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Air pollution, heterogeneity, and subjective well-being- Evidence from China's micro survey data219.00 kB
Preprint VersionCC BY V4.0, Open Access
Preprint
Air pollution, heterogeneity, and subjective well-being: Evidence from China's micro survey data
Research Square, Vol.15 February 2022, p.1
Research Square Company
2022
Abstract
Previous studies have not paid much attention to the heterogeneous effects of air pollution on subjective well-being. By matching the 2018 China Labour-Force Dynamics Survey data (CLDS2018) with urban air pollution data, we empirically examine the impact of air pollution on subjective well-being across pollution levels, income levels, gender, age, education as well as city size and region. Empirical analysis shows that an increase in air pollution has a negative and statistically signicant impact on the well-being and the effect varies considerably across pollution levels, income levels, age, gender, education level, city size and region. Re-estimation using air pollution data released by the U.S. embassy in China shows that the empirical results presented in this paper are robust. After accounting for potential endogeneity and selection bias, PM2.5 continues to have a signicant negative impact on the well-being of residents. Our analysis shows that air pollution is an important contributor to the Easterlin paradox, and (in the process of air pollution control) attention needs to be paid to both individual heterogeneity and urban differences.
Details
- Title
- Air pollution, heterogeneity, and subjective well-being: Evidence from China's micro survey data
- Authors
- Yunjiang Yu (Author) - Shanghai Lixin University of Accounting and FinanceXing Shu (Author) - Shanghai Lixin University of Accounting and FinanceSajid Anwar (Author) - University of the Sunshine Coast, Queensland, Indigenous and Transcultural Research Centre - LegacySibo Yang (Author) - Shanghai Lixin University of Accounting and Finance
- Publication details
- Research Square, Vol.15 February 2022, p.1
- Publisher
- Research Square Company
- Date published
- 2022
- DOI
- 10.21203/rs.3.rs-1264835/v1
- ISSN
- 2693-5015
- Copyright note
- This work is licensed under a CC BY 4.0 License.
- Organisation Unit
- School of Business and Creative Industries; Indigenous and Transcultural Research Centre; University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99620508002621
- Output Type
- Preprint
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