时间空间进化和协同碳和减少污染的驱动机制
Zhongyao Cai1,2, Xuhui Ding3, Xinyu Yang4
1Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.
iScience
|March 12, 2026
概括
中国中国中国中国.
科学领域:
- 环境科学 环境科学
- 城市研究 城市研究
- 经济学 经济学 经济学
背景情况:
- 在碳和污染减排的协同作用上存在全球共识.
- 中国是一个主要的经济体和排放国,为治理提供了洞察力.
- 应对气候变化和污染是一个关键的全球性挑战.
研究的目的:
- 检查中国城市的时空演变和协同碳和减少污染的驱动机制.
- 分析数据元素市场化对协同治理的影响.
- 提出有效的战略,以加强碳和污染减排的协同作用.
主要方法:
- 合协调度模型的模型
- K-表示集群.
- 差异中的差异模型的差异.
- 调节效应模型的模型.
主要成果:
- 国家协同碳和污染减排显示了反转的U形趋势和空间差异化.
- 一个"核心-外围"的集群模式出现了,许多城市面临着低协同治理.
- 数据元素的市场化显著增强了碳和污染减排的协同作用.
结论:
- 在近一半的中国城市中,迫切需要协同治理.
- 数据元素市场化与环境监管相结合,带来了重要的治理效益.
- 建议包括差异化战略,城市治理创新,政策协调和数据元素改革.
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