Study on Spatiotemporal Evolution Features and Affecting Factors of Collaborative Governance of Pollution Reduction and Carbon Abatement in Urban Agglomerations of the Yellow River Basin
-
Published:2023-02-23
Issue:5
Volume:20
Page:3994
-
ISSN:1660-4601
-
Container-title:International Journal of Environmental Research and Public Health
-
language:en
-
Short-container-title:IJERPH
Author:
Su Zhaoxian1, Yang Yang2, Wang Yun2, Zhang Pan3, Luo Xin1
Affiliation:
1. School of Public Administration, North China University of Water Resources and Electric Power, Zhengzhou 450046, China 2. School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China 3. Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
Abstract
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.
Funder
New Liberal Arts Research and Reform Practice Project of Henan Province Philosophy and Social Science Planning Project of Henan Province National Social Science Foundation of China
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
Reference69 articles.
1. Lee, J.Y., Marotzke, J., Bala, G., Cao, L., Corti, S., and Dunne, J.P. (2021). Future Global Climate: Scenario-Based Projections and Near-Term Information, IPCC. 2. IEA (2022, November 10). World Energy Outlook 2022, International Energy Agency, Paris. License: CC BY 4.0 (report); CC BY NC SA 4.0 (Annex A). Available online: https://www.iea.org/reports/world-energy-outlook-2022. 3. Wolf, M.J., Emerson, J.W., Esty, D.C., de Sherbinin, A., and Wendling, Z.A. (2022). Environmental Performance Index, Yale Center for Environmental Law & Policy. Available online: https://epi.yale.edu. 4. Brągoszewska, E., and Mainka, A. (2022). Impact of Different Air Pollutants (PM10, PM2.5, NO2, and Bacterial Aerosols) on COVID-19 Cases in Gliwice, Southern Poland. Int. J. Environ. Res. Public Health, 19. 5. Eum, J., and Kim, H. (2021). Effects of Air Pollution on Assaults: Findings from South Korea. Sustainability, 13.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|