Air Pollution and Migration: Evidence From China's Dynamic Monitoring Survey Data

Yantuan Yu, Weidong Zhao, Xiuzhen Li, Yun Zhang, Xiao Miao

Source Title: Journal of Global Information Management (JGIM)30(6)

ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781668425206|DOI: 10.4018/JGIM.300816

MLA

Yu, Yantuan, et al. "Air Pollution and Migration: Evidence From China's Dynamic Monitoring Survey Data." JGIM vol.30, no.6 2022: pp.1-24. http://doi.org/10.4018/JGIM.300816

APA

Yu, Y., Zhao, W., Li, X., Zhang, Y., & Miao, X. (2022). Air Pollution and Migration: Evidence From China's Dynamic Monitoring Survey Data. Journal of Global Information Management (JGIM), 30(6), 1-24. http://doi.org/10.4018/JGIM.300816

Chicago

Yu, Yantuan, et al. "Air Pollution and Migration: Evidence From China's Dynamic Monitoring Survey Data," Journal of Global Information Management (JGIM) 30, no.6: 1-24. http://doi.org/10.4018/JGIM.300816

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Abstract

This paper investigates the impact of air pollution on China’s internal migration using the Migrant Population Dynamic Monitoring Survey and Air Quality Index (AQI) data in 2014. Binary response models suggest that, on average, the probability of the willingness to leave will grow by approximately 0.1 if the average value of AQI is increased by 100 points. The migration effect of sever air pollution still holds using two-stage least squares estimation. In particular, compared to inter-province and intra-city within the same province, interviewees are more willingness to leave in intra-county with the same city. Besides, individuals from the cities in central and western regions, the listed key environmental protection (KEP) cities and cities not listed as resource-based (RB) cities have stronger willingness to leave than those from the cities in eastern region, Non-KEP cities and RB cities. Our results are robust to alternative measures of air pollution and models specification.