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平 成 25 年 3 月 期 決 算 短 信 〔 日 本 基 準 〕( 連 結 )平 成 25 年 5 月 10 日上 場 会 社 名 株 式 会 社 セブン 銀 行 上 場 取 引 所 東コード 番 号 8410 URL http://www.sevenbank.co.jp/代 表 者 ( 役 職 名 ) 代 表 取 締 役 社 長 ( 氏 名 ) 二 子 石 謙 輔問 合 せ 先 責 任 者 ( 役 職 名 ) 取 締 役 常 務 執 行 役 員 企 画 部 長 ( 氏 名 ) 舟 竹 泰 昭 (TEL) 03-3211-3041定 時 株 主 総 会 開 催 予 定 日 平 成 25 年 6 月 18 日 配 当 支 払 開 始 予 定 日 平 成 25 年 6 月 3 日有 価 証 券 報 告 書 提 出 予 定 日 平 成 25 年 6 月 18 日 特 定 取 引 勘 定 設 置 の 有 無 無決 算 補 足 説 明 資 料 作 成 の 有 無 : 有決 算 説 明 会 開 催 の 有 無 : 有 (アナリスト、 機 関 投 資 家 向 け)( 表 示 単 位 未 満 切 捨 て)1. 平 成 25 年 3 月 期 の 連 結 業 績 ( 平 成 24 年 4 月 1 日 ~ 平 成 25 年 3 月 31 日 )(1) 連 結 経 営 成 績 (% 表 示 は 対 前 期 増 減 率 )経 常 収 益 経 常 利 益 当 期 純 利 益百 万 円 % 百 万 円 % 百 万 円 %25 年 3 月 期 94,965 - 31,871 - 19,377 -24 年 3 月 期 - - - - - -( 注 ) 包 括 利 益 25 年 3 月 期 20,496 百 万 円 ( -%) 24 年 3 月 期 - 百 万 円 ( -%)1 株 当 たり当 期 純 利 益潜 在 株 式 調 整 後1 株 当 たり 当 期 純 利 益自 己 資 本当 期 純 利 益 率総 資 産経 常 利 益 率経 常 収 益経 常 利 益 率円 銭 円 銭 % % %25 年 3 月 期 16.27 16.24 14.7 4.3 33.524 年 3 月 期 - - - - -( 参 考 ) 持 分 法 投 資 損 益 25 年 3 月 期 - 百 万 円 24 年 3 月 期 - 百 万 円( 注 ) 平 成 25 年 3 月 期 より 連 結 財 務 諸 表 を 作 成 しているため、 平 成 24 年 3 月 期 の 数 値 及 び 対 前 期 増 減 率 については 記 載 しておりません。(2) 連 結 財 政 状 態総 資 産 純 資 産 自 己 資 本 比 率 1 株 当 たり 純 資 産百 万 円 百 万 円 % 円 銭25 年 3 月 期 812,531 138,045 16.9 115.6624 年 3 月 期 - - - -( 参 考 ) 自 己 資 本 25 年 3 月 期 137,754 百 万 円 24 年 3 月 期 - 百 万 円( 注 )「 自 己 資 本 比 率 」は、( 期 末 純 資 産 の 部 合 計 - 期 末 新 株 予 約 権 )を 期 末 資 産 の 部 合 計 で 除 して 算 出 しております。なお、 本 「 自 己 資 本 比 率 」は、 自 己 資 本 比 率 告 示 に 定 める 自 己 資 本 比 率 ではありません。( 注 ) 平 成 25 年 3 月 期 より 連 結 財 務 諸 表 を 作 成 しているため、 平 成 24 年 3 月 期 の 数 値 については 記 載 しておりません。(3) 連 結 キャッシュ・フローの 状 況営 業 活 動 によるキャッシュ・フロー投 資 活 動 によるキャッシュ・フロー財 務 活 動 によるキャッシュ・フロー現 金 及 び 現 金 同 等 物期 末 残 高百 万 円 百 万 円 百 万 円 百 万 円25 年 3 月 期 118,550 △6,927 △8,157 472,01224 年 3 月 期 - - - -( 注 ) 平 成 25 年 3 月 期 より 連 結 財 務 諸 表 を 作 成 しているため、 平 成 24 年 3 月 期 の 数 値 については 記 載 しておりません。2. 配 当 の 状 況年 間 配 当 金第 1 四 半 期 末 第 2 四 半 期 末 第 3 四 半 期 末 期 末 合 計配 当 金 総 額( 合 計 )配 当 性 向( 連 結 )純 資 産配 当 率( 連 結 )円 銭 円 銭 円 銭 円 銭 円 銭 百 万 円 % %24 年 3 月 期 - 2,600.00 - 3.60 - 7,383 - -25 年 3 月 期 - 3.25 - 3.50 6.75 8,038 41.4 5.826 年 3 月 期 ( 予 想 ) - 3.50 - 3.50 7.00 40.2( 注 ) 当 社 は、 平 成 23 年 12 月 1 日 付 で 普 通 株 式 1 株 につき1,000 株 の 割 合 をもって 株 式 分 割 を 行 っております。 平 成 24 年 3 月 期 第 2 四 半 期 末の 配 当 は 株 式 分 割 前 に、 期 末 配 当 は 株 式 分 割 後 に 実 施 いたしました。 第 2 四 半 期 末 の 配 当 を 株 式 分 割 前 に 換 算 すると1 株 当 たり2 円60 銭 となり、 期 末 配 当 との 合 計 である 年 間 配 当 は6 円 20 銭 に 相 当 いたします。3. 平 成 26 年 3 月 期 の 連 結 業 績 予 想 ( 平 成 25 年 4 月 1 日 ~ 平 成 26 年 3 月 31 日 )(% 表 示 は、 通 期 は 対 前 期 、 第 2 四 半 期 ( 累 計 )は 対 前 年 同 四 半 期 増 減 率 )経 常 収 益 経 常 利 益 当 期 純 利 益 1 株 当 たり 当 期 純 利 益百 万 円 % 百 万 円 % 百 万 円 % 円 銭第 2 四 半 期 ( 累 計 ) 51,800 - 17,400 - 10,500 - 8.81通 期 104,100 9.6 34,600 8.5 20,700 6.8 17.38( 注 ) 平 成 25 年 3 月 期 第 2 四 半 期 は 四 半 期 連 結 財 務 諸 表 を 作 成 していないため、 第 2 四 半 期 ( 累 計 )の 対 前 年 同 四 半 期 増 減 率 については 記 載しておりません。


<str<strong>on</strong>g>Research</str<strong>on</strong>g> Reports Series - 98<str<strong>on</strong>g>Research</str<strong>on</strong>g> <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>on</strong>‘FACTORS FACILITATING PARTICIPATION OF WOMENIN MAHATMA GANDHI NREGS’Dr. C. DHEERAJADr. N.V. MADHURIMs. ANTARIPA DAIMARINATIONAL INSTITUTE OF RURAL DEVELOPMENTM<strong>in</strong>istry <strong>of</strong> Rural Development, Government <strong>of</strong> IndiaRAJENDRANAGAR, HYDERABAD- 500 030


© Nati<strong>on</strong>al Institute <strong>of</strong> Rural DevelopmentISBN No. ISBN No. 978-81-85542-April, 2013Published byNATIONAL INSTITUTE OF RURAL DEVELOPMENT(M<strong>in</strong>istry <strong>of</strong> Rural Development, Government <strong>of</strong> India)Rajendranagar, Hyderabad - 500 030. IndiaTeleph<strong>on</strong>e : 040 - 24008473www.nird.org.<strong>in</strong>Pr<strong>in</strong>ted at : VAISHNAVI LASER GRAPHICS, Ph. 040 - 27552178


CONTENTS1 Introducti<strong>on</strong> 12 Review <strong>of</strong> Literature 123 Methodology 174 Socio-ec<strong>on</strong>omic Pr<strong>of</strong>iles <strong>of</strong> the Sample Areas 195 Empirical Results 286 Summary and C<strong>on</strong>clusi<strong>on</strong>s 128Annexure - I


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 1Need for the <str<strong>on</strong>g>Study</str<strong>on</strong>g>CHAPTER - IINTRODUCTIONThe Nati<strong>on</strong>al Rural Employment Guarantee Act is a landmark <strong>in</strong>itiative<strong>in</strong> provid<strong>in</strong>g 100 days guaranteed employment <strong>on</strong> demand to every ruralhousehold at the m<strong>in</strong>imum wage whose adult members (both male andfemale) would like to do unskilled manual work. Participati<strong>on</strong> <strong>of</strong> community<strong>in</strong> NREGS is <strong>on</strong>e <strong>of</strong> the pre-requisites to enforce the ‘rights and entitlements’envisaged and make it community-oriented and demand-driven scheme.The success <strong>of</strong> the programme is entirely dependent <strong>on</strong> the participati<strong>on</strong> <strong>of</strong>the community <strong>in</strong> general and women <strong>in</strong> particular s<strong>in</strong>ce the share <strong>of</strong> latter<strong>in</strong> employment is almost 50 per cent. As women are found to be betterchange agents <strong>of</strong> socio-ec<strong>on</strong>omic transformati<strong>on</strong>, efforts are needed tostrengthen their participati<strong>on</strong> for household livelihood security as well asbetter asset management.The nati<strong>on</strong>al average number <strong>of</strong> days <strong>of</strong> employment <strong>in</strong> MGNREGSis still less than 50 days and it varies across different regi<strong>on</strong>s and states.Participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGS is reported to be largely passive <strong>in</strong>nature. Few studies have referred to some <strong>of</strong> the favourable and unfavourablefactors determ<strong>in</strong><strong>in</strong>g women’s participati<strong>on</strong> <strong>in</strong>clud<strong>in</strong>g <strong>in</strong>tensity <strong>of</strong> participati<strong>on</strong>.MGNREGA has several gender sensitive features that are attractivefor women workers. The Act stipulates that priority shall be given to women.In terms <strong>of</strong> implementati<strong>on</strong>, it mandates that a m<strong>in</strong>imum <strong>of</strong> <strong>on</strong>e-third <strong>of</strong> thebeneficiaries are to be women who have registered and have requested forwork (Schedule II, Secti<strong>on</strong> 6 <strong>of</strong> MGNREGA). The state is obliged to ensurecerta<strong>in</strong> worksite facilities to enhance women workers’ participati<strong>on</strong>. TheAct also stipulates payment <strong>of</strong> equal wages to male and female workers.Wage earn<strong>in</strong>gs <strong>of</strong> workers are to be paid directly to the pers<strong>on</strong> c<strong>on</strong>cernedRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 3it is assumed that women tend to resp<strong>on</strong>d more quickly to the needs <strong>of</strong>women. Acti<strong>on</strong>s towards women’s needs, accesses to resources andopportunities, c<strong>on</strong>trol over outputs and outcomes are essential. <strong>Women</strong>’sempowerment is a process and an outcome <strong>of</strong> the process, by which womenga<strong>in</strong> greater c<strong>on</strong>trol over material and <strong>in</strong>tellectual resources. Empowermentis a dynamic but slow process; it will take l<strong>on</strong>g time to br<strong>in</strong>g changes <strong>in</strong>women and particularly from those am<strong>on</strong>g poorer households. Dur<strong>in</strong>g thelast two decades, a number <strong>of</strong> development <strong>in</strong>terventi<strong>on</strong>s such as socialmobilisati<strong>on</strong>, formati<strong>on</strong> and network<strong>in</strong>g and capacity build<strong>in</strong>g <strong>of</strong> womenself-help groups have been put <strong>in</strong> place to empower women and MGNREGSis <strong>on</strong>e out <strong>of</strong> them. However, active participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> any programmeis a pre-requisite for the empowerment and thus the present study proposesto assess the participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGS.In spite <strong>of</strong> better possibilities <strong>of</strong> women’s participati<strong>on</strong> <strong>in</strong> NREGAwork, there are certa<strong>in</strong> problems associated with it such as social taboos(eg. women go<strong>in</strong>g for work outside home and that too tak<strong>in</strong>g up earthenwork <strong>in</strong> other people’s farm is a practice that is not accepted socially).S<strong>in</strong>ce men want more access to the highly paid NREGA work (<strong>in</strong> backwardregi<strong>on</strong>s), they very <strong>of</strong>ten put resistance to women’s participati<strong>on</strong>. Thepresence <strong>of</strong> illegal c<strong>on</strong>tractors has led to the harassment <strong>of</strong> women workers,and work<strong>in</strong>g c<strong>on</strong>diti<strong>on</strong>s have been found to be exploitative. S<strong>in</strong>ce womenare ignorant about the legal entitlements to get work <strong>on</strong> demand, they arevery <strong>of</strong>ten turned away by the c<strong>on</strong>tractors who th<strong>in</strong>k (women) they are lessefficient. Although the Act requires that when there are more than fivechildren under the age <strong>of</strong> six present at a worksite, a female worker (Aaya)should be appo<strong>in</strong>ted to take care <strong>of</strong> them, such a facility is neglected. Thishas discouraged participati<strong>on</strong> <strong>of</strong> women, especially breast-feed<strong>in</strong>g mothers.Aga<strong>in</strong>, certa<strong>in</strong> k<strong>in</strong>ds <strong>of</strong> work such as digg<strong>in</strong>g <strong>of</strong> wells etc., limit participati<strong>on</strong><strong>of</strong> women. Apart from this, delayed payment <strong>of</strong> wages also makes women’sparticipati<strong>on</strong> difficult, particularly for women who are the sole earners <strong>of</strong>their families.Nevertheless, NREGA has the potential to enhance women’s ec<strong>on</strong>omic<strong>in</strong>dependence through cash earn<strong>in</strong>gs. Such earn<strong>in</strong>gs can also br<strong>in</strong>g about aRS 97


4 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSsense <strong>of</strong> equality because women can earn the same wage as men. Theec<strong>on</strong>omic activities <strong>of</strong> women have become directly visible because <strong>of</strong> theAct. However, there is much to do <strong>in</strong> achiev<strong>in</strong>g gender equality andsensitivity, which needs a comprehensive perspective.So the present study sought to explore, through <strong>in</strong>tensive field<strong>in</strong>vestigati<strong>on</strong>s, the reas<strong>on</strong>s beh<strong>in</strong>d, extent and the implicati<strong>on</strong>s <strong>of</strong> women’sparticipati<strong>on</strong> <strong>in</strong> NREGA <strong>in</strong> selected districts <strong>of</strong> four States, Kerala, WestBengal, Andhra Pradesh and Bihar.Participati<strong>on</strong> and Rural DevelopmentIn their modern form, the c<strong>on</strong>cepts <strong>of</strong> community development andcommunity participati<strong>on</strong> took shape <strong>in</strong> the 1950s (Chowdhury, 1996). Fromthe situati<strong>on</strong> <strong>in</strong> the 1950s, community development was perceived to besyn<strong>on</strong>ymous with community participati<strong>on</strong>.Participati<strong>on</strong> is a rich c<strong>on</strong>cept that varies with its applicati<strong>on</strong> anddef<strong>in</strong>iti<strong>on</strong>. The way participati<strong>on</strong> is def<strong>in</strong>ed also depends <strong>on</strong> the c<strong>on</strong>text <strong>in</strong>which it occurs. For some, it is a matter <strong>of</strong> pr<strong>in</strong>ciple; for others, practice;for still others, an end <strong>in</strong> itself (World Bank, 1995). Often the termparticipati<strong>on</strong> is modified with adjectives, result<strong>in</strong>g <strong>in</strong> terms such ascommunity participati<strong>on</strong>, citizen participati<strong>on</strong>, people’s participati<strong>on</strong>, publicparticipati<strong>on</strong>, and popular participati<strong>on</strong>. The Oxford English Dicti<strong>on</strong>ary def<strong>in</strong>esparticipati<strong>on</strong> as “to have a share <strong>in</strong>” or “to take part <strong>in</strong>,” thereby emphasis<strong>in</strong>gthe rights <strong>of</strong> <strong>in</strong>dividuals and the choices that they make <strong>in</strong> order to participate.Brager, Specht, and Torczyner (1987) def<strong>in</strong>ed participati<strong>on</strong> as a meansto educate citizens and to <strong>in</strong>crease their competence. It is a vehicle for<strong>in</strong>fluenc<strong>in</strong>g decisi<strong>on</strong>s that affect the lives <strong>of</strong> citizens and an avenue fortransferr<strong>in</strong>g political power. However, it can also be a method to co-optdissent, a mechanism for ensur<strong>in</strong>g the receptivity, sensitivity, and evenaccountability <strong>of</strong> social services to the c<strong>on</strong>sumers. Armitage (1988) def<strong>in</strong>edcitizen participati<strong>on</strong> as a process by which citizens act <strong>in</strong> resp<strong>on</strong>se to publicc<strong>on</strong>cerns, voice their op<strong>in</strong>i<strong>on</strong>s about decisi<strong>on</strong>s that affect them, and takeresp<strong>on</strong>sibility for changes to their community.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 5The community development approach emphasises self-help, thedemocratic process, and local leadership <strong>in</strong> community revitalisati<strong>on</strong> (Barker,1991). Most <strong>of</strong> community development works <strong>in</strong>volve participati<strong>on</strong> <strong>of</strong> thecommunities or beneficiaries <strong>in</strong>volved (Smith, 1998). Thus, communityparticipati<strong>on</strong> is an important comp<strong>on</strong>ent <strong>of</strong> community development andreflects a grassroots or bottom-up approach to problem solv<strong>in</strong>g. In socialwork, community participati<strong>on</strong> refers to “. . . the active voluntary engagement<strong>of</strong> <strong>in</strong>dividuals and groups to change problematic c<strong>on</strong>diti<strong>on</strong>s and to <strong>in</strong>fluencepolicies and programs that affect the quality <strong>of</strong> their lives or the lives <strong>of</strong>others” (Gamble and Weil, 1995).One <strong>of</strong> the major aims <strong>of</strong> community development is to encourageparticipati<strong>on</strong> <strong>of</strong> the community as a whole. Indeed, community developmenthas been def<strong>in</strong>ed as a social process result<strong>in</strong>g from citizen participati<strong>on</strong>(UN, 1963; Vaughan,1972; Darby and Morris, 1975; Christens<strong>on</strong> and Rob<strong>in</strong>s<strong>on</strong>,1980; Rahman, 1990 <strong>in</strong> Smith, 1998). Though, a broad cross- secti<strong>on</strong> <strong>of</strong> thecommunity is encouraged to identify and articulate their own goals, designtheir own methods <strong>of</strong> change, and pool their resources <strong>in</strong> the problemsolv<strong>in</strong>gprocess, still marg<strong>in</strong>alised secti<strong>on</strong>s <strong>of</strong> the society like SCs, STs,m<strong>in</strong>orities, women, physically challenged pers<strong>on</strong>s are not able to grabopportunities <strong>of</strong> participati<strong>on</strong>.It is noteworthy that till late 1990s participati<strong>on</strong> <strong>of</strong> socially andec<strong>on</strong>omically marg<strong>in</strong>alised was not acknowledged <strong>in</strong> the literature, thoughthey were always expected to become actively <strong>in</strong>volved <strong>in</strong> procur<strong>in</strong>g theirown services. How can poor people’s participati<strong>on</strong> be <strong>of</strong> greatest use?Rankopo (1995) and Midgley (1995) identify four typical state resp<strong>on</strong>sestoward participati<strong>on</strong> <strong>in</strong> majority world nati<strong>on</strong>s: the anti-participatory mode,the manipulative mode, the <strong>in</strong>cremental mode, and (the most desirable) theparticipatory mode. In the latter case, the state sp<strong>on</strong>sors participatoryactivities through tra<strong>in</strong><strong>in</strong>g and deployment <strong>of</strong> social development workers,and the provisi<strong>on</strong> <strong>of</strong> material, f<strong>in</strong>ancial, and other forms <strong>of</strong> assistance(Bailey, 1996).RS 97


6 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSPerformance <strong>of</strong> MGNREGSBe<strong>in</strong>g the first ever law <strong>in</strong> the country that guarantees wageemployment <strong>on</strong> an unprecedented scale, MGNREGA aims at enhanc<strong>in</strong>glivelihood security <strong>of</strong> households <strong>in</strong> rural areas <strong>of</strong> the country by provid<strong>in</strong>gat least <strong>on</strong>e hundred days <strong>of</strong> guaranteed wage employment <strong>in</strong> a f<strong>in</strong>ancialyear to every household whose adult members volunteer to do unskilledmanual work. Unique features <strong>of</strong> the Act <strong>in</strong>ter alia <strong>in</strong>clude, time-boundemployment guarantee and wage payment with<strong>in</strong> 15 days, <strong>in</strong>centivedis<strong>in</strong>centivestructure to the state governments for provid<strong>in</strong>g or not provid<strong>in</strong>gemployment as per demand, emphasis <strong>on</strong> labour <strong>in</strong>tensive works prohibit<strong>in</strong>gthe use <strong>of</strong> c<strong>on</strong>tractors and mach<strong>in</strong>ery as well as ensur<strong>in</strong>g the creati<strong>on</strong> <strong>of</strong>durable community, social and ec<strong>on</strong>omic <strong>in</strong>frastructure and assets <strong>in</strong> ruralareas. The Act also mandates 33 per cent participati<strong>on</strong> for women.The potential <strong>of</strong> NREGA spans a range <strong>of</strong> possibilities. The primaryobjective <strong>of</strong> the Act is augment<strong>in</strong>g wage employment. The choice <strong>of</strong> workssuggested <strong>in</strong> the Act addresses causes <strong>of</strong> chr<strong>on</strong>ic poverty like drought,deforestati<strong>on</strong> and soil erosi<strong>on</strong>, so that the process <strong>of</strong> employment generati<strong>on</strong>is ma<strong>in</strong>ta<strong>in</strong>ed <strong>on</strong> a susta<strong>in</strong>able basis. The Act is also a significant vehiclefor strengthen<strong>in</strong>g decentralisati<strong>on</strong> and deepen<strong>in</strong>g processes <strong>of</strong> democracyby giv<strong>in</strong>g a pivotal role to local governance bodies, that is, the PanchayatiRaj Instituti<strong>on</strong>s.In 2009-2010, up to December 2009, an amount <strong>of</strong> ` 18950 crorewas utilised out <strong>of</strong> ` 39,100 crore and dur<strong>in</strong>g the same period 160 crorepers<strong>on</strong>days employment was generated across the country. At the nati<strong>on</strong>allevel, average wage paid under MGNREGA <strong>in</strong>creased from ` 65 (FY 2006-07) to ` 88.48 <strong>in</strong> FY 2009-10. This has led to a strengthen<strong>in</strong>g <strong>of</strong> the livelihoodresource base <strong>of</strong> the rural poor <strong>in</strong> India. In 2008-09, 67 per cent <strong>of</strong> fundsutilised (` 18200.03 crore as wage bill) were <strong>in</strong> the form <strong>of</strong> wages paid tothe labourers. In 2009-10, 69 per cent <strong>of</strong> the funds were utilised <strong>in</strong> the form<strong>of</strong> wages (` 18806.39 crore as wage bill).In FY 2009-10, 36.51 lakhs works were undertaken, <strong>of</strong> which 51 percent c<strong>on</strong>stituted water c<strong>on</strong>servati<strong>on</strong>, 16 per cent rural c<strong>on</strong>nectivity, 14 perRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 7cent land development and provisi<strong>on</strong> <strong>of</strong> irrigati<strong>on</strong> facility to <strong>in</strong>dividualbeneficiaries c<strong>on</strong>stituted around 17 per cent. There is ample scope to <strong>in</strong>volvethe (poor) women <strong>in</strong> these works.Participati<strong>on</strong> <strong>in</strong> MGNREGSAs MGNREGA is a right-based programme, participati<strong>on</strong> <strong>of</strong> thecommunity enriches the spirit <strong>of</strong> the programme. The Act empowers ord<strong>in</strong>arypeople to play an active role <strong>in</strong> the implementati<strong>on</strong> <strong>of</strong> employment guaranteeschemes through Gram Sabhas, social audits, participatory plann<strong>in</strong>g andother means. It is very important to make sure that the disadvantagedgroups, low status groups, m<strong>in</strong>ority groups and poorer groups are not leftout <strong>in</strong> c<strong>on</strong>sultati<strong>on</strong> process and participati<strong>on</strong> process.No doubt that NREGA is the first Act <strong>in</strong> its type which is more<strong>in</strong>clusive <strong>in</strong> nature. When it comes to the <strong>in</strong>clusi<strong>on</strong> <strong>of</strong> women labourers <strong>in</strong>NREGA, half <strong>of</strong> the whole workforce are women (it is 47 per cent dur<strong>in</strong>g thef<strong>in</strong>ancial year <strong>of</strong> 2008-09 and <strong>in</strong>creased to 51 per cent <strong>in</strong> the year <strong>of</strong> 2009-10). That means the <strong>in</strong>volvement <strong>of</strong> women <strong>in</strong> NREGA is mov<strong>in</strong>g upward, ifseen from aggregate data at nati<strong>on</strong>al level.However, the rate <strong>of</strong> women’s <strong>in</strong>volvement <strong>in</strong> NREGA work variesfrom State to State, and <strong>in</strong> certa<strong>in</strong> States participati<strong>on</strong> is really a matter <strong>of</strong>c<strong>on</strong>cern. For <strong>in</strong>stance, dur<strong>in</strong>g the year 2008-09, <strong>in</strong> States like Bihar, Jharkhand,Uttar Pradesh and West Bengal, the percentage <strong>of</strong> women’s participati<strong>on</strong>was either 30 or less than that. It should be noted here that these are theStates where the share <strong>of</strong> women <strong>in</strong> the total rural workforce is high. InStates like Arunachal Pradesh, Assam, Haryana and Jammu and Kashmiralso, we come across a similar scenario <strong>of</strong> low women participati<strong>on</strong> <strong>in</strong>NREGA.In the last f<strong>in</strong>ancial year 2009-10, Bihar, Uttar Pradesh, ArunachalPradesh, Assam, Punjab and Jammu and Kashmir rema<strong>in</strong>ed <strong>in</strong> the same listwhere women’s participati<strong>on</strong> was less than 30 per cent. Although <strong>in</strong> Stateslike Jharkhand (32 per cent) and West Bengal (37 per cent) women’sparticipati<strong>on</strong> has <strong>in</strong>creased, it is very low <strong>in</strong> comparis<strong>on</strong> to the previousRS 97


8 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSyear i.e 2008-09. In terms <strong>of</strong> <strong>in</strong>clusi<strong>on</strong> <strong>of</strong> women labourers <strong>in</strong> NREGA work,the southern States have performed well. In 2009-10 Kerala stood <strong>on</strong> thetop, where percentage <strong>of</strong> women’s participati<strong>on</strong> was more than 83. Am<strong>on</strong>gother south Indian States, Tamil Nadu (78 per cent), Andhra Pradesh (58 percent) and Karnataka (45 per cent) performed well. Details are presented <strong>in</strong>Table 1. The Coefficients <strong>of</strong> Variati<strong>on</strong> (CoV) have been <strong>in</strong>creas<strong>in</strong>g over time<strong>in</strong>dicat<strong>in</strong>g that <strong>in</strong>ter-state variati<strong>on</strong>s <strong>in</strong> the share <strong>of</strong> women <strong>in</strong> employmenthave been <strong>in</strong>creas<strong>in</strong>g. It would be <strong>in</strong>terest<strong>in</strong>g to study the factors facilitat<strong>in</strong>gas well as h<strong>in</strong>der<strong>in</strong>g women’s participati<strong>on</strong> <strong>in</strong> states with different levels <strong>of</strong>women’s share <strong>in</strong> NREGS employment.Table 1 : Share <strong>of</strong> <strong>Women</strong> <strong>in</strong> EmploymentS.No. Name <strong>of</strong> the State 2006-07 2007-08 2008-09 2009-10(1) (2) (3) (4) (5) (6)1 Andhra Pradesh 54.79 57.75 58.15 58.102 Bihar 17.38 26.62 30.02 30.043 Chhattisgarh 39.32 42.05 47.43 49.214 Goa – – – 62.165 Gujarat 50.20 46.55 42.82 47.556 Haryana 30.60 34.42 30.65 34.817 Himachal Pradesh 12.24 30.10 39.02 46.098 Jammu & Kashmir 4.46 1.08 5.76 6.679 Jharkhand 39.48 27.17 28.51 34.2510 Karnataka 50.56 50.27 50.42 36.7911 Kerala 65.63 71.39 85.01 88.1912 Madhya Pradesh 43.24 41.67 43.28 44.23(C<strong>on</strong>td.)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 9Table 1 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6)13 Maharashtra 37.07 39.99 46.22 39.6514 Odisha 35.60 36.39 37.58 36.2515 Punjab 37.76 16.29 24.61 26.2916 Rajasthan 67.14 69.00 67.11 66.8917 Tamil Nadu 81.11 82.01 79.67 82.9118 Uttar Pradesh 16.55 14.53 18.11 21.6719 Uttarakhand 30.47 42.77 36.86 40.2820 West Bengal 18.28 16.99 26.53 33.4221 Assam 31.67 30.85 27.16 27.7022 Meghalaya 19.41 30.87 41.35 47.2023 Tripura 75.00 44.51 51.01 41.0924 Sikkim 24.79 36.74 37.66 51.2225 Arunachal Pradesh 30.02 29.75 26.13 17.2626 Mizoram 33.38 33.62 36.58 34.9927 Nagaland 29.97 29.35 36.70 43.5328 Manipur 50.89 32.80 45.92 47.98All-India 40.65 42.52 47.88 48.10CoV 54.8 51.8 47.5 41.5Analytical FrameworkAn analytical framework for the present study has been worked outand presented <strong>in</strong> Chart 1, where, several assumpti<strong>on</strong>s are presented <strong>in</strong> theform <strong>of</strong> pathways l<strong>in</strong>k<strong>in</strong>g the worker household traits, family background,RS 97


10 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSc<strong>on</strong>cerns <strong>of</strong> the delivery system for pro-women participati<strong>on</strong> and supportsystems like CBOs and SHGs to facilitate women’s role <strong>in</strong> decisi<strong>on</strong> mak<strong>in</strong>gat household level and thereby the participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> various stages<strong>of</strong> MGNREGS and the subsequent changes <strong>in</strong> self etc. Individual traits likeage, literacy, participati<strong>on</strong> <strong>in</strong> development programmes and labour marketsal<strong>on</strong>g with family background coupled with favourable socio-ec<strong>on</strong>omic andcultural envir<strong>on</strong>ment should enable the (poor) women to ga<strong>in</strong> improvedaccess to <strong>in</strong>formati<strong>on</strong> and resources and provide opportunities for a greatersay <strong>in</strong> decisi<strong>on</strong> mak<strong>in</strong>g both at household and community levels. <strong>Women</strong>’sparticipati<strong>on</strong> <strong>in</strong> decisi<strong>on</strong> mak<strong>in</strong>g is expected to enhance the nature, qualityand <strong>in</strong>tensity <strong>of</strong> participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> different stages <strong>of</strong> MGNREGSand thereby lead<strong>in</strong>g to qualitative changes <strong>in</strong> the percepti<strong>on</strong> <strong>of</strong> ‘self’.The magnitude <strong>of</strong> employment and c<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> women <strong>in</strong>household earn<strong>in</strong>gs can improve their access to and c<strong>on</strong>trol over ec<strong>on</strong>omicresources. This would also enhance their say <strong>in</strong> decisi<strong>on</strong> mak<strong>in</strong>g <strong>in</strong> variousaspects like food c<strong>on</strong>sumpti<strong>on</strong>, health care and school<strong>in</strong>g <strong>of</strong> children. Theresultant improvement <strong>in</strong> well-be<strong>in</strong>g <strong>of</strong> the household would br<strong>in</strong>g asusta<strong>in</strong>able change <strong>in</strong> self.It is assumed that enhanced regular cash flow holds promise <strong>of</strong>improved sav<strong>in</strong>gs and credit worth<strong>in</strong>ess <strong>in</strong> the market and thereby facilitatesbetter access to credit. Thus, improved wage <strong>in</strong>comes <strong>of</strong> women wouldhelp <strong>in</strong> proper spend<strong>in</strong>g <strong>in</strong> health care, nutriti<strong>on</strong> and educati<strong>on</strong> <strong>of</strong> children(Human and Social Capital formati<strong>on</strong>).The enlightened and enabled women can also participate <strong>in</strong> thecommunity matters with the support <strong>of</strong> the CBOs such as SHGs and womenempowerment programmes. The membership <strong>of</strong> women <strong>in</strong> communityorganisati<strong>on</strong>s would expedite the change process. It is imperative thatfactors like literacy, awareness, participati<strong>on</strong> <strong>in</strong> development and socialcapital play a critical role <strong>in</strong> expedit<strong>in</strong>g the empowerment process. In apatriarchal society, the process is expected to be rather slow. However, thevibrancy <strong>of</strong> the local <strong>in</strong>stituti<strong>on</strong>s (LIs), development programmes and thesensitivity <strong>of</strong> the delivery mechanism work<strong>in</strong>g for the cause <strong>of</strong> women canquicken the process <strong>of</strong> change.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 11The nature <strong>of</strong> participati<strong>on</strong> <strong>in</strong> right-based programmes like MGNREGSwould impact the competence and capabilities <strong>of</strong> women. The <strong>in</strong>creasedself-c<strong>on</strong>fidence, social recogniti<strong>on</strong>, changed roles and leadership qualitiestogether transform their own functi<strong>on</strong><strong>in</strong>g. This type <strong>of</strong> change <strong>in</strong> womencan be c<strong>on</strong>strued as an important <strong>in</strong>dicator <strong>of</strong> their empowerment.Thus <strong>in</strong> the present study an attempt was made to test the assumedpathway <strong>of</strong> analytical framework, where the socio-ec<strong>on</strong>omic pr<strong>of</strong>ile <strong>of</strong> thesample gett<strong>in</strong>g the support <strong>of</strong> the enabl<strong>in</strong>g envir<strong>on</strong>ment and <strong>in</strong>dividualtraits have resulted <strong>in</strong> quality <strong>of</strong> participati<strong>on</strong> and thereby <strong>in</strong> quality <strong>of</strong> life.RS 97


12 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSCHAPTER - IIREVIEW OF LITERATUREThere are many studies d<strong>on</strong>e <strong>on</strong> evaluati<strong>on</strong> <strong>of</strong> the Nati<strong>on</strong>al RuralEmployment Guarantee Scheme (NREGS). The literature reviewed herefocuses <strong>on</strong> different studies that look at problems <strong>in</strong> the implementati<strong>on</strong> <strong>of</strong>the scheme <strong>in</strong> general and <strong>in</strong> particular perta<strong>in</strong><strong>in</strong>g to women and at possibleways to deal with these problems. They aim to assess NREGA’s impact <strong>on</strong>the rural women and propose different changes how the scheme could beimproved <strong>in</strong> order to meet its goals. This review <strong>of</strong> literature gives a directi<strong>on</strong>for our current study <strong>on</strong> factors that facilitate participati<strong>on</strong> <strong>of</strong> women <strong>in</strong>MGNREGS.Richard Mahapatra <strong>in</strong> his article “How <strong>Women</strong> seized NREGA”menti<strong>on</strong>s that unique features <strong>of</strong> the public wage programme turned it <strong>in</strong>toa magnet for women. More women than men work under the nati<strong>on</strong>alprogramme that guarantees employment to rural people. In the currentfiscal till October, women availed <strong>of</strong> more than 50 per cent <strong>of</strong> employmentcreated under the Mahatma Gandhi Nati<strong>on</strong>al Rural Employment GuaranteeAct (MGNREGA). Their participati<strong>on</strong> has been grow<strong>in</strong>g s<strong>in</strong>ce the <strong>in</strong>cepti<strong>on</strong><strong>of</strong> the Act <strong>in</strong> 2006. This is remarkable given that <strong>on</strong>ly 28.7 per cent womenform a part <strong>of</strong> the country’s workforce, accord<strong>in</strong>g to the Nati<strong>on</strong>al SampleSurvey Organisati<strong>on</strong> data <strong>of</strong> 2004-05, the latest such data available for thecountry, women take up this opportunity (MGNREGS) as ec<strong>on</strong>omic freedom.In Kerala, Tamil Nadu and Rajasthan, history <strong>of</strong> women mobilisati<strong>on</strong> forschemes and campaigns seems to have c<strong>on</strong>tributed to their higherparticipati<strong>on</strong>. In Rajasthan, the campaign for social audits, <strong>in</strong> which womenplay a major role, has c<strong>on</strong>tributed to enhanced awareness and <strong>in</strong>creasedparticipati<strong>on</strong> under MGNREGA. The State’s MGNREGA worksites have goodfacilities for children and women. In Kerala, management <strong>of</strong> worksites andother logistics for implementati<strong>on</strong> is placed <strong>in</strong> the hands <strong>of</strong> women self-RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 13help groups under the poverty eradicati<strong>on</strong> missi<strong>on</strong>, Kudumbasree. He alsomenti<strong>on</strong>ed that it is mandatory to have 50 per cent women panchayatrepresentatives who have nodal role to play <strong>in</strong> the programme’simplementati<strong>on</strong>, <strong>in</strong>clud<strong>in</strong>g prepar<strong>in</strong>g the village development plan. So, ifthe supervisory roles <strong>of</strong> panchayat members and the dom<strong>in</strong>ant presence <strong>of</strong>workers c<strong>on</strong>verge, it will be a w<strong>in</strong>-w<strong>in</strong> situati<strong>on</strong> for the programme as wellas villages.Trishna Kalita <strong>in</strong> her article “<strong>Women</strong>’s Participati<strong>on</strong> <strong>in</strong> NREGA” sharesthat women like NREGA work for various reas<strong>on</strong>s. Firstly, it is locallyavailable. Sec<strong>on</strong>dly, there is less chance <strong>of</strong> exploitati<strong>on</strong>. Thirdly, there areregularity and predictability <strong>of</strong> work<strong>in</strong>g hours. Fourthly, such works aresocially acceptable and dignified. And f<strong>in</strong>ally, they are better paid <strong>in</strong>comparis<strong>on</strong> to other works. In spite <strong>of</strong> better possibilities <strong>of</strong> women’sparticipati<strong>on</strong> <strong>in</strong> NREGA work, there are certa<strong>in</strong> problems associated with it.We have certa<strong>in</strong> social taboos, and it is said that women are too weak towork and that go<strong>in</strong>g for work outside home <strong>in</strong> their case is sociallyunacceptable. The hostility <strong>of</strong> the panchayat functi<strong>on</strong>aries and male relatives<strong>of</strong> women to female participati<strong>on</strong> <strong>in</strong> NREGA has resulted <strong>in</strong> the exclusi<strong>on</strong><strong>of</strong> the names <strong>of</strong> many women from job cards <strong>in</strong> many places. S<strong>in</strong>ce menwant more access to the highly paid NREGA work, they very <strong>of</strong>ten putresistance to women’s participati<strong>on</strong>. The presence <strong>of</strong> illegal c<strong>on</strong>tractors hasled to the harassment <strong>of</strong> women workers, and the c<strong>on</strong>diti<strong>on</strong> <strong>of</strong> work run byc<strong>on</strong>tractors has been exploitative. S<strong>in</strong>ce women are ignorant about thelegal entitlement to get work <strong>on</strong> demand, they are very <strong>of</strong>ten turned awayby the c<strong>on</strong>tractors who th<strong>in</strong>k they (women) are less efficient.Although the Act requires that when there are more than five childrenunder the age <strong>of</strong> six present at a worksite, a female worker should beappo<strong>in</strong>ted to take care <strong>of</strong> them, such a facility is almost nil. This hasdiscouraged the participati<strong>on</strong> <strong>of</strong> women, especially breast-feed<strong>in</strong>g mothers.Aga<strong>in</strong>, certa<strong>in</strong> k<strong>in</strong>ds <strong>of</strong> work such as digg<strong>in</strong>g <strong>of</strong> wells etc. limit the participati<strong>on</strong><strong>of</strong> women. Apart from this, delayed payment <strong>of</strong> wages also makes women’sparticipati<strong>on</strong> difficult, particularly for women who are the sole earners <strong>of</strong>their families.RS 97


14 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSNevertheless, she menti<strong>on</strong>s that NREGA has the potential to enhancewomen’s ec<strong>on</strong>omic <strong>in</strong>dependence through cash earn<strong>in</strong>gs. Such earn<strong>in</strong>gs canalso br<strong>in</strong>g about a sense <strong>of</strong> equality because women can earn the samewage as men. The ec<strong>on</strong>omic activities <strong>of</strong> women have become directlyvisible because <strong>of</strong> the Act. However, there is much to do <strong>in</strong> achiev<strong>in</strong>ggender equality and sensibility, which needs a comprehensive perspective.A study c<strong>on</strong>ducted by the “Nati<strong>on</strong>al Federati<strong>on</strong> <strong>of</strong> Indian <strong>Women</strong>(NFIW)” <strong>on</strong> “Socio-ec<strong>on</strong>omic empowerment <strong>of</strong> women under NREGA” <strong>in</strong>selected districts <strong>of</strong> Chhattisgarh, Madhya Pradesh, Odisha and Tamil Nadufound out that there was enhanced women’s identity and empowerment asNREGA provided an ec<strong>on</strong>omic opportunity. Resp<strong>on</strong>dents <strong>in</strong> all the stateshave been found to be very optimistic about the importance <strong>of</strong> NREGA <strong>in</strong>their lives. Another aspect <strong>of</strong> understand<strong>in</strong>g NREGA is the grow<strong>in</strong>gc<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> women workers to the sources <strong>of</strong> their households’ livelihood.The study reveals that <strong>in</strong> spite <strong>of</strong> all the grey areas <strong>in</strong> the implementati<strong>on</strong><strong>of</strong> NREGA, a silent revoluti<strong>on</strong> is tak<strong>in</strong>g place <strong>in</strong> rural India with respect towomen <strong>in</strong> disguise. The major f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> the study are that with NREGS,women workers are gett<strong>in</strong>g empowered as visible <strong>in</strong> the form <strong>of</strong> grow<strong>in</strong>gc<strong>on</strong>tributi<strong>on</strong>s to household expenditure, bear<strong>in</strong>g cost <strong>of</strong> children’s educati<strong>on</strong>and healthcare, women have also started to appear more actively <strong>in</strong> therural public sphere as they take up their work and resp<strong>on</strong>sibilities and thereis a general trend <strong>of</strong> low migrati<strong>on</strong> <strong>in</strong> the areas where assessment wascarried out and workers have started to repay their debts. The study revealsthat despite numerous problems, NREGA is a programme that has begun tomake a difference <strong>in</strong> the lives <strong>of</strong> women. Furthermore, it is popular am<strong>on</strong>gthe workers, who rout<strong>in</strong>ely ask if more work could be made available tothem under the NREGA.The Project Report “An appraisal <strong>of</strong> NREGA <strong>in</strong> the states <strong>of</strong> Meghalayaand Sikkim” by Pr<strong>of</strong>. B. Panda, Pr<strong>of</strong>. A.K. Dutta and Pr<strong>of</strong>. S.Prosty <strong>of</strong> IIM-Shill<strong>on</strong>g menti<strong>on</strong>s that <strong>on</strong>e <strong>of</strong> the poignant and most visible l<strong>in</strong>k impacts <strong>of</strong>NREGA is promoti<strong>on</strong> <strong>of</strong> women empowerment. Provisi<strong>on</strong> <strong>of</strong> equal wages formen and women <strong>in</strong> the Act, the opportunity to share <strong>in</strong>formati<strong>on</strong> dur<strong>in</strong>g thecourse <strong>of</strong> work <strong>in</strong> NREGS worksite, the opportunity and necessity <strong>of</strong> <strong>in</strong>teract<strong>in</strong>gRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 15with the bank/post <strong>of</strong>fice/government <strong>of</strong>ficials have all <strong>in</strong> a fundamentalway empowered the rural tribal women by enhanc<strong>in</strong>g their c<strong>on</strong>fidence leveland by ensur<strong>in</strong>g some degree <strong>of</strong> f<strong>in</strong>ancial <strong>in</strong>dependence. Work<strong>in</strong>g <strong>in</strong> NREGAhas given an opportunity to workers particularly women workers to share<strong>in</strong>formati<strong>on</strong> am<strong>on</strong>g fellow workers. This has led to Knowledge Empowerment<strong>in</strong> the tribal society. Similarly, NREGA has also brought <strong>in</strong> improvement <strong>in</strong>the health status <strong>of</strong> the women workers. About 96 per cent <strong>of</strong> womenworkers surveyed are <strong>of</strong> the op<strong>in</strong>i<strong>on</strong> that they have been able to gather<strong>in</strong>formati<strong>on</strong> <strong>on</strong> health related problems through <strong>in</strong>teracti<strong>on</strong> with their coworkerswhile work<strong>in</strong>g <strong>in</strong> NREGS.In <strong>on</strong>e <strong>of</strong> UN’s “Soluti<strong>on</strong> Exchange for the Work and EmploymentCommunity” workshop <strong>on</strong> NREGS many themes like “Ensur<strong>in</strong>g <strong>Women</strong>Exercise the Right to Work”, “Entitl<strong>in</strong>g <strong>Women</strong>’s Participati<strong>on</strong> In Work” and“Empower<strong>in</strong>g <strong>Women</strong>’s Participati<strong>on</strong>” were discussed which recommendedthat District Perspective Plan should be prepared <strong>in</strong> a participatory mode sothat women can also be <strong>in</strong>volved <strong>in</strong> the preparati<strong>on</strong> <strong>of</strong> village / GramPanchayat development plans. In this process, selecti<strong>on</strong> <strong>of</strong> works can bel<strong>in</strong>ked to development priorities <strong>of</strong> GP and gender c<strong>on</strong>cerns <strong>in</strong> selecti<strong>on</strong> <strong>of</strong>works can also be ensured. Attempts should be made to evolve certa<strong>in</strong>mechanisms similar to those adopted under people’s campaign <strong>of</strong> Kerala.This would also facilitate people’s participati<strong>on</strong> <strong>in</strong>clud<strong>in</strong>g women for overalldevelopment and selecti<strong>on</strong> <strong>of</strong> need based development projects. Regard<strong>in</strong>gentitlements, it was suggested that women’s entitlements <strong>in</strong> NREGP bepr<strong>in</strong>ted <strong>in</strong> simple language and given to each Fr<strong>on</strong>t L<strong>in</strong>e Worker before thecommencement <strong>of</strong> the works. It was also suggested to make arrangementsto provide the mandatory crèche services close to the homes <strong>of</strong> NREGPworkers. <strong>Women</strong> workers should be asked for suggesti<strong>on</strong>s <strong>on</strong> how facilitiesand services can be provided / improved. Such <strong>in</strong>formati<strong>on</strong> be collated bythe Programme Officer and <strong>in</strong>corporated <strong>in</strong>to the DPP (District PerspectivePlan). F<strong>in</strong>ally for empower<strong>in</strong>g the women wage seekers it was suggestedthat a workers’ forum be held every 15 days <strong>on</strong> payment day and an audit<strong>of</strong> the accounts as well as a gender audit based <strong>on</strong> specific <strong>in</strong>dicators bec<strong>on</strong>ducted. The workers’ forum should be used for the resoluti<strong>on</strong> <strong>of</strong> anydisputes that may have arisen <strong>in</strong> relati<strong>on</strong> to the work. If the nature <strong>of</strong> theRS 97


16 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSdispute is such that the <strong>in</strong>terventi<strong>on</strong> <strong>of</strong> a senior <strong>of</strong>ficial is required thematter may be postp<strong>on</strong>ed to the next payment day if the work is c<strong>on</strong>t<strong>in</strong>u<strong>in</strong>g.If the work is completed, the dispute should be resolved with<strong>in</strong> a week, asworkers may need to migrate for work.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 17CHAPTER - IIIOBJECTIVES, HYPOTHESES AND METHODOLOGYObjectivesThe specific objectives <strong>of</strong> the study are:* To assess the present status <strong>of</strong> women’s participati<strong>on</strong> <strong>in</strong> MahatmaGandhi NREGS <strong>in</strong> all phases;* To analyse the facilitat<strong>in</strong>g factors as well as h<strong>in</strong>der<strong>in</strong>g factors (socioculturaland ec<strong>on</strong>omic) for qualitative participati<strong>on</strong> <strong>of</strong> women <strong>in</strong>MGNREGS and State-specific development programmes effect<strong>in</strong>gwomen’s participati<strong>on</strong>.* To study the <strong>in</strong>fluence <strong>of</strong> social capital and gender sensitivity <strong>of</strong>functi<strong>on</strong>aries <strong>in</strong> MGNREGS <strong>on</strong> participati<strong>on</strong> <strong>of</strong> women wage seekers.<str<strong>on</strong>g>Study</str<strong>on</strong>g> AreaThe study was taken up <strong>in</strong> four States (different typologies); <strong>on</strong>eeach from high (Kerala-88.17 per cent) and low (West Bengal-33.4 per cent)performance States based <strong>on</strong> the extent <strong>of</strong> participati<strong>on</strong> <strong>of</strong> women <strong>in</strong>MGNREGS works. Another two States were selected based <strong>on</strong> the Statesspecific women development programmes, Bihar (Jeevika) and AndhraPradesh (women functi<strong>on</strong>aries). In each State <strong>on</strong>e district was selectedbased <strong>on</strong> the criteria used for the selecti<strong>on</strong> <strong>of</strong> the State. Further, two blocksand four Gram Panchayats from each district, with same criteria wereselected. About twenty five women workers randomly were selected for thesample from each GP based <strong>on</strong> caste and number <strong>of</strong> days <strong>of</strong> MGNREGSemployment.RS 97


18 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSMethodologySurvey <strong>in</strong>struments <strong>in</strong>clude structured schedules for MGNREGSwomen workers, Focused Group Discussi<strong>on</strong>s (FGDs) and <strong>in</strong>terviews.Informati<strong>on</strong> was collected <strong>on</strong> the socio-ec<strong>on</strong>omic pr<strong>of</strong>iles <strong>of</strong> the womenworkers such as size <strong>of</strong> the household, dependency ratio, landhold<strong>in</strong>gs,sources <strong>of</strong> <strong>in</strong>come and educati<strong>on</strong>. Details about <strong>in</strong>stituti<strong>on</strong>al affiliati<strong>on</strong>,hold<strong>in</strong>g <strong>of</strong> formal positi<strong>on</strong>s <strong>in</strong> traditi<strong>on</strong>al and n<strong>on</strong>-traditi<strong>on</strong>al <strong>in</strong>stituti<strong>on</strong>s,participati<strong>on</strong> <strong>in</strong> women development programmes etc., were also collectedfrom resp<strong>on</strong>dents to assess the ‘social capital’ <strong>of</strong> the women workers andits <strong>in</strong>fluence <strong>on</strong> participati<strong>on</strong>. Informati<strong>on</strong> regard<strong>in</strong>g participati<strong>on</strong> <strong>of</strong> thewomen resp<strong>on</strong>dents <strong>in</strong> MGNREGA (selecti<strong>on</strong> <strong>of</strong> works, works m<strong>on</strong>itor<strong>in</strong>g,social audit…), and benefits derived out <strong>of</strong> participati<strong>on</strong> (c<strong>on</strong>trol over wageearn<strong>in</strong>gs, expenditure pattern etc.,) was collected with a view to ascerta<strong>in</strong><strong>in</strong>gthe quality <strong>of</strong> change <strong>in</strong> women’s life.Village <strong>in</strong>formati<strong>on</strong> was collected to assess the socio-ec<strong>on</strong>omicc<strong>on</strong>diti<strong>on</strong>s <strong>of</strong> the village <strong>in</strong> which the study has been carried out. Data <strong>on</strong>the functi<strong>on</strong><strong>in</strong>g <strong>of</strong> CBOs, NGOs, social movements, implementati<strong>on</strong> <strong>of</strong> welfareand development schemes, status <strong>of</strong> women <strong>in</strong>clud<strong>in</strong>g barriers forparticipati<strong>on</strong> were elicited.Before- After and c<strong>on</strong>trol experimental design was adopted to isolatethe c<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> MGNREGA and <strong>in</strong>fluence <strong>of</strong> women functi<strong>on</strong>aries fromthe other factors. Progress reports <strong>of</strong> MoRD were used to assess theparticipati<strong>on</strong> <strong>of</strong> women phase-wise.The focused group discussi<strong>on</strong>s (FGDs) laid emphasis <strong>on</strong> the changesvisualised / experienced <strong>in</strong> the quality <strong>of</strong> life, decisi<strong>on</strong> mak<strong>in</strong>g at householdlevel by the women members and also facilitat<strong>in</strong>g/h<strong>in</strong>der<strong>in</strong>g factors fortheir participati<strong>on</strong> as well as their own assessment <strong>of</strong> NREGA’s c<strong>on</strong>tributi<strong>on</strong>to the family. To capture the reas<strong>on</strong>s for differences across the states, dataand scores <strong>of</strong> different <strong>in</strong>dicators were presented state-wise.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 21organisati<strong>on</strong>, will be federated at the higher level to become social serviceproviders, bus<strong>in</strong>ess entities and valued clients <strong>of</strong> the bank<strong>in</strong>g system.West BengalWest Bengal is a State <strong>in</strong> the eastern regi<strong>on</strong> <strong>of</strong> India and is thenati<strong>on</strong>’s fourth most populous. It is also the seventh most populous subnati<strong>on</strong>alentity <strong>in</strong> the world. West Bengal is the third largest c<strong>on</strong>tributor toIndia’s GDP. To its northeast lie the States <strong>of</strong> Assam and Sikkim and thecountry <strong>of</strong> Bhutan, and to its southwest lies the State <strong>of</strong> Odisha. To thewest, it borders the States <strong>of</strong> Jharkhand and Bihar, and to thenorthwest, Nepal. West Bengal occupies <strong>on</strong>ly 2.7 per cent <strong>of</strong> India’s landarea, though it supports over 7.8 per cent <strong>of</strong> Indian populati<strong>on</strong> and is themost densely populated State <strong>in</strong> India.The State has a total area <strong>of</strong> 88,752 square kilometers (34,267 sq mi).Forests make up 14 per cent <strong>of</strong> the geographical area <strong>of</strong> West Bengal.There are 19 districts <strong>in</strong> West Bengal.RS 97


22 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSAgriculture is the lead<strong>in</strong>g occupati<strong>on</strong> <strong>in</strong> West Bengal. Rice is theState’s pr<strong>in</strong>cipal food crop. Other food crops are pulses, oilseeds, wheat,tobacco, sugarcane and potatoes. Jute is the ma<strong>in</strong> cash crop <strong>of</strong> theregi<strong>on</strong>. Tea is also produced commercially.South 24 ParaganasSouth 24 Parganas district is an important district <strong>of</strong> WestBengal State with its district headquarters <strong>in</strong> Alipore. It has the urban fr<strong>in</strong>ge<strong>of</strong> Calcutta <strong>on</strong> <strong>on</strong>e side and the remote river<strong>in</strong>e villages <strong>in</strong> the Sundarbans.The district has a total area <strong>of</strong> 8165.05 sq km and a populati<strong>on</strong> <strong>of</strong> 6909015.The sex ratio <strong>of</strong> the district is 938 and has a density <strong>of</strong> 694. Agriculture,<strong>in</strong>dustry and pisciculture are all at their peak <strong>in</strong> the district. The districtcomprises five sub-divisi<strong>on</strong>s, 29 blocks and 312 GPs.KeralaKerala is a State <strong>in</strong> the south-western part <strong>of</strong> India. It was created<strong>on</strong> 1 November 1956, with the pass<strong>in</strong>g <strong>of</strong> the States Reorganisati<strong>on</strong>Act br<strong>in</strong>g<strong>in</strong>g together the areas where Malayalam was the dom<strong>in</strong>antlanguage. The State has an area <strong>of</strong> 38,863 km 2 and is bordered byKarnataka to the north, Tamil Nadu to the south and the east and the ArabianSea <strong>on</strong> the west. Major cities <strong>in</strong> Kerala are Thiruvananthapuram, Kochiand Kozhikode. Kerala is also known for its many small towns that arescattered across the State, thus creat<strong>in</strong>g a higher density <strong>of</strong> populati<strong>on</strong>.Kerala’s 14 districts, which serve as the adm<strong>in</strong>istrative regi<strong>on</strong>s fortaxati<strong>on</strong> purposes, are further sub-divided <strong>in</strong>to 63 taluks; these have fiscaland adm<strong>in</strong>istrative powers over settlements with<strong>in</strong> their borders, <strong>in</strong>clud<strong>in</strong>gma<strong>in</strong>tenance <strong>of</strong> local land records. Taluks <strong>of</strong> Kerala are further divided <strong>in</strong>to1453 revenue villages and 1007 Gram Panchayats.Kerala has a higher Human Development Index than all other states<strong>in</strong> India. The State has a literacy rate <strong>of</strong> 94.59 per cent, the highest <strong>in</strong>India. Its 9,400 km² <strong>of</strong> forests <strong>in</strong>clude tropical wet evergreen and semievergreenforests. Altogether, 24 per cent <strong>of</strong> Kerala is forested. The servicesector (<strong>in</strong>clud<strong>in</strong>g tourism, public adm<strong>in</strong>istrati<strong>on</strong>, bank<strong>in</strong>g and f<strong>in</strong>ance,RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 23transportati<strong>on</strong>, and communicati<strong>on</strong>s—63.8 per cent <strong>of</strong> GSDP <strong>in</strong> 2002–2003)and the agricultural and fish<strong>in</strong>g <strong>in</strong>dustries (together 17.2 per cent <strong>of</strong> GSDP)dom<strong>in</strong>ate the ec<strong>on</strong>omy.Thrissur :Thrissur previously known as Trichur is the headquarters <strong>of</strong> Thrissurdistrict. Thrissur is also known as the cultural capital <strong>of</strong> Kerala because <strong>of</strong>its cultural, spiritual and religious lean<strong>in</strong>gs towards history. The district hasa total area <strong>of</strong> 3032 sq km and is divided <strong>in</strong>to 17 blocks and 92 GPs. It hasa total populati<strong>on</strong> <strong>of</strong> 2975440 with density <strong>of</strong> 981 per sq km. The sex ratio<strong>of</strong> Thrissur is 1092 and it has literacy rate <strong>of</strong> 92.5 per cent. Apart frombe<strong>in</strong>g the cultural nerve centre <strong>of</strong> Kerala, it is also a major academic huband is home to several educati<strong>on</strong>al <strong>in</strong>stituti<strong>on</strong>s. Thrissur is also a home tomany lead<strong>in</strong>g entrepreneurs and is a major f<strong>in</strong>ancial and commercial centre.RS 97


24 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSAndhra PradeshAndhra Pradesh is a State situated <strong>on</strong> the south-eastern coast<strong>of</strong> India. It is India’s fourth largest State by area and fifth largest bypopulati<strong>on</strong>. It is bordered by Maharashtra, Chhattisgarh and Odisha <strong>in</strong> thenorth, the Bay <strong>of</strong> Bengal <strong>in</strong> the east, Tamil Nadu to the southand Karnataka to the west.The State has a total area <strong>of</strong> 275045 sq km and is divided <strong>in</strong>totwenty three districts. It has total populati<strong>on</strong> <strong>of</strong> 76210007, with a density<strong>of</strong> 277 per sq km. The State has a literacy rate <strong>of</strong> 72.5 per cent. AndhraPradesh ranks tenth compared to all Indian States <strong>in</strong> the Human DevelopmentIndex scores with a score <strong>of</strong> 0.416. Agriculture has been the chief source <strong>of</strong><strong>in</strong>come for the State’s ec<strong>on</strong>omy. Rice, sugarcane, cott<strong>on</strong>, chili pepper, mango,and tobacco are the local crops. Andhra Pradesh is historically called the“Rice Bowl <strong>of</strong> India”. More than 77 per cent <strong>of</strong> its crop is rice.MahaboobnagarMahaboobnagar is <strong>on</strong>e <strong>of</strong> the biggest districts <strong>in</strong> Andhra Pradesh. Itis located at a distance <strong>of</strong> 100 km from Hyderabad. The total area <strong>of</strong> theRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 25district is 18432 sq km. The district has a populati<strong>on</strong> <strong>of</strong> 3,513,934 <strong>of</strong> which<strong>on</strong>ly 10.57 per cent is urban and 89.4 per cent is rural as <strong>of</strong> 2001. Thepopulati<strong>on</strong> density is 167 per sq km and the sex ratio is 973. Mahaboobnagarhas an average literacy rate <strong>of</strong> 44 per cent. The major food crops grown arepaddy, jowar, ragi and other millets. The net area sown is 876700 ha and302700 ha comprise the total forest area. Most <strong>of</strong> the Mahaboobnagardistrict is drought-pr<strong>on</strong>e <strong>in</strong> nature and migrati<strong>on</strong> is a c<strong>on</strong>t<strong>in</strong>uous phenomen<strong>on</strong><strong>of</strong> the district.Performance <strong>of</strong> MGNREGS <strong>in</strong> the <str<strong>on</strong>g>Study</str<strong>on</strong>g> AreaPerformance <strong>of</strong> MGNREGS <strong>in</strong> sample States can be seen from thefollow<strong>in</strong>g Table <strong>in</strong> different parameters like number <strong>of</strong> districts covered <strong>in</strong>MGNREGS phase-wise, number <strong>of</strong> households with job cards, number <strong>of</strong>households demanded work, number <strong>of</strong> employment days generated, averagenumber <strong>of</strong> days <strong>of</strong> employment per household, share <strong>of</strong> women <strong>in</strong>employment, share <strong>of</strong> SC/ST <strong>in</strong> employment and fund utilisati<strong>on</strong>.It is observed that <strong>in</strong> Bihar State most <strong>of</strong> the districts (23) are phaseI districts, where better progress is expected. It is aga<strong>in</strong> <strong>in</strong> Bihar that thehighest number <strong>of</strong> households (124.04 lakh) with job cards are present. Butwhen it comes to the number <strong>of</strong> households demanded work, it is AndhraPradesh with highest number (61.58 lakh) <strong>of</strong> households seek<strong>in</strong>g work.Number <strong>of</strong> employment days generated and average number <strong>of</strong> days <strong>of</strong>employment per household both are high <strong>in</strong> Andhra Pradesh. Share <strong>of</strong> women<strong>in</strong> employment is highest for Kerala (88 per cent) and share <strong>of</strong> SC/ST <strong>in</strong>employment is highest <strong>in</strong> West Bengal with 51.2 per cent. Funds utilisedunder MGNREGS are highest <strong>in</strong> Andhra Pradesh. On all these key <strong>in</strong>dicators,Bihar is lagg<strong>in</strong>g.RS 97


26 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 2 : Performance <strong>of</strong> MGNREGA <strong>in</strong> Sample States (2009-10)S.No. Indicator Andhra Bihar Kerala WestPradeshBengal1 Number <strong>of</strong> Districts Covered2006-07 (phase-I) 13 23 2 102007-08 (phase-II) 6 15 2 72008-09 (phase-III) 3 0 10 22 Number <strong>of</strong> Households 117.23 124.04 25.99 103.52with Job Cards (<strong>in</strong> lakhs)3 Number <strong>of</strong> Households 61.58 41.27 9.57 34.89Demanded Works (<strong>in</strong> lakhs)4 Number <strong>of</strong> Employment 4044.3 1136.9 339.7 1551.7Days Generated (<strong>in</strong> lakhs)5 Average Number <strong>of</strong> Days <strong>of</strong> 66 28 36 45Employment per Household6 Share <strong>of</strong> <strong>Women</strong> <strong>in</strong> 58.10 30.04 88.19 33.42Employment (%)7 Share <strong>of</strong> SC & ST <strong>in</strong> 39.38 47.47 22.10 51.24Employment(%)8 Fund Utilisati<strong>on</strong> (<strong>in</strong> lakhs) 450918 181688 47151 210898RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 27Table 3 : Performance <strong>of</strong> MGNREGA <strong>in</strong> Sample Districts (2009-10)S.No. Indicator Mahaboobnagar Gaya Thrissur South 24Paraganas1 Number <strong>of</strong> Households 727480 425632 206022 759502with Job Cards2 Number <strong>of</strong> Households 384116 159129 63405 138467Demanded Works3 Number <strong>of</strong> Employment 238.9 22.32 22.43 40.22Days Generated (<strong>in</strong> lakhs)4 Average Number <strong>of</strong> Days <strong>of</strong> 62.19 14.03 35.45 29.04Employment per Household5 Share <strong>of</strong> <strong>Women</strong> <strong>in</strong> 59.8 34.99 95.90 10.79Employment (%)6 Share <strong>of</strong> SC & ST <strong>in</strong> 33.2 63.0 28.71 46.89Employment(%)7 Fund Utilisati<strong>on</strong> 28049 3787 3216 5247RS 97


28 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSCHAPTER - VEMPIRICAL RESULTSPr<strong>of</strong>iles <strong>of</strong> <strong>Women</strong> MGNREGS WorkersTowards develop<strong>in</strong>g a comprehensive understand<strong>in</strong>g <strong>of</strong> the issuesperta<strong>in</strong><strong>in</strong>g to participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGS, the socio-ec<strong>on</strong>omic anddemographic pr<strong>of</strong>iles <strong>of</strong> the resp<strong>on</strong>dents has been prepared. Socio-ec<strong>on</strong>omiccharacteristics <strong>of</strong> the workers are exam<strong>in</strong>ed <strong>in</strong> terms <strong>of</strong> caste, marital status,educati<strong>on</strong> and occupati<strong>on</strong> <strong>of</strong> the workers. The results are shown <strong>in</strong> Table5.1.AgeThe dom<strong>in</strong>ant age group is 36-45 years followed by 26-35 years.The former c<strong>on</strong>sisted <strong>of</strong> 35.0 per cent and the latter 30.8 per cent <strong>of</strong> theworkers. In other words, 65.8 per cent <strong>of</strong> the MGNREGS workers are <strong>in</strong> theactive age group <strong>of</strong> 26-45 years. A small proporti<strong>on</strong> <strong>of</strong> workers (5.8 percent) bel<strong>on</strong>g to the age group <strong>of</strong> above 56 years. Am<strong>on</strong>g the four sampledistricts <strong>of</strong> four States <strong>on</strong>ly Thrissur <strong>of</strong> Kerala has the highest participati<strong>on</strong><strong>of</strong> the aged (19 per cent), followed by Gaya <strong>of</strong> Bihar (3.8 per cent). Theparticipati<strong>on</strong> <strong>of</strong> women <strong>in</strong> the age group (25 years and below) is very highat 13.8 per cent <strong>in</strong> Gaya district <strong>of</strong> Bihar.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 29Table 5.1 : Age Distributi<strong>on</strong> <strong>of</strong> the Resp<strong>on</strong>dentsS.No. Age Andhra Bihar Kerala West Total(<strong>in</strong> years) Pradesh Bengal1. 25 and below 8 11 1 4 24(8.0) (13.8) (1.0) (4.0) (6.3)2. 26 – 35 28 33 14 42 117(28.0) (41.2) (14.0) (42.0) (30.8)3. 36 – 45 38 19 36 40 133(38.0) (23.8) (36.0) (40.0) (35.0)4. 46 – 55 26 14 30 14 84(26.0) (17.5) (30.0) (14.0)q (22.1)5. 56 – 65 - 3 17 - 20(3.8) (17.0) (5.3)6. Above 65 - - 2 - 2(2.0) (0.5)Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)RS 97


30 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSCasteScheduled Caste (SC) workers account for more than <strong>on</strong>e half (52.9per cent) <strong>of</strong> the total workers and the other three major caste groups OBC(17.9 per cent), M<strong>in</strong>orities (13.4 per cent, and OC (10.3 per cent) c<strong>on</strong>stitutednearly 40 per cent <strong>of</strong> the sample. It is dis-hearten<strong>in</strong>g to know that scheduledtribes are <strong>on</strong>ly 5.5 per cent <strong>in</strong> the sample. Am<strong>on</strong>g the four sample districts,participati<strong>on</strong> <strong>of</strong> m<strong>in</strong>orities is observed <strong>in</strong> the districts <strong>of</strong> two States i.e.Thrissur <strong>of</strong> Kerala and South 24 Paraganas <strong>of</strong> West Bengal. The proporti<strong>on</strong><strong>of</strong> SC workers is very high at 82.5 per cent <strong>in</strong> Gaya district <strong>of</strong> Bihar followedby Mahaboobnagar <strong>of</strong> Andhra Pradesh (59 per cent). The coverage <strong>of</strong> OCcommunity is high <strong>in</strong> South 24 Paraganas <strong>of</strong> West Bengal (18 per cent)followed by Thrissur <strong>of</strong> Kerala (15 per cent). Thus, the proporti<strong>on</strong> <strong>of</strong> weakersecti<strong>on</strong>s is the lowest <strong>in</strong> Thrissur <strong>of</strong> Kerala. Details are presented <strong>in</strong>Table 5.2.Educati<strong>on</strong>Though MGNREGS is associated with unskilled labour, educati<strong>on</strong>plays a significant role <strong>in</strong> awareness and participati<strong>on</strong> <strong>in</strong> the programme.Educati<strong>on</strong> is expected to have a positive impact <strong>on</strong> the participati<strong>on</strong> <strong>of</strong>RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 31women and details are presented <strong>in</strong> Table 5.2. Majority <strong>of</strong> the resp<strong>on</strong>dents,i.e., 56.3 per cent are n<strong>on</strong>-literates and 26.8 per cent completed theirprimary educati<strong>on</strong>. Only 7.4 per cent <strong>of</strong> the workers completed sec<strong>on</strong>daryeducati<strong>on</strong> while 9.5 per cent <strong>of</strong> the resp<strong>on</strong>dents have completed their ‘highschool and above’. There is a significant variati<strong>on</strong> across the sample districts<strong>in</strong> regard to educati<strong>on</strong>al levels <strong>of</strong> workers. A high proporti<strong>on</strong> <strong>of</strong> illiterateworkers are found <strong>in</strong> Gaya district <strong>of</strong> Bihar (93.8 per cent). Resp<strong>on</strong>dents <strong>in</strong>the category <strong>of</strong> ‘High school and above’ are found <strong>on</strong>ly <strong>in</strong> Thrissur <strong>of</strong> Kerala(36 per cent).Marital StatusMajority <strong>of</strong> the sample workers are married women (88.2 per cent).The proporti<strong>on</strong> <strong>of</strong> s<strong>in</strong>gle women (widows, divorcee and the deserted) is 9.8per cent. Am<strong>on</strong>g the districts, Thrissur has a significant proporti<strong>on</strong> (5 percent) <strong>of</strong> unmarried girls <strong>in</strong> the sample. With regard to the widows, 13 percent <strong>of</strong> them are from South 24 Paraganas <strong>of</strong> West Bengal and another 10per cent are from Thrissur <strong>of</strong> Kerala. For these s<strong>in</strong>gle women, participati<strong>on</strong><strong>in</strong> MGNREGS would be beneficial <strong>in</strong> reduc<strong>in</strong>g the livelihood <strong>in</strong>security. Detailsare presented <strong>in</strong> Table 5.2.RS 97


32 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSOccupati<strong>on</strong>It is important to know to which social and occupati<strong>on</strong>al groups theprogramme is reach<strong>in</strong>g. These details are shown <strong>in</strong> Table 5.2 and Fig.4. Itcan be observed that 88.7 per cent <strong>of</strong> the workers are labourers and 6.6per cent are cultivators. In Mahaboobnagar district <strong>of</strong> Andhra Pradesh,nearly 95 per cent <strong>of</strong> the resp<strong>on</strong>dents are agriculture labour and the other5 per cent are cultivators. In other districts, the percentage <strong>of</strong> bothagriculture labour and n<strong>on</strong>-agriculture labour are significant. The proporti<strong>on</strong><strong>of</strong> artisans, bus<strong>in</strong>ess people and resp<strong>on</strong>dents <strong>in</strong> service sector are negligible.Data show that even cultivators need this programme as an importantsource <strong>of</strong> livelihood. Details can be seen from Table 5.2.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 33Table 5.2 : Sex, Caste, Marital Status, Educati<strong>on</strong>and Occupati<strong>on</strong> Details <strong>of</strong> the Resp<strong>on</strong>dentsS.No. Particulars Andhra Bihar Kerala West TotalPradeshBengal(1) (2) (3) (4) (5) (6) (7)Caste1 SC 59 66 22 54 201(59.0) (82.5) (22.0) (54.0) (52.9)2 ST 5 4 1 11 21(5.0) (5.0) (1.0) (11.0) (5.5)3 OBC 36 4 25 3 68(36.0) (5.0) (25.0) (3.0) (17.9)4 M<strong>in</strong>orities - - 37 14 51(37.0) (14.0) (13.4)5 OC - 6 15 18 39(7.5) (15.0) (18.0) (10.3)Educati<strong>on</strong>Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)1 Illiterate 72 75 17 50 214(72.0) (93.8) (17.0) (50.0) (56.3)2 Primary 26 5 24 47 102(26.0) (6.2) (24.0) (47.0) (26.8)3 Sec<strong>on</strong>dary 2 - 23 3 28(2.0) (23.0) (3.0) (7.4)4 High school - - 36 - 36and above (36.0) (9.5)Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)(C<strong>on</strong>td.)RS 97


34 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSMarital Status1 Married 93 74 84 84 335(93.0) (92.5) (84.0) (84.0) (88.2)2 Unmarried - 2 5 1 8(2.5) (5.0) (1.0) (2.1)3 Widow 6 4 10 13 33(6.0) (5.0) (10.0) (13.0) (8.7)4 Divorcee - - - 1 1(1.0) (0.3)5 Deserted 1 - 1 1 3(1.0) (1.0) (1.0) (0.8)Occupati<strong>on</strong>Table 5.2 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6) (7)Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)1 Cultivator 5 9 7 4 25(5.0) (11.2) (7.0) (4.0) (6.6)2 Agriculture Labour 95 52 56 35 238(95.0) (65.0) (56.0) (35.0) (62.6)3 N<strong>on</strong>-Agri. Labour - 19 30 50 99(23.8) (30.0) (50.0) (26.1)4 Artisan - - 3 4 7(3.0) (4.0) (1.8)5 Bus<strong>in</strong>ess - - 1 3 4(1.0) (3.0) (1.1)6 Services - - 3 4 7(3.0) (4.0) (1.8)Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 35Ec<strong>on</strong>omic DependencyThe average size <strong>of</strong> the sample households ranged from 4.1 (Thrissur<strong>of</strong> Kerala) to 7.4 (Gaya <strong>of</strong> Bihar) and the overall average is 5.2. As aga<strong>in</strong>stthe average family size <strong>of</strong> 5.2, there are 2.6 earn<strong>in</strong>g members and 2.6dependents. In other words, each earner has to support <strong>on</strong>e dependant. Itis disturb<strong>in</strong>g to note that 5.2 per cent <strong>of</strong> the children are also participat<strong>in</strong>g<strong>in</strong> the labour market. This is very high if the proporti<strong>on</strong> is calculated for 9-14 age groups. The programme can be treated as a success if it can reducethe participati<strong>on</strong> <strong>of</strong> children <strong>in</strong> the labour market. It is significant to notethat most <strong>of</strong> the adult females, 76.6 per cent, are earners. Mahaboobnagardistrict <strong>of</strong> Andhra Pradesh has the highest proporti<strong>on</strong> <strong>of</strong> earners am<strong>on</strong>gadult females (88.5 per cent).Table 5.3 : Average Size <strong>of</strong> the Household andEarn<strong>in</strong>g Members <strong>in</strong> the HouseholdS.No. Particulars Andhra Bihar Kerala West TotalPradeshBengalI. Size <strong>of</strong> the HH1 Male 137 160 124 148 5692 Female 131 163 152 162 6083 Children 216 267 138 172 793Total 484 590 414 482 1970I. Average Size <strong>of</strong> 4.8 7.4 4.1 4.8 5.2the HHNo. <strong>of</strong> earn<strong>in</strong>g members <strong>in</strong> the HH1 Male 114 133 93 116 4562 Female 116 129 110 111 4663 Children 9 33 7 2 51Total 239 295 210 229 973II. Average Size <strong>of</strong> 2.4 3.7 2.1 2.3 2.6Earners / HHII. Ec<strong>on</strong>omic 1.2 1.4 1.1 1.3 1.2DependencyIII. Earn<strong>in</strong>g Females 88.5 79.1 72.4 68.5 76.6RS 97


36 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSLand Distributi<strong>on</strong>Landhold<strong>in</strong>g status is an important variable to ascerta<strong>in</strong> the ec<strong>on</strong>omicc<strong>on</strong>diti<strong>on</strong> <strong>of</strong> the resp<strong>on</strong>dents. It is evident that 54.5 per cent <strong>of</strong> theresp<strong>on</strong>dents were landless and another 27.6 per cent <strong>of</strong> the resp<strong>on</strong>dentsowned less than <strong>on</strong>e acre <strong>of</strong> land (sub-marg<strong>in</strong>al farmers). Marg<strong>in</strong>al farmersaccount for 13.9 per cent. The proporti<strong>on</strong> <strong>of</strong> the landless is highest at about83 per cent <strong>in</strong> Gaya district <strong>of</strong> Bihar and South 24 Paraganas <strong>of</strong> WestBengal. It is the lowest at 24 per cent <strong>in</strong> Thrissur district <strong>of</strong> Kerala. InMahaboobnagar district <strong>of</strong> Andhra Pradesh there are significant number <strong>of</strong>resp<strong>on</strong>dents (15 per cent), who owned land rang<strong>in</strong>g from five to ten acres.Land Ownership Status <strong>of</strong> <strong>Women</strong> WorkersLand ownership is an important source <strong>of</strong> women empowerment.Though the extent <strong>of</strong> land is small, it provides access to credit market andas well provides a sort <strong>of</strong> recogniti<strong>on</strong>. It is found that 11.3 per centresp<strong>on</strong>dents have either <strong>in</strong>dividual or jo<strong>in</strong>t ownership <strong>of</strong> the land. There aresignificant differences <strong>in</strong> female ownership <strong>of</strong> land across districts. South24 Paraganas <strong>of</strong> West Bengal stands at the bottom with <strong>on</strong>ly two per cent<strong>of</strong> the resp<strong>on</strong>dents own<strong>in</strong>g land <strong>in</strong>dividually or jo<strong>in</strong>tly. Thrissur district <strong>of</strong>RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 37Table 5.4 : Landhold<strong>in</strong>g Status <strong>of</strong> the Resp<strong>on</strong>dents (%)Category State TotalAndhra Bihar Kerala WestPradeshBengalLandless 33 67 24 83 207(33.0) (83.8) (24.0) (83.0) (54.5)1 or below 1 acre 8 10 71 16 105(8.0) (12.5) (71.0) (16.0) (27.6)1.01 - 2.5 acres 11 1 3 1 16(11.0) (1.2) (3.0) (1.0) (4.2)2.51 - 5.0 acres 33 2 2 - 37(33.0) (2.5) (2.0) (9.7)5.01 - 10.0 acres 15 - - - 15(15.0) (3.9)Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)Kerala stands at the other end with as many as 29 per cent <strong>of</strong> the femaleshav<strong>in</strong>g ownership <strong>of</strong> land. Gaya district <strong>of</strong> Bihar (10 per cent) andMahaboobnagar district <strong>of</strong> Andhra Pradesh (4 per cent) also have a lowproporti<strong>on</strong> <strong>of</strong> females with ownership land (Table 5.5).Table 5.5 : Land Ownership Status <strong>of</strong> the Resp<strong>on</strong>dents (%)StateTotalAndhra Bihar Kerala WestPradeshBengalLand <strong>in</strong> Resp<strong>on</strong>dents No 96 72 71 98 337name (96.0) (71.0) (98.0) (88.7) (90.0)Yes 4 8 29 2 43(4.0) (10.0) (29.0) (2.0) (11.3)Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)RS 97


38 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSAverage Annual Income <strong>of</strong> the HouseholdIncome <strong>of</strong> resp<strong>on</strong>dents is another critical variable which can <strong>in</strong>fluenceparticipati<strong>on</strong>. Annual <strong>in</strong>come <strong>of</strong> the sample households is computed show<strong>in</strong>gMGNREGS <strong>in</strong>come separately to ascerta<strong>in</strong> the c<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> the programmeto the total household <strong>in</strong>come. Average <strong>in</strong>come per household, which isfound to be ` 22,052 without MGNREGS, has risen to 27,000 after theirparticipati<strong>on</strong>, <strong>in</strong>dicat<strong>in</strong>g an <strong>in</strong>crease <strong>of</strong> 18.4 per cent. There is a significantchange <strong>in</strong> the distributi<strong>on</strong> <strong>of</strong> <strong>in</strong>come. About 10.3 per cent <strong>of</strong> the householdsare <strong>in</strong> the lowest <strong>in</strong>come group <strong>of</strong> less than ` 8000 without MGNREGS andwhen MGNREGS <strong>in</strong>come is added, the percentage <strong>in</strong> this group has comedown to 3.2. Similarly, the percentage <strong>of</strong> households <strong>in</strong> the highest <strong>in</strong>comegroup <strong>of</strong> more than ` 32,000 per annum has <strong>in</strong>creased from 16.3 to 20.5with MGNREGS <strong>in</strong>come.When the average family annual <strong>in</strong>come is computed by <strong>in</strong>comefrom MGNREGS as well as other sources, Gaya district <strong>of</strong> Bihar is at thebottom with an average <strong>in</strong>come <strong>of</strong> ` 14400 per household. Thrissur district<strong>of</strong> Kerala has highest <strong>in</strong>come <strong>of</strong> `40,800. South 24 Paraganas,Mahaboobnagar districts have average <strong>in</strong>comes <strong>of</strong> ` 26,830 and ` 23,610,respectively (see Fig.7).RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 39With regard to average wage earn<strong>in</strong>gs from MGNREGS al<strong>on</strong>e, itranged from ` 1310 to ` 10057 hav<strong>in</strong>g the average <strong>in</strong>come <strong>of</strong> ` 5100.Maximum <strong>in</strong>come out <strong>of</strong> MGNREGS is seen <strong>in</strong> Mahaboobnagar district <strong>of</strong>Andhra Pradesh (` 10057) and m<strong>in</strong>imum observed was <strong>in</strong> South 24 Paraganasdistrict <strong>of</strong> West Bengal (` 1310). As per the <strong>in</strong>come from MGNREGS al<strong>on</strong>e,<strong>in</strong> South 24 Paraganas district <strong>of</strong> West Bengal and Gaya district <strong>of</strong> Biharalmost all the resp<strong>on</strong>dents are <strong>in</strong> the category <strong>of</strong> up to ` 8000. In Thrissurdistrict <strong>of</strong> Kerala and Mahaboobnagar district <strong>of</strong> Andhra Pradesh, 39 and57 per cent <strong>of</strong> resp<strong>on</strong>dents, respectively are <strong>in</strong> the <strong>in</strong>come category <strong>of</strong>` 8000 to ` 16000. In Mahaboobnagar district <strong>of</strong> Andhra Pradesh, n<strong>in</strong>e percent <strong>of</strong> the resp<strong>on</strong>dents are <strong>in</strong> the household <strong>in</strong>come bracket <strong>of</strong> ` 16001-24000.The pattern is different when <strong>in</strong>come <strong>of</strong> the household is assessedfrom other sources. The average <strong>in</strong>come earned from other sources is `21943 rang<strong>in</strong>g from ` 34420 (Thrissur district <strong>of</strong> Kerala) to ` 12361 (Gayadistrict <strong>of</strong> Bihar). Income from other sources is high both <strong>in</strong> Thrissur district<strong>of</strong> Kerala and South 24 Paraganas district <strong>of</strong> West Bengal. It is hearten<strong>in</strong>gto see that 38 per cent <strong>of</strong> the resp<strong>on</strong>dents <strong>of</strong> Thrissur district <strong>of</strong> Kerala and24 per cent <strong>of</strong> the resp<strong>on</strong>dents <strong>of</strong> South 24 Paraganas district <strong>of</strong> WestBengal earned <strong>in</strong>comes <strong>in</strong> the category <strong>of</strong> above ` 32000 from sourcesother than MGNREGS.Average Annual Income <strong>of</strong> the Resp<strong>on</strong>dentAverage annual <strong>in</strong>come <strong>of</strong> the resp<strong>on</strong>dents al<strong>on</strong>e <strong>in</strong> the householdis also computed tak<strong>in</strong>g the <strong>in</strong>come from MGNREGS and <strong>in</strong>come from othersources. It is observed that the average <strong>in</strong>come from sources other thanMGNREGS is ` 3096 rang<strong>in</strong>g from ` 1428 (Thrissur district <strong>of</strong> Kerala) to` 4490 (South 24 Paraganas district <strong>of</strong> West Bengal). However, average<strong>in</strong>come earned by the resp<strong>on</strong>dents from MGNREGS is high <strong>in</strong> Thrissur districtwith ` 6334 while the MGNREGS <strong>in</strong>come is lower at Gaya and South 24Paraganas ` 1108 and ` 1147, respectively. It is clear that <strong>in</strong> Kerala <strong>in</strong>comefrom MGNREGS is high and <strong>on</strong> the c<strong>on</strong>trary for sample resp<strong>on</strong>dents <strong>in</strong> WestBengal <strong>in</strong>come from other sources is high for women.RS 97


40 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.6 : Distributi<strong>on</strong> <strong>of</strong> Sample Resp<strong>on</strong>dents Accord<strong>in</strong>g to IncomeLevels and Average Family Annual Income(%)a) MGNREGS + Other Sources (`)S.No. Income Andhra Bihar Kerala West TotalRange (`) Pradesh Bengal1 Up to 8000 - 5 4 3 12(6.2) (4.0) (3.0) (3.2)2 8001-16000 13 51 24 14 102(13.0) (63.8) (24.0) (14.0) (26.8)3 16001-24000 19 22 12 23 76(19.0) (27.5) (12.0) (23.0) (20.0)4 24001-32000 67 2 9 34 112(67.0) (2.5) (9.0) (34.0) (29.5)5 Above 32000 1 - 51 26 78(1.0) (51.0) (26.0) (20.5)Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)Average Income 23610 14400 40800 26830 27000per HH (`)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 41b) Income earned from MGNREGS by the family (`)(%)S.No. Income Andhra Bihar Kerala West TotalRange (`) Pradesh Bengal1 Up to 8000 34 77 61 100 272(34.0) (96.2) (61.0) (100.0) (71.6)2 8001-16000 57 3 39 - 99(57.0) (3.8) (39.0) (26.1)3 16001-24000 9 - - - 9(9.0) (2.4)Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)Average Income 10057 2011 6404 1405 5125per HH (`)c) Income earned from Other Sources by the family (`)S.No. Income Andhra Bihar Kerala West TotalRange (`) Pradesh Bengal1 Up to 8000 8 12 19 3 42(8.0) (15.0) (19.0) (3.0) (11.1)2 8001-16000 68 51 16 18 153(68.0) (63.8) (16.0) (18.0) (40.3)3 16001-24000 23 17 13 23 76(23.0) (21.2) (13.0) (23.0) (20.0)4 24001-32000 1 - 14 32 47(1.0) (14.0) (32.0) (12.4)5 Above 32000 - - 38 24 62(38.0) (24.0) (16.3)Total 100(100.0)80(100.0)100(100.0)100(100.0)380(100.0)Average Incomeper HH (`)13553 12361 34420 25425 21918(%)RS 97


42 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSd) Income earned from MGNREGS by Self (`)(%)S.No. Income Andhra Bihar Kerala West TotalRange (`) Pradesh Bengal1 Up to 8000 98 80 62 100 340(98.0) (100.0) (62.0) (100.0) (89.5)2 8001-16000 2 - 38 - 40(2.0) (38.0) (10.5)Total 100 80 100 100 380(100.0) (100.0) (100.0) (100.0) (100.0)Average Income 5462 1108 6334 725 3528per HH (`)e) Income earned by Self from other sources (`)S.No. Income Andhra Bihar Kerala West TotalRange (`) Pradesh Bengal1 Up to 8000 94 75 94 81 344(94.0) (93.8) (94.0) (81.0) (90.5)2 8001-16000 3 2 3 15 23(3.0) (2.5) (3.0) (6.1) (15.0)3 16001-24000 2 3 2 2 9(2.0) (3.8) (2.0) (2.0) (2.4)4 24001-32000 1 - - 1 2(1.0) (1.0) (0.5)5 Above 32000 - - 1 1 2(1.0) (1.0) (0.5)Total 100(100.0)80(100.0)100(100.0)100(100.0)380(100.0)Average Incomeper HH (`)2950 3621 1428 4490 3096Socio-ec<strong>on</strong>omc Status ScoreSocio-ec<strong>on</strong>omic status (SES) is a good measure <strong>of</strong> development. Ina society stratified <strong>on</strong> the l<strong>in</strong>es <strong>of</strong> caste, the SES should capture thesedisadvantages as well. It has been used as a prime composite <strong>in</strong>dex <strong>in</strong>(%)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 43social studies. People <strong>of</strong> lower socio-ec<strong>on</strong>omic status are likely to havelower quality <strong>of</strong> life and higher vulnerability. The socio-ec<strong>on</strong>omic status hasbeen shown to be significantly, c<strong>on</strong>sistently, and universally correlated witha variety <strong>of</strong> measures <strong>of</strong> lifestyles, opportunities and threats, networks andassociati<strong>on</strong>s, awareness and participati<strong>on</strong> and thereby, changes <strong>in</strong> powerrelati<strong>on</strong>ships . The data <strong>on</strong> socio- ec<strong>on</strong>omic pr<strong>of</strong>ile <strong>of</strong> the sample workerswere reduced to the SES scores based <strong>on</strong> seven factors (caste, age,educati<strong>on</strong>, occupati<strong>on</strong>, size <strong>of</strong> landhold<strong>in</strong>g, annual <strong>in</strong>come and ec<strong>on</strong>omicdependency). Technical note giv<strong>in</strong>g details is attached (annexure-I). TheSES scores ranged from 39 (Gaya district <strong>of</strong> Bihar) to 58.3 (Thrissur district<strong>of</strong> Kerala) percentage po<strong>in</strong>ts with an average score <strong>of</strong> 50.4 and the detailsare presented <strong>in</strong> Fig.8.Membership <strong>in</strong> the Village Development Organisati<strong>on</strong>sDetails about the <strong>in</strong>stituti<strong>on</strong>al affiliati<strong>on</strong>, occupati<strong>on</strong> <strong>of</strong> formalpositi<strong>on</strong>s <strong>in</strong> the traditi<strong>on</strong>al and the n<strong>on</strong>-traditi<strong>on</strong>al <strong>in</strong>stituti<strong>on</strong>s (Self-HelpGroups, Gram Panchayat, Watershed Committee, Village DevelopmentCommittee, Cooperative, Caste Associati<strong>on</strong>) have been anlysed to assessthe factors motivat<strong>in</strong>g participati<strong>on</strong> <strong>of</strong> the resp<strong>on</strong>dents not <strong>on</strong>ly <strong>in</strong> villagedevelopment organisati<strong>on</strong>s but also <strong>in</strong> MGNREGS. It was observed thatRS 97


44 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSalmost all the resp<strong>on</strong>dents are members <strong>of</strong> SHGs except <strong>in</strong> South 24Paraganas district <strong>of</strong> West Bengal. On an average, 83.3 per cent resp<strong>on</strong>dentsare members <strong>in</strong> SHGs and another 6.8 per cent are members <strong>of</strong> GramPanchayat and 4.7 per cent are members <strong>in</strong> watershed. There are <strong>in</strong>terdistrictvariati<strong>on</strong>s where, <strong>in</strong> Mahaboobnagar district <strong>of</strong> Andhra Pradesh andGaya district <strong>of</strong> Bihar cent per cent resp<strong>on</strong>dents are members <strong>of</strong> SHGs. Itis because <strong>of</strong> the state specific programmes <strong>of</strong> Indira Kranthi Patham <strong>in</strong>Andhra Pradesh and JEEViKA <strong>in</strong> Gaya district <strong>of</strong> Bihar. When the status <strong>of</strong>hold<strong>in</strong>g formal positi<strong>on</strong>s <strong>in</strong> the village development organisati<strong>on</strong>s wasanalysed, <strong>on</strong>ly 18.9 per cent <strong>of</strong> the resp<strong>on</strong>dents were hold<strong>in</strong>g some or theother positi<strong>on</strong>s <strong>in</strong> the VDOs. Most <strong>of</strong> these members held the positi<strong>on</strong>s <strong>of</strong>SHG presidents, secretaries, treasurers and CDC members. Hold<strong>in</strong>g formalpositi<strong>on</strong>s <strong>in</strong> VDOs <strong>in</strong>dicates active participati<strong>on</strong> <strong>of</strong> the resp<strong>on</strong>dents. On thewhole, the membership <strong>in</strong> village <strong>in</strong>stituti<strong>on</strong>s is high am<strong>on</strong>g the sampleresp<strong>on</strong>dents.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 45Table 5.7 : Status <strong>of</strong> Resp<strong>on</strong>dents’ Membership <strong>in</strong> VillageDevelopment Organisati<strong>on</strong>s (Multiple Resp<strong>on</strong>ses)(%)Instituti<strong>on</strong> / VDO Andhra Bihar Kerala West TotalPradeshBengalSHG 100.0 100.0 85.0 48.0 83.3GP 3.0 8.0 12.0 4.0 6.8Watershed 5.0 4.0 5.0 4.7Others 1.0 1.0 1.0SHGs and Their RoleBased <strong>on</strong> the c<strong>on</strong>cept <strong>of</strong> “self-help,” small groups <strong>of</strong> women haveformed <strong>in</strong>to groups <strong>of</strong> ten to twenty and operate a sav<strong>in</strong>gs-first bus<strong>in</strong>essmodel whereby the member’s sav<strong>in</strong>gs are used to fund loans. The resultsfrom these self-help groups (SHGs) are promis<strong>in</strong>g and have become a focus<strong>of</strong> <strong>in</strong>tense exam<strong>in</strong>ati<strong>on</strong> as it is prov<strong>in</strong>g to be an effective method <strong>of</strong> povertyreducti<strong>on</strong>. By the 1990s, SHGs were viewed by state governments andNGOs to be more than just a f<strong>in</strong>ancial <strong>in</strong>termediati<strong>on</strong> but as a comm<strong>on</strong><strong>in</strong>terest group, work<strong>in</strong>g <strong>on</strong> other c<strong>on</strong>cerns as well. The agenda <strong>of</strong> SHGs<strong>in</strong>cluded social and political issues as well. In the present study we aretry<strong>in</strong>g to analyse the <strong>in</strong>fluence <strong>of</strong> social capital through SHGs to women’sparticipati<strong>on</strong> <strong>in</strong> MGNREGS.Membership <strong>in</strong> SHGsSHGs are not merely sav<strong>in</strong>gs and lend<strong>in</strong>g groups. Access to creditprimarily enables women to <strong>in</strong>crease their household <strong>in</strong>comes but the muchbroader objective <strong>of</strong> organis<strong>in</strong>g women <strong>in</strong>to groups is also to br<strong>in</strong>g aboutawareness <strong>on</strong> social issues. It also serves as an entry po<strong>in</strong>t for play<strong>in</strong>g anactive role <strong>in</strong> society by address<strong>in</strong>g broader social issues. The broaderobjective <strong>of</strong> <strong>in</strong>creased awareness and active participati<strong>on</strong> <strong>of</strong> the members<strong>in</strong> the social sphere is analysed <strong>in</strong> the study by exam<strong>in</strong><strong>in</strong>g at the levels <strong>of</strong>awareness as well as actual participati<strong>on</strong> <strong>of</strong> members.RS 97


46 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSIn Mahaboobnagar district <strong>of</strong> Andhra Pradesh and Gaya district <strong>of</strong>Bihar cent per cent resp<strong>on</strong>dents are members <strong>in</strong> SHGs. In Thrissur district<strong>of</strong> Kerala, 85 per cent resp<strong>on</strong>dents are members <strong>of</strong> SHGs and the least is<strong>in</strong> South 24 Paraganas district <strong>of</strong> West Bengal, where <strong>on</strong>ly 48 per cent <strong>of</strong>the resp<strong>on</strong>dents are members <strong>in</strong> SHGs. Details can be seen from TableNo.5.8.Table 5.8 : Status <strong>of</strong> Resp<strong>on</strong>dents’ Membership <strong>in</strong> SHGs (%)Member <strong>of</strong> SHG State TotalAndhra Bihar Kerala WestPradeshBengalNo - - 15.0 52.0 17.6Yes 100.0 100.0 85.0 48.0 82.4To understand the impact <strong>of</strong> the SHGs <strong>on</strong> social capital and thereby<strong>on</strong> quality <strong>of</strong> participati<strong>on</strong>, it is important to know the durati<strong>on</strong> <strong>of</strong> membership<strong>in</strong> SHGs. So, an effort was made to collect <strong>in</strong>formati<strong>on</strong> <strong>on</strong> membershipdetails and it was found that majority (24.0 per cent) have jo<strong>in</strong>ed <strong>in</strong> theSHGs dur<strong>in</strong>g the last three years and another 21.1 per cent 4 to 5 yearsago. Only 17.3 per cent resp<strong>on</strong>dents are members <strong>in</strong> SHGs s<strong>in</strong>ce <strong>on</strong>e year.It is hearten<strong>in</strong>g to know that 15.5 per cent resp<strong>on</strong>dents are members <strong>in</strong>SHGs from 6-10 years and another four per cent resp<strong>on</strong>dents are from 10-15 years. It is assumed that the l<strong>on</strong>ger the years <strong>of</strong> membership greaterwould be the levels <strong>of</strong> awareness and participati<strong>on</strong>. Details <strong>of</strong> the year <strong>of</strong>entry <strong>of</strong> the resp<strong>on</strong>dents <strong>in</strong> SHGs are given <strong>in</strong> Table 5.9.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 47Table 5.9 : Period <strong>of</strong> Membership <strong>of</strong> Resp<strong>on</strong>dents <strong>in</strong> SHGs (%)Period State TotalAndhra Bihar Kerala WestPradeshBengalNA 15.2 54.2 17.91 and below 3.0 62.5 6.1 6.3 17.31-3 years 24.0 35.0 15.2 24.0 24.04-5 years 50.0 2.5 16.2 11.5 21.16-10 years 19.0 35.4 4.2 15.510-15 years 3.0 12.1 4.0Above 15 years 1.0 0.3Total 100.0 100.0 100.0 100.0 100.0NA : Not ApplicableGrad<strong>in</strong>g <strong>of</strong> SHGs is taken up periodically to assess the strength andperformance <strong>of</strong> the groups. Grad<strong>in</strong>g <strong>of</strong> groups serves a useful purpose not<strong>on</strong>ly for establish<strong>in</strong>g credit l<strong>in</strong>kages with banks but more importantly tounderstand the strengths and effectiveness <strong>of</strong> the groups. This would help<strong>in</strong> identify<strong>in</strong>g tra<strong>in</strong><strong>in</strong>g needs and plan capacity build<strong>in</strong>g programmes. Whenan attempt was made to f<strong>in</strong>d out to which grade the groups <strong>in</strong> the studyarea bel<strong>on</strong>g, it was found that majority (36.3 per cent) bel<strong>on</strong>ged to gradeI and another 33.2 per cent bel<strong>on</strong>ged to grade II. About 30.5 per centresp<strong>on</strong>dents did not know what is grad<strong>in</strong>g and whether their groups aregraded or not. Details can be seen from Table 5.10.RS 97


48 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.10 : Reported Status <strong>of</strong> SHGs Accord<strong>in</strong>g to Resp<strong>on</strong>dents (%)Grade <strong>of</strong> SHG State TotalAndhra Bihar Kerala WestPradeshBengalNot graded & not aware 7.0 5.0 31.0 74.0 30.5Grade-I 32.0 76.2 29.0 16.0 36.3Grade-II 61.0 18.8 40.0 10.0 33.2Total 100.0 100.0 100.0 100.0 100.0Loans Availed <strong>of</strong> by the Resp<strong>on</strong>dentsIn the present study an attempt is made to analyse details <strong>of</strong> loanstaken through the SHG. The focus is <strong>on</strong> whether any loan was taken and ifso what the amount was. These details help us to understand the exist<strong>in</strong>gpractices <strong>of</strong> that regi<strong>on</strong> and <strong>in</strong> what way SHG movement helped theresp<strong>on</strong>dents to come out <strong>of</strong> the clutches <strong>of</strong> poverty. From Table 5.11 it isobserved that 42.1 per cent resp<strong>on</strong>dents could not take loan even for <strong>on</strong>etime; 33.2 per cent resp<strong>on</strong>dents could take loan for 1 to 2 times and another16.6 per cent could avail <strong>of</strong> the loan facility 3 to 4 times, 7.9 per centresp<strong>on</strong>dents could even avail <strong>of</strong> loan for 5 to 6 times and another 0.3 percent could get more than six times. So, membership <strong>in</strong> SHG could providethem better opportunities to avail <strong>of</strong> the loan.SHGs and Federati<strong>on</strong>sBy and large, the SHG will be an <strong>in</strong>formal group. The SHGs can befurther strengthened and stabilised by federat<strong>in</strong>g at say village or cluster<strong>of</strong> villages or block or district level depend<strong>in</strong>g up<strong>on</strong> the number <strong>of</strong> self-helpgroups and their spatial distributi<strong>on</strong>, <strong>on</strong>ce SHGs have reached the stage <strong>of</strong>maturity and have stabilised. This would facilitate regular <strong>in</strong>teracti<strong>on</strong>, pool<strong>in</strong>g<strong>of</strong> surplus with the groups, exchange <strong>of</strong> experiences <strong>in</strong>clud<strong>in</strong>g flow <strong>of</strong>RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 49Table 5.11 : Number <strong>of</strong> Times Resp<strong>on</strong>dents Availed <strong>of</strong> Loan (%)Number <strong>of</strong> times State Totalavailed <strong>of</strong> loansAndhra Bihar Kerala WestPradeshBengalNot even <strong>on</strong>ce 3.0 51.3 35.0 81.0 42.11 - 2 times 35.0 48.8 40.0 12.0 33.23 - 4 times 41.0 16.0 6.0 16.65 - 6 times 20.0 9.0 1.0 7.9Above 6 times 1.0 0.3Total 100.0 100.0 100.0 100.0 100.0<strong>in</strong>formati<strong>on</strong> from DRDAs, other departments and NGOs, (bulk) access tocredit from various micro-f<strong>in</strong>ance <strong>in</strong>stituti<strong>on</strong>s and help them to plan forec<strong>on</strong>omic activities with desired backward and forward l<strong>in</strong>kages <strong>in</strong>clud<strong>in</strong>gmarket<strong>in</strong>g <strong>of</strong> their products etc. All these will get reflected even <strong>in</strong> thequalitative participati<strong>on</strong>. An effort is also made <strong>in</strong> the present study toknow how many <strong>of</strong> the resp<strong>on</strong>dents are members <strong>of</strong> the federati<strong>on</strong>. It canbe observed from Table 5.12 that 57.9 per cent resp<strong>on</strong>dents are members<strong>of</strong> the federati<strong>on</strong>. There are <strong>in</strong>ter-district variati<strong>on</strong>s and it is found that <strong>in</strong>Gaya district <strong>of</strong> Bihar, almost 92.5 per cent <strong>of</strong> the resp<strong>on</strong>dents are members<strong>of</strong> federati<strong>on</strong>. In Thrissur district <strong>of</strong> Kerala (75 per cent) and Mahaboobnagardistrict <strong>of</strong> Andhra Pradesh (69 per cent) also significant per cent <strong>of</strong> theresp<strong>on</strong>dents are members <strong>of</strong> federati<strong>on</strong>. But when it comes to the South 24Paraganas district <strong>of</strong> West Bengal, <strong>on</strong>ly two per cent resp<strong>on</strong>dents are themembers <strong>of</strong> federati<strong>on</strong>. It is ma<strong>in</strong>ly because <strong>of</strong> the State-specific womenempowerment programmes <strong>of</strong> Indira Kranthi Patham <strong>in</strong> Andhra Pradesh andJEEViKA <strong>in</strong> Bihar and Kudumbasree <strong>in</strong> Kerala. Instituti<strong>on</strong>alisati<strong>on</strong> <strong>of</strong> SHGsand build<strong>in</strong>g them <strong>in</strong>to federati<strong>on</strong>s is <strong>on</strong>e <strong>of</strong> the features <strong>of</strong> theseprogrammes and it had its impact <strong>on</strong> the resp<strong>on</strong>dents too. Such programmeRS 97


50 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSis not taken up <strong>in</strong> West Bengal and so many <strong>of</strong> the resp<strong>on</strong>dents are notmembers <strong>in</strong> federati<strong>on</strong>s. Thus, comparisi<strong>on</strong> <strong>of</strong> the women resp<strong>on</strong>dents’participati<strong>on</strong> <strong>in</strong> the former three districts with West Bengal (treat<strong>in</strong>g it asc<strong>on</strong>trol group) could del<strong>in</strong>eate the c<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> SHG, to the phenomen<strong>on</strong>under study, ceteris paribus.Table 5.12 : Resp<strong>on</strong>dents’ Membership <strong>in</strong> Any Federati<strong>on</strong> (%)Membership <strong>in</strong> Federati<strong>on</strong> State TotalAndhra Bihar Kerala WestPradeshBengalNo 31.0 7.5 25.0 98.0 42.1Yes 69.0 92.5 75.0 2.0 57.9Social CapitalThe c<strong>on</strong>cept <strong>of</strong> social capital is currently receiv<strong>in</strong>g a lot <strong>of</strong> attenti<strong>on</strong>from development agencies and research <strong>in</strong>stituti<strong>on</strong>s. Many def<strong>in</strong>e whatsocial capital is and what it does. In fact, it is widely agreed that socialcapital facilitates mutually beneficial collective acti<strong>on</strong>. Social capital refersto features <strong>of</strong> social organisati<strong>on</strong>, such as trust, norms [or reciprocity], andnetworks [<strong>of</strong> civil engagement], that can improve the efficiency <strong>of</strong> societyby facilitat<strong>in</strong>g coord<strong>in</strong>ated acti<strong>on</strong>s [(Putnam, Le<strong>on</strong>ardi and Nanetti (1993)].Social capital is a c<strong>on</strong>cept that has significant implicati<strong>on</strong>s forenhanc<strong>in</strong>g the quality, effectiveness and susta<strong>in</strong>ability <strong>of</strong> rural developmentprogrammes. Social capital would facilitate cooperati<strong>on</strong> and mutuallysupportive relati<strong>on</strong>s <strong>in</strong> communities and would therefore, be a valuablemeans <strong>of</strong> combat<strong>in</strong>g many <strong>of</strong> the social problems <strong>in</strong>herent <strong>in</strong> the societies.Social capital measures the relati<strong>on</strong>ship <strong>of</strong> people with<strong>in</strong> a community andtheir l<strong>in</strong>k to the networks.One can def<strong>in</strong>itely see the SHGs emerg<strong>in</strong>g as a valuable socialcapital if given the right directi<strong>on</strong> and facilitati<strong>on</strong> by the Self-Help Promot<strong>in</strong>gRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 51Instituti<strong>on</strong>s. The collective spirit <strong>of</strong> the groups is very much evident <strong>in</strong> mostcases and there are already encourag<strong>in</strong>g signs <strong>of</strong> members help<strong>in</strong>g eachother both <strong>in</strong> pers<strong>on</strong>al and social aspects. Individual members are alsoga<strong>in</strong><strong>in</strong>g more c<strong>on</strong>fidence and some <strong>of</strong> them have also discovered theirleadership potential. This has to be further nurtured and the role andparticipati<strong>on</strong> <strong>of</strong> women <strong>in</strong> the public sphere has to be further strengthened.In the present study an attempt was made to assess the socialcapital <strong>of</strong> the resp<strong>on</strong>dents by seek<strong>in</strong>g resp<strong>on</strong>ses to a few questi<strong>on</strong>s relat<strong>in</strong>gto their participati<strong>on</strong>, collective acti<strong>on</strong> and mutually supportive relati<strong>on</strong>s.Informati<strong>on</strong> was elicited <strong>on</strong> data like participati<strong>on</strong> <strong>in</strong> SHG meet<strong>in</strong>gs, GramSabhas, VDC meet<strong>in</strong>gs, participati<strong>on</strong> <strong>in</strong> village developmental activities,membership <strong>in</strong> CBOs (educati<strong>on</strong> committees, watershed associati<strong>on</strong>s /groups, VSS etc.), tackl<strong>in</strong>g social issues (alcoholism, dowry etc.), tak<strong>in</strong>g upgroup <strong>in</strong>come generat<strong>in</strong>g activities, and help<strong>in</strong>g other members <strong>of</strong> the SHGsand federati<strong>on</strong>s etc. and overall (b<strong>in</strong>ary) scor<strong>in</strong>g was also given to theabove parameters to assess (overall) the social capital. Details are presented<strong>in</strong> Table 5.13.Table 5.13 : Social Capital and SHG(%)S.No. Particulars Andhra Bihar Kerala West TotalPradeshBengal1 SHG meet<strong>in</strong>gs 97.0 98.8 86.0 50.0 82.12 Gram Sabha / 88.0 80.0 84.0 39.0 72.4VDC meet<strong>in</strong>gs3 Village developmental 66.0 92.5 22.0 21.0 48.2activities4 CBOs (educati<strong>on</strong>, 19.0 22.5 12.0 8.0 15.0watershed, VSS, etc.)(C<strong>on</strong>td.)RS 97


52 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.13 : (C<strong>on</strong>td.)5 Tackl<strong>in</strong>g social issues 43.0 70.0 12.0 20.0 34.5(alcoholism, dowry, etc.)6 Whether taken up 70.0 16.2 32.0 11.0 33.2any group IGP7 Help<strong>in</strong>g other 99.0 91.2 69.0 31.0 71.6members <strong>of</strong> your groupScore 68.9 67.3 45.3 25.7 51.0From the above Table it is clear that social capital is the lowest <strong>in</strong>the South 24 Paraganas district <strong>of</strong> West Bengal with 25.7 percentage po<strong>in</strong>ts.The score is the lowest <strong>in</strong> all the above menti<strong>on</strong>ed parameters which weretaken <strong>in</strong>to account to measure social capital. Overall attendance <strong>in</strong> the SHGmeet<strong>in</strong>gs, VDC meet<strong>in</strong>gs and gram sabhas is high <strong>in</strong> all the three districtsexcept South 24 Paraganas district. Tak<strong>in</strong>g part <strong>in</strong> village developmentactivities is high <strong>in</strong> Gaya district, which aga<strong>in</strong> can be attributed to theefforts <strong>of</strong> JEEViKA. ‘Tackl<strong>in</strong>g the social issues’ is <strong>on</strong>e <strong>of</strong> the areas with lowscores <strong>in</strong> all the sample districts and is the least <strong>in</strong> Thrissur district. Only<strong>in</strong> Mahaboobnagar district <strong>of</strong> Andhra Pradesh and Thrissur district <strong>of</strong> Keralasome sort <strong>of</strong> group activity regard<strong>in</strong>g <strong>in</strong>come generati<strong>on</strong> have been takenup. Group cohesiveness <strong>in</strong> regard to help<strong>in</strong>g the other group members <strong>in</strong>need is high <strong>in</strong> all the sample districts except South 24 Paraganas district.From these data, <strong>on</strong>e can del<strong>in</strong>eate the c<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> SHGs and also theengagement <strong>of</strong> the resp<strong>on</strong>dents <strong>in</strong> various social and ec<strong>on</strong>omic activitieslargely <strong>in</strong>fluenced by membership <strong>in</strong> SHGs.An attempt was made to score the above parameters to give overallscor<strong>in</strong>g <strong>of</strong> social capital. The score ranged from 0 to 7 po<strong>in</strong>ts (Technicalnote appended). The average social capital is 51 percentage po<strong>in</strong>ts rang<strong>in</strong>gfrom 25.7 (South 24 Paraganas district <strong>of</strong> West Bengal) to 68.9(Mahaboobnagar district <strong>of</strong> Andhra Pradesh) percentage po<strong>in</strong>ts. Details arepresented <strong>in</strong> Fig.10.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 53Beneficiaries <strong>of</strong> Rural Development ProgrammesThe participati<strong>on</strong> <strong>of</strong> the resp<strong>on</strong>dents as beneficiaries <strong>of</strong> various ruraldevelopment programmes other than MGNREGS had been exam<strong>in</strong>ed. Thishelps us to understand the extent <strong>of</strong> exposure <strong>of</strong> the sample resp<strong>on</strong>dentsto other development programmes s<strong>in</strong>ce such participati<strong>on</strong> is expected tohave a positive effect <strong>on</strong> the socio-ec<strong>on</strong>omic status and social capitalformati<strong>on</strong> <strong>of</strong> resp<strong>on</strong>dents and their overall participati<strong>on</strong> <strong>in</strong> the household aswell as the MGNREGS. The average participati<strong>on</strong> score <strong>of</strong> the resp<strong>on</strong>dentsis 15.3 and it ranged from 9.4 to 21.4. In all the sample districts, maximumnumber <strong>of</strong> resp<strong>on</strong>dents are benefited by PDS (53.7 per cent) followed bySGSY (25.5 per cent) and IAY (15.3 per cent). Negligible per cent <strong>of</strong> theresp<strong>on</strong>dents are benefited by watershed programme (3.2 per cent), pensi<strong>on</strong>s(6.1 per cent), dr<strong>in</strong>k<strong>in</strong>g water (7.1 per cent) and sanitati<strong>on</strong> (8.4 per cent).Similar trends are observed across the sample districts except dr<strong>in</strong>k<strong>in</strong>gwater facility; sample resp<strong>on</strong>dents <strong>of</strong> Gaya district <strong>of</strong> Bihar fared better (15per cent). Similarly, the benefit <strong>of</strong> SGSY is not visible <strong>in</strong> Mahaboobnagardistrict <strong>of</strong> Andhra Pradesh and Thrissur district <strong>of</strong> Kerala am<strong>on</strong>g the sampleresp<strong>on</strong>dents. Details can be seen from Fig.10.RS 97


54 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSParticipati<strong>on</strong> <strong>of</strong> SHGs <strong>in</strong> MGNREGSIn the present study the role <strong>of</strong> SHGs <strong>in</strong> MGNREGS was alsoexam<strong>in</strong>ed <strong>in</strong> terms <strong>of</strong> participati<strong>on</strong> <strong>of</strong> SHG women <strong>in</strong> MGNREGS relatedactivities. So, a few questi<strong>on</strong>s were posed to the resp<strong>on</strong>dents like as part<strong>of</strong> SHGs whether they have participated <strong>in</strong> the awareness meet<strong>in</strong>gs aboutMGNREGS, attended Gram Sabhas meant for selecti<strong>on</strong> <strong>of</strong> works, socialaudit and if any grievances persist, for their redressal. From the data it isevident that <strong>on</strong> the whole 47.6 per cent participated <strong>in</strong> the awarenessmeet<strong>in</strong>gs and 32.6 per cent <strong>in</strong> the selecti<strong>on</strong> <strong>of</strong> works and other 25 per cent<strong>in</strong> social audit. Only 13.7 per cent participated <strong>in</strong> grievance redressal process.But there are many variati<strong>on</strong>s across the sample districts and participati<strong>on</strong><strong>of</strong> resp<strong>on</strong>dents from Mahaboobnagar district <strong>of</strong> Andhra Pradesh and Gayadistrict <strong>of</strong> Bihar is high compared to Thrissur district <strong>of</strong> Kerala and South 24Paraganas district <strong>of</strong> West Bengal. Details can be seen from Table 5.14. Itmay be because <strong>of</strong> the reas<strong>on</strong> that the state programmes <strong>of</strong> SHG mademembers more vibrant and is reflected <strong>in</strong> the sample. Scores were assigned<strong>on</strong> different aspects <strong>of</strong> participati<strong>on</strong> <strong>in</strong> MGNREGS by SHG members. Theaverage participati<strong>on</strong> score is 29.7 per cent rang<strong>in</strong>g from 45 per cent <strong>in</strong>Mahaboobnagar district <strong>of</strong> Andhra Pradesh to 8.3 per cent <strong>of</strong> South 24Paraganas district <strong>of</strong> West Bengal (Fig. 11). The score for Gaya district <strong>of</strong>Bihar is also as high (44.7 per cent) as Mahaboobnagar district <strong>of</strong> AndhraPradesh. Resp<strong>on</strong>dents <strong>in</strong> Thrissur district <strong>of</strong> Kerala scored 24 per cent.Thus, membership <strong>in</strong> SHGs and degree <strong>of</strong> participati<strong>on</strong> <strong>in</strong> MGNREGS arepositively related which implies that these <strong>in</strong>stituti<strong>on</strong>s <strong>of</strong> the (poor) womenhave been effective <strong>in</strong> promot<strong>in</strong>g women’s <strong>in</strong>volvement <strong>in</strong> development.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 55Table 5.14 : SHGs’ Participati<strong>on</strong> <strong>in</strong> MGNREGSS.No. Particulars Andhra Bihar Kerala West TotalPradeshBengal1 Awareness Generati<strong>on</strong> 54.0 70.0 41.0 30.0 47.6Programme aboutMGNREGS2 Selecti<strong>on</strong> <strong>of</strong> works 48.0 51.2 33.0 2.0 32.63 Social Audit 73.0 15.0 9.0 1.0 25.04 Grievance redressal 5.0 42.5 13.0 13.7Score 45.0 44.7 24.0 11.0 29.7RS 97


56 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSDecisi<strong>on</strong>-mak<strong>in</strong>g at Household Level<strong>Women</strong> <strong>of</strong>ten face a double challenge <strong>in</strong> their efforts to ga<strong>in</strong> adegree <strong>of</strong> authority that will permit <strong>in</strong>dependent decisi<strong>on</strong> mak<strong>in</strong>g. First,they must overcome <strong>in</strong>ternal resistance and from oppositi<strong>on</strong> members; andthen they must deal with socio-cultural problems (c<strong>on</strong>stra<strong>in</strong>ts). Independentwomen <strong>in</strong> highly patriarchal societies are <strong>of</strong>ten subject to str<strong>on</strong>g patriarchalc<strong>on</strong>trols outside the immediate family and are unable to fully exercise theirpreferences <strong>in</strong> ways that benefit their families and children. In c<strong>on</strong>trast,women who live <strong>in</strong> societies that are more tolerant <strong>of</strong> <strong>in</strong>dependent behaviourare less likely to face these barriers. Social c<strong>on</strong>trols f<strong>in</strong>d expressi<strong>on</strong> <strong>in</strong> manyways restrict<strong>in</strong>g the freedom and choices <strong>of</strong> women.It is also argued that women’s authority over household decisi<strong>on</strong>mak<strong>in</strong>g embodies women’s status as the degree <strong>of</strong> women’s access to andc<strong>on</strong>trol over material resources (<strong>in</strong>clud<strong>in</strong>g food, <strong>in</strong>come, land, and otherforms <strong>of</strong> wealth) and social resources (<strong>in</strong>clud<strong>in</strong>g knowledge, power, andprestige) with<strong>in</strong> the family. <strong>Women</strong> who have significant say <strong>in</strong> householddecisi<strong>on</strong>s such as major household purchases (durables), their own healthcare, purchase <strong>of</strong> household daily necessities, and visits to family would behav<strong>in</strong>g better friends, have access to resources and also power to usethem.To analyse the quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong> the resp<strong>on</strong>dents <strong>in</strong>MGNREGS, it is also required to take <strong>in</strong>to c<strong>on</strong>siderati<strong>on</strong> the status <strong>of</strong> decisi<strong>on</strong>mak<strong>in</strong>g at household level. Many times degree <strong>of</strong> participati<strong>on</strong> <strong>of</strong> women<strong>in</strong> decisi<strong>on</strong> mak<strong>in</strong>g at household level depends up<strong>on</strong> favourable c<strong>on</strong>diti<strong>on</strong>sprevail<strong>in</strong>g at household or due to the <strong>in</strong>dividual traits <strong>of</strong> the resp<strong>on</strong>dents.Such factors not <strong>on</strong>ly affect decisi<strong>on</strong> mak<strong>in</strong>g but participati<strong>on</strong> <strong>in</strong> otheractivities as well <strong>in</strong>clud<strong>in</strong>g MGNREGS.In the present study an attempt was made to build the <strong>in</strong>dex <strong>of</strong>women’s participati<strong>on</strong> <strong>in</strong> decisi<strong>on</strong> mak<strong>in</strong>g (IWPHD) at household level tak<strong>in</strong>gfourteen <strong>in</strong>dicators such as matters perta<strong>in</strong><strong>in</strong>g to food, cloth<strong>in</strong>g, expenditure<strong>on</strong> self, purchase <strong>of</strong> assets, children’s educati<strong>on</strong>, health and marriages,RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 57attend<strong>in</strong>g social gather<strong>in</strong>gs, visit<strong>in</strong>g relatives, agricultural activities,participati<strong>on</strong> <strong>in</strong> labour, village development organisati<strong>on</strong>s/PRI, ruraldevelopment programmes etc. Informati<strong>on</strong> was also sought from resp<strong>on</strong>dentswhether the decisi<strong>on</strong> was taken by resp<strong>on</strong>dent al<strong>on</strong>e, or resp<strong>on</strong>dent al<strong>on</strong>gwith husband or others <strong>in</strong> household jo<strong>in</strong>tly or <strong>on</strong>ly husband/ others <strong>in</strong> thehousehold. Results are presented <strong>in</strong> Table 5.15. Regard<strong>in</strong>g food and cloth<strong>in</strong>g,women had a good say across all sample districts. In the areas perta<strong>in</strong><strong>in</strong>gto children like their educati<strong>on</strong>, health, marriages etc., it was the resp<strong>on</strong>dental<strong>on</strong>g with husband who usually took the decisi<strong>on</strong>s. With slight variati<strong>on</strong>s,the same trend is observed across sample districts. In Gaya district <strong>of</strong> Biharand South 24 Paraganas district <strong>of</strong> West Bengal, there are cases where <strong>on</strong>lyhusband/other members <strong>in</strong> the household took decisi<strong>on</strong>s <strong>on</strong> matters relat<strong>in</strong>gto children. Attend<strong>in</strong>g social gather<strong>in</strong>gs, visit<strong>in</strong>g relatives and expenditure<strong>on</strong> self are areas, where decisi<strong>on</strong>s were taken either by self or jo<strong>in</strong>tly al<strong>on</strong>gwith the husband / other household members.To c<strong>on</strong>struct the <strong>in</strong>dex <strong>of</strong> women’s participati<strong>on</strong> <strong>in</strong> household decisi<strong>on</strong>(IWPHD), simple scor<strong>in</strong>g procedure is adopted. Technical note giv<strong>in</strong>g detailsis attached (annexure-I).Weights <strong>of</strong> 2,1 and 0 are assigned to resp<strong>on</strong>ses if woman is decisi<strong>on</strong>maker, both woman and her husband are jo<strong>in</strong>tly tak<strong>in</strong>g decisi<strong>on</strong>s and womanis not part <strong>of</strong> decisi<strong>on</strong> mak<strong>in</strong>g, respectively.2(IWPHD) jfor an item, j = Σ W iP i/ 2i = 0where W iare weights : 0,1 and 2P iare percentage <strong>of</strong> resp<strong>on</strong>ses <strong>in</strong> each category.14The overall <strong>in</strong>dex <strong>of</strong> <strong>Women</strong>’s Participati<strong>on</strong> Σ<strong>in</strong> Household Decisi<strong>on</strong>s = i = 1 (IWPHD) j/ 140


58 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.15 : Decisi<strong>on</strong> Mak<strong>in</strong>g At Household Level –Distributi<strong>on</strong> <strong>of</strong> Resp<strong>on</strong>ses (%)ItemsStateAndhra Bihar Kerala West TotalPradeshBengalFood Only husband/ 1.0 1.0 8.0 2.6others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 35.0 42.5 33.0 46.0 38.9others <strong>in</strong> HHSelf 64.0 57.5 66.0 46.0 58.4Cloth<strong>in</strong>g Only husband/ 1.2 5.0 7.0 3.4others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 39.0 56.2 36.0 50.0 44.7others <strong>in</strong> HHSelf 61.0 42.5 59.0 43.0 51.8Children’s Only husband/ 10.0 3.0 9.0 5.3educati<strong>on</strong> others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 78.0 55.0 57.0 57.0 62.1others <strong>in</strong> HHSelf 22.0 35.0 40.0 34.0 32.6Children’s Only husband/ 2.5 10.0 3.2health others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 89.0 57.5 61.0 57.0 66.6others <strong>in</strong> HHSelf 11.0 40.0 39.0 33.0 30.3(C<strong>on</strong>td.)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 59Table 5.15 : (C<strong>on</strong>td.)Children’s Only husband/ 25.0 8.0 34.0 16.3marriages others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 95.0 57.5 41.0 50.0 61.1others <strong>in</strong> HHSelf 5.0 17.5 51.0 16.0 22.6Attend<strong>in</strong>g Only husband/ 12.5 5.0 14.0 7.6social others <strong>in</strong> HHgather<strong>in</strong>gsAl<strong>on</strong>g with husband/ 97.0 57.5 53.0 53.0 65.5others <strong>in</strong> HHSelf 3.0 30.0 42.0 33.0 26.8Visit<strong>in</strong>g Only husband/ 10.0 4.0 11.0 6.1relatives others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 97.0 72.5 66.0 47.0 70.5others <strong>in</strong> HHSelf 3.0 17.5 30.0 42.0 23.4Agricultural Only husband/ 15.0 36.0 12.0 15.8activities others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 94.0 57.5 36.0 51.0 59.7others <strong>in</strong> HHSelf 6.0 27.5 28.0 37.0 24.5Participati<strong>on</strong> Only husband/ 1.0 15.0 13.0 11.0 9.7<strong>in</strong> labour others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 90.0 45.0 35.0 44.0 53.9others <strong>in</strong> HHSelf 9.0 40.0 52.0 45.0 36.3(C<strong>on</strong>td.)RS 97


60 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.15 : (C<strong>on</strong>td.)Expenditure Only husband/ 1.0 23.8 3.0 12.0 9.2<strong>on</strong> self others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 71.0 35.0 38.0 46.0 48.2others <strong>in</strong> HHSelf 28.0 41.2 59.0 42.0 42.6Purchas<strong>in</strong>g Only husband/ 6.0 36.2 1.0 25.0 16.1<strong>of</strong> assets others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 86.0 56.2 58.0 56.0 64.5others <strong>in</strong> HHSelf 8.0 7.5 41.0 19.0 19.5Participati<strong>on</strong> Only husband/ 15.0 17.5 18.0 32.0 20.8<strong>in</strong> VDOs others <strong>in</strong> HH(SHGs,CBOs) Al<strong>on</strong>g with husband/ 68.0 45.0 12.0 35.0 39.7others <strong>in</strong> HHSelf 17.0 37.5 70.0 33.0 39.5Participati<strong>on</strong> Only husband/ 20.0 13.8 52.0 37.0 31.6<strong>in</strong> RD others <strong>in</strong> HHprogrammesAl<strong>on</strong>g with husband/ 74.0 53.8 8.0 40.0 43.4others <strong>in</strong> HHSelf 6.0 32.5 40.0 23.0 25.0Participat<strong>in</strong>g Only husband/ 28.0 51.2 13.0 47.0 33.9<strong>in</strong> PRI others <strong>in</strong> HHAl<strong>on</strong>g with husband/ 66.0 33.8 2.0 39.0 35.3others <strong>in</strong> HHSelf 6.0 15.0 85.0 14.0 30.8Index <strong>of</strong> women’s participati<strong>on</strong> <strong>in</strong> 56.3 57.4 69.3 56.8 60.1Household Decisi<strong>on</strong>s (%)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 61Regard<strong>in</strong>g agriculture activities and participati<strong>on</strong> <strong>in</strong> labour market, itis collective decisi<strong>on</strong> <strong>of</strong> wife and husband <strong>in</strong> most <strong>of</strong> the cases. Thoughthere are <strong>in</strong>ter-state variati<strong>on</strong>s, the trend is same. When it comes topurchase <strong>of</strong> assets two different patterns are observed. In the sample districts<strong>of</strong> AP and Kerala, women were also part <strong>of</strong> the decisi<strong>on</strong> mak<strong>in</strong>g but <strong>in</strong> Gayaand South 24 Paraganas decisi<strong>on</strong>s were taken by either husband or otherfamily members <strong>in</strong> a significant percentage <strong>of</strong> cases. When it comes toparticipati<strong>on</strong> <strong>in</strong> VDOs and RD programmes, it is the resp<strong>on</strong>dent either al<strong>on</strong>eor al<strong>on</strong>g with the husband who took decisi<strong>on</strong>. But this was not the samecase <strong>in</strong> respect <strong>of</strong> participati<strong>on</strong> <strong>in</strong> PRIs. In majority cases it is the husbandor the other family member who took decisi<strong>on</strong>. It is hearten<strong>in</strong>g to observethat <strong>in</strong> Kerala significant number <strong>of</strong> women resp<strong>on</strong>dents took decisi<strong>on</strong> toparticipate <strong>in</strong> PRI al<strong>on</strong>e. The data are presented <strong>in</strong> Figs.12a to 12d.The overall Index <strong>of</strong> <strong>Women</strong>’s Participati<strong>on</strong> <strong>in</strong> Household Decisi<strong>on</strong>sis 60.1 per cent. The score is highest (69.3 per cent ) for the resp<strong>on</strong>dents<strong>of</strong> Thrissur district <strong>of</strong> Kerala and almost same for the resp<strong>on</strong>dents <strong>of</strong> otherthree sample districts. It is 56.3 per cent for the resp<strong>on</strong>dents <strong>of</strong>Mahaboobnagar district <strong>of</strong> Andhra Pradesh, 57.4 per cent for the resp<strong>on</strong>dentsRS 97


62 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS<strong>of</strong> Gaya district <strong>of</strong> Bihar and 56.8 per cent for the resp<strong>on</strong>dents <strong>of</strong> South 24Paraganas district <strong>of</strong> West Bengal. Detailed scor<strong>in</strong>g is d<strong>on</strong>e <strong>in</strong>dicator-wiseand sample district-wise and presented below :RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 63Gender Sensitivity <strong>of</strong> Delivery MechanismsThough gender sensitive mechanisms are <strong>in</strong>-built <strong>in</strong> the programme,yet improved participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGS is a big challenge. Thecurrent governance systems are <strong>of</strong>ten not gender-resp<strong>on</strong>sive. Acti<strong>on</strong>sfulfill<strong>in</strong>g women’s needs, access to resources and opportunities, c<strong>on</strong>trolover outputs and outcomes are essential. The implementati<strong>on</strong> strategy andthe processes are key to improve the quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong> marg<strong>in</strong>alisedpeople, especially the poor and the women <strong>in</strong> the programme. So, we havemeasured the gender sensitivity <strong>of</strong> the delivery mechanism based <strong>on</strong> theresp<strong>on</strong>ses <strong>of</strong> the women members. Gender Sensitive Development System(GSDS) <strong>in</strong>dex has been developed based <strong>on</strong> the attitude and the help thatthe <strong>of</strong>ficials rendered to the resp<strong>on</strong>dents <strong>in</strong> the process <strong>of</strong> MGNREGS likeregistrati<strong>on</strong> <strong>of</strong> job cards, issu<strong>in</strong>g <strong>of</strong> job cards, giv<strong>in</strong>g <strong>in</strong>formati<strong>on</strong> about thework, priority to women <strong>in</strong> the allocati<strong>on</strong> <strong>of</strong> work, arrang<strong>in</strong>g worksite facilities(shade, crèche, dr<strong>in</strong>k<strong>in</strong>g water and first aid), record<strong>in</strong>g and read<strong>in</strong>g outmuster rolls, help<strong>in</strong>g women to get wages as per prescribed work norms,help<strong>in</strong>g women <strong>in</strong> open<strong>in</strong>g accounts <strong>in</strong> banks/post <strong>of</strong>fices, solv<strong>in</strong>g problems<strong>of</strong> women at the worksite etc. Resp<strong>on</strong>ses <strong>of</strong> the resp<strong>on</strong>dents were collected<strong>on</strong> three-po<strong>in</strong>t scale hav<strong>in</strong>g the opti<strong>on</strong>s like not at all (0), somewhat (1) andvery much (2). Details can be observed from Table 5.16.RS 97


64 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.16 : Whether Officials and GP Representatives are Help<strong>in</strong>g<strong>Women</strong> – Distributi<strong>on</strong> <strong>of</strong> Resp<strong>on</strong>sesIn regard to Resp<strong>on</strong>se StateAndhra Bihar Kerala West TotalPradeshBengal(1) (2) (3) (4) (5) (6) (7)Registrati<strong>on</strong> Not at all 8.0 10.0 1.0 3.0 5.3for job cards Somewhat 8.0 40.0 26.0 65.0 34.5Very much 84.0 50.0 73.0 32.0 60.3Issu<strong>in</strong>g <strong>of</strong> Not at all 7.0 5.0 1.0 2.0 3.7job cards Somewhat 12.0 46.2 27.0 72.0 38.9Very much 81.0 48.8 72.0 26.0 57.4Giv<strong>in</strong>g <strong>in</strong>formati<strong>on</strong> Not at all 1.0 47.5 2.0 11.0 13.7to women about Somewhat 19.0 21.2 37.0 80.0 40.3work Very much 80.0 31.2 61.0 9.0 46.1Priority to women Not at all 6.0 45.0 14.0 21.0 20.3<strong>in</strong> allocati<strong>on</strong> <strong>of</strong> works Somewhat 25.0 28.8 34.0 73.0 40.8Very much 69.0 26.2 52.0 6.0 38.9Arrang<strong>in</strong>g worksite facilitiesShade Not at all 16.0 86.2 6.0 46.0 36.1Somewhat 30.0 12.5 26.0 46.0 29.5Very much 54.0 1.2 68.0 8.0 34.5Creche Not at all 8.0 98.8 60.0 73.0 57.9Somewhat 36.0 1.2 14.0 23.0 19.5Very much 56.0 26.0 4.0 22.6(C<strong>on</strong>td.)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 65Table 5.16 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6) (7)Dr<strong>in</strong>k<strong>in</strong>g Water Not at all 5.0 80.0 2.0 51.0 32.1Somewhat 41.0 16.2 20.0 45.0 31.3Very much 54.0 3.8 78.0 4.0 36.6First Aid Not at all 12.0 95.0 62.0 39.5Somewhat 29.0 5.0 20.0 36.0 23.4Very much 59.0 80.0 2.0 37.1Muster rolls Not at all 6.0 58.8 8.0 33.0 24.7Somewhat 29.0 23.8 33.0 54.0 35.5Very much 65.0 17.5 59.0 13.0 39.7Help<strong>in</strong>g women to Not at all 4.0 55.0 5.0 32.0 22.4get wages as per Somewhat 30.0 32.5 39.0 61.0 41.1prescribed work Very much 66.0 12.5 56.0 7.0 36.6normsHelp<strong>in</strong>g women Not at all 11.0 58.8 8.0 33.0 26.1<strong>in</strong> open<strong>in</strong>g Somewhat 22.0 23.8 25.0 48.0 30.0accounts <strong>in</strong> Very much 67.0 17.5 67.0 19.0 43.9banks/post <strong>of</strong>ficeSolv<strong>in</strong>g problems Not at all 9.0 61.2 44.0 47.0 39.2<strong>of</strong> women at the Somewhat 31.0 31.2 12.0 47.0 30.3worksite Very much 60.0 7.5 44.0 6.0 30.5On all the 12 parameters, gender sensitivity <strong>of</strong> the <strong>of</strong>ficials is low<strong>in</strong> West Bengal and Bihar compared to Andhra Pradesh and Kerala. In theareas <strong>of</strong> registrati<strong>on</strong> <strong>of</strong> job cards and issu<strong>in</strong>g <strong>of</strong> job cards, resp<strong>on</strong>dentsreported that if not very much support but at least some support they couldget from <strong>of</strong>ficials. Regard<strong>in</strong>g giv<strong>in</strong>g <strong>in</strong>formati<strong>on</strong> and priority to women <strong>in</strong>work, significant number <strong>of</strong> resp<strong>on</strong>dents from Gaya district <strong>of</strong> Bihar andRS 97


66 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSSouth 24 Paraganas district <strong>of</strong> West Bengal felt that <strong>of</strong>ficials’ support wasnot at all encourag<strong>in</strong>g. When it comes to worksite facilities and <strong>in</strong> particularprovisi<strong>on</strong> <strong>of</strong> crèche facility, majority <strong>of</strong> the resp<strong>on</strong>dents <strong>in</strong> all the sampledistricts other than Mahaboobnagar <strong>of</strong> Andhra Pradesh felt that <strong>of</strong>ficials’help was largely miss<strong>in</strong>g. Overall <strong>in</strong> Gaya district <strong>of</strong> Bihar, provisi<strong>on</strong> <strong>of</strong> allworksite facilities was mostly ignored. Even <strong>in</strong> help<strong>in</strong>g the resp<strong>on</strong>dents toget wages as per prescribed work norms and open<strong>in</strong>g <strong>of</strong> accounts <strong>in</strong> banks/post <strong>of</strong>fices, significant number <strong>of</strong> people from Bihar and West Bengalreported that they could not receive any support from <strong>of</strong>ficials. When it issolv<strong>in</strong>g the problems <strong>of</strong> women at the worksites, aga<strong>in</strong> exceptMahaboobnagar district <strong>of</strong> Andhra Pradesh, majority <strong>of</strong> the resp<strong>on</strong>dentsfrom other sample districts <strong>in</strong>formed lack <strong>of</strong> any support from <strong>of</strong>ficials.Bhootpur and Pebbair blocks <strong>of</strong> Mahaboobnagar district <strong>of</strong> AndhraPradesh are chosen purposively, where all the <strong>of</strong>ficials start<strong>in</strong>g from mate,field assistant, technical assistant, assistant project <strong>of</strong>ficer and Project<strong>of</strong>ficer all are women. In Kerala, many <strong>of</strong> the mates are women and so helprendered by them has been reflected <strong>in</strong> the resp<strong>on</strong>ses <strong>of</strong> the resp<strong>on</strong>dents.Scores <strong>on</strong> Gender Sensitive Development System (GSDS) have beenworked out (Technical note appended). From the follow<strong>in</strong>g diagram (Fig.13),it is observed that the delivery mechanism is more gender-sensitive <strong>in</strong>Mahaboobnagar district <strong>of</strong> Andhra Pradesh. The GSDS score is 79.3 per centfor this district as aga<strong>in</strong>st the aggregate score <strong>of</strong> 56.8 per cent for all thesample districts. The Gaya district <strong>of</strong> Bihar got the least score <strong>of</strong> 29.8 percent. The other two districts <strong>of</strong> Thrissur district <strong>of</strong> Kerala and South 24Paraganas district <strong>of</strong> West Bengal obta<strong>in</strong>ed a score <strong>of</strong> about 74.4 and 38.4per cent respectively. The presence <strong>of</strong> women functi<strong>on</strong>aries has made asignificant difference besides pro-women attitude <strong>of</strong> the State <strong>in</strong> AP andKerala. So, more c<strong>on</strong>certed efforts have to be made <strong>in</strong> the other two states<strong>of</strong> Bihar and West Bengal to make delivery system gender-sensitive.On the views <strong>of</strong> the resp<strong>on</strong>dents about effectiveness <strong>of</strong> womenfucti<strong>on</strong>aries <strong>in</strong> help<strong>in</strong>g women wage seekers <strong>in</strong> the process <strong>of</strong> MGNREGS,48.4 per cent <strong>of</strong> the resp<strong>on</strong>dents felt they are effective and 20.3 per centRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 67felt they are not effective while the rest are <strong>in</strong>decisive There arec<strong>on</strong>siderable <strong>in</strong>ter-state variati<strong>on</strong>s. The number <strong>of</strong> resp<strong>on</strong>dents endors<strong>in</strong>gthe effectiveness <strong>of</strong> women was high <strong>in</strong> Mahaboobnagar district <strong>of</strong> AndhraPradesh (75 per cent) followed by Thrissur district <strong>of</strong> Kerala (67 per cent)and then Gaya district <strong>of</strong> Bihar (41.3 per cent). This number is least <strong>in</strong>South 24 Paraganas district <strong>of</strong> West Bengal with <strong>on</strong>ly 9 per cent. Detailscan be seen from Table 5.17.Table 17 : Percepti<strong>on</strong>s About <strong>Women</strong> Functi<strong>on</strong>aries’ Effectiveness <strong>in</strong>Help<strong>in</strong>g the Resp<strong>on</strong>dents <strong>in</strong> the Process <strong>of</strong> MGNREGSStateAndhra Bihar Kerala West TotalPradeshBengalNo 18.0 50.0 1.0 18.0 20.3Neutral 7.0 8.8 32.0 73.0 31.3Yes 75.0 41.3 67.0 9.0 48.4Total 100.0 100.0 100.0 100.0 100.0RS 97


68 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSWhen it was probed further <strong>in</strong> what way women wage seekers foundwomen <strong>of</strong>ficials more effective, most <strong>of</strong> the resp<strong>on</strong>ses <strong>in</strong>dicate that women<strong>of</strong>ficials were more receptive, sensitive and understand<strong>in</strong>g; it wascomfortable to share the problems with them. They were easily approachableand it was easy to communicate with them. They were helpful and help<strong>in</strong>g<strong>in</strong> all activities. They were treat<strong>in</strong>g the resp<strong>on</strong>dents well and also c<strong>on</strong>sider<strong>in</strong>gtheir problems. They were even very cooperative. F<strong>in</strong>ally resp<strong>on</strong>dents saidwomen <strong>of</strong>ficials are empathetic towards women.Awareness About MGNREGSCommunity awareness about MGNREGS is critical to its effectiveimplementati<strong>on</strong>. MGNREGS is a community-oriented and demand-drivenscheme. Effective implementati<strong>on</strong> <strong>of</strong> MGNREGS demands awareness am<strong>on</strong>gbeneficiaries/workers, implement<strong>in</strong>g agencies and civil society. Beneficiariesare expected to know the procedure for registrati<strong>on</strong> and obta<strong>in</strong><strong>in</strong>g a jobcard, the process <strong>of</strong> job applicati<strong>on</strong>, submissi<strong>on</strong> <strong>of</strong> applicati<strong>on</strong> form forwork and various entitlements like provisi<strong>on</strong> <strong>of</strong> work with<strong>in</strong> fifteen daysfrom the time <strong>of</strong> applicati<strong>on</strong>, m<strong>in</strong>imum wages, worksite facilities,unemployment allowance etc. The implement<strong>in</strong>g agencies should be well<strong>in</strong>formed <strong>of</strong> the procedural aspects for enforc<strong>in</strong>g / protect<strong>in</strong>g the entitlements,grievance redressal mechanism and implementati<strong>on</strong> <strong>of</strong> the scheme. Thecivil society organisati<strong>on</strong>s should be aware <strong>of</strong> their collective resp<strong>on</strong>sibility<strong>in</strong> the process <strong>of</strong> implementati<strong>on</strong> like selecti<strong>on</strong> <strong>of</strong> works, c<strong>on</strong>duct <strong>of</strong> GramSabhas and social audit, grievance redressal mechanisms, m<strong>on</strong>itor<strong>in</strong>gcommittees etc.To <strong>in</strong>form and educate the salient features <strong>of</strong> MGNREGA, the districtadm<strong>in</strong>istrati<strong>on</strong> has taken a number <strong>of</strong> <strong>in</strong>itiatives, viz., orientati<strong>on</strong> <strong>of</strong> <strong>of</strong>ficialsand PRI members, meet<strong>in</strong>gs at district and sub-divisi<strong>on</strong>s, block and grampanchayat levels <strong>on</strong> the process <strong>of</strong> MGNREGS implementati<strong>on</strong>. The GramPanchayat and <strong>of</strong>fice <strong>of</strong> the programme <strong>of</strong>ficer, other agencies have alsotaken measures to sensitise and <strong>in</strong>form the rural community <strong>on</strong> their rightsand entitlements, procedures for seek<strong>in</strong>g employment and redress<strong>in</strong>g theirgrievances.The study has sought to analyse the awareness levels <strong>of</strong> the womenworkers <strong>on</strong> different parameters <strong>of</strong> MGNREGS like the entitlements, worksRS 97


72 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSawareness about <strong>of</strong>ficials to be c<strong>on</strong>tacted if wages are not paid with<strong>in</strong> 15days is low at 32.9 per cent.The overall score <strong>of</strong> awareness is calculated for the abovecomp<strong>on</strong>ents (Technical note- annexure-I) and is 45.8 per cent with lowlevels <strong>of</strong> awareness am<strong>on</strong>g sample resp<strong>on</strong>dents <strong>in</strong> South 24 Paraganasdistrict <strong>of</strong> West Bengal at 27 per cent. While Gaya district <strong>of</strong> Bihar showedpoor performance about awareness <strong>of</strong> the mandatory facilities, South 24Paraganas district <strong>of</strong> West Bengal showed poor performance regard<strong>in</strong>gawareness about the grievance redressal procedures.The overall score <strong>of</strong> awareness for all the above comp<strong>on</strong>ents is 39.1per cent with wide variati<strong>on</strong> across the sample districts. These scoresvaried from 23.9 (Gaya) to 58.4 per cent (Mahaboobnagar).Several agencies and media are used to generate awareness aboutMGNREGS. Informati<strong>on</strong> <strong>on</strong> the relative importance <strong>of</strong> these sources isprovided <strong>in</strong> Table 5.19. Gram Panchayat is the major source <strong>of</strong> <strong>in</strong>formati<strong>on</strong>(55.3 per cent) followed by SHGs (47.9 per cent), <strong>of</strong>ficials (32.1 per cent)and Rozgar Sevak (31.1 per cent). In respect <strong>of</strong> media, Radio (42.4 per cent)followed by newspapers (20 per cent) and wall writ<strong>in</strong>gs (19.7 per cent) areimportant sources to generate awareness am<strong>on</strong>g community.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 73Table 5.19 : Awareness about NREGS - Sources <strong>of</strong> Informati<strong>on</strong>(Agency & Media)(%)S.No. Particulars Andhra Bihar Kerala West TotalPradeshBengala) Agency1 GP 35.0 40.0 58.0 85.0 55.32 SHG 41.0 60.0 53.0 40.0 47.93 Officials 85.0 2.5 15.0 20.0 32.14 Rozgar Sevak 93.0 10.0 13.0 4.0 31.15 Others* 4.0 15.0 23.0 7.0 12.1b) Media1 Radio 28.0 13.8 66.0 56.0 42.42 Wall writ<strong>in</strong>gs 51.0 24.0 19.73 Pamphlets 4.0 2.0 1.0 1.84 Kalajathas 66.0 17.45 Films 5.0 10.0 3.96 Newspaper 28.0 46.0 2.0 20.07 Others (meet<strong>in</strong>gs) 74.0 67.5 73.0 12.0 56.1* co-workers, fellow villagers, friends, mate, members, neighbours,villagers, ward member.Participati<strong>on</strong> <strong>in</strong> MGNREGSParticipati<strong>on</strong> is <strong>on</strong>e <strong>of</strong> the key <strong>in</strong>gredients <strong>of</strong> an empoweredcommunity. It is important for many different reas<strong>on</strong>s and <strong>of</strong>fers benefitsfor <strong>in</strong>dividuals, communities, organisati<strong>on</strong>s and societies as a whole. Thesebenefits relate to both the process, effects and outcomes <strong>of</strong> participati<strong>on</strong>.By participat<strong>in</strong>g, the <strong>in</strong>dividual or communities ga<strong>in</strong> c<strong>on</strong>fidence, self-esteem,understand<strong>in</strong>g <strong>of</strong> issues and power necessary to articulate their c<strong>on</strong>cernsRS 97


74 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSand also ensure that acti<strong>on</strong> is taken to address them and more broadly ga<strong>in</strong>c<strong>on</strong>trol over their lives. Participati<strong>on</strong> <strong>in</strong> decisi<strong>on</strong> mak<strong>in</strong>g, plann<strong>in</strong>g and acti<strong>on</strong>is human right but many times people rema<strong>in</strong> as passive recipients <strong>of</strong> theservices provided by the agencies/ governments.Work<strong>in</strong>g def<strong>in</strong>iti<strong>on</strong> <strong>of</strong> participati<strong>on</strong> <strong>in</strong> the present study can be takenas a process by which people are enabled to become actively and genu<strong>in</strong>ely<strong>in</strong>volved <strong>in</strong> def<strong>in</strong><strong>in</strong>g the issues <strong>of</strong> c<strong>on</strong>cern to them, <strong>in</strong> mak<strong>in</strong>g decisi<strong>on</strong>sabout factors that affect their lives, <strong>in</strong> plann<strong>in</strong>g, develop<strong>in</strong>g and deliver<strong>in</strong>gservices and <strong>in</strong> tak<strong>in</strong>g acti<strong>on</strong> to achieve change. The first and most obviouspr<strong>in</strong>ciple <strong>of</strong> participati<strong>on</strong> is that people are <strong>in</strong>volved.Participati<strong>on</strong> <strong>in</strong> MGNREGS is <strong>on</strong>e <strong>of</strong> the pre-requisites to enforce the‘rights and entitlements’ envisaged <strong>in</strong> the Act and make it a communityorientedand a demand-driven scheme.Year <strong>of</strong> First Participati<strong>on</strong>The programme was <strong>in</strong>troduced <strong>in</strong> selected districts dur<strong>in</strong>g 2006-07and extended to all the districts from 2007-08 <strong>on</strong>wards. The beneficiariescovered <strong>in</strong> the first phase have a maximum score for participati<strong>on</strong> <strong>of</strong> threeyears and the beneficiaries <strong>in</strong> the sec<strong>on</strong>d phase have a maximumparticipati<strong>on</strong> <strong>of</strong> two years (The reference period <strong>of</strong> the study is 2009-10).The ga<strong>in</strong>s are expected to be positively related to the number <strong>of</strong> years <strong>of</strong>participati<strong>on</strong>. The distributi<strong>on</strong> <strong>of</strong> beneficiaries by year <strong>of</strong> first participati<strong>on</strong>is shown <strong>in</strong> Table 5.20. Only 13.7 per cent <strong>of</strong> the sample householdsparticipated s<strong>in</strong>ce first year (2006-07), 11.6 per cent participated s<strong>in</strong>cesec<strong>on</strong>d year (2007-08) and 26.3 per cent resp<strong>on</strong>dents participated s<strong>in</strong>cethird year (2008-09). A majority <strong>of</strong> households (47.1 per cent) participated<strong>in</strong> the programme <strong>on</strong>ly from two years. There are significant differencesacross sample districts <strong>in</strong> the years <strong>of</strong> participati<strong>on</strong>. Mahaboobnagar district<strong>of</strong> Andhra Pradesh has a high proporti<strong>on</strong> <strong>of</strong> workers (about 81.1 per cent)with participati<strong>on</strong> for three years. Majority <strong>of</strong> the beneficiaries (70 percent) <strong>in</strong> South 24 Paraganas district <strong>of</strong> West Bengal and Gaya district <strong>of</strong>Bihar have <strong>on</strong>ly <strong>on</strong>e year <strong>of</strong> participati<strong>on</strong>.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 75Table 5.20 : From Which Year You Have Been Work<strong>in</strong>g with MGNREGSStateAndhra Bihar Kerala West TotalPradeshBengal2006-07 47.0 5.0 13.72007-08 34.0 8.8 3.0 11.62008-09 4.0 21.3 66.0 13.0 26.32009-10 15.0 70.0 32.0 76.0 47.12010-11 2.0 3.0 1.3Total 100.0 100.0 100.0 100.0 100.0Number <strong>of</strong> Days <strong>of</strong> Employment <strong>in</strong> MGNREGSThe number <strong>of</strong> days <strong>of</strong> employment <strong>in</strong> the works <strong>of</strong> MGNREGS is akey element <strong>in</strong> the study. The average days <strong>of</strong> employment has been workedout for resp<strong>on</strong>dents <strong>in</strong> the sample districts. It is highest for Mahaboobnagardistrict <strong>of</strong> Andhra Pradesh with 66 days followed by Thrissur district<strong>of</strong> Kerala with 50 days. The least is recorded <strong>in</strong> the South 24 Paraganasdistrict <strong>of</strong> West Bengal with 14 days and is 26 days <strong>in</strong> the Gaya district <strong>of</strong>Bihar. (These are the employment days reported for 2009-10). Details canbe seen from Fig. 16.When it was further enquired about the type <strong>of</strong> works <strong>in</strong> whichresp<strong>on</strong>dents have participated, it was known that <strong>in</strong> Mahaboobnagar district<strong>of</strong> Andhra Pradesh, the resp<strong>on</strong>dents have d<strong>on</strong>e works like jungle clearance,bund<strong>in</strong>g, land levell<strong>in</strong>g, widen<strong>in</strong>g and deepen<strong>in</strong>g feeder channel, de-silt<strong>in</strong>gpercolati<strong>on</strong> tanks, pits for horticulture plantati<strong>on</strong>, silt applicati<strong>on</strong> etc. InGaya district <strong>of</strong> Bihar resp<strong>on</strong>dents took up works like digg<strong>in</strong>g, ruralc<strong>on</strong>nectivity, plantati<strong>on</strong> and forest roads. In Thrissur district <strong>of</strong> Kerala, bushclearance, agriculture works under watershed, bund<strong>in</strong>g, rural c<strong>on</strong>nectivity,irrigati<strong>on</strong> works like desilt<strong>in</strong>g <strong>of</strong> canals, p<strong>on</strong>ds, dra<strong>in</strong>age etc. and floodc<strong>on</strong>trol works were taken up. In South 24 Paraganas district <strong>of</strong> West Bengal,RS 97


76 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSland development, plantati<strong>on</strong>, nursery, desilt<strong>in</strong>g <strong>of</strong> p<strong>on</strong>ds, rural c<strong>on</strong>nectivity,river bank repair works, flood c<strong>on</strong>trol works etc. were taken up. It can be<strong>in</strong>ferred that <strong>in</strong> all the sample districts, a number <strong>of</strong> works reflect<strong>in</strong>g localneeds were taken up.Type <strong>of</strong> Participati<strong>on</strong>To measure participati<strong>on</strong> <strong>of</strong> wage seekers especially women, theirparticipati<strong>on</strong> <strong>in</strong> MGNREGS is captured <strong>in</strong> five areas. These areas areparticipati<strong>on</strong> <strong>in</strong> the process <strong>of</strong> MGNREGS, approach<strong>in</strong>g <strong>of</strong>ficials for gett<strong>in</strong>g<strong>in</strong>formati<strong>on</strong> <strong>on</strong> different aspects, approach<strong>in</strong>g <strong>of</strong>ficials <strong>in</strong> the case <strong>of</strong>difficulties/grievances, participati<strong>on</strong> as members <strong>in</strong> different committees,participat<strong>in</strong>g <strong>in</strong> exercis<strong>in</strong>g their rights and tak<strong>in</strong>g decisi<strong>on</strong>s perta<strong>in</strong><strong>in</strong>g toMGNREGS at household as well as the community level. A scale wasadm<strong>in</strong>istered to capture the quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong> women i.e. reallyactive (2), moderate (1) or no participati<strong>on</strong> (0). Participati<strong>on</strong> was c<strong>on</strong>sideredactive if women took the lead, moderate if woman al<strong>on</strong>g with men took the<strong>in</strong>itiative and nil if men <strong>on</strong>ly participated <strong>in</strong> the activity. In the cases, wheren<strong>on</strong>e from the family took part <strong>in</strong> the process, it was also treated notapplicable case. The results are presented <strong>in</strong> Table 5.21.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 77Table 5.21 : Participati<strong>on</strong> <strong>in</strong> MGNREGS ProcessActivity Resp<strong>on</strong>se StateAndhra Bihar Kerala West TotalPradeshBengalApply<strong>in</strong>g for N<strong>on</strong>e 5.0 3.8 1.0 2.4job cardOnly husband/ 1.0 16.2 3.0 9.0 6.8othersAl<strong>on</strong>g with 45.0 43.8 14.0 34.0 33.7husband/othermembersSelf 49.0 36.2 82.0 57.0 57.1Apply<strong>in</strong>g for N<strong>on</strong>e 27.0 27.5 20.0 32.0 26.6workOnly husband/ 2.0 15.0 7.0 5.5othersOpen<strong>in</strong>g bankaccountsAl<strong>on</strong>g with 46.0 36.3 11.0 32.0 31.1husband/othermembersSelf 25.0 21.3 69.0 29.0 36.8N<strong>on</strong>eOnly husband/ 4.0 50.0 6.0 13.0 16.6othersAl<strong>on</strong>g with 35.0 21.3 13.0 43.0 28.4husband/othermembersSelf 61.0 28.8 81.0 44.0 55.0(C<strong>on</strong>td.)RS 97


78 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSReceiv<strong>in</strong>gwagesN<strong>on</strong>eTable 5.21 : (C<strong>on</strong>td.)Only husband/ 1.0 10.0 10.0 5.0othersAl<strong>on</strong>g with 14.0 38.8 14.0 21.0 21.1husband/othermembersSelf 85.0 51.3 86.0 69.0 73.9Participat<strong>in</strong>g <strong>in</strong> N<strong>on</strong>e 1.0 8.8 16.0 23.0 12.4the awarenessmeet<strong>in</strong>gsOnly husband/ 3.0 42.5 6.0 11.3othersAl<strong>on</strong>g with 71.0 42.5 9.0 29.0 37.6husband/othermembersSelf 25.0 6.3 75.0 42.0 38.7Selecti<strong>on</strong> <strong>of</strong> N<strong>on</strong>e 31.0 33.8 19.0 48.0 32.9works <strong>in</strong> GramSabhaOnly husband/ 17.0 23.8 2.0 23.0 16.1othersAl<strong>on</strong>g with 41.0 28.8 7.0 15.0 22.6husband/other membersSelf 11.0 13.8 72.0 14.0 28.4Participat<strong>in</strong>g <strong>in</strong> N<strong>on</strong>e 8.0 88.8 82.0 84.0 64.5the social auditOnly husband/ 2.0 1.2 0.8othersAl<strong>on</strong>g with 65.0 5.0 6.0 19.7husband/othermembersSelf 25.0 5.0 18.0 10.0 15.0Participati<strong>on</strong> Overall 71.8 51.4 76.0 58.2 65.0score <strong>of</strong> women<strong>in</strong> NREGS (PSW)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 79In apply<strong>in</strong>g for job cards, <strong>in</strong> most <strong>of</strong> the cases, it is self who applied.It is very high <strong>in</strong> Thrissur district <strong>of</strong> Kerala (82 per cent) followed by South24 Paraganas district <strong>of</strong> West Bengal (57 per cent) and Mahaboobnagardistrict <strong>of</strong> Andhra Pradesh (45 per cent) and the least <strong>in</strong> Gaya district <strong>of</strong>Bihar (36.2 per cent). Many resp<strong>on</strong>dents from almost all sample districtseither applied by self or al<strong>on</strong>g with husband/ other family members. Thereare very few cases where n<strong>on</strong>e <strong>of</strong> them participated but job cards wereissued as a sort <strong>of</strong> procedure.Substantial number <strong>of</strong> sample resp<strong>on</strong>dents <strong>in</strong> all the sample districtsdid not apply for work. In Thrissur district <strong>of</strong> Kerala, 80 per cent <strong>of</strong> theresp<strong>on</strong>dents either by self or al<strong>on</strong>g with the husband/ other family membersapplied for work. Such number is 71 per cent <strong>in</strong> Mahaboobnagar followedby 61 per cent <strong>in</strong> South 24 Paraganas and 57 per cent <strong>in</strong> Gaya.Majority <strong>of</strong> the resp<strong>on</strong>dents have opened bank accounts bythemselves and such cases are very high <strong>in</strong> (81 per cent) Thrissur followedby Mahaboobnagar (61 per cent). In other two sample districts <strong>of</strong> South 24Paraganas and Gaya, the resp<strong>on</strong>dents took the support <strong>of</strong> husband/ otherfamily members <strong>in</strong> perform<strong>in</strong>g the task. In Gaya district <strong>of</strong> Bihar, it isdisturb<strong>in</strong>g to observe that <strong>in</strong> 50 per cent <strong>of</strong> the cases, it is <strong>on</strong>ly husband/other members <strong>of</strong> the family, who opened bank accounts by tak<strong>in</strong>g justsignatures <strong>of</strong> the resp<strong>on</strong>dents.Open<strong>in</strong>g <strong>of</strong> <strong>in</strong>dividual post <strong>of</strong>fice/ bank accounts by women workersis <strong>on</strong>e <strong>of</strong> the gender-sensitive <strong>in</strong>itiatives taken up <strong>in</strong> MGNREGS and itseffect has been reflected <strong>in</strong> the number <strong>of</strong> resp<strong>on</strong>dents who have receivedwages either by themselves or al<strong>on</strong>g with husband/other members <strong>in</strong> thefamily. The number <strong>of</strong> resp<strong>on</strong>dents <strong>in</strong> all the sample districts, who receivedwages by themselves, is very encourag<strong>in</strong>g. Still there are cases <strong>in</strong> Gaya andSouth 24 Paraganas <strong>in</strong> which <strong>on</strong>ly husband/ other members <strong>of</strong> family havedrawn wages.Participati<strong>on</strong> <strong>in</strong> large number <strong>in</strong> awareness meet<strong>in</strong>gs is found <strong>in</strong>Thrissur district <strong>on</strong>ly. In South 24 Paraganas and Mahaboobnagar toosignificant number <strong>of</strong> resp<strong>on</strong>dents attended awareness meet<strong>in</strong>gs by self orRS 97


80 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSal<strong>on</strong>g with husband/ other members <strong>of</strong> family. It is discourag<strong>in</strong>g to observethat <strong>in</strong> Gaya district more than half <strong>of</strong> the resp<strong>on</strong>dents (51.3 per cent) didnot attend any awareness meet<strong>in</strong>gs.Except <strong>in</strong> Thrissur district <strong>of</strong> Kerala, resp<strong>on</strong>dents’ participati<strong>on</strong> waslow <strong>in</strong> the selecti<strong>on</strong> <strong>of</strong> works <strong>in</strong> Gram Sabhas. More than half <strong>of</strong> theresp<strong>on</strong>dents <strong>in</strong> all other sample districts did not participate <strong>in</strong> the GramSabhas meant for selecti<strong>on</strong> <strong>of</strong> works <strong>of</strong> MGNREGS. Participati<strong>on</strong> <strong>in</strong> socialaudit is another neglected area, where more than 80 per cent resp<strong>on</strong>dents<strong>in</strong> all the sample districts other than Mahaboobnagar district <strong>of</strong> AndhraPradesh did not participate. In Mahaboobnagar district <strong>of</strong> Andhra Pradesh,90 per cent <strong>of</strong> the resp<strong>on</strong>dents participated either themselves or al<strong>on</strong>g withthe husband/ other members <strong>of</strong> family <strong>in</strong> social audit.Approached Officials for Informati<strong>on</strong>Data were collected from the resp<strong>on</strong>dents, whether they haveapproached the <strong>of</strong>ficials for any <strong>in</strong>formati<strong>on</strong> <strong>on</strong> entitlements and rights <strong>of</strong>wage seekers under MGNREGS, issu<strong>in</strong>g <strong>of</strong> job cards, open<strong>in</strong>g <strong>of</strong> bank/post<strong>of</strong>fice accounts, provisi<strong>on</strong> <strong>of</strong> work, unemployment allowance, type <strong>of</strong> worksto be taken up under MGNREGS, mandatory worksite facilities, social auditand c<strong>on</strong>vergence <strong>in</strong>itiatives under MGNREGS etc. Details are presented <strong>in</strong>Table 5.22. In fact this aspect is very important from the view po<strong>in</strong>t <strong>of</strong>social accountability. The resp<strong>on</strong>ses <strong>in</strong>dicate whether demand for<strong>in</strong>formati<strong>on</strong>/services from the c<strong>on</strong>cerned agencies is emerg<strong>in</strong>g or not fromthe workers and more so women.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 81Table 5.22 : NREGS Workers Approach<strong>in</strong>g Officials (Rozgar Sevak, APO,PO, Technical Assistant) for Informati<strong>on</strong> – Distributi<strong>on</strong> <strong>of</strong> Resp<strong>on</strong>ses(%)Seek<strong>in</strong>g Resp<strong>on</strong>se State<strong>in</strong>formati<strong>on</strong> <strong>on</strong> Andhra Bihar Kerala West TotalPradeshBengalEntitlements/ N<strong>on</strong>e 1.0 32.5 71.0 22.0 31.6Rights <strong>of</strong>MGNREGSOnly husband/ 1.0 5.0 6.0 2.9othersAl<strong>on</strong>g with 54.0 37.5 3.0 26.0 29.7husband/othermembersSelf 44.0 25.0 26.0 46.0 35.8Issu<strong>in</strong>g <strong>of</strong> N<strong>on</strong>e 17.5 56.0 6.0 20.0Job cardOnly husband/ 12.5 1.0 6.0 4.5othersAl<strong>on</strong>g with 78.0 45.0 5.0 61.0 47.4husband/othermembersSelf 22.0 25.0 38.0 27.0 28.2Open<strong>in</strong>g the N<strong>on</strong>e 5.0 3.8 6.0 6.0 5.3bank/post <strong>of</strong>ficeaccountOnly husband/ 7.5 1.0 7.0 3.7othersAl<strong>on</strong>g with 34.0 63.8 25.0 65.0 46.1husband/other membersSelf 61.0 25.0 68.0 22.0 45.0(C<strong>on</strong>td.)RS 97


82 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.22 : (C<strong>on</strong>td.)Provisi<strong>on</strong> <strong>of</strong> work N<strong>on</strong>e 10.0 9.0 4.0 5.5Only husband/ 2.0 3.8 10.0 3.9othersAl<strong>on</strong>g with 40.0 70.0 3.0 50.0 39.2husband/othermembersSelf 58.0 16.3 88.0 36.0 51.3Unemployment N<strong>on</strong>e 93.0 91.3 95.0 92.0 92.9allowanceOnly husband/ 1.0 3.8 3.0 1.8othersAl<strong>on</strong>g with 3.0 2.5 2.0 1.8husband/othermembersSelf 3.0 2.5 5.0 3.0 3.4Type <strong>of</strong> works N<strong>on</strong>e 5.0 35.0 73.0 79.0 48.7taken up underMGNREGSOnly husband/ 2.5 6.0 2.1othersAl<strong>on</strong>g with 79.0 46.2 1.0 7.0 32.6husband/othermembersSelf 16.0 16.2 26.0 8.0 16.6Mandatory N<strong>on</strong>e 65.0 72.5 70.0 84.0 72.9worksite facilitiesOnly husband/ 1.3 10.0 2.9others(C<strong>on</strong>td.)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 83Table 5.22 : (C<strong>on</strong>td.)Al<strong>on</strong>g with 22.0 8.8 2.0 4.0 9.2husband/other membersSelf 13.0 17.5 28.0 2.0 15.0Social audit N<strong>on</strong>e 45.0 96.3 93.0 94.0 81.3Only husband/ 2.0 0.5othersAl<strong>on</strong>g with 45.0 2.5 1.0 1.0 12.9husband/other membersSelf 10.0 1.3 6.0 3.0 5.3C<strong>on</strong>vergence N<strong>on</strong>e 72.0 85.0 95.0 99.0 87.9<strong>in</strong>itiativesOnly husband/ 2.5 0.5othersAl<strong>on</strong>g with 17.0 2.5 5.0husband/other membersSelf 11.0 10.0 5.0 1.0 6.6It is observed that good number <strong>of</strong> resp<strong>on</strong>dents from all the sampledistricts either by themselves or al<strong>on</strong>g with husband/ other members <strong>in</strong> thefamily approached <strong>of</strong>ficials to get <strong>in</strong>formati<strong>on</strong> <strong>on</strong> the rights and entitlementsunder MGNREGS. It is the same case with issue <strong>of</strong> job cards, open<strong>in</strong>g <strong>of</strong>bank/post <strong>of</strong>fice accounts and provisi<strong>on</strong> <strong>of</strong> work. Unemployment allowanceis <strong>on</strong>e area which is not known to many resp<strong>on</strong>dents and so more than 90per cent resp<strong>on</strong>dents did not approach <strong>of</strong>ficials for any <strong>in</strong>formati<strong>on</strong> <strong>on</strong> thisprovisi<strong>on</strong>. Though it is the citizens who decide the type <strong>of</strong> works to beundertaken <strong>in</strong> MGNREGS through Gram Sabhas, significant number <strong>of</strong>resp<strong>on</strong>dents did not approach the <strong>of</strong>ficials to get <strong>in</strong>formati<strong>on</strong> <strong>on</strong> what typeRS 97


84 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS<strong>of</strong> works to be taken up under MGNREGS. It is an <strong>in</strong>dicati<strong>on</strong> <strong>of</strong> supply-ledrather than demand-driven scheme. Mandatory worksite facilities are theright <strong>of</strong> wage seekers and even <strong>in</strong> this area, more than 65 per cent <strong>of</strong> theresp<strong>on</strong>dents <strong>in</strong> all the sample districts did not approach <strong>of</strong>ficials for<strong>in</strong>formati<strong>on</strong>. Social audit is another grey area where, except <strong>in</strong>Mahaboobnagar <strong>in</strong> other districts is d<strong>on</strong>e as a ritual. Though c<strong>on</strong>vergence<strong>in</strong> MGNREGS is widely canvassed and wherever there is an opportunity theMGNREGS has to c<strong>on</strong>verge with l<strong>in</strong>e departments; still is a low pr<strong>of</strong>ileactivity and more than three-fourths <strong>of</strong> the resp<strong>on</strong>dents <strong>in</strong> all the sampledistricts did not approach <strong>of</strong>ficials for any <strong>in</strong>formati<strong>on</strong> <strong>on</strong> it.Approached Officials <strong>in</strong> Case <strong>of</strong> Difficulties/GrievancesInformati<strong>on</strong> was collected from the resp<strong>on</strong>dents <strong>on</strong> the practices <strong>of</strong>approach<strong>in</strong>g the <strong>of</strong>ficials at the time <strong>of</strong> difficulties and settlement <strong>of</strong>grievances faced by them. These aspects <strong>in</strong>clude: job cards are not given,updat<strong>in</strong>g <strong>of</strong> job cards not d<strong>on</strong>e, bank accounts are not opened, work notgiven with<strong>in</strong> 15 days, wages not paid with<strong>in</strong> 15 days, wages not paid <strong>on</strong> parwith others and persistence <strong>of</strong> any caste or gender discrim<strong>in</strong>ati<strong>on</strong>. Datawere also collected about who had approached the <strong>of</strong>ficials — whether itwas <strong>on</strong>ly self or al<strong>on</strong>g with husband/ other members <strong>of</strong> family or<strong>on</strong>ly husband/ other members <strong>of</strong> family or n<strong>on</strong>e. Details are presented <strong>in</strong>Table 5.23.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 85Table 5.23 : NREGS Workers Approach<strong>in</strong>g Officials <strong>in</strong> Case <strong>of</strong>Difficulties and Grievances(%)Type <strong>of</strong> Resp<strong>on</strong>se StateProblem Andhra Bihar Kerala West TotalPradeshBengalJob cards are Not Applicable 21.0 58.8 92.0 31.0 50.3not givenOnly husband/ 7.5 8.0 3.7othersAl<strong>on</strong>g with 37.0 13.8 1.0 22.0 18.7husband/othermembersSelf 42.0 20.0 7.0 39.0 27.4Updat<strong>in</strong>g <strong>of</strong> Not Applicable 1.0 62.5 89.0 42.0 47.9the job cardis not d<strong>on</strong>eOnly husband/ 3.8 9.0 3.2othersAl<strong>on</strong>g with 21.0 8.8 21.0 12.9husband/othermembersSelf 78.0 25.0 11.0 28.0 36.1Bank accounts Not Applicable 59.0 66.3 89.0 31.0 61.1not openedOnly husband/ 2.5 1.0 12.0 3.9othersAl<strong>on</strong>g with 27.0 12.5 30.0 17.6husband/other membersSelf 14.0 18.8 10.0 27.0 17.4(C<strong>on</strong>td.)RS 97


86 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.23 : (C<strong>on</strong>td.)Work is not Not Applicable 21.0 51.2 91.0 92.0 64.5given with<strong>in</strong>15 daysOnly husband/ 1.2 3.0 1.1othersAl<strong>on</strong>g with 45.0 31.2 2.0 1.0 19.2husband/othermembersSelf 34.0 16.2 7.0 4.0 15.3Wages are Not Applicable 62.0 63.8 84.0 94.0 76.6not paid with<strong>in</strong>15 daysOnly husband/ 1.3 1.0 2.0 1.1othersAl<strong>on</strong>g with 21.0 20.0 3.0 1.0 10.8husband/other membersSelf 17.0 15.0 12.0 3.0 11.6Wages not Not Applicable 55.0 67.5 95.0 95.0 78.7paid <strong>on</strong> parwith othersOnly husband/ 1.3 2.0 0.8othersAl<strong>on</strong>g with 26.0 21.3 2.0 11.8husband/other membersSelf 19.0 10.0 5.0 1.0 8.7(C<strong>on</strong>td.)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 87Table 5.23 : (C<strong>on</strong>td.)Any caste Not Applicable 95.0 98.8 98.0 98.0 97.4discrim<strong>in</strong>ati<strong>on</strong>is observedOnly husband/ 1.0 0.3othersAl<strong>on</strong>g with 2.0 0.5husband/other membersSelf 3.0 1.3 2.0 1.0 1.8Any gender Not Applicable 93.0 93.8 99.0 95.0 95.3discrim<strong>in</strong>ati<strong>on</strong>is observedOnly husband/ 3.0 0.8othersAl<strong>on</strong>g with 1.0 1.3 1.0 0.8husband/other membersSelf 6.0 5.0 1.0 1.0 3.2In the case <strong>of</strong> job cards not given, almost all resp<strong>on</strong>dents except <strong>in</strong>sample resp<strong>on</strong>dents from South 24 Paraganas (8 per cent) and Gaya (7.5per cent), either <strong>on</strong> their own or al<strong>on</strong>g with the husband/other members <strong>of</strong>the family approached the <strong>of</strong>ficials. In Thrissur for almost 92 per cent <strong>of</strong> theresp<strong>on</strong>dents such situati<strong>on</strong> did not arise. Usually updat<strong>in</strong>g <strong>of</strong> job card is notgiven much importance by the wage seekers. In some areas Field Assistant/Rojgar Sevak attend to it promptly and <strong>in</strong> some areas it is not d<strong>on</strong>e regularly.Except <strong>in</strong> Mahaboobnagar, <strong>in</strong> all other sample districts most <strong>of</strong> theresp<strong>on</strong>dents felt it is d<strong>on</strong>e regularly. Where it is not d<strong>on</strong>e regularly also, theresp<strong>on</strong>dents either themselves or al<strong>on</strong>g with the husband/other members<strong>of</strong> the family approached the <strong>of</strong>ficials for updati<strong>on</strong>. Most <strong>of</strong> the resp<strong>on</strong>dentsdid not face problems like not open<strong>in</strong>g <strong>of</strong> sav<strong>in</strong>gs bank accounts, work notgiven with<strong>in</strong> 15 days, wages not paid with<strong>in</strong> 15 days and <strong>on</strong> par withRS 97


88 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSothers, any caste and gender discrim<strong>in</strong>ati<strong>on</strong> observed etc. And whoeverfaced such problems approached <strong>of</strong>ficials without hesitati<strong>on</strong> either bythemselves or with their husband/other family member. In very few cases<strong>on</strong>ly husband/other family member approached <strong>of</strong>ficials <strong>on</strong> behalf <strong>of</strong> theresp<strong>on</strong>dent. It was hearten<strong>in</strong>g to know that a large proporti<strong>on</strong> <strong>of</strong> resp<strong>on</strong>dentsdid not face any difficulty and did not approach (<strong>in</strong> not applicable category)<strong>of</strong>ficials.Participati<strong>on</strong> as Members <strong>in</strong> Different CommitteesAn attempt was made <strong>in</strong> the present study to obta<strong>in</strong> <strong>in</strong>formati<strong>on</strong>about membership particulars <strong>of</strong> the resp<strong>on</strong>dents. It was enquired whetherresp<strong>on</strong>dents are members <strong>in</strong> SHGs, GPs, worker groups, VMCs, social auditcommittees or they themselves mates. It was observed that <strong>in</strong> Thrissurdistrict <strong>of</strong> Kerala maximum number (22 per cent) <strong>of</strong> resp<strong>on</strong>dents are work<strong>in</strong>gas mates; it is <strong>in</strong>significant <strong>in</strong> Gaya district (3.8 per cent), Mahaboobnagar(3 per cent) and South 24 Paraganas (2 per cent). In a few cases, husbandsare work<strong>in</strong>g as mates (eg. Bihar and AP). One cannot expect, apriori, thatall the sample resp<strong>on</strong>dents to work as mates.As discussed earlier, all the resp<strong>on</strong>dents <strong>in</strong> Mahaboobnagar andGaya and about 86 per cent <strong>of</strong> the resp<strong>on</strong>dents <strong>of</strong> Thrissur and 51 per cent<strong>of</strong> the resp<strong>on</strong>dents <strong>of</strong> South 24 Paraganas are the members <strong>in</strong> SHGs. Whenit comes to membership <strong>in</strong> either GP or VMCs and social audit committees,membership <strong>of</strong> resp<strong>on</strong>dents is negligible. Resp<strong>on</strong>dents’ membership <strong>in</strong>workers’ groups is aga<strong>in</strong> encourag<strong>in</strong>g <strong>in</strong> all the sample districts except <strong>in</strong>South 24 Paraganas district <strong>of</strong> West Bengal. Details are given <strong>in</strong> Table 5.24.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 89Table 5.24 : Workers’ Participati<strong>on</strong> <strong>in</strong> Development ActivitiesParticipati<strong>on</strong> asState(%)Andhra Bihar Kerala WestPradeshBengalMate N<strong>on</strong>e 85.0 75.0 77.0 95.0Husband 12.0 21.3 1.0 3.0BothSelf 3.0 3.8 22.0 2.0SHG member N<strong>on</strong>e 12.0 48.0Husband 2.0 1.0Both 3.0 1.3 1.0Self 97.0 98.8 86.0 50.0GP member N<strong>on</strong>e 94.0 77.5 88.0 93.0Husband 3.0 13.8 3.0BothSelf 3.0 8.8 12.0 4.0Worker group member N<strong>on</strong>e 35.0 42.0 95.0Husband 2.0 2.0Both 27.0 17.5 1.0Self 73.0 47.5 55.0 3.0VMC N<strong>on</strong>e 93.0 82.5 96.0 100.0Husband 11.3BothSelf 7.0 6.3 4.0Social audit committee N<strong>on</strong>e 84.0 96.3 93.0 100.0Husband 2.0 1.3BothSelf 16.0 2.5 7.0RS 97


90 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSParticipati<strong>on</strong> for their Rights Under MGNREGSAs MGNREGS is a right-based programme, participati<strong>on</strong> <strong>of</strong> thecommunity <strong>in</strong> true sense is reflected <strong>in</strong> exercis<strong>in</strong>g their rights provided bythe Act. Such acti<strong>on</strong>s can be c<strong>on</strong>strued as measures <strong>of</strong> active participati<strong>on</strong><strong>of</strong> the resp<strong>on</strong>dents. Accord<strong>in</strong>gly, sample workers were asked whether theyhave demanded the entitlement and availed <strong>of</strong> the rights. The aspectsc<strong>on</strong>sidered are demand<strong>in</strong>g the work, unemployment allowance, mandatoryworksite facilities, check<strong>in</strong>g muster rolls at worksite, m<strong>in</strong>imum wages,payment <strong>of</strong> wages with<strong>in</strong> 15 days, object<strong>in</strong>g to use mach<strong>in</strong>ery andengagement <strong>of</strong> c<strong>on</strong>tractors, c<strong>on</strong>duct <strong>of</strong> Gram Sabhas for identificati<strong>on</strong> <strong>of</strong>works, c<strong>on</strong>duct <strong>of</strong> social audit etc. Informati<strong>on</strong> was also gathered about thepers<strong>on</strong>s who had demanded the <strong>of</strong>ficials <strong>in</strong> order to ascerta<strong>in</strong> whetherwomen could participate <strong>in</strong> these events. Such participati<strong>on</strong> is expected tohelp them <strong>in</strong> empower<strong>in</strong>g themselves.It is evident from Table 5.25 that majority <strong>of</strong> the resp<strong>on</strong>dents fromMahaboobnagar and South 24 Paraganas could demand for work either <strong>on</strong>their own or al<strong>on</strong>g with husband/other members <strong>in</strong> the family. Almost allthe resp<strong>on</strong>dents did not know that it is their right to demand unemploymentallowance. Though the resp<strong>on</strong>dents are well aware <strong>of</strong> the mandatory worksitefacilities, <strong>in</strong>terest<strong>in</strong>gly, still they could not demand. Only Mahaboobnagardistrict <strong>of</strong> Andhra Pradesh is excepti<strong>on</strong> where at least 46 per cent resp<strong>on</strong>dentscould exert pressure for these facilities. Even <strong>in</strong> other areas like demand<strong>in</strong>gto check muster rolls at worksite, m<strong>in</strong>imum wages, wages with<strong>in</strong> 15 days,majority <strong>of</strong> resp<strong>on</strong>dents from Mahaboobnagar had demanded. As far asissues like use <strong>of</strong> mach<strong>in</strong>ery, engagement <strong>of</strong> c<strong>on</strong>tractors, c<strong>on</strong>duct <strong>of</strong> gramsabhas for identificati<strong>on</strong> <strong>of</strong> works and c<strong>on</strong>duct <strong>of</strong> social audit, resp<strong>on</strong>dentsfrom all the sample districts drew blank. So, it can be <strong>in</strong>ferred that theresp<strong>on</strong>dents/community are not (yet) well aware <strong>of</strong> their rights and arealso not exercis<strong>in</strong>g their rights <strong>in</strong> true spirit to make the programme moredemand-driven.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 91Table 5.25 : Exercis<strong>in</strong>g the Rights by the Resp<strong>on</strong>dentsActivity Resp<strong>on</strong>se State(%)Andhra Bihar Kerala West TotalPradeshBengal(1) (2) (3) (4) (5) (6) (7)Demanded N<strong>on</strong>e 1.0 66.2 73.0 23.0 39.5provisi<strong>on</strong><strong>of</strong> workOnly husband 1.2 6.0 1.8Al<strong>on</strong>g with 52.0 17.5 2.0 23.0 23.9husband /other membersSelf 47.0 15.0 25.0 48.0 34.7Demanded for N<strong>on</strong>e 92.0 88.8 97.0 95.0 93.4unemploymentallowanceAl<strong>on</strong>g with 2.0 0.5husband /other membersSelf 8.0 11.3 3.0 3.0 6.1Mandatory N<strong>on</strong>e 54.0 72.5 76.0 93.0 73.9facilities thatshould beprovided atthe worksiteOnly husband 1.3 1.0 0.5Al<strong>on</strong>g with 26.0 10.0 1.0 9.2husband /other membersSelf 20.0 16.3 23.0 6.0 16.3(C<strong>on</strong>td.)RS 97


92 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.25 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6) (7)Demanded to N<strong>on</strong>e 18.0 76.2 68.0 91.0 62.6check musterroll at worksiteOnly husband 2.0 0.5Al<strong>on</strong>g with 23.0 7.5 1.0 1.0 8.2husband /other membersSelf 59.0 16.2 31.0 6.0 28.7Demanded N<strong>on</strong>e 78.8 70.0 90.0 58.7m<strong>in</strong>imum wagesOnly husband 1.0 0.3Al<strong>on</strong>g with 23.0 18.8 3.0 1.0 11.1husband /other membersSelf 77.0 2.5 27.0 8.0 30.0Demanded N<strong>on</strong>e 66.2 86.0 96.0 61.8wages if notpaid <strong>in</strong> 15 daysAl<strong>on</strong>g with 18.0 16.2 3.0 2.0 9.5husband /other membersSelf 82.0 17.5 11.0 2.0 28.7Demanded not N<strong>on</strong>e 57.0 97.5 95.0 99.0 86.6to use mach<strong>in</strong>eryOnly husband 1.3 0.3Al<strong>on</strong>g with 19.0 3.0 1.0 6.1husband /other membersSelf 24.0 1.3 2.0 7.1(C<strong>on</strong>td.)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 93Table 5.25 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6) (7)Demanded N<strong>on</strong>e 81.0 85.0 94.0 99.0 90.0not to go forc<strong>on</strong>tractorsOnly husband 3.8 0.8Al<strong>on</strong>g with 1.0 6.3 1.0 1.8husband /other membersSelf 18.0 5.0 6.0 7.4C<strong>on</strong>duct <strong>of</strong> N<strong>on</strong>e 77.0 66.3 80.0 97.0 80.8Gram Sabha foridentificati<strong>on</strong><strong>of</strong> worksOnly husband 1.0 3.8 1.0 1.3Al<strong>on</strong>g with 10.0 16.3 2.0 1.0 6.8husband /other membersSelf 12.0 13.8 17.0 2.0 11.1Social audit to N<strong>on</strong>e 52.0 90.0 97.0 99.0 84.2be c<strong>on</strong>ductedOnly husband 5.0 1.1Al<strong>on</strong>g with 17.0 1.3 4.7husband /other membersSelf 31.0 3.8 3.0 1.0 10.0RS 97


94 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSParticipati<strong>on</strong> <strong>in</strong> Decisi<strong>on</strong>s Relat<strong>in</strong>g to MGNREGSDecisi<strong>on</strong>-mak<strong>in</strong>g is an important <strong>in</strong>dicator <strong>of</strong> (higher order)participati<strong>on</strong>. Participati<strong>on</strong> <strong>in</strong> decisi<strong>on</strong>-mak<strong>in</strong>g process is a means athousehold level as well as community level to achieve benefits s<strong>in</strong>ce it can<strong>of</strong>fer scope to <strong>in</strong>fluence the scheme <strong>in</strong> terms <strong>of</strong> choice <strong>of</strong> works, tim<strong>in</strong>gs,locati<strong>on</strong>, quality etc. So <strong>in</strong> measur<strong>in</strong>g the quality <strong>of</strong> participati<strong>on</strong> decisi<strong>on</strong>mak<strong>in</strong>gaspect is also taken <strong>in</strong>to c<strong>on</strong>siderati<strong>on</strong>. In the present study anattempt was made to analyse the role <strong>of</strong> resp<strong>on</strong>dents <strong>in</strong> decisi<strong>on</strong> mak<strong>in</strong>gperta<strong>in</strong><strong>in</strong>g to MGNREGS. The parameters c<strong>on</strong>sidered are decisi<strong>on</strong> relat<strong>in</strong>gto participati<strong>on</strong> – who should participate <strong>in</strong> MGNREGS work, collecti<strong>on</strong> <strong>of</strong>wages, participati<strong>on</strong> <strong>in</strong> social audit and <strong>in</strong> gram sabha meant for selecti<strong>on</strong><strong>of</strong> work. It was reported that decisi<strong>on</strong>s are collective <strong>in</strong> nature <strong>in</strong> regard toMGNREGS work and collecti<strong>on</strong> <strong>of</strong> wages. Disturb<strong>in</strong>g observati<strong>on</strong> is that <strong>in</strong>South 24 Paraganas and Gaya, <strong>in</strong> almost 15 per cent <strong>of</strong> the cases womenwere excluded from decisi<strong>on</strong> mak<strong>in</strong>g <strong>in</strong> collect<strong>in</strong>g the MGNREGS wageswhich shows that there was no c<strong>on</strong>trol <strong>of</strong> resp<strong>on</strong>dents <strong>on</strong> their own wages<strong>in</strong> these cases. No decisi<strong>on</strong> was taken by the sample households forparticipati<strong>on</strong> <strong>in</strong> social audit, except <strong>in</strong> Mahaboobnagar. In the case <strong>of</strong>Mahaboobnagar district <strong>of</strong> Andhra Pradesh, good number <strong>of</strong> resp<strong>on</strong>dents(25 per cent) decided themselves to participate <strong>in</strong> the social audit andanother 65 per cent resp<strong>on</strong>dents took decisi<strong>on</strong> al<strong>on</strong>g with husband/otherfamily members <strong>in</strong> the family to participate <strong>in</strong> the social audit; <strong>in</strong>deed awelcome sign. Participati<strong>on</strong> <strong>in</strong> Gram Sabhas meant for selecti<strong>on</strong> <strong>of</strong> worksis also a neglected area, s<strong>in</strong>ce more than half <strong>of</strong> the resp<strong>on</strong>dents except<strong>in</strong> Thrissur district, did not take any decisi<strong>on</strong>. It is hearten<strong>in</strong>g to see that<strong>in</strong> Thrissur district 72 per cent <strong>of</strong> the resp<strong>on</strong>dents took decisi<strong>on</strong> bythemselves to participate <strong>in</strong> Gram Sabhas meant for selecti<strong>on</strong> <strong>of</strong> worksunder MGNREGS. It is to be noted that women workers outnumbered maleworkers <strong>in</strong> Kerala <strong>in</strong> this scheme. Details are shown <strong>in</strong> Table 5.26.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 95Table 5.26 : Decisi<strong>on</strong> Makers Regard<strong>in</strong>g MGNREGS ActivitiesDecisi<strong>on</strong> Resp<strong>on</strong>se StateAndhra Bihar Kerala WestPradeshBengalTo go for MGNREGSworkN<strong>on</strong>eTo collect wages N<strong>on</strong>eOnly husband/ 5.0 2.0 14.0others <strong>in</strong> HHAl<strong>on</strong>g with 52.0 56.3 11.0 8.0husband/othermembers <strong>in</strong>the familySelf 48.0 38.8 87.0 78.0Only husband/ 15.0 3.0 16.0others <strong>in</strong> HHAl<strong>on</strong>g with 26.0 43.8 2.0 7.0husband/othermembers <strong>in</strong>the familySelf 74.0 41.3 95.0 77.0To participate N<strong>on</strong>e 8.0 88.8 82.0 84.0<strong>in</strong> social auditOnly husband/ 2.0 1.3others <strong>in</strong> HHAl<strong>on</strong>g with 65.0 5.0 6.0husband/othermembers <strong>in</strong>the familySelf 25.0 5.0 18.0 10.0(%)(C<strong>on</strong>td.)RS 97


96 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTo participate <strong>in</strong> N<strong>on</strong>e 31.0 33.8 19.0 48.0the gram sabhameant forselecti<strong>on</strong> <strong>of</strong> workOnly husband/ 17.0 23.8 2.0 23.0others <strong>in</strong> HHQuality <strong>of</strong> Participati<strong>on</strong>Table 5.23 : (C<strong>on</strong>td.)Al<strong>on</strong>g with 41.0 28.8 7.0 15.0husband/othermembers <strong>in</strong> thefamilySelf 11.0 13.8 72.0 14.0For assess<strong>in</strong>g quality <strong>of</strong> participati<strong>on</strong>, extent <strong>of</strong> <strong>in</strong>volvement <strong>of</strong> womenhas to be c<strong>on</strong>sidered. A pers<strong>on</strong>’s mental and emoti<strong>on</strong>al <strong>in</strong>volvement <strong>in</strong> anactivity is an important factor for captur<strong>in</strong>g the quality <strong>of</strong> participati<strong>on</strong>.Participati<strong>on</strong> generates a feel<strong>in</strong>g <strong>of</strong> resp<strong>on</strong>sibility am<strong>on</strong>g stakeholders whichfurther makes them feel valued, respected and therefore, satisfied. So, <strong>in</strong>the present study the quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong> the resp<strong>on</strong>dents <strong>in</strong> gramsabhas meant for selecti<strong>on</strong> <strong>of</strong> works <strong>in</strong> MGNREGS as well as social auditwas taken <strong>in</strong>to account. Resp<strong>on</strong>ses were collected as to whether theresp<strong>on</strong>dents participated <strong>in</strong> the discussi<strong>on</strong>s or just attended the meet<strong>in</strong>gsor not participated. Results are presented <strong>in</strong> Table 5.27. It can be gleanedthat resp<strong>on</strong>dents’ participati<strong>on</strong> <strong>in</strong> gram sabhas meant for selecti<strong>on</strong> <strong>of</strong> worksis better when compared to their participati<strong>on</strong> <strong>in</strong> social audit. In Thrissur,a good number <strong>of</strong> resp<strong>on</strong>dents (47 per cent) took part <strong>in</strong> the discussi<strong>on</strong>stoo with regard to selecti<strong>on</strong> <strong>of</strong> works. Such resp<strong>on</strong>dents’ percentage did notexceed 25 <strong>in</strong> other sample districts. It is discourag<strong>in</strong>g to note that <strong>in</strong> South24 Paraganas the resp<strong>on</strong>dents who did not participate <strong>in</strong> gram sabhasmeant for selecti<strong>on</strong> <strong>of</strong> works is as high as 71 per cent. When it comes tosocial audit, except <strong>in</strong> Mahaboobnagar, more than 80 per cent <strong>of</strong> the sampleresp<strong>on</strong>dents did not attend. In Mahaboobnagar also 77 per cent <strong>of</strong> theRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 97resp<strong>on</strong>dents just attended the social audit meet<strong>in</strong>g whereas 13 per centparticipated <strong>in</strong> the discussi<strong>on</strong>s too. The number <strong>of</strong> resp<strong>on</strong>dents whoparticipated <strong>in</strong> the discussi<strong>on</strong>s <strong>of</strong> social audit <strong>in</strong> other sample districts isvery low with 9 per cent <strong>in</strong> Thrissur district and <strong>on</strong>ly 2 per cent <strong>in</strong> South 24Paraganas district and nil <strong>in</strong> Gaya district.Table 5.27 : Quality <strong>of</strong> Participati<strong>on</strong>StateActivity Resp<strong>on</strong>se Andhra Bihar Kerala WestPradeshBengalSelecti<strong>on</strong> <strong>of</strong> work Not participated 48.0 57.0 21.0 71.0Just attended 28.0 21.3 32.0 4.0the meet<strong>in</strong>gParticipated <strong>in</strong> 24.0 21.3 47.0 25.0the discussi<strong>on</strong>sSocial audit Not participated 10.0 90.0 82.0 84.0Just attended 77.0 10.0 9.0 14.0the meet<strong>in</strong>gParticipated <strong>in</strong> 13.0 0.0 9.0 2.0the discussi<strong>on</strong>sRS 97


98 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSGraphical representati<strong>on</strong> <strong>of</strong> all the types <strong>of</strong> participati<strong>on</strong> <strong>in</strong> the studyarea is shown <strong>in</strong> Fig.17.MembersOverall Score <strong>of</strong> Participati<strong>on</strong>Scor<strong>in</strong>g has been d<strong>on</strong>e (Technical note- annexure-I) to all the abovementi<strong>on</strong>ed aspects <strong>of</strong> participati<strong>on</strong> and overall score is derived. Overallscore ranged from 33.5 per cent (South 24 Paraganas district <strong>of</strong> West Bengal)to 43.6 per cent (Thrissur district <strong>of</strong> Kerala). Details are presented <strong>in</strong> Fig.18.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 99Participati<strong>on</strong> and Awareness Scores Across Socio-ec<strong>on</strong>omic Pr<strong>of</strong>iles <strong>of</strong>the Resp<strong>on</strong>dentsAwareness and Participati<strong>on</strong> Scores State-wiseAwareness and participati<strong>on</strong> scores were compared across the sampledistricts and it is found that <strong>in</strong> all the sample districts, awareness scoresare low <strong>in</strong> comparis<strong>on</strong> with the participati<strong>on</strong> scores. This implies that withoutawareness, some <strong>of</strong> the women workers participated <strong>in</strong> the scheme as(passive) workers. In Gaya district and South 24 Paraganas district, the gapbetween the two scores is wider and <strong>in</strong> Mahaboobnagar district the gap ism<strong>in</strong>imal <strong>in</strong>dicat<strong>in</strong>g high levels <strong>of</strong> awareness <strong>in</strong> comparis<strong>on</strong> with other twosample districts <strong>of</strong> Gaya and South 24 Paraganas. On the whole, both thescores are highest <strong>in</strong> Mahaboobnagar district followed by Thrissur district.Awareness and Participati<strong>on</strong> Across the Caste GroupsCaste plays a very <strong>in</strong>fluential role <strong>in</strong> the present day society.Therefore, comparis<strong>on</strong> <strong>of</strong> the awareness and participati<strong>on</strong> scores castewisehas been made. The results do reveal a positive but weak associati<strong>on</strong>between awareness and participati<strong>on</strong> scores across caste groups. The scoresare slightly higher for OBC followed by m<strong>in</strong>orities, SCs, OCs and then lastfor STs. Details are given <strong>in</strong> Fig.20.RS 97


100 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSParticipati<strong>on</strong> and Educati<strong>on</strong>Educati<strong>on</strong> has ceteris paribus, significant <strong>in</strong>fluence <strong>on</strong> awareness aswell as participati<strong>on</strong> <strong>of</strong> the stakeholders. The awareness and participati<strong>on</strong>scores <strong>of</strong> the resp<strong>on</strong>dents are <strong>in</strong>creas<strong>in</strong>g with level <strong>of</strong> educati<strong>on</strong>. Bothawareness scores as well as participati<strong>on</strong> scores <strong>in</strong>creased as educati<strong>on</strong>level <strong>in</strong>creased. On the whole, it can be c<strong>on</strong>cluded that awareness andparticipati<strong>on</strong> are by educati<strong>on</strong> levels <strong>of</strong> the participants.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 101Awareness and Participati<strong>on</strong> Scores Across the Status <strong>of</strong> <strong>Women</strong>Awareness as well as participati<strong>on</strong> scores are the least for s<strong>in</strong>glewomen who are deserted and divorced but it is not the case with widowedwomen whose awareness score is low while participati<strong>on</strong> score is high. Onthe c<strong>on</strong>trary, for unmarried women awareness score is the least andparticipati<strong>on</strong> score is the highest. For married women both the awarenessas well as participati<strong>on</strong> scores are at higher level. From the data it may be<strong>in</strong>ferred that married women and <strong>in</strong> case <strong>of</strong> few widowed women, wherethey have family members’ support, they could fare well <strong>in</strong> both awarenessand participati<strong>on</strong>. In case <strong>of</strong> deserted as well as divorced women lack <strong>of</strong>any support from other members <strong>of</strong> family led to low scores <strong>in</strong> bothawareness as well as participati<strong>on</strong>. Unmarried women who are MGNREGSworkers do not have good educati<strong>on</strong> but are <strong>in</strong> dire need <strong>of</strong> employment soparticipati<strong>on</strong> is high but awareness is low.RS 97


102 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSAwareness and Participati<strong>on</strong> Across Occupati<strong>on</strong> GroupsIt is observed from the data that most <strong>of</strong> the resp<strong>on</strong>dents are fromoccupati<strong>on</strong>s such as agricultute labour, n<strong>on</strong>-agriculture labour, cultivatorsand others who <strong>in</strong>clude artisans, bus<strong>in</strong>ess people and people who are <strong>in</strong>service. It was found that awareness and participati<strong>on</strong> scores are high foragriculture labourers followed by cultivators and then n<strong>on</strong>-agriculturelabourers. In all the cases, awareness scores are lower compared toparticipati<strong>on</strong> scores. It is to be noted that <strong>in</strong> areas where awareness levelsare low (unemployment allowance, social audit), participati<strong>on</strong> levels areequally low; an <strong>in</strong>dicati<strong>on</strong> <strong>of</strong> c<strong>on</strong>sistency. Such scenario suggests that moreefforts have to be made to <strong>in</strong>crease the awareness levels <strong>of</strong> women workersto make NREGS a really rights-based <strong>on</strong>e at field level.Awareness and Participati<strong>on</strong> Scores Across Income GroupsEc<strong>on</strong>omic status <strong>of</strong> the stakeholders always have an impact <strong>on</strong> theprogramme related parameters. In the present study too there is a clearassociati<strong>on</strong> between <strong>in</strong>come levels and awareness and participati<strong>on</strong> scores.Both awareness and participati<strong>on</strong> scores have shown ris<strong>in</strong>g trend withRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 103<strong>in</strong>creases <strong>in</strong> <strong>in</strong>come levels <strong>of</strong> the resp<strong>on</strong>dents uptil certa<strong>in</strong> level. In thecurrent study, both the scores registered a fall as <strong>on</strong>ce <strong>in</strong>comes <strong>of</strong> householdsg<strong>on</strong>e bey<strong>on</strong>d ` 32000. It can be assumed that the set <strong>of</strong> resp<strong>on</strong>dents wh<strong>of</strong>all <strong>in</strong> this category may not be more vulnerable and may not be keen toseek MGNREGS employment.Awareness and Participati<strong>on</strong> Scores and Membership <strong>in</strong> SHGsStudies have shown that ‘social capital’ is a key c<strong>on</strong>tribut<strong>in</strong>g factorfor development. In the study districts, SHG is <strong>on</strong>e <strong>of</strong> the ma<strong>in</strong> sources forthe poor women besides the caste associati<strong>on</strong>s. Awareness and participati<strong>on</strong>levels am<strong>on</strong>g women for both the members <strong>of</strong> SHGs and n<strong>on</strong>-memberswere worked out separately. It was found that awareness and participati<strong>on</strong>scores were higher for SHG members <strong>in</strong> comparis<strong>on</strong> with n<strong>on</strong>-SHG members.Awareness scores have g<strong>on</strong>e up by almost less than the 18 percentagepo<strong>in</strong>ts due to SHG membership. The corresp<strong>on</strong>d<strong>in</strong>g <strong>in</strong>crease <strong>in</strong> participati<strong>on</strong>score is about the percentage po<strong>in</strong>ts. To what extent the quality <strong>of</strong> SHGfuncti<strong>on</strong><strong>in</strong>g <strong>in</strong>fluences the quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGSneed to be exam<strong>in</strong>ed. Details can be observed from Fig.25.RS 97


104 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSNumber <strong>of</strong> Work<strong>in</strong>g Days and Awareness and Participati<strong>on</strong> ScoresAwareness and participati<strong>on</strong> scores are calculated across the number<strong>of</strong> days <strong>of</strong> MGNREGS employment provided to the sample resp<strong>on</strong>dents.There is a significant corelati<strong>on</strong> between both the scores and the number<strong>of</strong> days <strong>of</strong> employment under MGNREGS and the relati<strong>on</strong>ships are n<strong>on</strong>l<strong>in</strong>ear.Awareness as well as participati<strong>on</strong> scores <strong>in</strong>creased with <strong>in</strong>crease <strong>in</strong>number days <strong>of</strong> employment. But surpris<strong>in</strong>gly both the scores decreased forthe resp<strong>on</strong>dents who worked for more than 80 days. It is <strong>in</strong>ferred that with<strong>in</strong>crease <strong>in</strong> awareness and participati<strong>on</strong> levels, people could obta<strong>in</strong> morenumber <strong>of</strong> days <strong>of</strong> work <strong>in</strong> MGNREGS.<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong><strong>Factors</strong> such as culture, history, government policy, and social,political, and ec<strong>on</strong>omic structures <strong>in</strong>fluence participati<strong>on</strong>. Individual andgroup motivators appear to be c<strong>on</strong>text-specific and locality-bound ratherthan universally-def<strong>in</strong>able.There is a wide range <strong>of</strong> factors that could h<strong>in</strong>der and c<strong>on</strong>stra<strong>in</strong>promoti<strong>on</strong> <strong>of</strong> participati<strong>on</strong>, and these <strong>of</strong>ten lead to the emergence <strong>of</strong> n<strong>on</strong>participati<strong>on</strong>.Such obstacles prohibit<strong>in</strong>g participati<strong>on</strong> abound : they rangefrom <strong>in</strong>stituti<strong>on</strong>al, socio-cultural, technical, logistical, and are spread overRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 105a seem<strong>in</strong>gly-endless spectrum. <strong>Factors</strong> facilitat<strong>in</strong>g or h<strong>in</strong>der<strong>in</strong>g are also‘external’, ‘<strong>in</strong>ternal’, and / or a comb<strong>in</strong>ati<strong>on</strong> <strong>of</strong> both. ‘External obstacles’refer to those factors outside the end-beneficiary that encourage or <strong>in</strong>hibitor prevent true participati<strong>on</strong> tak<strong>in</strong>g place. External obstacles suggest therole <strong>of</strong> development pr<strong>of</strong>essi<strong>on</strong>als, the broader government orientati<strong>on</strong>towards promot<strong>in</strong>g participati<strong>on</strong>, the tendency am<strong>on</strong>g development agenciesto apply their strategies and approaches to encourage participati<strong>on</strong>. Internalobstacles refer to c<strong>on</strong>flict with<strong>in</strong> a household and a lack <strong>of</strong> <strong>in</strong>terest <strong>in</strong>gett<strong>in</strong>g <strong>in</strong>volved.There is no ‘magic list’ <strong>of</strong> critical factors for participati<strong>on</strong> <strong>of</strong> women<strong>in</strong> MGNREGS. So an attempt was made to list out the factors that motivateand h<strong>in</strong>der women participati<strong>on</strong>. Based up<strong>on</strong> the resp<strong>on</strong>ses the factorswere identified and divided as vulnerability, motivat<strong>in</strong>g and h<strong>in</strong>der<strong>in</strong>g factors.<strong>Factors</strong> like characteristics <strong>of</strong> a pers<strong>on</strong> (such as lack <strong>of</strong> skill, literacy),a situati<strong>on</strong> (such as drought), or a pers<strong>on</strong>’s envir<strong>on</strong>ment (such as familymembers’ ill-health) that force a pers<strong>on</strong> to participate though not really<strong>in</strong>terested are c<strong>on</strong>sidered as vulnerability factors. It was observed that<strong>in</strong>sufficient agriculture work was <strong>on</strong>e such factor because <strong>of</strong> which 51.8 percent resp<strong>on</strong>dents were compelled to work <strong>in</strong> MGNREGS. Such cases arehigh <strong>in</strong> Gaya district and drought-pr<strong>on</strong>e district <strong>of</strong> Mahaboobnagar andRS 97


106 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSThrissur district. Distress migrati<strong>on</strong> is another vulnerable factor mak<strong>in</strong>g theresp<strong>on</strong>dents take part <strong>in</strong> NREGS work <strong>in</strong> Gaya and Mahaboobnagar districts.Lack <strong>of</strong> skills to do other works also force the community towards MGNREGSand such cases are reportedly high <strong>in</strong> Gaya district (61.3 per cent) followedby Thrissur district (54 per cent) and Mahaboobnagar district (49 per cent).Other factors listed out are poverty, unemployment, debts, b<strong>on</strong>ded labour,health problems <strong>of</strong> other members <strong>in</strong> the family etc. Details are presented<strong>in</strong> Table 23. It is clear from this Table, that sample resp<strong>on</strong>dents <strong>of</strong>Mahaboobnagar and Gaya (drought-pr<strong>on</strong>e areas) are more vulnerable toseveral factors compared to Thrissur and South 24 Paraganas. Prom<strong>in</strong>entam<strong>on</strong>g them are <strong>in</strong>sufficient work <strong>in</strong> agriculture, lack <strong>of</strong> c<strong>on</strong>t<strong>in</strong>uous work,lack <strong>of</strong> skills and drought c<strong>on</strong>diti<strong>on</strong>s. These c<strong>on</strong>firm the relevance <strong>of</strong>MGNREGS <strong>in</strong> the study area and also other flagship programmes.Table 5.28 : Vulnerability <strong>Factors</strong> Resp<strong>on</strong>sible for Participati<strong>on</strong> <strong>in</strong> NREGSStateAndhra Bihar Kerala West TotalPradeshBengal1 No sufficient 50.0 78.8 48.0 36.0 51.8agriculture activity2 Low market wages 41.0 60.0 4.0 18.0 29.23 Migrati<strong>on</strong> 27.0 32.5 8.0 16.14 Illiteracy 52.0 71.3 15.0 22.0 38.45 Lack <strong>of</strong> skills 49.0 61.3 54.0 27.0 47.16 Flood 3.8 2.0 1.37 Drought 57.0 62.5 2.0 28.78 Lack <strong>of</strong> c<strong>on</strong>t<strong>in</strong>uous work 50.0 75.0 37.0 36.0 48.29 Other factors (if any)* 10.0 8.6 7.0 11.0 4.3* Poverty, unemployment, debts, b<strong>on</strong>ded labour, health problems toothers <strong>in</strong> the family etc.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 107Motivat<strong>in</strong>g <strong>Factors</strong>There are few factors which encourage and motivate resp<strong>on</strong>dents toparticipate <strong>in</strong> MGNREGS. Such factors are listed and out <strong>of</strong> them supportfrom family (70 per cent), group arrangement (64.7 per cent) and equalwages (61.3 per cent) are ranked high. SHG membership is also <strong>on</strong>e factorby which the resp<strong>on</strong>dents came to know the benefits <strong>of</strong> MGNREGS andparticipated <strong>in</strong> it. The other factors which motivated resp<strong>on</strong>dents toparticipate are m<strong>in</strong>imum wages, timely wages, work taken up <strong>in</strong> their ownland, higher than market wages, <strong>in</strong>stituti<strong>on</strong>al payment, worksite facilities,timely employment, sensitivity <strong>of</strong> <strong>of</strong>ficials etc. Many <strong>of</strong> the resp<strong>on</strong>dents feltthat MGNREGS work is like a government work for life time and enjoyeddignity <strong>in</strong> do<strong>in</strong>g it. There are <strong>in</strong>terstate variati<strong>on</strong>s and details are presented<strong>in</strong> Table 5.29.H<strong>in</strong>der<strong>in</strong>g <strong>Factors</strong>There are few factors which act as c<strong>on</strong>stra<strong>in</strong>ts or obstacles for theresp<strong>on</strong>dents to participate <strong>in</strong> MGNREGS even though they are will<strong>in</strong>g towork. Out <strong>of</strong> such factors, untimely employment (46.8 per cent), delayedpayments (44.7 per cent), health problems (34.5 per cent) rigid tim<strong>in</strong>gs(33.7 per cent) etc. are major <strong>on</strong>es. Others are like household work load,own agricultural works, wages less than market wages, unequal wages,gender and caste discrim<strong>in</strong>ati<strong>on</strong>, harassment at worksite, <strong>in</strong>sensitivity <strong>of</strong><strong>of</strong>ficials, problems <strong>in</strong> gett<strong>in</strong>g employment, <strong>of</strong>ficials not able to provideemployment, lack <strong>of</strong> mandatory worksite facilities, hard work and distanceto worksite etc. There are <strong>in</strong>ter-state variati<strong>on</strong>s <strong>in</strong> the resp<strong>on</strong>se pattern. InGaya district delayed payments and untimely employment are reported bymore than 80 per cent resp<strong>on</strong>dents and these are the major h<strong>in</strong>der<strong>in</strong>gfactors even <strong>in</strong> South 24 Paraganas district. In Thrissur district wages lessRS 97


108 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSTable 5.29 : <strong>Factors</strong> Motivat<strong>in</strong>g <strong>Women</strong>’s Participati<strong>on</strong> <strong>in</strong> MGNREGSState<strong>Factors</strong> Andhra Bihar Kerala West TotalPradeshBengal1 M<strong>in</strong>imum wages 81.0 70.0 51.0 34.0 58.42 Timely wages 81.0 31.2 58.0 15.0 47.13 Work taken up <strong>on</strong> 78.0 5.0 19.0 8.0 28.7their own land4 Assets created which 81.0 16.2 45.0 11.0 39.5are beneficial5 Support from family 77.0 83.8 71.0 51.0 70.06 Higher MGNREGS wages 75.0 48.8 15.0 12.0 37.1than market wages7 Equal wages 75.0 38.8 58.0 69.0 61.38 Group arrangement 80.0 76.2 92.0 13.0 64.79 Mode <strong>of</strong> payment 80.0 31.2 88.0 29.0 58.410 Worksite facilities 81.0 16.2 59.0 16.0 44.511 Attitude/sensitivity 81.0 18.8 48.0 10.0 40.5<strong>of</strong> <strong>of</strong>ficials12 Timely employment 81.0 27.5 40.0 9.0 40.013 SHG membership 79.0 86.2 65.0 20.0 61.314 Local NGOs’ encouragement 30.0 47.5 9.0 6.0 21.815 Self-esteem/self-dignity 55.0 57.5 80.0 5.0 48.9Other factors (if any)* 0.0 7.4 2.0 2.0 2.8* life time programme.(%)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 109than market wages is <strong>on</strong>e major factor which h<strong>in</strong>ders participati<strong>on</strong> <strong>of</strong> women<strong>in</strong> MGNREGS. In Mahaboobnagar district, household work load and ownagricultural works are the major c<strong>on</strong>stra<strong>in</strong>ts for women to participate <strong>in</strong>MGNREGS. Details are presented <strong>in</strong> Table 5.30.Table 5.30 : <strong>Factors</strong> H<strong>in</strong>der<strong>in</strong>g <strong>Women</strong>’s Participati<strong>on</strong> <strong>in</strong> MGNREGS –Endorsement by Resp<strong>on</strong>dents<strong>Factors</strong>State(%)Andhra Bihar Kerala West TotalPradeshBengal1 Household work load 46.0 2.5 5.0 1.0 14.22 Own agriculture works 46.0 2.5 5.0 1.0 14.23 Health problems 40.0 33.8 43.0 21.0 34.54 Delayed payment 11.0 88.8 14.0 74.0 44.75 Untimely employment 27.0 82.5 16.0 69.0 46.86 Lower than market wages 19.0 28.8 54.0 24.0 31.67 Unequal wages 4.0 8.8 8.0 8.0 7.18 Group arrangement 16.0 35.0 2.0 6.0 13.79 Gender & caste discrim<strong>in</strong>ati<strong>on</strong> 4.0 10.0 9.0 5.510 Harassment at worksite 4.0 23.8 1.0 8.0 8.411 Attitude <strong>of</strong> <strong>of</strong>ficials 2.0 47.5 1.0 19.0 15.812 Problems <strong>in</strong> gett<strong>in</strong>g employment 15.0 75.0 15.0 47.0 36.113 Rigid tim<strong>in</strong>gs 44.0 53.8 27.0 14.0 33.7Other factors (if any)* 10.1 7.0 4.1* not able to provide c<strong>on</strong>t<strong>in</strong>uous work, lack <strong>of</strong> mandatory facilities,hard work, distance for the worksite etc.RS 97


110 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSThe figure depict<strong>in</strong>g all the three types <strong>of</strong> factors resp<strong>on</strong>sible forparticipati<strong>on</strong> / low participati<strong>on</strong> is presented below (Fig.27). It can be <strong>in</strong>ferredthat <strong>in</strong> Mahaboobnagar district and Thrissur district, motivat<strong>in</strong>g factorsplayed a major role for participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGS, whereas <strong>in</strong>Gaya district <strong>of</strong> Bihar it is because <strong>of</strong> the vulnerable factors that womenare compelled to participate. Though both vulnerable and motivat<strong>in</strong>g factorsare resp<strong>on</strong>sible for participati<strong>on</strong> <strong>of</strong> resp<strong>on</strong>dents <strong>in</strong> South 24 Paraganasdistrict and Gaya, it is equally pulled by de-motivat<strong>in</strong>g factors and soparticipati<strong>on</strong> levels are low here. So there is a dire need to m<strong>in</strong>imise demotivat<strong>in</strong>gfactors and to encourage participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> South 24Paraganas district <strong>of</strong> West Bengal and Gaya district <strong>of</strong> Bihar.Outcomes <strong>of</strong> Participati<strong>on</strong> <strong>in</strong> MGNREGSOutcomes assessment <strong>of</strong> participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGS is asystematic process to f<strong>in</strong>d out the extent to which the objectives <strong>of</strong> theprogramme are achieved and also the likely impact <strong>on</strong> the ec<strong>on</strong>omic, socialand psychological spheres relat<strong>in</strong>g to women. The outcomes <strong>of</strong> womenparticipati<strong>on</strong> <strong>in</strong> MGNREGS are assessed <strong>in</strong> terms <strong>of</strong> improvement <strong>in</strong> thequality <strong>of</strong> life (like <strong>in</strong>comes, food, cloth<strong>in</strong>g, health, educati<strong>on</strong>, hous<strong>in</strong>g etc.)and changes with<strong>in</strong> and outside envir<strong>on</strong>ment <strong>of</strong> women.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 111The qualitative resp<strong>on</strong>ses <strong>of</strong> the changes <strong>in</strong> the <strong>in</strong>come levels,expenditure <strong>on</strong> food, cloth<strong>in</strong>g, health, educati<strong>on</strong> and hous<strong>in</strong>g were collected<strong>in</strong> terms <strong>of</strong> – no change, change to some extent and change to a largeextent.More than 70 per cent <strong>of</strong> the resp<strong>on</strong>dents reported that <strong>in</strong>comelevels have changed to some extent <strong>in</strong> almost all sample districts. In Gayadistrict <strong>of</strong> Bihar and South 24 Paraganas district <strong>of</strong> West Bengal, 22.5 and29 per cent <strong>of</strong> the resp<strong>on</strong>dents, respectively <strong>in</strong>formed that there was nochange <strong>in</strong> the <strong>in</strong>come levels because <strong>of</strong> MGNREGS. On the c<strong>on</strong>trary, <strong>in</strong>Mahaboobnagar district <strong>of</strong> Andhra Pradesh and Thrissur district <strong>of</strong> Kerala26 and 21 per cent resp<strong>on</strong>dents, respectively felt that the change <strong>in</strong> <strong>in</strong>comelevels was to a large extent because <strong>of</strong> MGNREGS; and such percentagewas very low and less than 1.2 per cent <strong>in</strong> other two sample districts <strong>of</strong>Bihar and West Bengal.In all the other parameters majority <strong>of</strong> the resp<strong>on</strong>dents reportedchange to some extent, with variati<strong>on</strong>s across the sample districts. In Gayadistrict, major change was reported <strong>in</strong> respect <strong>of</strong> household <strong>in</strong>come and thequantity and quality <strong>of</strong> food <strong>in</strong>take followed by expenditure <strong>on</strong> cloth<strong>in</strong>g,health and educati<strong>on</strong>. Very m<strong>in</strong>imal changes took place <strong>in</strong> the area <strong>of</strong>hous<strong>in</strong>g. Similar trend was observed <strong>in</strong> other two sample districts <strong>of</strong> Thrissurdistrict and South 24 Paraganas district with vary<strong>in</strong>g degrees <strong>of</strong> change. ButRS 97


112 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSwhen it comes to Mahaboobnagar district <strong>on</strong> almost all parameters, changeshave occurred to some extent. The <strong>in</strong>tensity <strong>of</strong> change is high <strong>in</strong>Mahaboobnagar district <strong>of</strong> Andhra Pradesh and low <strong>in</strong> South 24 Paraganasdistrict <strong>of</strong> West Bengal.An attempt was made to capture the change that took placeregard<strong>in</strong>g the quality <strong>of</strong> liv<strong>in</strong>g by assign<strong>in</strong>g scores <strong>of</strong> 0,1 and 2, respectivelyfor ‘no change’, ‘change to some extent’ and ‘change to large extent’ andpresented <strong>in</strong> Fig.28. At the aggregate level, the weight average score<strong>in</strong>dicat<strong>in</strong>g the extent <strong>of</strong> change that took place is 35.9 percentage po<strong>in</strong>ts.It varied between 56.6 per cent <strong>in</strong> Mahaboobnagar district <strong>of</strong> Andhra Pradeshand 18.1 per cent <strong>in</strong> South 24 Paraganas district <strong>of</strong> West Bengal. Theaverage change <strong>in</strong> Thrissur district <strong>of</strong> Kerala accounted for 38.9 per centand <strong>in</strong> Gaya district <strong>of</strong> Bihar for 28.4 per cent. Details are presented <strong>in</strong>Table 5.31.Table 5.31 : Quality <strong>of</strong> LifeQuality <strong>of</strong> LifeStateAndhra Bihar Kerala West TotalPradeshBengalIncome levels No change 22.5 8.0 29.0 14.5Change to 74.0 76.2 71.0 70.0 72.6some extentChange to 26.0 1.2 21.0 1.0 12.9large extentFood No change 1.0 26.2 28.0 50.0 26.3Change to 85.0 73.8 55.0 49.0 65.3some extentChange to 14.0 17.0 1.0 8.4large extent(C<strong>on</strong>td.)RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 113Table 5.31 : (C<strong>on</strong>td.)Cloth<strong>in</strong>g No change 3.0 52.5 34.0 54.0 35.0Change to 78.0 46.2 52.0 45.0 55.8some extentChange to 19.0 1.2 14.0 1.0 9.2large extentHealth No change 3.0 47.5 43.0 82.0 43.7Change to 88.0 48.8 46.0 16.0 49.7some extentChange to 9.0 3.8 11.0 2.0 6.6large extentEducati<strong>on</strong> No change 2.0 50.0 47.0 81.0 44.7Change to 87.0 46.2 41.0 18.0 48.2some extentChange to 11.0 3.8 12.0 1.0 7.1large extentHous<strong>in</strong>g No change 1.0 72.5 61.0 94.0 56.3Change to 89.0 25.0 26.0 5.0 36.8some extentChange to 10.0 2.5 13.0 1.0 6.8large extentChange <strong>in</strong> Other Areas With<strong>in</strong> and Outside Envir<strong>on</strong>ment <strong>of</strong> <strong>Women</strong> Due toParticipati<strong>on</strong> <strong>in</strong> MGNREGSAny development programme will impact not <strong>on</strong>ly the quality <strong>of</strong>liv<strong>in</strong>g <strong>of</strong> the beneficiary but also the factors c<strong>on</strong>tribut<strong>in</strong>g to the empowermentwith<strong>in</strong> and outside the envir<strong>on</strong>ment women deal with. Empowermentoutcomes associated with women’s participati<strong>on</strong> may not be directlyassociated with the programme objectives. But quality and processes <strong>of</strong>RS 97


114 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSthe programme plann<strong>in</strong>g and implementati<strong>on</strong> are am<strong>on</strong>g the factors thatcan support change <strong>in</strong> envir<strong>on</strong>ment with<strong>in</strong> and outside for women. AsMGNREGS is a right-based programme, directly and <strong>in</strong>directly leads tochanges <strong>in</strong> the empowerment <strong>of</strong> stakeholders. It is the quality <strong>of</strong> participati<strong>on</strong><strong>of</strong> the women <strong>in</strong> MGNREGS, which impact <strong>on</strong> the rights and entitlementsrelated to them.Few <strong>in</strong>dicators <strong>of</strong> empowerment like leadership qualities, mobilis<strong>in</strong>gskills, negotiati<strong>on</strong> skills, decisi<strong>on</strong> mak<strong>in</strong>g skills, f<strong>in</strong>ancial management skills,resource mobilisati<strong>on</strong>, political participati<strong>on</strong>, mobility, membership <strong>in</strong> VDOs,self-c<strong>on</strong>fidence, competence and self-esteem were measured through a set<strong>of</strong> questi<strong>on</strong>s before participati<strong>on</strong> <strong>in</strong> MGNREGS and at present (Before andAfter Design). The type <strong>of</strong> questi<strong>on</strong>s relate to — whether the resp<strong>on</strong>dentcould ga<strong>in</strong> c<strong>on</strong>fidence to lead, motivate fellow workers, <strong>in</strong>teract freely with<strong>of</strong>ficials; participati<strong>on</strong> <strong>in</strong> decisi<strong>on</strong> mak<strong>in</strong>g <strong>in</strong> household matters andcommunity matters; manage m<strong>on</strong>ey, access government schemes, bankloans etc., seek membership <strong>in</strong> VDOs, participate <strong>in</strong> local electi<strong>on</strong>s, tomove <strong>in</strong>dependently, feel<strong>in</strong>g empowered, feel<strong>in</strong>g (self) c<strong>on</strong>fident, competentand self-esteem etc. Us<strong>in</strong>g a three-po<strong>in</strong>t scale changes <strong>in</strong> behavioural andpsychological factors were measured.It was <strong>in</strong>dicated that before participati<strong>on</strong> <strong>in</strong> MGNREGS, most <strong>of</strong> theresp<strong>on</strong>dents <strong>in</strong> the sample districts <strong>of</strong> South 24 Paraganas, Gaya and Thrissurwere not c<strong>on</strong>fident to lead and motivate fellow workers. Mahaboobnagar isan excepti<strong>on</strong> with 76 per cent resp<strong>on</strong>dents report<strong>in</strong>g that they were c<strong>on</strong>fidentto lead and another 70 per cent had skills to motivate fellow workers tosome extent. But such scenario changed significantly with participati<strong>on</strong> <strong>in</strong>MGNREGS. Now more than half <strong>of</strong> the resp<strong>on</strong>dents <strong>in</strong> the sample districts(South 24 Paraganas, Gaya and Thrissur) ga<strong>in</strong>ed c<strong>on</strong>fidence to lead andalso acquired skills to motivate fellow workers to some extent. InMahaboobnagar district <strong>of</strong> Andhra Pradesh 72 per cent resp<strong>on</strong>dents reportedthat they could ga<strong>in</strong> c<strong>on</strong>fidence to lead and another 67 per cent resp<strong>on</strong>dentsreported that they could ga<strong>in</strong> skills to motivate fellow workers to largeextent after participati<strong>on</strong> <strong>in</strong> MGNREGS.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 115Same trend was observed even <strong>in</strong> respect <strong>of</strong> skills perta<strong>in</strong><strong>in</strong>g t<strong>on</strong>egotiati<strong>on</strong>, where majority <strong>of</strong> the resp<strong>on</strong>dents, except from Mahaboobnagardistrict, could not <strong>in</strong>teract freely with <strong>of</strong>ficials/PRIs before participati<strong>on</strong> <strong>in</strong>MGNREGS and their number substantially <strong>in</strong>creased with participati<strong>on</strong>. Whenit comes to Mahaboobnagar, 60 per cent <strong>of</strong> the resp<strong>on</strong>dents who could, tosome extent, talk freely with <strong>of</strong>ficials/ PRI members before participati<strong>on</strong> <strong>in</strong>MGNREGS but most <strong>of</strong> them now could exercise the skill to a large extent.When it comes to decisi<strong>on</strong> mak<strong>in</strong>g, good number <strong>of</strong> resp<strong>on</strong>dentsfrom all the four sample districts menti<strong>on</strong>ed that they could take decisi<strong>on</strong>sto some extent by decid<strong>in</strong>g themselves <strong>in</strong> the household matters and theirnumber <strong>in</strong>creased substantially after participati<strong>on</strong> <strong>in</strong> MGNREGS. It washearten<strong>in</strong>g to know that except <strong>in</strong> South 24 Paraganas district <strong>of</strong> WestBengal, good number <strong>of</strong> resp<strong>on</strong>dents have taken part <strong>in</strong> household decisi<strong>on</strong>sto large extent, with participati<strong>on</strong> <strong>in</strong> MGNREGS.But such number is low when it came to decisi<strong>on</strong> mak<strong>in</strong>g atcommunity level matters before participati<strong>on</strong> <strong>in</strong> MGNREGS as well as withparticipati<strong>on</strong> <strong>in</strong> MGNREGS. Resp<strong>on</strong>dents from Mahaboobnagar district <strong>of</strong>Andhra Pradesh are better placed while their counterparts from South 24Paraganas have not fared well.Through participati<strong>on</strong> <strong>in</strong> MGNREGS or otherwise also, theresp<strong>on</strong>dents are engaged <strong>in</strong> some work and are earn<strong>in</strong>g some m<strong>on</strong>ey. So anattempt was made to f<strong>in</strong>d out their skills regard<strong>in</strong>g the f<strong>in</strong>ancial managementby ask<strong>in</strong>g the questi<strong>on</strong> whether the resp<strong>on</strong>dents could manage their earn<strong>in</strong>gs(how much to allocate for food, cloth<strong>in</strong>g and other c<strong>on</strong>sumpti<strong>on</strong> needs andhow to manage other expenditure <strong>of</strong> the household). It was found out thataga<strong>in</strong> except <strong>in</strong> Mahaboobnagar district <strong>of</strong> Andhra Pradesh, <strong>in</strong> all othersample districts, majority <strong>of</strong> the resp<strong>on</strong>dents reported nil <strong>in</strong>dicat<strong>in</strong>g low<strong>in</strong>comes or no <strong>in</strong>comes. Their number <strong>in</strong>creased to some extent withparticipati<strong>on</strong> <strong>in</strong> MGNREGS <strong>in</strong>dicat<strong>in</strong>g <strong>on</strong>ce the earn<strong>in</strong>gs <strong>in</strong>crease othermanagement skills also will <strong>in</strong>crease but such <strong>in</strong>crease was low <strong>in</strong> South24 Paraganas district <strong>of</strong> West Bengal may be because <strong>of</strong> the <strong>in</strong>crease <strong>in</strong><strong>in</strong>comes is low.RS 97


116 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSSimilar trend was observed <strong>in</strong> other parameters and major changewas <strong>in</strong>dicated <strong>in</strong> Mahaboobnagar and least change was observed <strong>in</strong> South24 Paraganas. In many cases, very few resp<strong>on</strong>dents could move from ‘nil’category ‘to some extent’ category with participati<strong>on</strong> <strong>in</strong> MGNREGS. Detailscan be seen from Table 5.32.An attempt was made to score the resp<strong>on</strong>ses <strong>of</strong> the resp<strong>on</strong>dents forthe outcomes and the changes that took place with<strong>in</strong> and outside envir<strong>on</strong>ment<strong>of</strong> women due to participati<strong>on</strong> <strong>in</strong> MGNREGS (technical note appended). Theaverage score is 11.9 per cent before participati<strong>on</strong> <strong>in</strong> MGNREGS and<strong>in</strong>creased to 47.4 per cent with participati<strong>on</strong> <strong>in</strong> MGNREGS. Beforeparticipati<strong>on</strong> <strong>in</strong> MGNREGS, the score ranged from 2 per cent <strong>in</strong> South 24Paraganas district <strong>of</strong> West Bengal to 30.2 per cent <strong>in</strong> Mahaboobnagardistrict <strong>of</strong> Andhra Pradesh. The participati<strong>on</strong> <strong>in</strong> MGNREGS facilitated <strong>in</strong>crease<strong>in</strong> the outcomes — score ranged from 18.1 per cent (South 24 Paraganas)to 78 per cent (Mahaboobnagar). Even when it comes to the <strong>in</strong>cremental<strong>in</strong>crease too, it is the highest <strong>in</strong> Mahaboobnagar with 47.8 per cent andleast <strong>in</strong> South 24 Paraganas with 16.1 per cent. Details can be seen fromFigure 29.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 117RS 97Table 5.32 : Change <strong>in</strong> Other Areas With<strong>in</strong> and OutsideEnvir<strong>on</strong>ment <strong>of</strong> <strong>Women</strong> Due to Participati<strong>on</strong> <strong>in</strong> MGNREGS(%)Areas <strong>of</strong> change StateAndhra Bihar Kerala West TotalPradesh Bengal(1) (2) (3) (4) (5) (6) (7) (8)C<strong>on</strong>fidence to lead Before Nil 24.0 91.2 86.0 94.0 72.9Some Extent 76.0 6.2 9.0 6.0 25.3Large Extent 2.5 5.0 1.8Now Nil 22.5 8.0 48.0 19.5Some Extent 28.0 65.0 68.0 51.0 52.4Large Extent 72.0 12.5 24.0 1.0 28.2Motivate fellow workers Before Nil 30.0 98.8 88.0 93.0 76.3Some Extent 70.0 1.2 8.0 7.0 22.6Large Extent 4.0 1.1Now Nil 22.5 17.0 47.0 21.6Some Extent 33.0 66.2 61.0 51.0 52.1Large Extent 67.0 11.2 22.0 2.0 26.3(C<strong>on</strong>td.)


118 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSRS 97Table 5.32 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6) (7) (8)Interact freely with <strong>of</strong>ficials Before Nil 40.0 93.8 87.0 95.0 78.2Some Extent 60.0 2.5 9.0 5.0 20.0Large Extent 3.8 4.0 1.8Now Nil 23.8 8.0 47.0 19.5Some Extent 40.0 65.0 71.0 52.0 56.6Large Extent 60.0 11.2 21.0 1.0 23.9Decide yourself Before Nil 35.0 66.2 71.0 94.0 66.6<strong>in</strong> HH mattersSome Extent 65.0 33.8 23.0 6.0 31.8Large Extent 6.0 1.6Now Nil 11.2 4.0 55.0 17.9Some Extent 34.0 72.5 73.0 45.0 55.3Large Extent 66.0 16.2 23.0 26.8Decide yourself <strong>in</strong> Before Nil 40.0 92.5 84.0 98.0 77.9community mattersSome Extent 60.0 7.5 11.0 2.0 20.8Large Extent 5.0 1.3(C<strong>on</strong>td.)


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 119RS 97Table 5.32 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6) (7) (8)Now Nil 30.0 30.0 69.0 32.4Some Extent 40.0 60.0 55.0 31.0 45.8Large Extent 60.0 10.0 15.0 21.8Started manag<strong>in</strong>g Before Nil 39.0 92.5 82.0 100.0 77.6the m<strong>on</strong>eySome Extent 61.0 7.5 15.0 21.6Large Extent 3.0 0.8Now Nil 21.2 7.0 71.0 25.0Some Extent 39.0 70.0 68.0 29.0 50.5Large Extent 61.0 8.8 25.0 24.5Accessed govt. schemes, Before Nil 41.0 96.2 89.0 100.0 80.8bank loans etc.Some Extent 59.0 3.8 7.0 18.2Large Extent 4.0 1.1Now Nil 32.5 32.0 82.0 36.8Some Extent 41.0 67.5 55.0 17.0 43.9Large Extent 59.0 13.0 1.0 19.2(C<strong>on</strong>td.)


120 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSRS 97Table 5.32 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6) (7) (8)Membership <strong>in</strong> VDO Before Nil 41.0 98.8 91.0 98.0 81.3has <strong>in</strong>creasedSome Extent 59.0 1.2 6.0 1.0 17.6Large Extent 3.0 1.0 1.1Now Nil 12.0 23.8 63.0 92.0 48.9Some Extent 30.0 65.0 30.0 7.0 31.3Large Extent 58.0 11.2 7.0 1.0 19.7Started participat<strong>in</strong>g Before Nil 68.0 88.8 93.0 97.0 86.6<strong>in</strong> local electi<strong>on</strong>sSome Extent 32.0 8.8 3.0 2.0 11.6Large Extent 2.5 4.0 1.0 1.8Now Nil 41.0 33.8 89.0 83.0 63.2Some Extent 27.0 45.0 4.0 16.0 21.8Large Extent 32.0 21.2 7.0 1.0 15.0More powerful Before Nil 41.0 96.2 86.0 96.0 78.9Some Extent 59.0 3.8 11.0 3.0 20.0Large Extent 3.0 1.0 1.1(C<strong>on</strong>td.)


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 121RS 97Table 5.32 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6) (7) (8)Now Nil 1.0 32.5 5.0 67.0 26.1Some Extent 40.0 61.2 84.0 32.0 53.9Large Extent 59.0 6.2 11.0 1.0 20.0Self-C<strong>on</strong>fidence Before Nil 39.0 95.0 82.0 94.0 76.6Some Extent 61.0 5.0 13.0 5.0 21.8Large Extent 5.0 1.0 1.6Now Nil 17.5 5.0 58.0 20.3Some Extent 40.0 63.8 67.0 40.0 52.1Large Extent 60.0 18.8 28.0 2.0 27.6Competence has <strong>in</strong>creased Before Nil 38.0 100.0 84.0 98.0 78.9Some Extent 62.0 11.0 1.0 19.5Large Extent 5.0 1.0 1.6Now Nil 1.0 18.8 5.0 62.0 21.8Some Extent 36.0 76.2 78.0 35.0 55.3Large Extent 63.0 5.0 17.0 3.0 22.9(C<strong>on</strong>td.)


122 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSRS 97Table 5.32 : (C<strong>on</strong>td.)(1) (2) (3) (4) (5) (6) (7) (8)Self-esteem has g<strong>on</strong>e up Before Nil 37.0 97.5 83.0 98.0 77.9Some Extent 63.0 2.5 12.0 1.0 20.5Large Extent 5.0 1.0 1.6Now Nil 20.0 5.0 72.0 24.5Some Extent 37.0 67.5 69.0 26.0 48.9Large Extent 63.0 12.5 26.0 2.0 26.6Started mov<strong>in</strong>g Before Nil 41.0 95.0 76.0 96.0 76.1<strong>in</strong>dependentlySome Extent 59.0 5.0 18.0 3.0 22.1Large Extent 6.0 1.0 1.8Now Nil 2.0 26.2 10.0 58.0 23.9Some Extent 36.0 63.8 63.0 40.0 50.0Large Extent 62.0 10.0 27.0 2.0 26.1


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 123<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Awareness, Participati<strong>on</strong> and Decisi<strong>on</strong>-mak<strong>in</strong>g - StatisticalAnalysisIn the previous secti<strong>on</strong>s, we have exam<strong>in</strong>ed the associati<strong>on</strong>s betweenthe key parameters such as awareness and participati<strong>on</strong> with the socioec<strong>on</strong>omiccharacteristics <strong>of</strong> the resp<strong>on</strong>dents. S<strong>in</strong>ce there is a logical l<strong>in</strong>kbetween the key parameters, we have looked <strong>in</strong>to the significance <strong>of</strong> theserelati<strong>on</strong>ships <strong>in</strong> the c<strong>on</strong>text <strong>of</strong> NREGS with the help <strong>of</strong> regressi<strong>on</strong> technique.The factors <strong>in</strong>fluenc<strong>in</strong>g women workers’ participati<strong>on</strong> <strong>in</strong> household decisi<strong>on</strong>mak<strong>in</strong>gprocess are also analysed.These simple models not <strong>on</strong>ly establish the significance <strong>of</strong> the<strong>in</strong>dependent variables but also the nature <strong>of</strong> impact. To capture the effect<strong>of</strong> qualitative variables like caste and educati<strong>on</strong> level, dummy variableshave been <strong>in</strong>troduced. These exercises would help <strong>in</strong> identify<strong>in</strong>g facilitat<strong>in</strong>gfactors hav<strong>in</strong>g significant effect.<strong>Factors</strong> Influenc<strong>in</strong>g AwarenessAwareness levels about the NREGS, ceteris paribus, are dependentup<strong>on</strong> the social class and educati<strong>on</strong> level <strong>of</strong> the resp<strong>on</strong>dents. While socialclass <strong>in</strong>fluences the access, the level <strong>of</strong> educati<strong>on</strong> c<strong>on</strong>tributes to absorpti<strong>on</strong><strong>of</strong> <strong>in</strong>formati<strong>on</strong>.Awareness about the programme <strong>in</strong> terms <strong>of</strong> rights and entitlements,procedures and grievance redressal system etc., is a critical factor <strong>in</strong>promot<strong>in</strong>g participati<strong>on</strong> and <strong>in</strong> turn reap<strong>in</strong>g benefits from the scheme. Anattempt was made to test whether social factors such as caste and literacylevel could provide explanati<strong>on</strong> to the observed differences <strong>in</strong> awarenessscores across sample households <strong>in</strong> all the four study states. The estimatedregressi<strong>on</strong> equati<strong>on</strong> (with dummy variables, where the suppressed categoriesare SC and Illiteracy) is shown below. (Test for multi co l<strong>in</strong>earity has beencarried out and the problem is not found).RS 97


124 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSFrom regressi<strong>on</strong> equati<strong>on</strong>s (1) and (2), the follow<strong>in</strong>g <strong>in</strong>ferences canbe drawn. Awareness levels are significantly higher am<strong>on</strong>g other backwardcastes compared to those <strong>of</strong> SCs. On the c<strong>on</strong>trary, SCs are better placedvis-à-vis ‘other castes’ <strong>in</strong> regard to awareness about the programme. Thedifferences <strong>in</strong> awareness scores between SCs and STs & M<strong>in</strong>orities are notstatistically significant. Educati<strong>on</strong> levels c<strong>on</strong>tribute significantly to <strong>in</strong>crease<strong>in</strong> awareness scores. So is the case with ‘age’ and ‘social capital’ scores.Further, the analysis po<strong>in</strong>ts out that programme executives should payattenti<strong>on</strong> to strengthen<strong>in</strong>g <strong>of</strong> social capital <strong>of</strong> the NREGS workers.Socio-ec<strong>on</strong>omic status is a composite <strong>in</strong>dex compris<strong>in</strong>g a number <strong>of</strong>socio-ec<strong>on</strong>omic variables (details are presented <strong>in</strong> Technical Note). It alsoturned out to be significant and positively c<strong>on</strong>tributes to awareness score.<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong>‘Participati<strong>on</strong>’ <strong>in</strong> gram sabhas and social audit are very important<strong>in</strong>dicators <strong>of</strong> programme performance. Despite be<strong>in</strong>g rights-based /demandledscheme, the employment days provided per household and utilisati<strong>on</strong><strong>of</strong> funds were well below the expected levels <strong>in</strong> several states. However,access to these benefits is also <strong>in</strong>fluenced by the degree <strong>of</strong> participati<strong>on</strong>.It is hypothesised that social factors such as caste and educati<strong>on</strong> will havesignificant <strong>in</strong>fluence <strong>on</strong> ‘participati<strong>on</strong>’.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 125The regressi<strong>on</strong> equati<strong>on</strong>s (3) and (4) <strong>in</strong>dicate that level <strong>of</strong>participati<strong>on</strong> <strong>of</strong> OBCs was higher than that <strong>of</strong> SCs. On the c<strong>on</strong>trary, theparticipati<strong>on</strong> score, <strong>on</strong> an average was marg<strong>in</strong>ally higher am<strong>on</strong>g OCs visà-visSCs. These differences are significant. In respect <strong>of</strong> educati<strong>on</strong> variable,the participati<strong>on</strong> score was positively and significantly associated with level<strong>of</strong> educati<strong>on</strong>. As expected, social capital is <strong>on</strong>e <strong>of</strong> the key factors <strong>in</strong>fluenc<strong>in</strong>gthe quality <strong>of</strong> participati<strong>on</strong> and development adm<strong>in</strong>istrati<strong>on</strong> should ensurethat the social capital <strong>of</strong> the NREGS workers is enriched. S<strong>in</strong>ce awarenesslevels have significant effect <strong>on</strong> participati<strong>on</strong> scores, the IEC strategiesshould be further ref<strong>in</strong>ed to reach all the secti<strong>on</strong>s.The participati<strong>on</strong>, both <strong>in</strong>cidence and <strong>in</strong>tensity, <strong>of</strong> women workers <strong>in</strong>the entire process (i.e. plann<strong>in</strong>g, implementati<strong>on</strong> and social audit) dependsup<strong>on</strong> several factors; some <strong>of</strong> them facilitate while the others h<strong>in</strong>derparticipati<strong>on</strong>. The role <strong>of</strong> the factors motivat<strong>in</strong>g (Table 5.29) and also thoseh<strong>in</strong>der<strong>in</strong>g (de-motivat<strong>in</strong>g factors) (Table 5.30) was exam<strong>in</strong>ed <strong>in</strong> the earlierchapter. To establish the significance and the effect / c<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> thesetwo types <strong>of</strong> factors to participati<strong>on</strong> score, a regressi<strong>on</strong> model has beenfitted with participati<strong>on</strong> score as dependent variable and the <strong>in</strong>dex <strong>of</strong>motivat<strong>in</strong>g and de-motivat<strong>in</strong>g factors as explanatory variables (see theTechnical Note for details). The model is found to be significant but notcomplete <strong>in</strong> the sense, it could expla<strong>in</strong> hardly 24 per cent <strong>of</strong> variati<strong>on</strong> <strong>in</strong> theparticipati<strong>on</strong> score.RS 97


126 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSFrom the equati<strong>on</strong>, <strong>on</strong>e can <strong>in</strong>fer that if <strong>in</strong>dex <strong>of</strong> motivati<strong>on</strong>al factorsgoes up by 10 po<strong>in</strong>ts, participati<strong>on</strong> score would rise by 14.8, ceteris paribus.Similarly, rise <strong>in</strong> the <strong>in</strong>dex <strong>of</strong> de-motivat<strong>in</strong>g factors by 10 per cent wouldbr<strong>in</strong>g down participati<strong>on</strong> score by 7.2 po<strong>in</strong>ts. The net result would be <strong>in</strong>crease<strong>in</strong> participati<strong>on</strong> score by 7.6 po<strong>in</strong>ts.To capture the effect <strong>of</strong> vulnerability factors, the <strong>in</strong>dex <strong>on</strong>vulnerability factors was <strong>in</strong>cluded as another <strong>in</strong>dependent variable <strong>in</strong> theabove regressi<strong>on</strong> model. The explanatory power has improved marg<strong>in</strong>allyi.e. from 24 to 25 per cent. All the three <strong>in</strong>dependent variables turned outto be significant (at 0.05 per cent level) and bear proper signs. The entireadm<strong>in</strong>istrati<strong>on</strong>, the local community and civil society should take appropriatemeasures to c<strong>on</strong>ta<strong>in</strong> the vulnerability and de-motivat<strong>in</strong>g factors whilec<strong>on</strong>solidat<strong>in</strong>g the factors motivat<strong>in</strong>g women’s participati<strong>on</strong>.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 127From the above regressi<strong>on</strong>s, it can be c<strong>on</strong>cluded that, awarenesslevels are significantly higher am<strong>on</strong>g other backward castes compared tothose <strong>of</strong> SCs but the differences <strong>in</strong> awareness scores between SCs and STs& M<strong>in</strong>orities are not statistically significant. The educati<strong>on</strong> levels, age andsocial capital c<strong>on</strong>tributed significantly to <strong>in</strong>crease <strong>in</strong> awareness scores.The socio-ec<strong>on</strong>omic status also turned out to be significant and positivelyc<strong>on</strong>tributes to awareness score.The level <strong>of</strong> participati<strong>on</strong> <strong>of</strong> OBCs was higher than that <strong>of</strong> SCs.Participati<strong>on</strong> score was positively and significantly associated with level <strong>of</strong>educati<strong>on</strong>. Social capital and awareness levels are also key factors<strong>in</strong>fluenc<strong>in</strong>g the quality <strong>of</strong> participati<strong>on</strong> and have significant effect <strong>on</strong>participati<strong>on</strong> scores. The regressi<strong>on</strong> model tried to know the <strong>in</strong>fluence <strong>of</strong>the factors motivat<strong>in</strong>g and also those h<strong>in</strong>der<strong>in</strong>g participati<strong>on</strong> found to besignificant but not complete <strong>in</strong> the sense, it could expla<strong>in</strong> hardly 24 percent <strong>of</strong> variati<strong>on</strong> <strong>in</strong> participati<strong>on</strong> score.RS 97


128 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSCHAPTER - 6SUMMARY AND CONCLUSIONSSummary <strong>of</strong> F<strong>in</strong>d<strong>in</strong>gsThe Nati<strong>on</strong>al Rural Employment Guarantee Act is a landmark <strong>in</strong>itiative<strong>in</strong> provid<strong>in</strong>g 100 days guaranteed employment. MGNREGA has severalgender-sensitive features that are attractive for women workers. But eventhen the nati<strong>on</strong>al average number <strong>of</strong> days <strong>of</strong> employment <strong>in</strong> MGNREGS isstill less than 50 days and it varies across different regi<strong>on</strong>s and states.Especially participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGS is more passive <strong>in</strong> nature.Implementati<strong>on</strong> processes are key to improve the quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong>marg<strong>in</strong>alised especially poor and women <strong>in</strong> the programme. Acti<strong>on</strong>s towardswomen’s needs, accesses to resources and opportunities, c<strong>on</strong>trol over outputsand outcomes are essential. Nevertheless, NREGA has the potential toenhance women’s ec<strong>on</strong>omic <strong>in</strong>dependence through cash earn<strong>in</strong>gs and socialstatus through participati<strong>on</strong>. However, there is much to be d<strong>on</strong>e <strong>in</strong> achiev<strong>in</strong>ggender equality and sensitivity, which needs a comprehensive perspective. Sothe present study sought to explore, through fieldwork, the reas<strong>on</strong>s beh<strong>in</strong>d,extent and the implicati<strong>on</strong>s <strong>of</strong> women’s participati<strong>on</strong> <strong>in</strong> NREGA <strong>in</strong> selecteddistricts <strong>of</strong> four States, Kerala, West Bengal, Andhra Pradesh and Bihar.ObjectivesThe specific objectives <strong>of</strong> the study are :* To assess the present status <strong>of</strong> women’s participati<strong>on</strong> <strong>in</strong> MahatmaGandhi NREGS <strong>in</strong> all phases;* To analyse the facilitat<strong>in</strong>g as well as h<strong>in</strong>der<strong>in</strong>g factors (socio-culturaland ec<strong>on</strong>omic) for qualitative participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGSand state-specific development programmes affect<strong>in</strong>g women’sparticipati<strong>on</strong>.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 129* To study the <strong>in</strong>fluence <strong>of</strong> social capital and gender sensitivity <strong>of</strong>functi<strong>on</strong>aries <strong>in</strong> MGNREGS <strong>on</strong> participati<strong>on</strong> <strong>of</strong> women wage seekers.Survey <strong>in</strong>struments <strong>in</strong>clude structured schedules for MGNREGSwomen workers, Focused Group Discussi<strong>on</strong>s (FGDs) and <strong>in</strong>terviews with<strong>of</strong>ficials and elected representatives. Informati<strong>on</strong> was collected <strong>on</strong> thesocio-ec<strong>on</strong>omic pr<strong>of</strong>iles, <strong>in</strong>stituti<strong>on</strong>al affiliati<strong>on</strong>, participati<strong>on</strong> <strong>in</strong> womendevelopment programmes and also their participati<strong>on</strong> with regard toMGNREGA like selecti<strong>on</strong> <strong>of</strong> works, m<strong>on</strong>itor<strong>in</strong>g, social audit etc. and benefitsderived out <strong>of</strong> participati<strong>on</strong> with a view to ascerta<strong>in</strong><strong>in</strong>g the qualitativechanges that have taken place <strong>in</strong> women’s life. Village <strong>in</strong>formati<strong>on</strong> wascollected to assess the socio-ec<strong>on</strong>omic c<strong>on</strong>diti<strong>on</strong>s <strong>of</strong> the village <strong>in</strong> whichstudy has been carried out. The focused group discussi<strong>on</strong>s laid emphasis<strong>on</strong> the changes visualised / experienced <strong>in</strong> the quality <strong>of</strong> life. To capturethe reas<strong>on</strong>s for differences across the States, data and also score <strong>of</strong> different<strong>in</strong>dicators were presented sample district-wise.The study was c<strong>on</strong>ducted <strong>in</strong> four districts <strong>of</strong> four States namely,Mahaboobnagar <strong>of</strong> Andhra Pradesh, Thrissur district <strong>of</strong> Kerala, Gaya district<strong>of</strong> Bihar and South 24 Paraganas <strong>of</strong> West Bengal.Socio-ec<strong>on</strong>omic and Demographic Pr<strong>of</strong>iles <strong>of</strong> the Resp<strong>on</strong>dentsMost <strong>of</strong> the women worker resp<strong>on</strong>dents are <strong>in</strong> age group <strong>of</strong> 36-45years followed by 26-35 years. The former c<strong>on</strong>sisted <strong>of</strong> 35.0 per cent andthe latter 30.8 per cent <strong>of</strong> the workers. In other words, 65.8 per cent <strong>of</strong> theMGNREGS workers are <strong>in</strong> the active age group <strong>of</strong> 26-45 years. Scheduledcastes account for more than <strong>on</strong>e half (52.9 per cent) <strong>of</strong> the total workersand the other three major caste groups OBC (17.9 per cent), M<strong>in</strong>orities(13.4 per cent) and OC (10.3 per cent) c<strong>on</strong>stituted nearly 40 per cent <strong>of</strong> thesample. Majority <strong>of</strong> the resp<strong>on</strong>dents, i.e., 56.3 per cent are n<strong>on</strong>-literatesand 26.8 per cent completed their primary educati<strong>on</strong>. Only 7.4 per cent <strong>of</strong>the workers completed sec<strong>on</strong>dary educati<strong>on</strong>. The high proporti<strong>on</strong> <strong>of</strong> workerswith n<strong>on</strong>-literacy is found <strong>in</strong> Gaya district <strong>of</strong> Bihar (93.8 per cent).Resp<strong>on</strong>dents <strong>in</strong> the category <strong>of</strong> high school and above are found <strong>on</strong>ly <strong>in</strong>Thrissur <strong>of</strong> Kerala (36 per cent). Majority <strong>of</strong> the sample workers were marriedRS 97


130 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSwomen (88.2 per cent). The proporti<strong>on</strong> <strong>of</strong> unmarried girls is <strong>on</strong>ly 2.1 percent. The proporti<strong>on</strong> <strong>of</strong> s<strong>in</strong>gle women (widows, divorcee and the deserted)is 9.8 per cent. It can be observed that 88.7 per cent <strong>of</strong> the workers arelabourers and 6.6 per cent are cultivators. The proporti<strong>on</strong> <strong>of</strong> artisans, bus<strong>in</strong>esspeople and resp<strong>on</strong>dents <strong>in</strong> service sector are negligible. Results show thateven cultivators need this programme as an important source <strong>of</strong> livelihood.The average size <strong>of</strong> the sample households ranged from 4.1 (Thrissur <strong>of</strong>Kerala) to 7.4 (Gaya <strong>of</strong> Bihar) and the overall average is 5.2. As aga<strong>in</strong>st theaverage family size <strong>of</strong> 5.2, there are 2.6 earn<strong>in</strong>g members and 2.6dependents. In other words, each earner has to support <strong>on</strong>e dependent.It is observed that 54.5 per cent <strong>of</strong> the resp<strong>on</strong>dents are landless andanother 27.6 per cent <strong>of</strong> the resp<strong>on</strong>dents owned less than <strong>on</strong>e acre <strong>of</strong> land(sub-marg<strong>in</strong>al farmers). Marg<strong>in</strong>al farmers account for 13.9 per cent. Theproporti<strong>on</strong> <strong>of</strong> landless is the highest at about 83 per cent <strong>in</strong> Gaya and South24 Paraganas. It is found that 11.3 per cent resp<strong>on</strong>dents have <strong>in</strong>dividual orjo<strong>in</strong>t ownership <strong>of</strong> the land.Annual <strong>in</strong>come <strong>of</strong> the sample households is computed show<strong>in</strong>gMGNREGS <strong>in</strong>come separately to ascerta<strong>in</strong> the c<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> the programmeto the total household <strong>in</strong>come. Average <strong>in</strong>come per household, which isfound to be ` 22,052 without MGNREGS, has risen to 27,000 after theirparticipati<strong>on</strong>, <strong>in</strong>dicat<strong>in</strong>g an <strong>in</strong>crease <strong>of</strong> 18.4 per cent. With regard to average<strong>in</strong>come from MGNREGS al<strong>on</strong>e, it ranged from ` 1310 (South 24 Paraganas)to ` 10,057 (Mahaboobnagar).Average annual <strong>in</strong>come <strong>of</strong> the resp<strong>on</strong>dents (women) al<strong>on</strong>e <strong>in</strong> thehousehold is also computed tak<strong>in</strong>g the <strong>in</strong>come from MGNREGS and <strong>in</strong>comefrom other sources. It is observed that the average <strong>in</strong>come from the sourcesother than MGNREGS is ` 3096 rang<strong>in</strong>g from ` 1428 (Thrissur) to ` 4490(South 24 Paraganas). But when average <strong>in</strong>come earned by the resp<strong>on</strong>dentsfrom MGNREGS is taken <strong>in</strong>to account, earn<strong>in</strong>gs <strong>of</strong> the sample resp<strong>on</strong>dents<strong>of</strong> Thrissur is high (` 6334) and the corresp<strong>on</strong>d<strong>in</strong>g values <strong>in</strong> Gaya and South24 Paraganas are the lowest with ` 1108 and ` 1147, respectively.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 131The data <strong>on</strong> socio- ec<strong>on</strong>omic pr<strong>of</strong>ile <strong>of</strong> the sample workers arereduced to the SES score calculated with the help <strong>of</strong> seven factors (caste,age, educati<strong>on</strong>, occupati<strong>on</strong>, size <strong>of</strong> landhold<strong>in</strong>g, annual <strong>in</strong>come and ec<strong>on</strong>omicdependency). The SES scores ranged from 39 (Gaya district <strong>of</strong> Bihar) to 58.3(Thrissur district <strong>of</strong> Kerala) percentage po<strong>in</strong>ts <strong>in</strong>dicat<strong>in</strong>g that variedperformance can be expected across the regi<strong>on</strong>s – <strong>in</strong> terms <strong>of</strong> awarenessand participati<strong>on</strong> under MGNREGS.SHGs and Their RoleAn effort was made to analyse the periodicity <strong>of</strong> membership andit was found that majority (24.0 per cent) have jo<strong>in</strong>ed the SHGs from 1 to3 years and another 21.1 per cent from 4 to 5 years. It is hearten<strong>in</strong>g toknow that 15.5 per cent resp<strong>on</strong>dents are members <strong>in</strong> SHGs from 6-10 yearsand another four per cent resp<strong>on</strong>dents are from 10-15 years. It was foundthat majority (36.3 per cent) <strong>of</strong> SHGs bel<strong>on</strong>ged to grade I and another 33.2per cent bel<strong>on</strong>ged to grade II. About 30.5 per cent resp<strong>on</strong>dents did notknow what is grad<strong>in</strong>g and whether their groups are graded or not. . It wasobserved that 57.9 per cent resp<strong>on</strong>dents are members <strong>of</strong> SHG federati<strong>on</strong>.It is because <strong>of</strong> the State-specific women empowerment programmes <strong>of</strong>Indira Kranthi Patham <strong>in</strong> Andhra Pradesh and JEEViKA <strong>in</strong> Bihar andKudumbasree <strong>in</strong> Kerala, that SHGs are do<strong>in</strong>g well <strong>in</strong> the study area andmany <strong>of</strong> the resp<strong>on</strong>dents are members not <strong>on</strong>ly <strong>in</strong> SHGs but also <strong>in</strong>federati<strong>on</strong>s.It was observed that 42.1 per cent resp<strong>on</strong>dents could not take loaneven for <strong>on</strong>e time from different sources. About <strong>on</strong>e-third <strong>of</strong> the resp<strong>on</strong>dentscould take loan for 1 to 2 times and another 16.6 per cent could avail <strong>of</strong>3 to 4 times the loan facility.The social capital <strong>of</strong> the resp<strong>on</strong>dents is assessed based <strong>on</strong> aspectsrelat<strong>in</strong>g to their participati<strong>on</strong>, collective acti<strong>on</strong> and mutually supportiverelati<strong>on</strong>s. It is observed that the social capital is the lowest <strong>in</strong> the South 24Paraganas district <strong>of</strong> West Bengal with 25.7 percentage po<strong>in</strong>ts while it ishighest <strong>in</strong> Mahaboobnagar district with 68.9 percentage po<strong>in</strong>ts.RS 97


132 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSThe c<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> SHGs to the awareness about NREGS and role <strong>of</strong>SHGs <strong>in</strong> the participati<strong>on</strong> <strong>of</strong> SHG women <strong>in</strong> MGNREGS related activities isdel<strong>in</strong>eated by adopt<strong>in</strong>g c<strong>on</strong>trol experimental design. From the data, it isevident that overall 47.6 per cent participated <strong>in</strong> the awareness meet<strong>in</strong>gsand another 32.6 per cent <strong>in</strong> the selecti<strong>on</strong> <strong>of</strong> works and other 25 per cent<strong>in</strong> social audit. Only 13.7 per cent participated <strong>in</strong> grievance redressal process.But there are significant variati<strong>on</strong>s across the sample districts. An attemptwas also made to assess the overall participati<strong>on</strong> score <strong>of</strong> SHG members<strong>in</strong> MGNREGS. It was observed that the overall participati<strong>on</strong> score is 29.7per cent rang<strong>in</strong>g from 45 per cent <strong>in</strong> Mahaboobnagar district <strong>of</strong> AndhraPradesh to 8.3 per cent <strong>of</strong> South 24 Paraganas district <strong>of</strong> West Bengal.Decisi<strong>on</strong>-mak<strong>in</strong>g at Household LevelTo analyse the quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong> the resp<strong>on</strong>dents <strong>in</strong>MGNREGS, it is also required to take <strong>in</strong>to c<strong>on</strong>siderati<strong>on</strong> the status <strong>in</strong> decisi<strong>on</strong>mak<strong>in</strong>g at household level. An <strong>in</strong>dex <strong>of</strong> women participati<strong>on</strong> <strong>in</strong> decisi<strong>on</strong>mak<strong>in</strong>g at household level is c<strong>on</strong>structed tak<strong>in</strong>g fourteen <strong>in</strong>dicators such asmatters perta<strong>in</strong><strong>in</strong>g to food, cloth<strong>in</strong>g, expenditure <strong>on</strong> self, purchase <strong>of</strong> assets,children’s educati<strong>on</strong>, health and marriages, attend<strong>in</strong>g social gather<strong>in</strong>gs,visit<strong>in</strong>g relatives, agricultural activities, participati<strong>on</strong> <strong>in</strong> labour, villagedevelopment organisati<strong>on</strong>s/PRI, rural development programmes etc.Regard<strong>in</strong>g food and cloth<strong>in</strong>g, women had a good say across all the sampledistricts. In the areas perta<strong>in</strong><strong>in</strong>g to children like their educati<strong>on</strong>, health,marriages etc, it was the resp<strong>on</strong>dent al<strong>on</strong>g with husband who took decisi<strong>on</strong>s.Attend<strong>in</strong>g social gather<strong>in</strong>gs, visit<strong>in</strong>g relatives and expenditure <strong>on</strong> self areaga<strong>in</strong> such areas, where decisi<strong>on</strong> is taken either by self or jo<strong>in</strong>tly al<strong>on</strong>gwith husband/household members. Regard<strong>in</strong>g agricultural activities andparticipati<strong>on</strong> <strong>in</strong> labour market, it is largely a jo<strong>in</strong>t decisi<strong>on</strong>. When it comesto the purchase <strong>of</strong> assets, though women are also part <strong>of</strong> decisi<strong>on</strong> mak<strong>in</strong>g,<strong>in</strong> significant percentage <strong>of</strong> sample households decisi<strong>on</strong>s are taken by eitherhusband or other family members.Gender Sensitivity <strong>of</strong> Delivery MechanismsThough gender-sensitive mechanisms are <strong>in</strong>-built <strong>in</strong> the programme,yet improved participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGS is a big challenge. GenderRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 133Sensitive Delivery System (GSDS) <strong>in</strong>dex has been developed based <strong>on</strong> theattitude and the help that the <strong>of</strong>ficials rendered to the resp<strong>on</strong>dents <strong>in</strong> theprocess <strong>of</strong> MGNREGS. Percepti<strong>on</strong>s <strong>of</strong> the resp<strong>on</strong>dents are collected by threepo<strong>in</strong>tscale hav<strong>in</strong>g opti<strong>on</strong>s like “not at all, somewhat and very much”. In allthe parameters, the gender sensitivity <strong>of</strong> the <strong>of</strong>ficials is low <strong>in</strong> the studyvillages <strong>of</strong> West Bengal and Bihar compared to those <strong>in</strong> Andhra Pradeshand Kerala. Bhootpur and Pebbair blocks <strong>of</strong> Mahaboobnagar district <strong>of</strong> AndhraPradesh are chosen purposively, where all the <strong>of</strong>ficials start<strong>in</strong>g from mate,field assistant, technical assistant, assistant project <strong>of</strong>ficer and project<strong>of</strong>ficer are women. In Kerala, many <strong>of</strong> the mates are women and so thehelp rendered by them is reflected <strong>in</strong> the resp<strong>on</strong>ses <strong>of</strong> the resp<strong>on</strong>dents.Scores <strong>on</strong> Gender Sensitive Delivery System (GSDS) are worked out and itis observed that the delivery mechanism is more gender-sensitive <strong>in</strong>Mahaboobnagar district with 79.3 per cent as aga<strong>in</strong>st the aggregate score<strong>of</strong> 56.8 per cent. Gaya, the district <strong>of</strong> Bihar got the least score <strong>of</strong> 29.8 percent <strong>on</strong> this dimensi<strong>on</strong>.Awareness about MGNREGSAwareness about MGNREGS is critical to effective implementati<strong>on</strong><strong>of</strong> MGNREGS as it is community oriented and demand-driven scheme. Thestudy has sought to analyse the awareness levels <strong>of</strong> the sample womenworkers <strong>on</strong> different parameters <strong>of</strong> MGNREGS like entitlements, works takenup <strong>in</strong> their gram panchayat, mandatory facilities to be provided at theworksite, social audit, grievance reddressal mechanisms etc., and the source<strong>of</strong> <strong>in</strong>formati<strong>on</strong> (both agencies and media) was also traced.The average score <strong>of</strong> awareness regard<strong>in</strong>g entitlements is 43.1 percent (with scores rang<strong>in</strong>g from 33.6 per cent <strong>in</strong> Gaya to 60.9 per cent <strong>in</strong>Mahaboobnagar). Though there are <strong>in</strong>ter-state variati<strong>on</strong>s, the patterns arefound to be similar. Workers are expected to be aware <strong>of</strong> giv<strong>in</strong>g applicati<strong>on</strong>swhile seek<strong>in</strong>g work, and about 54.2 per cent resp<strong>on</strong>dents reported positivelyand the awareness levels ranged from 75 per cent (Mahaboobnagar) to 20per cent (Gaya). Awareness about the type <strong>of</strong> works that can be taken up<strong>in</strong> MGNREGS is lower than awareness about rights and entitlements.Awareness about mandatory facilities to be provided at worksite, socialRS 97


134 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSaudit, and <strong>of</strong>ficials to be c<strong>on</strong>tacted for grievance redressal are also workedout.Awareness <strong>on</strong> the process <strong>of</strong> social audit and grievance redressal ismoderate. The overall score <strong>of</strong> awareness for all the above comp<strong>on</strong>ents is39.1 per cent with least awareness score for resp<strong>on</strong>dents <strong>in</strong> Gaya districtat 23.9 per cent; Highest score is recorded <strong>in</strong> Mahaboobnagar (58.4 percent) followed by Thrissur with 43.9 per cent.Several agencies and media are used to generate awareness aboutMGNREGS. Gram Panchayat is the major source <strong>of</strong> <strong>in</strong>formati<strong>on</strong> (55.3 percent) followed by SHGs (47.9 per cent), <strong>of</strong>ficials (32.1 per cent) and RozgarSevak (31.1 per cent). In respect <strong>of</strong> media, Radio (42.4 per cent) followedby newspapers (20 per cent) and wall writ<strong>in</strong>gs (19.7 per cent) are importantsources to generate awareness.Participati<strong>on</strong> <strong>in</strong> MGNREGSParticipati<strong>on</strong> is <strong>on</strong>e <strong>of</strong> the key characteristics <strong>of</strong> an empoweredcommunity. The number <strong>of</strong> days <strong>of</strong> employment <strong>in</strong> the works <strong>of</strong> MGNREGSis the ma<strong>in</strong> <strong>in</strong>dicator <strong>of</strong> participati<strong>on</strong>. The average employment days is thehighest for sample workers <strong>of</strong> Mahaboobnagar with 66 days followed byThrissur with 50 days. The least number is recorded <strong>in</strong> the case <strong>of</strong> sampleresp<strong>on</strong>dents <strong>of</strong> South 24 Paraganas (14 days) and it is 26 days <strong>in</strong> Gaya.To measure the quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong> wage seekers especiallywomen, their participati<strong>on</strong> <strong>in</strong> MGNREGS is captured <strong>in</strong> five areas. Theseare: participati<strong>on</strong> <strong>in</strong> the process <strong>of</strong> MGNREGS, approach<strong>in</strong>g <strong>of</strong>ficials forgett<strong>in</strong>g <strong>in</strong>formati<strong>on</strong> <strong>on</strong> different aspects, approach<strong>in</strong>g <strong>of</strong>ficials <strong>in</strong> case <strong>of</strong>difficulties/grievances, participati<strong>on</strong> as members <strong>in</strong> different committees,participat<strong>in</strong>g <strong>in</strong> utilis<strong>in</strong>g their rights and tak<strong>in</strong>g decisi<strong>on</strong>s perta<strong>in</strong><strong>in</strong>g toMGNREGS at household as well as the community level. A scale wasadm<strong>in</strong>istered to ascerta<strong>in</strong> whether participati<strong>on</strong> <strong>of</strong> women is really active,passive or no participati<strong>on</strong>. Scor<strong>in</strong>g has been d<strong>on</strong>e to all the above menti<strong>on</strong>edaspects <strong>of</strong> participati<strong>on</strong> and overall score is worked out. The overall scoreranged from 33.5 (South 24 Paraganas) to 43.6 per cent (Thrissur).RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 135Participati<strong>on</strong> and Awareness Scores Across Socio-ec<strong>on</strong>omicCharacteristics <strong>of</strong> the Resp<strong>on</strong>dentsAwareness and participati<strong>on</strong> scores are compared across the sampledistricts and it is found that <strong>in</strong> all the sample districts, awareness scoresare low <strong>in</strong> comparisi<strong>on</strong> with participati<strong>on</strong> scores. Comparis<strong>on</strong> <strong>of</strong> awarenessand participati<strong>on</strong> scores caste-wise has been made. Results do not revealany close associati<strong>on</strong> between awareness and participati<strong>on</strong> scores al<strong>on</strong>gthe caste categories. The scores are slightly higher for OBC followed bym<strong>in</strong>orities, SCs, OCs and least for STs. Awareness and participati<strong>on</strong> scores<strong>of</strong> the resp<strong>on</strong>dents are compared across the educati<strong>on</strong> levels and significantassociati<strong>on</strong> is found between them. Awareness as well as participati<strong>on</strong>scores <strong>in</strong>creased with educati<strong>on</strong> level. Awareness as well as participati<strong>on</strong>scores are least for s<strong>in</strong>gle women who are deserted and divorced and it isnot the case with widowed women whose awareness score is low butparticipati<strong>on</strong> score is high. Surpris<strong>in</strong>gly for unmarried women, awarenessscore is the least and participati<strong>on</strong> score is the highest. For married womenboth the awareness as well as participati<strong>on</strong> scores are at higher level.Married women and <strong>in</strong> case <strong>of</strong> few widowed women, where they havefamily members’ support, they could do well <strong>in</strong> both awareness andparticipati<strong>on</strong>. In case <strong>of</strong> deserted as well as divorced women without anysupport from other members <strong>of</strong> family are scor<strong>in</strong>g low <strong>on</strong> both awarenessas well as participati<strong>on</strong> dimensi<strong>on</strong>s.An attempt was made to f<strong>in</strong>d out awareness and participati<strong>on</strong> scoresacross different occupati<strong>on</strong>al groups and it is found that they are high foragriculture labourers followed by cultivators and then n<strong>on</strong>- agriculturelabourers. In all the cases awareness scores are lower compared toparticipati<strong>on</strong> scores. The present study observed that there is a clear positiveassociati<strong>on</strong> between the <strong>in</strong>come levels and awareness and participati<strong>on</strong>scores.The awareness and participati<strong>on</strong> score am<strong>on</strong>g women for both themembers <strong>of</strong> SHGs and n<strong>on</strong>-members were separately measured andcompared. It is found that awareness and participati<strong>on</strong> scores are higherRS 97


136 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSfor SHG members <strong>in</strong> comparis<strong>on</strong> with n<strong>on</strong>-SHG members. Awareness andparticipati<strong>on</strong> scores are compared across the ‘number <strong>of</strong> days <strong>of</strong> MGNREGSemployment’ categories. There is a significant correlati<strong>on</strong> between boththe scores and the number <strong>of</strong> days <strong>of</strong> employment under MGNREGS(relati<strong>on</strong>ships are n<strong>on</strong>-l<strong>in</strong>ear). The awareness as well as participati<strong>on</strong> scores<strong>in</strong>creased with <strong>in</strong>crease <strong>in</strong> number days <strong>of</strong> employment.<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong>/H<strong>in</strong>der<strong>in</strong>g Participati<strong>on</strong> <strong>of</strong> Resp<strong>on</strong>dents <strong>in</strong> MGNREGS<strong>Factors</strong> like characteristics <strong>of</strong> a pers<strong>on</strong> (such as literacy), a situati<strong>on</strong>(such as drought), or a pers<strong>on</strong>’s envir<strong>on</strong>ment (such as family members’ illhealth)that force a pers<strong>on</strong> to participate though not really <strong>in</strong>terested arecalled vulnerability factors. In the present study an attempt was made tolist out few such factors and they are, no sufficient agriculture work,migrati<strong>on</strong>, lack <strong>of</strong> skills to do other works, poverty, unemployment, debts,b<strong>on</strong>ded labour, health problems <strong>of</strong> other members <strong>in</strong> the family etc.There are few factors which encourage and motivate resp<strong>on</strong>dents toparticipate <strong>in</strong> MGNREGS. Such factors are listed out and they are, supportfrom family, group arrangement, equal wages, m<strong>in</strong>imum wages, timelywages, work taken up <strong>in</strong> their own land, higher than market wages,<strong>in</strong>stituti<strong>on</strong>al payment, worksite facilities, timely employment, sensitivity <strong>of</strong><strong>of</strong>ficials, SHG membership etc.There are few factors which act as c<strong>on</strong>stra<strong>in</strong>ts or obstacles forresp<strong>on</strong>dents to participate <strong>in</strong> MGNREGS even though they are will<strong>in</strong>g towork. Out <strong>of</strong> such factors, untimely employment, delayed payments, healthproblems, rigid tim<strong>in</strong>gs are few. Household work load, own agriculturalworks, wages less than market wages, unequal wages, gender and castediscrim<strong>in</strong>ati<strong>on</strong>, worksite harassment, <strong>in</strong>sensitivity <strong>of</strong> <strong>of</strong>ficials, problems <strong>in</strong>gett<strong>in</strong>g employment, <strong>of</strong>ficials not able to provide employment, lack <strong>of</strong>mandatory worksite facilities, hard work and distance to worksite etc. arealso <strong>in</strong>cluded <strong>in</strong> such category.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 137Outcomes <strong>of</strong> Participati<strong>on</strong> <strong>in</strong> MGNREGSOutcomes <strong>of</strong> women’s participati<strong>on</strong> <strong>in</strong> MGNREGS is a systematicprocess by which <strong>on</strong>e can assess to what extent the objective(s) <strong>of</strong> theprogramme are achieved and what impact the former has made <strong>on</strong> theec<strong>on</strong>omic, social and psychological fields <strong>of</strong> women. To document theoutcomes <strong>of</strong> women participati<strong>on</strong> <strong>in</strong> MGNREGS, data <strong>on</strong> the changes <strong>in</strong>quality <strong>of</strong> life (like <strong>in</strong>comes, food, cloth<strong>in</strong>g, health, educati<strong>on</strong>, hous<strong>in</strong>g etc.)and changes with<strong>in</strong> and outside envir<strong>on</strong>ment <strong>of</strong> women are collected.In all the parameters <strong>of</strong> quality <strong>of</strong> life, majority <strong>of</strong> the resp<strong>on</strong>dentsreported moderate change; however, the outcomes varied across the sampledistricts. In Gaya, major change was observed <strong>in</strong> the <strong>in</strong>come levels and also<strong>in</strong> the quantity and quality <strong>of</strong> food <strong>in</strong>take followed by expenditure <strong>on</strong> cloth<strong>in</strong>g,health and educati<strong>on</strong>. Very m<strong>in</strong>imal changes took place <strong>in</strong> the area <strong>of</strong>hous<strong>in</strong>g. Similar trend was observed <strong>in</strong> other two sample districts <strong>of</strong> Thrissurand South 24 Paraganas with vary<strong>in</strong>g degrees <strong>of</strong> change. But when it comesto Mahaboobnagar <strong>in</strong> almost all parameters, resp<strong>on</strong>ses reveal that changeshave occurred moderate and significant.Change <strong>in</strong> Other Areas With<strong>in</strong> and Outside Envir<strong>on</strong>ment <strong>of</strong> <strong>Women</strong> Dueto Participati<strong>on</strong> <strong>in</strong> MGNREGSAny development programme will impact not <strong>on</strong>ly the quality <strong>of</strong>liv<strong>in</strong>g <strong>of</strong> the beneficiary but also the factors c<strong>on</strong>tribut<strong>in</strong>g to the empowermentwith<strong>in</strong> and outside the envir<strong>on</strong>ment women deal with. Few <strong>in</strong>dicators <strong>of</strong>empowerment like leadership qualities, mobilis<strong>in</strong>g skills, negotiati<strong>on</strong> skills,decisi<strong>on</strong> mak<strong>in</strong>g skills, f<strong>in</strong>ancial management skills, resource mobilisati<strong>on</strong>,political participati<strong>on</strong>, mobility, membership <strong>in</strong> VDOs, self-c<strong>on</strong>fidence,competence and self-esteem were measured pos<strong>in</strong>g few questi<strong>on</strong>s beforethe participati<strong>on</strong> <strong>in</strong> MGNREGS and at present. An attempt was made toscore the resp<strong>on</strong>ses <strong>of</strong> the resp<strong>on</strong>dents for the outcomes and the changesthat took place with<strong>in</strong> and outside envir<strong>on</strong>ment <strong>of</strong> women due toparticipati<strong>on</strong> <strong>in</strong> MGNREGS. The average score is 11.9 per cent beforeparticipati<strong>on</strong> <strong>in</strong> MGNREGS and <strong>in</strong>creased to 47.4 per cent with participati<strong>on</strong><strong>in</strong> MGNREGS. Before participati<strong>on</strong> <strong>in</strong> MGNREGS, the score ranged from 2RS 97


138 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSper cent <strong>in</strong> South 24 Paraganas district <strong>of</strong> West Bengal to 30.2 per cent <strong>in</strong>Mahaboobnagar district <strong>of</strong> Andhra Pradesh. In the same way afterparticipat<strong>in</strong>g <strong>in</strong> MGNREGS score ranged from 18.1 per cent <strong>in</strong> South 24Paraganas district <strong>of</strong> West Bengal to 78 per cent <strong>in</strong> Mahaboobnagar district<strong>of</strong> Andhra Pradesh. Even when it comes to the <strong>in</strong>cremental <strong>in</strong>crease too, itis highest <strong>in</strong> Mahaboobnagar district <strong>of</strong> Andhra Pradesh with 47.8 per centand least <strong>in</strong> South 24 Paraganas district <strong>of</strong> West Bengal with 16.1 per cent.Major C<strong>on</strong>clusi<strong>on</strong>s and Recommendati<strong>on</strong>s* For improved and active participati<strong>on</strong> <strong>of</strong> women focus to m<strong>in</strong>imisethe vulnerable factors and h<strong>in</strong>der<strong>in</strong>g factors should be taken up andmore attenti<strong>on</strong> <strong>on</strong> motivat<strong>in</strong>g factors should be laid.* As per the observati<strong>on</strong>s <strong>of</strong> the study there is impact <strong>of</strong> womenempowerment programmes <strong>on</strong> quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong> women <strong>in</strong>MGNREGS. So a c<strong>on</strong>vergence mode <strong>of</strong> plann<strong>in</strong>g should be taken upwhere both programmes will take the support <strong>of</strong> each other.* <strong>Women</strong> <strong>of</strong>ficials are found play<strong>in</strong>g a c<strong>on</strong>structive role and facilitat<strong>in</strong>gthe participati<strong>on</strong> <strong>of</strong> women <strong>in</strong> MGNREGS and so as a policy certa<strong>in</strong>percentage <strong>of</strong> positi<strong>on</strong>s at each level may be reserved for womenfuncti<strong>on</strong>aries.* There are few grey areas with regard to participati<strong>on</strong> <strong>of</strong> women <strong>in</strong>the MGNREGS process like participati<strong>on</strong> <strong>in</strong> social audit and plann<strong>in</strong>g<strong>of</strong> works etc. where special IEC efforts should be made to educatewomen. <strong>Women</strong> members <strong>of</strong> GP should also be <strong>in</strong>volved, <strong>in</strong> largemeasure, <strong>in</strong> social mobilisati<strong>on</strong> and guidance to women workers.* Though NREGA was not envisi<strong>on</strong>ed as an exclusively women’sempowerment programme, the opportunity taken by a large number<strong>of</strong> women <strong>in</strong>dicates a preference for “government work” whichprovides dignity and higher wages than available <strong>in</strong> the market. Theproblems such as drudgery need to be addressed by mak<strong>in</strong>g availablegender-sensitive / women-friendly tools.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 139* NREGA implementati<strong>on</strong> could be strengthened by effectiveprovisi<strong>on</strong><strong>in</strong>g <strong>of</strong> what is already available <strong>in</strong> the Act, such as worksitefacilities, eg. shade and safe dr<strong>in</strong>k<strong>in</strong>g water and especially childcare facilities. The functi<strong>on</strong>aries <strong>of</strong> Anganwadis may also be reviewed– <strong>in</strong> terms <strong>of</strong> tim<strong>in</strong>g and other services-so that MGNREGA womenworkers are ensured <strong>of</strong> the safety <strong>of</strong> children (heat, <strong>in</strong>sect bites…).* The compositi<strong>on</strong> <strong>of</strong> women workers seen <strong>on</strong> worksites, and thenature <strong>of</strong> the work <strong>of</strong>fered, suggests that there is need to give someserious thought to develop<strong>in</strong>g a wider range <strong>of</strong> activities under theNREGA. For example, while elderly women and young women with<strong>in</strong>fants com<strong>in</strong>g to sites c<strong>on</strong>firm their pecuniary needs; however,hard manual labour is not desirable from the po<strong>in</strong>t <strong>of</strong> view <strong>of</strong> theirown health or that <strong>of</strong> <strong>in</strong>fants. The design <strong>of</strong> the programme needsto accommodate these variati<strong>on</strong>s <strong>in</strong> life cycle and physical ability toundertake hard manual labour.* The potential <strong>of</strong> the programme for allow<strong>in</strong>g women to make somesav<strong>in</strong>gs is observed everywhere. <strong>Facilitat<strong>in</strong>g</strong> their ability to savetowards specific <strong>in</strong>come generati<strong>on</strong> is a way <strong>of</strong> enhanc<strong>in</strong>g wellbe<strong>in</strong>g.* Some “gender-sensitive measures” such as <strong>in</strong>crease <strong>in</strong> participati<strong>on</strong><strong>of</strong> women <strong>in</strong> plann<strong>in</strong>g, implementati<strong>on</strong> and social audits <strong>of</strong> NREGA,<strong>in</strong> turn, will create an opportunity for women’s role <strong>in</strong> assetmanagement.* As it has come out <strong>in</strong> the study that gender sensitivity <strong>of</strong> the deliverysystem has large <strong>in</strong>fluence <strong>on</strong> quality <strong>of</strong> participati<strong>on</strong> <strong>of</strong> women <strong>in</strong>MGNREGS, special focus should be laid by address<strong>in</strong>g the attitud<strong>in</strong>alchanges <strong>of</strong> the <strong>of</strong>ficials and mak<strong>in</strong>g them more gender-sensitive.RS 97


140 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSReferences1. Nati<strong>on</strong>al Federati<strong>on</strong> for Indian <strong>Women</strong> (2008), Socio-ec<strong>on</strong>omicEmpowerment <strong>of</strong> <strong>Women</strong> under NREGA, www.ipc-undp.org/pressroom/files/ipc163.pdf2. Panda.B, Dutta. A.K and Prosty. S (2009), “An appraisal <strong>of</strong> NREGA <strong>in</strong>the States <strong>of</strong> Meghalaya and Sikkim” http://www.nrega.net/p<strong>in</strong>/reports-and-resources/reports-submitted-to-the-m<strong>in</strong>istry-<strong>of</strong>-rural-development/reports-28-jan-2010/NREGA-IIMShill<strong>on</strong>g-F<strong>in</strong>al%20Report.pdf3. Richard Mahapatra (2010), ‘How <strong>Women</strong> Seized NREGA’ http://www.downtoearth.org.<strong>in</strong>/node/22824. Soluti<strong>on</strong> Exchange for the Work and Employment Community (2011)-“Ensur<strong>in</strong>g <strong>Women</strong> Exercise the Right to Work” ftp://ftp.fao.org/.../C<strong>on</strong>solidated%20reply%20NREGA%20and%20NRM.pdf5. Trishna Kalita (2010) <strong>Women</strong>’s Participati<strong>on</strong> <strong>in</strong> NREGA http://news.outlook<strong>in</strong>dia.com/items.aspx?artid=763040.RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 141Annexure-ITECHNICAL NOTE1. SES Index – VariablesS.No. Variables & Group<strong>in</strong>g ScoresAGE1 25 and below 12 26 – 35 43 36 – 45 44 46 – 55 35 56 – 65 26 65 and above 1CASTE1 SC 12 ST 13 OBC 24 M<strong>in</strong>orities 35 OC 4EDUCATION1 Illiterate 02 Primary 13 Sec<strong>on</strong>dary 24 High School and above 3OCCUPATION1 Cultivator 32 Agri. Labour 13 N<strong>on</strong>-agri. Labour 24 Artisan 35 Bus<strong>in</strong>ess 46 Services 3RS 97


142 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSINCOME1 Up to 8000 12 8001-16000 23 16001-24000 34 24001-32000 45 Above 32000 5OPERATIONAL LANDHOLDING STATUS1 Landless 02 1 or below 1 acre 13 1.01 – 2.5 acres 24 2.51 – 5.0 acres 35 5.01 – 10.0 acres 46 10.1 acres and above 5ECONOMIC DEPENDENCY IN THE HHEarners : Dependents1 1 : < 1 32 1 : 1 – 2 23 1 : > 2 1Maximum Score 28M<strong>in</strong>imum Score 72. Decisi<strong>on</strong>-mak<strong>in</strong>g at Household Level ScoreQ.No. Variables Scores (3 scale)2 / 1 / 01 Food2 Cloth<strong>in</strong>g 0-23 Children’s educati<strong>on</strong> 0-24 Children’s health 0-25 Children’s marriages 0-2RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 1436 Attend<strong>in</strong>g the social gather<strong>in</strong>gs 0-27 Visit<strong>in</strong>g the relatives 0-28 Agricultural activities 0-29 Participati<strong>on</strong> <strong>in</strong> labour 0-210 Expenditure <strong>on</strong> self 0-211 Purchas<strong>in</strong>g <strong>of</strong> assets 0-212 Participati<strong>on</strong> <strong>in</strong> village development 0-2organisati<strong>on</strong>s (SHGs, CBOs)13 Participati<strong>on</strong> <strong>in</strong> rural development programmes 0-214 Participat<strong>in</strong>g <strong>in</strong> PRI 0-2Total Score 0-283. Social Capital– Variables (Self)Q.No. Variables Scores(yes / no)Q.32 As a SHG member Participati<strong>on</strong> <strong>in</strong>SHG meet<strong>in</strong>gs 1Gram Sabha/VDC meet<strong>in</strong>gs 1Village developmental activities 1(clean & green, literacy drive, etc.)CBOs (educati<strong>on</strong>, watershed, VSS, etc.) 1Tackl<strong>in</strong>g social issues (alcoholism, dowry, etc.) 1Whether taken up any group IGP 1Help<strong>in</strong>g other members <strong>of</strong> your group 1RS 97


144 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGSQ.33 SHG participati<strong>on</strong> <strong>in</strong>Awareness Generati<strong>on</strong> Programme about MGNREGS 1Selecti<strong>on</strong> <strong>of</strong> works 1Social Audit 1Grievance redressal 1Total 114. Gender Sensitivity <strong>of</strong> the OfficialsQ.No. Variables Scores (3-scale)2 / 1 / 01 Registrati<strong>on</strong> for job cards 0-22 Issu<strong>in</strong>g <strong>of</strong> job cards (<strong>in</strong> the name <strong>of</strong> women) 0-23 Giv<strong>in</strong>g <strong>in</strong>formati<strong>on</strong> to women about the work 0-24 Priority to women <strong>in</strong> allocati<strong>on</strong> <strong>of</strong> works 0-25 Arrang<strong>in</strong>g worksite facilitiesa) Shade 0-2b) Creche 0-2c) Dr<strong>in</strong>k<strong>in</strong>g Water 0-2d) First Aid 0-26 Muster rolls (record<strong>in</strong>g and read<strong>in</strong>g out 0-2the details <strong>of</strong> the actual work d<strong>on</strong>e by women)7 Help<strong>in</strong>g women to get wages as 0-2per prescribed work norms8 Help<strong>in</strong>g the women <strong>in</strong> open<strong>in</strong>g accounts 0-2<strong>in</strong> banks/post <strong>of</strong>ficeRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 1459 Solv<strong>in</strong>g problems <strong>of</strong> women at 0-2the worksite (harassment)Total Score 0-245. Awareness Score – VariablesQ.No. Variables Scores37. Rights & Entitlements provided <strong>in</strong> MGNREGS 0-838. Giv<strong>in</strong>g applicati<strong>on</strong> for work 0-139. Employment can be demanded at any time 0-140. Can identify works at GP 0-141. Works that can be taken up under MGNREGS 0-142. Mandatory facilities that should be 0-4provided at the worksiteFirst aidDr<strong>in</strong>k<strong>in</strong>g waterCrècheShade43. Aware <strong>of</strong> Social Audit 0-144. Aware <strong>of</strong> the <strong>of</strong>ficials / others to approach if 0-3job cards are not given (village secretary/GP Pradhan/Field Assistant)work is not given with<strong>in</strong> 15 days (PO, DPC,)wages are not paid with<strong>in</strong> 15 days (PO, DPC)45. Sources <strong>of</strong> <strong>in</strong>formati<strong>on</strong> <strong>of</strong> MGNREGSa) Agency 0-5b) Media 0-7Total Score 0-32RS 97


146 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS6. Participati<strong>on</strong> – Variables (Self)Q.No. Variables Scores – 4 scale 3 / 2 / 1 / 01 MGNREGS Process 212 Approached <strong>of</strong>ficials for <strong>in</strong>formati<strong>on</strong> <strong>on</strong> 273 Utilis<strong>in</strong>g the Rights 304 Took Decisi<strong>on</strong> regard<strong>in</strong>ga. Household 12b. Community 6Total Participati<strong>on</strong> Score 1-967. <strong>Factors</strong> resp<strong>on</strong>sible for participati<strong>on</strong>Q.No. Variables Scores48. Vulnerability factors (Yes-1 / No-0) 0-849. Motivat<strong>in</strong>g factors (Yes-1 / No-0) 0-1550. De-motivat<strong>in</strong>g factors (Yes-1 / No-0) 0-1351. Outcomes <strong>of</strong> Participati<strong>on</strong> <strong>in</strong> MGNREGS(No change-0, change to some extent-1,change to large extent-2)a) Quality <strong>of</strong> Life 0-12b) OthersBefore 0-28Now 0-28RS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 147OTHER PUBLICATIONS IN THIS SERIESI. Role <strong>of</strong> PRls <strong>in</strong> Management <strong>of</strong> Rural Health Care and Family Welfare Services:An Exploratory <str<strong>on</strong>g>Study</str<strong>on</strong>g>2. The State-Sp<strong>on</strong>sored Innovative Rural Development Programmes - The VDB <strong>of</strong>Nagaland3. Management <strong>of</strong> Public Distributi<strong>on</strong> <strong>in</strong> Two States - Gujarat and Karnataka4. Viability <strong>of</strong> Service Area Approach to Small Farmers5. Social Security to the Poor : Efficacy <strong>of</strong> PDS and WEPs <strong>in</strong> Karnataka6. Participatory Plann<strong>in</strong>g : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> the Plann<strong>in</strong>g Process <strong>in</strong> Kerala7. Micro Credit for Micro Enterprises8. Plann<strong>in</strong>g for Kohir Mandal9. Demography <strong>of</strong> Crimes <strong>in</strong> Rural Areas : Causes and Remedies10. Impact Assessment <strong>of</strong> Wage Employment (JRY and EAS) Programmes <strong>in</strong> SelectedAreas <strong>of</strong> Uttar Pradesh11. Work<strong>in</strong>g <strong>of</strong> Tribal Panchayats <strong>in</strong> Bilaspur District, Madhya Pradesh12. Functi<strong>on</strong>al and F<strong>in</strong>ancial Devoluti<strong>on</strong> <strong>on</strong> Panchayats (A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Daman & Diuand Dadra & Nagar Haveli)13. People’s Percepti<strong>on</strong> <strong>of</strong> Panchayati Raj <strong>in</strong> Kerala14. Nyaya Panchayats <strong>in</strong> India : A <str<strong>on</strong>g>Study</str<strong>on</strong>g>15. Emerg<strong>in</strong>g Leadership am<strong>on</strong>g SCs/STs under New Panchayati Raj Act <strong>in</strong> Karnataka16. The Role <strong>of</strong> Panchayati Raj <strong>in</strong> Natural Resource Management: A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> TwoVillage Panchayats <strong>in</strong> Tamil Nadu17. Community Polytechnics and Rural Development18. Role <strong>of</strong> Melas <strong>in</strong> Market<strong>in</strong>g <strong>of</strong> Rural Industries Products19. Impact <strong>of</strong> Committee System <strong>in</strong> Promot<strong>in</strong>g Devoluti<strong>on</strong> <strong>of</strong> Panchayats : A <str<strong>on</strong>g>Study</str<strong>on</strong>g><strong>in</strong> West Bengal20. Plann<strong>in</strong>g for Susta<strong>in</strong>able Rural Envir<strong>on</strong>ment through Watersheds and WaterHarvest<strong>in</strong>g Structures : A Process <str<strong>on</strong>g>Study</str<strong>on</strong>g>21. Impact Assessment <strong>of</strong> Wage Employment (JRY & EAS) Programmes <strong>in</strong> SelectedAreas <strong>of</strong> Bihar22. Decentralisati<strong>on</strong> <strong>of</strong> Power <strong>in</strong> Schedule V Areas : Interface Between PanchayatiRaj Instituti<strong>on</strong>s and L<strong>in</strong>e Departments23. Participatory Micro Level Plann<strong>in</strong>g : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> the 11th Janmabhoomi Programme<strong>of</strong> Andhra Pradesh24. Management <strong>of</strong> Panchayati Raj F<strong>in</strong>ances <strong>in</strong> Andhra Pradesh : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> MedakDistrict25. A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>on</strong> Wage Employment Programme <strong>in</strong> Kumool (Andhra Pradesh) and Surat(Gujarat) Districts26. Self-employment Projects-Group Approaches27. Management <strong>of</strong> Public Distributi<strong>on</strong> System <strong>in</strong> Two States (Kerala and Orissa)28. Capacity Build<strong>in</strong>g <strong>of</strong> SHGs to take up Micro-Enterprises under SGSY : A Quick<str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Jalna District, Maharashtra29. Rural Infrastructure and Welfare <strong>of</strong> the Poor30. Organisati<strong>on</strong>al and Instituti<strong>on</strong>al Arrangements across the WatershedProgrammes: A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> Kerala Model31. Rural Road L<strong>in</strong>ks : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> Sagar District <strong>in</strong> Madhya Pradesh32. Micro Credit Interventi<strong>on</strong>s <strong>in</strong> Promot<strong>in</strong>g Micro Enterprises33. Impact <strong>of</strong> Integrated Wasteland Development Programme (Phase-II) (IIWDP) : A<str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Uttar PradeshRS 97


148 <strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS34. Entrepreneurship Development am<strong>on</strong>g Rural <strong>Women</strong>35. Employment. Earn<strong>in</strong>gs and Envir<strong>on</strong>ment am<strong>on</strong>g Diam<strong>on</strong>d Cutt<strong>in</strong>g Workers <strong>in</strong>Gujarat36. Direct Fund<strong>in</strong>g to Watershed Community : Process and Impact37. Employment and Levels <strong>of</strong> Liv<strong>in</strong>g Am<strong>on</strong>g Cane and Bamboo Artisans <strong>in</strong> Tripura38. Strategies for Market<strong>in</strong>g <strong>of</strong> Rural Industries Products39. Activities for <strong>Women</strong> under Cluster Approach and their Capacity-Build<strong>in</strong>g underSGSY - A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Five States40. Management <strong>of</strong> Rural Development Programmes with Special Reference to JGSY:A <str<strong>on</strong>g>Study</str<strong>on</strong>g>41. Chang<strong>in</strong>g Pattern <strong>of</strong> District Adm<strong>in</strong>istrati<strong>on</strong> with Particular Reference to the Role<strong>of</strong> the Collector <strong>in</strong> Panchayati Raj42. Panchayati Raj F<strong>in</strong>ances <strong>in</strong> Maharashtra : A Quick <str<strong>on</strong>g>Study</str<strong>on</strong>g>43. Instituti<strong>on</strong>aI and Infrastructural Impediments <strong>in</strong> Rural Industrialisati<strong>on</strong> <strong>in</strong>D<strong>in</strong>digul District, Tamil Nadu44. Gram Sabha : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Two States45. Social Mobilisati<strong>on</strong> for Elim<strong>in</strong>ati<strong>on</strong> <strong>of</strong> Child Labour : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> MVF46. Participatory Management <strong>of</strong> Land Resources with Special Reference to JFM :Impact <strong>on</strong> Andhra Pradesh47. Functi<strong>on</strong><strong>in</strong>g; Performance and Leakage <strong>in</strong> Public Distributi<strong>on</strong> System : A <str<strong>on</strong>g>Study</str<strong>on</strong>g><strong>in</strong> Three States48. Impact Assessment <strong>of</strong> JRY and EAS Programmes <strong>in</strong> Tripura49. A Case <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> Sav<strong>in</strong>gs and Investments <strong>of</strong> Rural Households <strong>in</strong> Sagar District<strong>of</strong> Madhya Pradesh50. Emerg<strong>in</strong>g Leadership <strong>in</strong> the Tribal Area51. Partnership <strong>in</strong> Community-<strong>in</strong>itiated Forest Management System : C<strong>on</strong>flicts andProspects52. Tra<strong>in</strong><strong>in</strong>g Towards Capability-Build<strong>in</strong>g am<strong>on</strong>g Various ClienteIe Groups InWatershed53. Muga/Eri Silk Producti<strong>on</strong> and C<strong>on</strong>stra<strong>in</strong>ts : A Process <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Assam andMizoram54. Community Interventi<strong>on</strong>s <strong>in</strong> Traditi<strong>on</strong>al Ra<strong>in</strong> Water Harvest<strong>in</strong>g-Dr<strong>in</strong>k<strong>in</strong>g Water55. Capacity Build<strong>in</strong>g <strong>of</strong> Community-Based Organisati<strong>on</strong>s : A <str<strong>on</strong>g>Study</str<strong>on</strong>g>56. Empowerment <strong>of</strong> Weaker Secti<strong>on</strong>s - The Barefoot College, SWRC, Til<strong>on</strong>ia57. Positive and Inhibit<strong>in</strong>g <strong>Factors</strong> <strong>in</strong> Cluster Approaches and Group Functi<strong>on</strong><strong>in</strong>g <strong>of</strong>Micro Enterprises under SGSY58. Post-Literacy and C<strong>on</strong>t<strong>in</strong>u<strong>in</strong>g Educati<strong>on</strong> : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Yamunanagar District <strong>of</strong>Haryana59. Infrastructure for Rural Poor60. Functi<strong>on</strong><strong>in</strong>g <strong>of</strong> PDS <strong>in</strong> North-Eastern States61. Assessment <strong>of</strong> Targeted PDS <strong>in</strong> Rural India62. Rural Road C<strong>on</strong>nectivity : A Process <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> PMGSY63. Market<strong>in</strong>g Channels for Select Products <strong>of</strong> SGSY64. Farmers’ Suicides <strong>in</strong> Andhra Pradesh and Karnataka65. Work<strong>in</strong>g <strong>of</strong> <strong>Women</strong>’s Thrift Cooperatives under MACS Act <strong>in</strong> A.P. - A <str<strong>on</strong>g>Study</str<strong>on</strong>g>66. Decentralised Plann<strong>in</strong>g and Management <strong>of</strong> Primary Health Care Services underPanchayati Raj Instituti<strong>on</strong>s67. Implementati<strong>on</strong> <strong>of</strong> SGRY <strong>in</strong> ChhattisgarhRS 97


<strong>Factors</strong> <strong>Facilitat<strong>in</strong>g</strong> Participati<strong>on</strong> <strong>of</strong> <strong>Women</strong> <strong>in</strong> Mahatma Gandhi NREGS 14968. Quick <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>on</strong> Performance <strong>of</strong> SHGs and DWCRA Implemented by Governmentand N<strong>on</strong>-Government Organisati<strong>on</strong>s69. Poverty, Gender and Reproductive Choice - An Analysis <strong>of</strong> L<strong>in</strong>kages70. Empowerment <strong>of</strong> <strong>Women</strong> <strong>in</strong> PRIs : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Six Select States71. Flood Disaster Management: A <str<strong>on</strong>g>Study</str<strong>on</strong>g>72. Risk, Vulnerability and Cop<strong>in</strong>g Mechanisms <strong>in</strong> Ra<strong>in</strong>fed Agriculture : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong>Three States73. Gramsat: Utility and Effectiveness74. Micro-Level Experiments <strong>in</strong> Food Security - A <str<strong>on</strong>g>Study</str<strong>on</strong>g> across States75. Community Based Resource Management - A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> Forest Panchayats <strong>of</strong>Uttaranchal76. Agrarian Relati<strong>on</strong>s and Rural Poverty <strong>in</strong> Post-Reforms Period : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> Biharand Orissa77. Implementati<strong>on</strong> <strong>of</strong> IAY : Issues and Achievements : A Nati<strong>on</strong>-wide <str<strong>on</strong>g>Study</str<strong>on</strong>g>78. Interventi<strong>on</strong>s <strong>of</strong> Livelihood Opti<strong>on</strong>s for HIV and AIDS Affected People <strong>in</strong> the RuralAreas79. Effectiveness <strong>of</strong> Watershed Development <strong>on</strong> Envir<strong>on</strong>ment C<strong>on</strong>servati<strong>on</strong> : A Case<str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Jharkhand and Madhya Pradesh80. Gender and MGNREGS81. Stakeholders’ Participati<strong>on</strong> and Equity Aspects <strong>of</strong> Watershed Development: A<str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Andhra Pradesh and Rajasthan82. Stress Audit : For Rural Development Instituti<strong>on</strong>s At District and Block Level83. Market<strong>in</strong>g Strategies for Traditi<strong>on</strong>al Fishery Products84. Approaches to Forest Management : A Comparative <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>of</strong> JFM and Self -Initiated Forest Management85. Crisis <strong>in</strong> Handloom Industry: A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Andhra Pradesh and Tamil Nadu86. Competency Mapp<strong>in</strong>g : For Rural Development Officials87. Status <strong>of</strong> Land Allotted to Poor under Land Distributi<strong>on</strong> Programmes - AnEvaluati<strong>on</strong> <strong>in</strong> Selected States88. Behavioural Competencies Requirement for MGNREGS Adm<strong>in</strong>istati<strong>on</strong>89. Pro-Poor Strategy for Micro-Credit Delivery System90. Comparative study <strong>of</strong> Instituti<strong>on</strong>al Arrangements and Farm<strong>in</strong>g Systems : ViableOpti<strong>on</strong>s for Small and Marg<strong>in</strong>al Farmers91. A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>on</strong> Market<strong>in</strong>g Infrastructure for Fruits and Vegetables <strong>in</strong> India92. Impact <strong>of</strong> Antyodaya Anna Yojana (AAY) <strong>on</strong> the Food Security <strong>of</strong> the Poorest <strong>of</strong>the Poor <strong>in</strong> Rural Areas93. Impact <strong>of</strong> Federati<strong>on</strong>s <strong>in</strong> Ec<strong>on</strong>omic Improvement <strong>of</strong> SHG Members : A <str<strong>on</strong>g>Study</str<strong>on</strong>g>Across Two States <strong>of</strong> India94. Inclusi<strong>on</strong> Of Pers<strong>on</strong>s With Disabilities Under MGNREGS : A <str<strong>on</strong>g>Study</str<strong>on</strong>g> Across ThreeStates95. Role <strong>of</strong> Exclusive Credit L<strong>in</strong>kage Programme for Occupati<strong>on</strong>al Dynamics am<strong>on</strong>gFisherwomen – A <str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Andhra Pradesh & Tamil Nadu States96. Land and Water Use Practices for Susta<strong>in</strong>able Smallholders’ Livelihoods : A<str<strong>on</strong>g>Study</str<strong>on</strong>g> <strong>in</strong> Four States97. e-C<strong>on</strong>nectivity <strong>of</strong> PanchayatsRS 97


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