Effectiveness of Regional Collaborative Governance on Atmospheric Governance Performance Improvement
Juying Zeng, David Sanz-Rivas, Jiaye Chen, Carlos Lassala
Keywords:
Air pollution, Atmospheric collaborative governance, Social cooperation network, Atmospheric governance performance, Spatial Durbin model
Abstract:
Addressing the trans-regional and dynamic transmission characteristics of air pollution is a considerable challenge for sustainable environmental management. Based on the sample data from 26 Yangtze River Delta (YRD) cities in the period of 2015-2022, this study employed a series of statistical and econometric methods, including spatial Markov chain, social cooperation network, weighted entropy method and spatial Durbin econometric model, to measure the dynamic inter-regional distribution shifts of air pollutants in YRD, the collaborative network involvement of the regional atmospheric collaborative governance and its effectiveness on atmospheric governance performance. It found a strong positive correlation among pollutants across different locations within YRD cities. The network structure of the collaborative regulation in YRD remains unstable with the cooperation density remaining at a low level despite a notable annual increase in collaborative intensity. The atmospheric governance performance has yielded substantially outstanding results. Furthermore, the effectiveness of regional atmospheric collaborative governance on atmospheric governance performance holds true, with the effects being more obvious in cities with more developed urbanisation and economy. Our research provides an important reference for the collaborative environmental regulation in other regions and China to achieve effective air pollution control and economic growth.
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10.7441/joc.2025.02.09
Zeng, J., Sanz-Rivas, D., Chen, J., & Lassala, C. (2025). Effectiveness of regional collaborative governance on atmospheric governance performance improvement. Journal of Competitiveness, 17(2). https://doi.org/10.7441/joc.2025.02.09
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