长江流域资源与环境 >> 2021, Vol. 30 >> Issue (9): 2166-2177.doi: 10.11870/cjlyzyyhj202109011

• 生态环境 • 上一篇    下一篇

中国城市环境规制对PM 2.5污染的影响效应

胡美娟1,李在军2* ,宋伟轩3   

  1. (1. 扬州大学旅游烹饪学院,江苏 扬州 225127;2. 扬州大学苏中发展研究院,江苏 扬州 225009;3. 中国科学院南京地理与湖泊研究所,江苏 南京 210008)
  • 出版日期:2021-09-20 发布日期:2021-09-27

Analysis of the Impact of Environmental Regulation on PM 2.5 Pollution in Chinese Prefecture-level Cities

HU Mei-juan1, LI Zai-jun2, SONG Wei-xuan3   

  1. (1. School of Tourism and Culinary Science, Yangzhou University, Yangzhou 225127, China; 2. Research Institute of Central Jiangsu Development, Yangzhou University, Yangzhou 225009, China; 3. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China)
  • Online:2021-09-20 Published:2021-09-27

摘要: 基于2005~2015年中国城市环境规制与PM 2.5污染的面板数据,利用面板灰色关联、空间计量和中介效应模型探究环境规制对PM 2.5污染的时空关联影响、直接效应及作用机制。研究发现:(1)环境规制与PM 2.5污染具有显著为负的时空关联性,其时序关联强度均值为负,呈“W”型波动变化,且空间关联强度负值城市占比较高。(2)环境规制对PM 2.5污染起到明显的抑制作用,而邻近城市环境规制的溢出效应并未发挥促降本地PM 2.5污染的积极作用。(3)环境规制促降PM 2.5污染的重要中介变量分别是工业生态效率和技术水平,环境规制通过提升工业生态效率降低PM 2.5污染的间接效应占比达55.69%,而通过提高技术水平降低PM 2.5污染的间接效应占比为4.85%。(4)环境规制对PM 2.5污染的影响呈现空间异质性,其并不能有效降低东部、中部和东北地区城市的PM 2.5污染,而对西部城市PM 2.5污染起到明显的改善作用。

Abstract: formation mechanism of environmental regulation on PM 2.5 pollution by using the panel grey correlation, spatial measurement and mediation effect model. The results are shown as follows:(1) There exists significantly negative spatio-temporal correlation between environmental regulation and PM 2.5 pollution. The mean value of the temporal correlation intensity is negative, presenting a fluctuation of “W” pattern. The negatively spatial correlated cities account for a relatively high proportion.(2) Environmental regulation has an obvious inhibitory effect on PM 2.5 pollution, while the spillover effect of environmental regulation in neighboring cities has not played a positive role in promoting the reduction of local PM 2.5 pollution. In terms of the control variables, urbanization and PM 2.5 pollution show “inverted U-shaped” changes relationship, the size of the city, the level of foreign capital utilization, and the green coverage of the built-up area have a significantly positive impact on PM 2.5 pollution, and the level of informatization, advanced industrial structure, and energy intensity have a significantly negative impact. The impact of capital fails the significance test.(3) The important mediating variables of environmental regulation to reduce PM 2.5 pollution are industrial ecological efficiency and technological progress level respectively. The indirect effect of environmental regulation to reduce PM 2.5 pollution by improving industrial ecological efficiency accounts for 55.69%, while the indirect effect of environmental regulation to reduce PM 2.5 pollution by improving technological progress level accounts for 4.85%.(4) Environmental regulation exhibits spatial heterogeneity effect on PM 2.5 pollution, which cannot effectively reduce PM 2.5 pollution of cities in eastern, central, and northeastern regions, but can significantly lessen the PM 2.5 pollution in western cities.

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