Extreme Weather and Inter-State Migration in India

Richa Richa, Ilan Noy and Subir Sen

No 10919, CESifo Working Paper Series from CESifo

Abstract: Extreme weather induced migration is a growing concern for low and middle income countries due to the increased variability in the weather and the increase in the number of extreme weather disasters associated with climate change. The objective of this paper is to examine the inter-linkages between weather, disasters, and migration, in India. To examine the bidirectional flow of migrants across Indian states, we estimate gravity models with Poisson Pseudo Maximum Likelihood (PPML), in line with previous studies’ methodology. We find that agriculture-dependent states and states with low level of human development are more likely to face out-migration driven by weather variations and disasters. Internal migration is seasonal, temporary and often short-distance in nature. We find statistical evidence that repeated exposure of vulnerable populations to extreme weather and disasters may ultimately lead to more permanent migration. This raises urgent questions concerning the efficacy of disaster risk management and climate change adaptation policies at the sub-national level.

Keywords: climate; disasters; bilateral migration; NELM; gravity model (search for similar items in EconPapers)
JEL-codes: O15 Q54 (search for similar items in EconPapers)
Date: 2024
New Economics Papers: this item is included in nep-agr, nep-dev, nep-env, nep-mig and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.cesifo.org/DocDL/cesifo1_wp10919.pdf (application/pdf)

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:ces:ceswps:_10919

Access Statistics for this paper

More papers in CESifo Working Paper Series from CESifo Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().