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COVID-19 disaster and employment generation program in a developing economy
Sarbajit Chaudhuri1, Sushobhan Mahata1, Salonkara Chaudhuri2
1Department of Economics, University of Calcutta, Kolkata, India.
Rural employment programs designed to counter Covid-19 reverse migration can fail, worsening unemployment and welfare. A composite policy is recommended to mitigate disaster impacts and improve outcomes.
Area of Science:
- Development Economics
- Labor Economics
- Public Policy
Background:
- Covid-19 induced significant reverse migration of labor to rural areas.
- Employment generation programs were implemented as a policy response.
- The effectiveness and welfare implications of these programs require analysis.
Purpose of the Study:
- To analyze the failure of rural employment generation programs in response to Covid-19 induced reverse migration.
- To evaluate the impact of different program implementation modes on unemployment and welfare.
- To identify conditions under which such programs may become counterproductive.
Main Methods:
- Development of a three-sector Harris-Todaro (HT)-type model for a developing economy.
- Distinction between two alternative modes of program implementation.
- Welfare measurement using Sen's inequality-sensitive index.
- Construction of numerical examples to validate conditions for counterproductive outcomes.
Main Results:
- A policy solely targeting unemployment reduction fails, increasing unemployment and worsening welfare.
- Policies combining rural infrastructure development and employment creation may not worsen social welfare.
- Rural employment programs can be counterproductive if the urban region is more labor-abundant than the rural region.
Conclusions:
- The design and implementation strategy of rural employment programs are critical for their success.
- Focusing solely on reducing unemployment can lead to adverse outcomes.
- A composite policy approach is advocated to minimize the negative impacts of the Covid-19 disaster and improve welfare.
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