Objectives: This study explores the patterns and determinants of seasonal migration of human resources in India. Moreover, the paper also attempts to review the emerging literature in the contemporary migration situation on the wake-up COVID-19 pandemic. Method: This study used the 64th National Sample Survey Organization data on employment and unemployment survey 2007-08. The statistical tools have used, like, percentage and cross-tabulation. The Binary Logistic Regression has used to understand the factors associated with the probability of seasonal migration in India. Findings: The study found that the majority of seasonal migration has undoubtedly from socially backward communities, low income, and residing in rural areas. However, if we look at the relative change in the odds of seasonal migration for different layers of the socio-economic strata, it is found that those with lower socio-income more likely to migrate seasonally for livelihoods. Novelty: This study looks at the empirical rigour with a particular focus on the systematic review of seasonal labour migration across the country, focusing on Covid-19. This study gives rise to engage with better policy implication for seasonal migration, which constitutes a larger segment of total migrants in the country.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.