Abstract
To clarify the current situation of haze emission and governance in China, the study analyzed the characteristics of spatial correlation structure and synergistic governance development of the haze emission of 31 provinces in China, based on social network analysis and distance synergistic model. The results indicated that the spatial correlation of inter-provincial haze emission in China presented a typical “central–marginal” network structure. The provinces in the network center were mostly located in the Beijing–Tianjin–Hebei region and the Yangtze River Delta region. The synergistic governance development of haze in China showed a lower level and fluctuating upward trend. In addition, the increase of network density, the decline of network grade, and the decrease of network efficiency would all improve the level of synergistic governance development. Therefore, focusing on the haze of the central provinces, improving the network structure, and improving regional synergy are important measures for effective governance. This paper improves the previous research model, considers the impact of economic and demographic factors on haze pollution, establishes a new model for analyzing spatial correlation structure of haze and calculating the synergistic governance level of haze, and designs feasible ways to raise the synergistic governance level of haze in China.
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Acknowledgments
The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (71874189, 71774158, 71804182), China’s Post-doctoral Science Fund (2015M580484, 2016T90517), Jiangsu Social Science Fund (18JD013, 16JD008), High-Level Talents Project of “Six Talents Peaks” in Jiangsu Province (JY-077), and Qinlan Project of Jiangsu. We also would like to thank the anonymous referees for their helpful suggestions and corrections on the earlier draft of our paper, and upon which we have improved the content.
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Li, H., Zhang, M., Li, C. et al. Study on the spatial correlation structure and synergistic governance development of the haze emission in China. Environ Sci Pollut Res 26, 12136–12149 (2019). https://doi.org/10.1007/s11356-019-04682-5
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DOI: https://doi.org/10.1007/s11356-019-04682-5