Spatial and Social Inequalities in Human Development: India in the ...
Spatial and Social Inequalities in Human Development: India in the ...
Spatial and Social Inequalities in Human Development: India in the ...
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The <strong>in</strong>fant mortality rates (IMR), used as negative proxy <strong>in</strong>dicators of health, for men <strong>and</strong>women <strong>and</strong> for rural <strong>and</strong> urban areas, reflect improvement <strong>in</strong> <strong>the</strong> situation <strong>in</strong> recent years(Table 6). The gender disparity works out as high although this has decl<strong>in</strong>ed marg<strong>in</strong>ally dur<strong>in</strong>g2005-11. Relatively faster decl<strong>in</strong>e <strong>in</strong> <strong>in</strong>fant mortality rate for girls, however, must be balancedaga<strong>in</strong>st <strong>the</strong> <strong>in</strong>creas<strong>in</strong>g term<strong>in</strong>ation of female fetuses. Rural mortality rate is about 60 per centhigher than <strong>the</strong> urban rate <strong>in</strong> 2005 <strong>and</strong> unfortunately, this has rema<strong>in</strong>ed unchanged <strong>in</strong> 2011.This implies that <strong>the</strong> rural urban disparity has not decl<strong>in</strong>ed as <strong>the</strong> gender disparity. In <strong>the</strong>context of <strong>in</strong>terstate <strong>in</strong>equality, one notices high coefficient of variation for men <strong>and</strong> women<strong>and</strong> for rural <strong>and</strong> urban areas. The values of <strong>the</strong>se coefficients have, however, gone downmarg<strong>in</strong>ally over <strong>the</strong> years. One must none<strong>the</strong>less po<strong>in</strong>t out that <strong>the</strong> decl<strong>in</strong>e is basically due to afall <strong>in</strong> IMR <strong>in</strong> <strong>the</strong> north eastern states <strong>and</strong> <strong>the</strong> smaller states of Goa, Himachal Pradesh <strong>and</strong>Uttarakh<strong>and</strong>. Restrict<strong>in</strong>g <strong>the</strong> analysis to <strong>the</strong> larger states, one would argue that <strong>the</strong>re has beena marg<strong>in</strong>al <strong>in</strong>crease <strong>in</strong> <strong>in</strong>terstate <strong>in</strong>equality <strong>in</strong> recent years, similar to what was noted <strong>in</strong> case ofeducational <strong>in</strong>dicators. Educational <strong>in</strong>dicators, however, do not show any strong correlationwith economic development as many of <strong>the</strong> developed states like Delhi, Punjab <strong>and</strong> Haryana,report low educational atta<strong>in</strong>ment along with backward states of Rajasthan, Uttar Pradesh,Bihar <strong>and</strong> Jharkh<strong>and</strong>. The correlations of per capita SDP with IMR are, however, stronglynegative s<strong>in</strong>ce <strong>the</strong> states with high per capita <strong>in</strong>come like Maharashtra, Delhi, Karnataka,Punjab, Gujarat <strong>and</strong> West Bengal report low mortality rates while <strong>the</strong> less developed states likeOdisha, Chhattisgarh, Rajasthan, Utter Pradesh <strong>and</strong> Madhya Pradesh record high IMR. Thecorrelation coefficients of per capita SDP with IMR were -0.45 <strong>and</strong> -0.42 for males <strong>and</strong> femalesrespectively, <strong>the</strong> two values becom<strong>in</strong>g even stronger <strong>in</strong> 2011 go<strong>in</strong>g up to -0.72 <strong>and</strong> -0.64 TheIMR show<strong>in</strong>g a strong negative correlation with per capita state <strong>in</strong>come is underst<strong>and</strong>able as<strong>the</strong> poorer states tend to make low expenditure both by public agencies as also households.The poor educational <strong>and</strong> health outcomes <strong>in</strong> a less developed states should, <strong>the</strong>refore be amatter of concern s<strong>in</strong>ce <strong>the</strong>se are not able to allocate adequate funds to social sectors <strong>and</strong> thisdeficit are not gett<strong>in</strong>g compensated through allocations or transfers under <strong>the</strong> federal system.The states of Kerala <strong>and</strong> Himachal Pradesh are important exceptions as <strong>the</strong>se are able to reportexcellent health outcomes at a low level of per capita SDP. Similarly, <strong>the</strong> high IMR particularlyfor girl children <strong>in</strong> <strong>the</strong> economically developed state of Haryana can be expla<strong>in</strong>ed <strong>in</strong> terms ofsocial prejudices aga<strong>in</strong>st <strong>the</strong> girl child. More importantly, <strong>the</strong> decl<strong>in</strong>e <strong>in</strong> IMR does not appear tobe high <strong>in</strong> <strong>the</strong> backward states that are <strong>the</strong> regions of concern, reflect<strong>in</strong>g <strong>the</strong> priority of <strong>the</strong>public agencies. Underst<strong>and</strong>ably, <strong>the</strong> CV <strong>in</strong> medical facilities reflect<strong>in</strong>g <strong>the</strong> <strong>in</strong>terstate <strong>in</strong>equalitycan be seen as go<strong>in</strong>g up <strong>in</strong> recent times.Table 6: Annual estimates of <strong>in</strong>fant mortality rate for men <strong>and</strong> women <strong>in</strong> rural <strong>and</strong> urbanareas of States <strong>and</strong> UTsRuralUrbanMaleFemale2005 2011 2005 2011 2005 2011 2005 2011<strong>India</strong> 64 48 40 29 56 43 61 46Andhra Pradesh 63 47 39 31 56 40 58 46Assam 71 58 39 34 66 55 69 5621