India’s Rural Employment Guarantee Scheme – How does it influence seasonal rural out-migration decisions?

Author(s):  
Amarendu Nandy ◽  
Chhavi TIwari ◽  
Sayantan Kundu
2011 ◽  
Author(s):  
Janani Rangarajan ◽  
Rajesh Kumar ◽  
Sriram Narayanamurthy ◽  
Suma Prashant ◽  
Ashok Jhunjhunwala

2017 ◽  
Vol 44 (10) ◽  
pp. 1361-1376
Author(s):  
Malik Altaf Hussain

Purpose The purpose of this paper is to look at the socio-economic determinants of employment in Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) in Jammu and Kashmir (J&K) at both household and individual level. My results show that there is no discrimination in provision of employment to backward classes. Out of all the Indian States, J&K has lowest female participation in the scheme. My results show that women are discriminated against in provision of employment. Worksite facilities, like creche, can positively affect female participation in the scheme. Design/methodology/approach The author uses multi-variate OLS regression model to analyse the data collected through primary survey of three heterogenous villages of district Ganderbal of J&K. Findings The author finds clear evidence of discrimination against females in provision of employment along with slight evidence of elite capture of the scheme. The author also finds negative relationship between the number of children in a household and the number of workdays which highlights the importance of worksite facilities to increase female and overall participation for the scheme to be successful. Research limitations/implications The possible limitation could be small sample size but given that this is the first study of its kind in the J&K State, researchers can build up on it. Originality/value This is one of the first research papers which looks at the performance of MGNREGS in J&K in such detail. No comprehensive study of this magnitude and rigour has been undertaken in J&K till now.


2018 ◽  
Vol 12 (2) ◽  
pp. 282-297 ◽  
Author(s):  
Rahul Mukherji ◽  
Seyed Hossein Zarhani ◽  
K. Raju

This article argues that the Indian state can develop the capacity to deliver economic rights in a citizen-friendly way, despite serious challenges posed by patronage politics and clientelism. Clientelistic politics reveals why the Indian state fails to deliver the basic rights such as the right to work, health and education. We argue that the ability of the state to deliver owes a lot to bureaucratic puzzling and political powering over developmental ideas in a path-dependent way. We combine powering and puzzling within the state to argue the case for how these ideas tip after they have gained a fair amount of traction within the state. We test the powering and puzzling leading to a tipping point model on the implementation of the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) in undivided Andhra Pradesh (AP). How and why did undivided AP develop the capacity to make reach employment to the rural poor, when many other states failed to implement the right to work in India?


2017 ◽  
Vol 44 (2) ◽  
pp. 181-194 ◽  
Author(s):  
Sarabjeet D. Natesan ◽  
Rahul Ratnakar Marathe

Purpose How can efficiency of a welfare scheme be measured? The purpose of this paper is to develop an efficiency evaluation model, the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) implementation efficiency model (MIEM), to evaluate the rural employment guarantee scheme in India. Design/methodology/approach MIEM employs data envelopment analysis (DEA) to compare relative efficiency of MGNREGA implementing states. It uses policy implementation process as a central “black-box” about which not much can be said, to account for state-wise implementation differences. Findings Based on administration, funds, expenditure, employment created, works executed and completed, women beneficiaries and households completing 100 days of employment, the MIEM captures current implementation efficiency and provides suggestions to propel inefficient states toward efficiency. Practical implications DEA has operationalized MGNREGA evaluation. As a decision support system, MIEM assists evaluators to develop guidelines from better performing states. It is anticipated that it will facilitate scaling up MGNREGA in inefficient states. Social implications The model developed here can be applied to diverse evaluation conditions thus leading to better utilization of scarce resources. Originality/value This paper is one of few to use DEA to evaluate MGNREGA, and is one of the first to evaluate all India implementing states on efficiency.


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