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Air Pollution and Migration Intention: Evidence from the Unified National Graduate Entrance Examination

Using a unique dataset of applicants for the Unified National Graduate Entrance Examination (UNGEE) of 76 double first-class universities in China, this paper evaluates the causal impact of air pollution on the migration intentions of highly educated talents by exploiting an instrumental variable ap...

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Detalles Bibliográficos
Autores principales: Xu, Chao, Wang, Xiulei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323777/
https://www.ncbi.nlm.nih.gov/pubmed/35886664
http://dx.doi.org/10.3390/ijerph19148813
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author Xu, Chao
Wang, Xiulei
author_facet Xu, Chao
Wang, Xiulei
author_sort Xu, Chao
collection PubMed
description Using a unique dataset of applicants for the Unified National Graduate Entrance Examination (UNGEE) of 76 double first-class universities in China, this paper evaluates the causal impact of air pollution on the migration intentions of highly educated talents by exploiting an instrumental variable approach based on annually average wind speed. We find that a 1 ug/m(3) increase in the annually average PM(2.5) concentration in destination cities decreases the number of applicants for the UNGEE of elite universities by about 250, but better university quality and more abundant educational resources can weaken the effect partially. A heterogeneity analysis indicates that the university-city choices of applicants are shifting from north to south. Our findings suggest that air pollution may lead to the loss of high human capital.
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spelling pubmed-93237772022-07-27 Air Pollution and Migration Intention: Evidence from the Unified National Graduate Entrance Examination Xu, Chao Wang, Xiulei Int J Environ Res Public Health Article Using a unique dataset of applicants for the Unified National Graduate Entrance Examination (UNGEE) of 76 double first-class universities in China, this paper evaluates the causal impact of air pollution on the migration intentions of highly educated talents by exploiting an instrumental variable approach based on annually average wind speed. We find that a 1 ug/m(3) increase in the annually average PM(2.5) concentration in destination cities decreases the number of applicants for the UNGEE of elite universities by about 250, but better university quality and more abundant educational resources can weaken the effect partially. A heterogeneity analysis indicates that the university-city choices of applicants are shifting from north to south. Our findings suggest that air pollution may lead to the loss of high human capital. MDPI 2022-07-20 /pmc/articles/PMC9323777/ /pubmed/35886664 http://dx.doi.org/10.3390/ijerph19148813 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Chao
Wang, Xiulei
Air Pollution and Migration Intention: Evidence from the Unified National Graduate Entrance Examination
title Air Pollution and Migration Intention: Evidence from the Unified National Graduate Entrance Examination
title_full Air Pollution and Migration Intention: Evidence from the Unified National Graduate Entrance Examination
title_fullStr Air Pollution and Migration Intention: Evidence from the Unified National Graduate Entrance Examination
title_full_unstemmed Air Pollution and Migration Intention: Evidence from the Unified National Graduate Entrance Examination
title_short Air Pollution and Migration Intention: Evidence from the Unified National Graduate Entrance Examination
title_sort air pollution and migration intention: evidence from the unified national graduate entrance examination
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323777/
https://www.ncbi.nlm.nih.gov/pubmed/35886664
http://dx.doi.org/10.3390/ijerph19148813
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