长江流域资源与环境 >> 2025, Vol. 34 >> Issue (3): 652-667.doi: 10.11870/cjlyzyyhj202503015

• 生态环境 • 上一篇    下一篇

区域大气污染协同治理能促进空气质量改善吗? ——基于中国279个城市的PSM-DID实证研究

陆安颉,周建国   

  1. (南京大学政府管理学院,江苏 南京 210046)
  • 出版日期:2025-03-20 发布日期:2025-03-20

Can Collaborative Governance of Regional Air Pollution Improve Air Quality:An Empirical PSM-DID Study of 279 Cities in China

 LU An-jie, ZHOU Jian-guo   

  1. (School of government, Nanjing University, Nanjing 210046, China)
  • Online:2025-03-20 Published:2025-03-20

摘要: 当前我国复合型、跨域性空气污染问题日益突出,传统的属地治理模式再难应对,急需打破行政区划限制,推进区域大气污染协同治理。首先对大气污染协同治理政策的作用机理展开分析并提出研究假设;进一步基于2013~2020年我国279个地级及以上城市的面板数据,运用双重差分倾向得分匹配法(PSM-DID),实证探究区域大气污染协同治理的政策效果和作用机制。研究发现:(1)基准回归分析结果表明,协同治理政策的实施显著降低了城市AQI指数和PM10、SO2、NO2、PM2.5污染物的浓度,整体上促进了区域空气质量改善,一系列稳健性检验均表明结论的可靠性。(2)区域异质性分析结果表明,京津冀地区协同治理效果在促进空气质量改善和污染减排方面均显著优于长三角地区。(3)作用机制分析结果表明,区域大气污染协同治理主要通过促进产业结构升级、提升技术创新水平和加大污染源治理投资力度来改善区域空气质量,有效治理区域性、复合型大气污染问题。研究进一步提出政策建议。

Abstract: In the context of China's increasingly prominent compound and cross-regional air pollution issues, the traditional territorial governance model is no longer adequate to address these challenges. There is a need to shift from administrative boundary constraints towards the promotion of regional air pollution collaborative governance. This study first analyzed the mechanism of action of air pollution collaborative governance policies and proposed research hypotheses. Further, based on panel data from 279 prefecture-level cities or above in China from 2013 to 2020, this study empirically explored the policy effects and mechanisms of regional air pollution collaborative governance using the Propensity Score Matching-Difference in Differences (PSM-DID) method. The findings revealed that: (1) Baseline regression analysis indicated that the implementation of collaborative governance policies significantly reduced urban AQI indices and concentrations of pollutants such as PM10, SO2, NO2, and PM2.5, thereby overall enhancing regional air quality. A series of robustness tests confirmed the reliability of these conclusions. (2) Regional heterogeneity analysis showed that the effects of collaborative governance in the Beijing-Tianjin-Hebei region were significantly better than those in the Yangtze River Delta region. (3) Mechanism analysis indicated that regional air pollution collaborative governance primarily improved regional air quality by promoting industrial structure upgrading, enhancing the level of technological innovation, and increasing investment in pollution source control. The study further proposed relevant policy recommendations.

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