Luong, Tuan Anh, Nguyen, Manh-Hung, Khuong Truong, N.T. and Le, Kien (2022) Rainfall variability and internal migration: the importance of agriculture linkage and gender inequality. TSE Working Paper, n. 22-1373

[thumbnail of wp_tse_1373.pdf]
Preview
Text
Download (461kB) | Preview

Abstract

This paper investigates the extent to which exposure to climate volatility can in-fluence individual migration decisions in Vietnam, based on the historical rainfall data from 70 weather stations in Vietnam and the Vietnam Access to Resources House-hold Survey. Utilizing the exogenous variation in the rainfall deviation from the local norms within an individual fixed-effects framework, we uncover the negative associa-tion between rainfall and the probability of individual migration. Individual migration probability drops by 7.5 percentage points when the amount of rainfall relative to the long-run local average doubles. This reduction could potentially be driven by individ-uals who work in the agricultural sector and are less likely to migrate as more rainfall could increase their agricultural incomes. Furthermore, our heterogeneity analyses sug-gest that rainfall shocks could perpetuate gender inequality in Vietnam since women cannot cope with climatic shocks through migration. Policy-makers could shift their focus on flood control and water management in affected areas, where people’s liveli-hoods depend on agriculture, to efficiently address issues related to climate-induced internal migration.

Item Type: Monograph (Working Paper)
Language: English
Date: October 2022
JEL Classification: O15 - Human Resources; Human Development; Income Distribution; Migration
Q26 - Recreational Aspects of Natural Resources
Q54 - Climate; Natural Disasters
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 12 Oct 2022 08:07
Last Modified: 07 Jun 2024 08:19
OAI Identifier: oai:tse-fr.eu:127429
URI: https://publications.ut-capitole.fr/id/eprint/46354
View Item

Downloads

Downloads per month over past year