Yang Jianxun, Zhao Zhan, Fang Wen, Ma Zongwei, Liu Miaomiao, Bi Jun
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Institute for the Environment and Health, Nanjing University Suzhou Campus, Suzhou 215163, China.
PNAS Nexus. 2024 Aug 21;3(9):pgae351. doi: 10.1093/pnasnexus/pgae351. eCollection 2024 Sep.
Advancing the synergetic control of climate change and environmental crisis is crucial for achieving global sustainable development goals. This study evaluates synergetic governance levels over climate change and four environmental issues at the provincial level in China from 2009 to 2020. Our findings reveal significant progress in China's coordinated efforts to mitigate carbon emissions, reduce air pollutants, and conserve water resources. However, there remains room for improvement in managing solid waste and protecting ecological systems and overall progress in synergetic governance has slowed since 2015. Employing a random forest model, we identify socio-economic factors with great influence on synergetic climate change and environmental governance, such as energy intensity, service sector development, electronic equipment manufacturing, and transportation. Additionally, we reveal nonlinear relationships between some factors and performance of environmental subsystems, including both plateau effects (e.g. output in the smelting of ferrous metals) and -shaped patterns (e.g. output in the manufacturing of metal products), possibly attributed to constraints in end-of-pipe treatment capacities and complexities in supply chain networks. Furthermore, through hierarchical clustering analysis, we classify provinces into four groups and provide tailored recommendations for policymakers to enhance synergetic governance levels in their respective regions. The framework established in this study also serves as a valuable reference for countries seeking to develop practical and context-specific solutions to mitigate climate and environmental risks.
推进气候变化与环境危机的协同控制对于实现全球可持续发展目标至关重要。本研究评估了2009年至2020年中国省级层面气候变化与四个环境问题的协同治理水平。我们的研究结果表明,中国在协调减排、减少空气污染物和保护水资源方面取得了显著进展。然而,在固体废物管理和生态系统保护方面仍有改进空间,自2015年以来,协同治理的总体进展有所放缓。我们采用随机森林模型,确定了对气候变化与环境协同治理有重大影响的社会经济因素,如能源强度、服务业发展、电子设备制造和交通运输。此外,我们揭示了一些因素与环境子系统绩效之间的非线性关系,包括平台效应(如黑色金属冶炼产量)和倒U形模式(如金属制品制造业产量),这可能归因于末端治理能力的限制和供应链网络的复杂性。此外,通过层次聚类分析,我们将省份分为四类,并为政策制定者提供针对性建议,以提高各自地区的协同治理水平。本研究建立的框架也为寻求制定切实可行的因地制宜解决方案以减轻气候和环境风险的国家提供了有价值的参考。