Employment demand and generation under MGNREGA in India
Examining external and internal shocks with special reference to climate change and Covid-19 pandemic
Bibliographic Data
| ID | 6005804 |
|---|---|
| Authors | Alok Ranjan Mohanty (0009-0002-4182-8325, Indian Institute of Technology Kharagpur), Narayan Chandra Nayak (0000-0003-0416-6860, Indian Institute of Technology Kharagpur), Bimal Kishore Sahoo (0000-0003-0033-7626, Indian Institute of Technology Kharagpur) |
| Year | 2025 |
| Volume | 52 |
| Issue | 5 |
| Pages | 661-678 |
| Publication date | 2025-04-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Social Economics (JOURNAL) |
| Journal identifiers | ISSN: 0306-8293 • E-ISSN: 1758-6712 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/ijse-02-2024-0132 |
| OpenAlex | W4401909147 |
| Language | EN |
| References cited | 33 |
Purpose Despite India achieving many milestones under MGNREGA, the external and internal shocks result in below potential outcomes in employment demand and generation. This study examines how these shocks matter and how the migration-prone regions perform. Design/methodology/approach This study, employing district-level data from 2018 to 2021, investigates how climate change and COVID-19 have affected the employment demand and supply. We applied RE-GLS and IV-2SLS regressions to examine the effects of shocks on employment demand and generation, respectively. The difference in difference panel model is employed to test the spatial effects of the pandemic. Further, we used RE-GLS and extended regression model to examine how external shocks interacting with migration affect unemployment rates. Findings It was found that the pandemic increased employment demand and generation. This reflects the adverse effects of the pandemic and the swift action by the government. However, the responses were possibly different during climate shocks. The wage differential increased employment demand. However, demand decreased due to poor support from the support staff. The employment generation was higher in migration-prone districts, indicating that seasonal migration, being a lean-season phenomenon, continues to occur despite employment generation. Originality/value This study contributes to the literature in several ways. It captures spatial variations while examining the impact of climate change and COVID-19. It investigates the performance of MGNREGA in migration-prone areas. In effect, the findings provide policymakers with greater insight into the issues. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0132
2019-20 coronavirus outbreak · Biology · Climate change · Development economics · Economics · Pandemic · Agricultural risk and resilience · COVID-19 Pandemic Impacts · Employment and Welfare Studies · Medicine · Ecology · Virology
Difference-in-Differences with multiple time periods
Rural non-farm employment diversification in India
MGNREGA in the Drought-Affected Talukas in Karnataka
Socio-economic impact of Covid-19 on the informal sector in India
MGNREGA, Power Politics, and Computerization in Andhra Pradesh
Can public works increase equilibrium wages? Evidence from India’s National Rural Employment Guarantee
Post-clientelistic initiatives in a patronage democracy
Recent Social Security Initiatives in India
Income and Health in Tanzania. An Instrumental Variable Approach
The “Discouraged Worker Effect” in Public Works Programs
Spatially Heterogeneous Effects of a Public Works Program
Why Propensity Scores Should Not Be Used for Matching
| Citation velocity | historical |
|---|---|
| Highly cited | No |