Air pollution and labour productivity: firm-level spatial evidence from China
As environmental degradation increasingly threatens sustainable growth, understanding the impact of air pollution on firm performance has become a critical area of research. This study investigates the influence of delicate particulate matter (PM _1 ) on labour productivity, utilising firm-level dat...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | Environmental Research Communications |
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| Online Access: | https://doi.org/10.1088/2515-7620/adeceb |
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| author | Yi Zhang Weijun Liang Yongfu Liang |
| author_facet | Yi Zhang Weijun Liang Yongfu Liang |
| author_sort | Yi Zhang |
| collection | DOAJ |
| description | As environmental degradation increasingly threatens sustainable growth, understanding the impact of air pollution on firm performance has become a critical area of research. This study investigates the influence of delicate particulate matter (PM _1 ) on labour productivity, utilising firm-level data from Chinese A-share listed companies and employing spatial econometric models alongside a bespoke firm-level spatial weight matrix. To address endogeneity issues, the temperature inversion variable is instrumental in ascertaining the causal effect of PM _1 pollution. The findings indicate that PM _1 significantly diminishes labour productivity in the affected firms, generating detrimental spatial spillover effects on neighbouring firms Additionally, further analysis of heterogeneity demonstrates that state-owned and labour-intensive enterprises exhibit reduced susceptibility to pollution shocks. In contrast, non-state-owned, technology-intensive, and capital-intensive firms experience more substantial losses in labour productivity. These insights emphasise the necessity to customise environmental policies and industrial support measures according to the distinctive characteristics of individual firms. |
| format | Article |
| id | doaj-art-29a2d5c4e55b4d7d87e793a120ec0e82 |
| institution | DOAJ |
| issn | 2515-7620 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Communications |
| spelling | doaj-art-29a2d5c4e55b4d7d87e793a120ec0e822025-08-20T03:15:27ZengIOP PublishingEnvironmental Research Communications2515-76202025-01-017707502310.1088/2515-7620/adecebAir pollution and labour productivity: firm-level spatial evidence from ChinaYi Zhang0https://orcid.org/0000-0002-3585-9590Weijun Liang1https://orcid.org/0009-0007-9406-9883Yongfu Liang2School of Economics, Guangdong University of Technology , Guangzhou, Guangdong, People’s Republic of China; Key Laboratory of Digital Economy and Data Governance, Guangdong University of Technology , Guangzhou, Guangdong, People’s Republic of ChinaSchool of Economics, Guangdong University of Technology , Guangzhou, Guangdong, People’s Republic of ChinaSchool of Economics, Guangdong University of Technology , Guangzhou, Guangdong, People’s Republic of China; Key Laboratory of Digital Economy and Data Governance, Guangdong University of Technology , Guangzhou, Guangdong, People’s Republic of ChinaAs environmental degradation increasingly threatens sustainable growth, understanding the impact of air pollution on firm performance has become a critical area of research. This study investigates the influence of delicate particulate matter (PM _1 ) on labour productivity, utilising firm-level data from Chinese A-share listed companies and employing spatial econometric models alongside a bespoke firm-level spatial weight matrix. To address endogeneity issues, the temperature inversion variable is instrumental in ascertaining the causal effect of PM _1 pollution. The findings indicate that PM _1 significantly diminishes labour productivity in the affected firms, generating detrimental spatial spillover effects on neighbouring firms Additionally, further analysis of heterogeneity demonstrates that state-owned and labour-intensive enterprises exhibit reduced susceptibility to pollution shocks. In contrast, non-state-owned, technology-intensive, and capital-intensive firms experience more substantial losses in labour productivity. These insights emphasise the necessity to customise environmental policies and industrial support measures according to the distinctive characteristics of individual firms.https://doi.org/10.1088/2515-7620/adecebair pollutionlabour productivityspatial Durbin modelspatial spilloversmicroenterprises |
| spellingShingle | Yi Zhang Weijun Liang Yongfu Liang Air pollution and labour productivity: firm-level spatial evidence from China Environmental Research Communications air pollution labour productivity spatial Durbin model spatial spillovers microenterprises |
| title | Air pollution and labour productivity: firm-level spatial evidence from China |
| title_full | Air pollution and labour productivity: firm-level spatial evidence from China |
| title_fullStr | Air pollution and labour productivity: firm-level spatial evidence from China |
| title_full_unstemmed | Air pollution and labour productivity: firm-level spatial evidence from China |
| title_short | Air pollution and labour productivity: firm-level spatial evidence from China |
| title_sort | air pollution and labour productivity firm level spatial evidence from china |
| topic | air pollution labour productivity spatial Durbin model spatial spillovers microenterprises |
| url | https://doi.org/10.1088/2515-7620/adeceb |
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