ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Atmosphere and Climate

Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1620499

Long-term adaptation mitigates the promotion effect of air pollution on short-term population movements

Provisionally accepted
  • 1Institute of Energy, Environment and Economy, Tsinghua University, Beijing, China
  • 2School of Foreign Languages, Renmin University of China, Beijing, China
  • 3Agricultural Economics Department, Faculty of Agriculture, Fayoum University, Fayoum, Egypt

The final, formatted version of the article will be published soon.

While permanent migration has been extensively studied as a health-protective strategy for residents to avoid air pollution, national-level evidence regarding the short-term movement as a potentially more cost-effective measure remains limited. This study used the instrumental variable approach to empirically examine the effect and mechanism of air pollution on short-term population movements in China by using a cross-city daily panel dataset. Our results showed that air pollution significantly promotes short-term population movements. A 100-unit increase in the air quality index at the origin city relative to the destination city led to an 8% rise in short-term movements. Residents tended to relocate only after pollution events occurred. The willingness to temporarily escape from air pollution was stronger under lower economic constraints, with more recreational opportunities and more available time. Moreover, long-term adaptation to historical air pollution weakened residents' willingness to leave in response to local pollution events, reducing the potential health benefits of shortterm movements by 44.49%. This study provides valuable insights into the motivations and mechanisms of residents' decisions to temporarily relocate to feasibly and flexibly reduce pollution exposure and related health risks.

Keywords: Air Pollution, short-term movements, Long-term adaptation, Health benefits, values of a statistical life, Instrumental variable approach

Received: 30 Apr 2025; Accepted: 20 Jun 2025.

Copyright: © 2025 Luo, Yan, Wang and Ali. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Bowen Wang, Institute of Energy, Environment and Economy, Tsinghua University, Beijing, China

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