School of Public Administration, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
Int J Environ Res Public Health. 2023 Feb 23;20(5):3994. doi: 10.3390/ijerph20053994.
Exploring spatiotemporal evolution features and factors affecting pollution reduction and carbon abatement on the urban agglomeration scale is helpful to better understand the interaction between ecological environment and economic development in urban agglomerations. In this study, we constructed an evaluation index system for collaborative governance of pollution reduction and carbon abatement in urban agglomerations. In addition, we employed the correlation coefficient matrix, the composite system synergy model, the Gini coefficient, and the Theil index to evaluate the level of and regional differences in collaborative governance of pollution reduction and carbon abatement in seven urban agglomerations in the Yellow River Basin from 2006 to 2020. Moreover, we explored the factors affecting collaborative governance of pollution reduction and carbon abatement in urban agglomerations in the basin. The following findings were obtained: (1) the order degree of collaborative governance of pollution reduction and carbon abatement in the seven urban agglomerations exhibited a significant growing trend, representing a spatial evolution feature of "high in the west and low in the east"; (2) the internal differences in collaborative governance synergy of pollution reduction and carbon abatement decreased in Lanzhou-Xining Urban Agglomeration, Hohhot-Baotou-Ordos-Yulin Urban Agglomeration, Central Shanxi Urban Agglomeration, Zhongyuan Urban Agglomeration, and Shandong Peninsula Urban Agglomeration, while the internal differences basically remained stable in Guanzhong Urban Agglomeration and the Urban Agglomeration along the Yellow River in Ningxia; (3) the variances in environmental regulation and industrial structure among urban agglomerations had a significant positive effect on collaborative governance of pollution reduction and carbon abatement in urban agglomerations in the basin, and the variances in economic growth had a significant inhibitory effect. In addition, the variances in energy consumption, greening construction, and opening-up had an inhibitory impact on collaborative governance of pollution reduction, but the impact was not significant. Finally, this study proposes various recommendations to improve collaborative governance for pollution reduction and carbon abatement in urban agglomerations in the basin in terms of promoting industrial structure upgrading, strengthening regional cooperation, and reducing regional differences. This paper represents an empirical reference for formulating differentiated collaborative governance strategies for pollution reduction and carbon abatement, comprehensive green and low-carbon economic and social transformation programs, and high-quality green development paths in urban agglomerations, which is of certain theoretical and practical significance.
探究城市群尺度减污降碳协同治理的时空演化特征及其影响因素,有助于更好地理解城市群生态环境与经济发展之间的相互作用。本研究构建了城市群减污降碳协同治理评价指标体系,采用相关系数矩阵、复合系统协同模型、基尼系数和泰尔指数,对 2006—2020 年黄河流域七大城市群减污降碳协同治理水平及其区域差异进行评价,并探讨了城市群减污降碳协同治理的影响因素。研究结果表明:(1)七大城市群减污降碳协同治理水平呈现显著增长趋势,表现出“西高东低”的空间演化特征;(2)兰州—西宁城市群、呼和浩特—包头—鄂尔多斯—榆林城市群、中部山西城市群、中原城市群和山东半岛城市群减污降碳协同治理的内部差异减小,关中城市群和宁夏沿黄城市群的内部差异基本保持稳定;(3)城市群间环境规制和产业结构的差异对黄河流域城市群减污降碳协同治理具有显著的正向促进作用,经济增长的差异则具有显著的抑制作用,能源消耗、绿化建设和对外开放的差异对减污协同治理具有抑制作用,但不显著。最后,从推动产业结构升级、强化区域合作、缩小区域差异等方面提出了提升黄河流域城市群减污降碳协同治理水平的建议,为制定差异化的减污降碳协同治理策略、综合绿色低碳经济社会转型方案和城市群高质量绿色发展路径提供了实证参考,具有一定的理论和实践意义。