Determinants of NREGA employment and its distribution across space and time: an inter-district analysis of West Bengal in India

Soumyendra Datta () and Krishna Singh

International Journal of Economics and Business Research, 2016, vol. 12, issue 3, 249-269

Abstract: One major index of judging the performance of NREGA program is to focus on the extent of employment days created together with the formation of local asset. A dynamic optimisation framework has been used to focus on the steady state optimal condition to maximise the number of employment days coherent with the objective of allaying poverty and generating local asset. The identification of determinants of employment days and local asset are supposed to add valuable information in this context. A simultaneous equation model has been used to show the endogenous relationship between per capita employment days and number of asset creation work. The pattern of concentration with respect to employment days generated across the districts over time has been found out by using Rosenbluth index. The number of employment days is crucially governed by the extent and smoothness in the conduit of fund flow, asset creation, households having job card and involved in the program as well as time gap in payments. Convergence of different rural development schemes together with certain earmarked percentage would allow for substantial demand driven employment throughout the year.

Keywords: NREGA; National Rural Employment Guarantee Act; employment days; asset creation; optimisation; West Bengal; India; poverty; local assets; poor areas; rural development. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=80334 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijecbr:v:12:y:2016:i:3:p:249-269

Access Statistics for this article

More articles in International Journal of Economics and Business Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().