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Abstract:
Intensive air pollution prevention and control actions are not only a necessary measure to improve air quality and enhance people's sense of well-being but also serve as an effective way to facilitate the overall green transformation of the society and economy and to 'build a clean and beautiful world together.' Using panel data from Chinese cities spanning 2007 to 2021, this study develops a progressive difference-in-difference model that is grounded on China's air quality ecological compensation (AQEC) policies. From the perspective of achieving a multidimensional 'win–win–win' situation in economy, ecology, and welfare, this study explores the influence and its action mechanisms of AQEC on environmental welfare performance (EWP). The findings indicate that AQEC significantly enhances EWP and fosters a 'win–win–win' scenario for the economy, ecology, and welfare. Further mechanism tests reveal that the effects of AQEC are primarily transmitted through macro and micro mechanisms. At the macro level, improvements in EWP are driven by the optimization of resource allocation and energy structure. At the micro level, the expansion of the employment scale and the improvement of the residential environment have a positive influence on EWP. Heterogeneity analysis shows that AQEC is particularly effective in enhancing EWP in nonresource-based cities, nonkey environmental protection focus cities, service-oriented cities, and cities with higher levels of green innovation. Moreover, the New Energy Demonstration City pilot policy significantly strengthens the effect of AQEC on enhancing EWP, creating a synergistic policy effect. This study offers ideas for further promoting ecological compensation policies in the field of atmospheric pollution control as well as additional theoretical support and empirical evidence backing for attaining sustainable development and enhancing resident environmental welfare. © 2024 Elsevier Ltd
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Source :
Journal of Cleaner Production
ISSN: 0959-6526
Year: 2025
Volume: 489
1 1 . 1 0 0
JCR@2022
Cited Count:
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 8
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