Temperature and Migration Intention: Evidence from the Unified National Graduate Entrance Examination in China

Yan Chen, Xiaohong Chen, Hongshan Ai and Xiaoqing Tan ()
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Yan Chen: School of Business, Central South University, Changsha 410083, China
Xiaohong Chen: School of Business, Central South University, Changsha 410083, China
Hongshan Ai: School of Economics and Trade, Hunan University, Changsha 410079, China
Xiaoqing Tan: School of Economics and Trade, Hunan University, Changsha 410079, China

IJERPH, 2022, vol. 19, issue 16, 1-23

Abstract: This paper estimates the impact of destination cities’ temperature on the migration intentions of highly educated talents. Using a unique manually collected dataset of applicants for the Unified National Graduate Entrance Examination (UNGEE) of double first-class universities in China, we find that both hot (over 25 °C) and cold (below 5 °C) days in the previous 3 months before the registration date significantly decrease the number of applicants for the UNGEE of double first-class universities, relative to a moderate (20–25 °C) day. Heterogeneity analysis shows that such effects differ by destination universities’ quality and climate regions. We also find that destination cities’ income level can mitigate the negative effects of hot days and cold days on the number of applicants. These findings add to the existent literature by examining an understudied relationship between temperature and migration intention.

Keywords: climate change; temperature; highly educated talents; migration intention (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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