Determinants of migration decision-making for rural households: a case study in Chongqing, China

Sihong Xiong (), Ya Wu (), Shihai Wu (), Fang Chen () and Jianzhong Yan ()
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Sihong Xiong: Southwest University
Ya Wu: Southwest University
Shihai Wu: Southwest University
Fang Chen: Zhangzhou Land Acquisition Reserve Center
Jianzhong Yan: Southwest University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 104, issue 2, No 22, 1623-1639

Abstract: Abstract Migration is a global strategy for promoting economic growth and sustainable urbanization, specifically in developing countries. It is critical for governments to understand the determinants of migration decision for rural households so that proper migration measures can be taken. Different from previous studies that mainly focus on migration determinants without considering migration patterns, this paper divides migration patterns into three types—no migration, labor migration, and family migration, and examines the determinants for “no migration–migration” and “labor migration–family migration,” respectively. The binary logistic model is adopted to analyze the impacts of various migration factors in Chongqing city. Results show that: (1) per capita non-agricultural income plays the most significant positive role in driving “no migration–migration.” This is followed by the number of household labor force, whereas road accessibility is the key factor for inhibiting migration. (2) The key contributory factor for “labor migration–family migration” is per capita non-agricultural income. This is followed by the residential distance from towns, whereas the number of household labor force and the average age of labor force are restraining factors. The research results can effectively provide scientific reference for local governments to advance the transfer of the surplus rural labor force to promote sustainable urbanization.

Keywords: Sustainable urbanization; Labor migration; Family migration; Determinants; Binary logistic model; Chongqing (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11069-020-04236-w

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