MGNREGA_SAMEEKSHA
MGNREGA_SAMEEKSHA
MGNREGA_SAMEEKSHA
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Bibliography 107<br />
First it looks at the targeting of the programme and the characteristics of those who self select into it. The study finds<br />
that poorer and lower caste households are more likely to register as are those affected by drought. The author also finds<br />
that having more than five influential relatives increases the probability of registration by 10.3 percentage points. It attempts<br />
next to estimate the impact of programme participation on the children in participating households, looking specifically at<br />
anthropometric scores as indicators of health outcomes, and the incidence of child labour. While there seems to be a positive<br />
correlation between programme participation and health outcomes, this does not remain robust across specifications. On the<br />
other hand the study finds that programme registration reduces the probability of a boy entering child labour by 13.4 per cent<br />
points and programme take up reduces it for girls by 8.19 per cent points. The author finds that the targeting efficiency of the<br />
programme seems to be largely effective and it seems to offer a viable security net for households with variable employment<br />
opportunities. It also seems to have an important effect on children, further strengthening the programme’s significance<br />
Vaidya, C. S., and R. Singh, Impact of NREGA on Wage Rate, Food Security and Rural Urban Migration in Himachal. Shimla:<br />
Agro-economic Research Centre. Report submitted to the Ministry of Agriculture, 2011.<br />
Abstract: The study makes an assessment of <strong>MGNREGA</strong> with respect to the extent of employment generation, wage differentials,<br />
rural to urban migration, asset creation, determinants of participation and implementation in five districts of Himachal<br />
Pradesh. The main findings of the study suggested that out-migration was mainly the result of higher wages prevailing in the<br />
nearby towns; <strong>MGNREGA</strong> enhanced food security, provided protection against extreme poverty, helped to reduce distress<br />
migration and indebtedness and gave greater economic independence to women and purchasing power to the local economy.<br />
In terms of work, majority of the respondents found that there were good quality assets created under <strong>MGNREGA</strong>.<br />
Vatta, K., D. K. Grover, and T. Grover, ‘Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in<br />
Punjab’, Report submitted to Ministry of Agriculture, Ludhiana: Agro-Economic Research Center, Punjab Agriculture<br />
University, 2011.<br />
Abstract: The paper makes an assessment of <strong>MGNREGA</strong> with respect to the extent of employment generation, its effect on<br />
rural to urban migration, asset creation, determinants of participation and implementation in Punjab. Primary data was<br />
collected from 300 households in five districts of the State where the Scheme was implemented in different phases. It was found<br />
that family size, asset value, household income and stage of implementation of <strong>MGNREGA</strong> were significant indicators of<br />
household participation. At the worker level age and education were not found to be significant for participation.<br />
The wages of casual labour have increased due to an overall decline in the supply of labour to the agriculture sector. These<br />
changes have been the reason for the significant decline in the inflow of labour into Punjab. Keeping in mind the present<br />
number of job-seekers and their future growth, the employment opportunities under <strong>MGNREGA</strong> have to be increased by<br />
almost 11 times in Punjab.<br />
Verma, S., ‘Labour Markets Dynamics in Post-MGNREGS Rural India’, Unpublished note shared with the Ministry of<br />
Rural Development, 2012.<br />
Abstract: MGNREGS deeply influences and is, in turn, influenced by the rural farm and non-farm labour markets. In 2009–10<br />
and then again 2010–11, IWMI deployed more than 50 masters students from the Institute of Rural Management, Anand<br />
(IRMA) to understand how <strong>MGNREGA</strong> and village labour markets interact. The students covered 26 villages in 11 districts<br />
of nine States in 2009 and 13 villages in 11 districts of nine states in 2010. In addition, eight IRMA students surveyed village<br />
leaders, labourers and farmers in 75 villages from Gujarat, Rajasthan, Bihar and Kerala. This note synthesises and summarises<br />
the lessons from these field studies.<br />
Verma, S., ‘Multiple Use Water Services in India: Scaling up Community-based MUS through <strong>MGNREGA</strong>’, International<br />
Water Management Institute (IWMI), 2011.<br />
Abstract: Data from a study of 140+ best-performing MGNREGS water assets in 75 villages across eight districts of Bihar,<br />
Gujarat, Kerala and Rajasthan shows that, on an average, these assets were able to recover their investments in a little over a<br />
year. We also found that MGNREGS implementation deeply influences and is, in turn, influenced by the farm and non-farm<br />
labour markets. While the wage-benefits of MGNREGS are clear from the data on number of person-days of employment<br />
generated, the quantification of non-wage benefits and their distribution requires deeper investigation. Wherever village<br />
communities have taken enthusiastically to the idea of MGNREGS and where their enthusiasm has been supported by an able,<br />
well-staffed administration and capable local governance institutions and leadership, the results have been exemplary. IWMI