长江流域资源与环境 >> 2024, Vol. 33 >> Issue (7): 1529-1539.doi: 10.11870/cjlyzyyhj202407013

• 生态环境 • 上一篇    下一篇

长三角区域大气污染协同治理网络结构及影响因素研究

程进   

  1. (上海社会科学院生态与可持续发展研究所,上海200020)
  • 出版日期:2024-07-20 发布日期:2024-07-18

Network Structure and Influencing Factors of Air Pollution Collaborative Governance in the Yangtze River Delta

CHENG Jin   

  1. (Institute of Ecology and Sustainable Development, Shanghai Academy of Social Sciences, Shanghai 200020,China)
  • Online:2024-07-20 Published:2024-07-18

摘要: 基于长三角区域2018~2022年大气污染协同治理网络的数据样本,采用社会网络分析方法,对长三角区域大气污染协同治理网络结构进行研究。研究发现:(1)长三角区域大气污染协同治理网络密度总体上趋于增大,由最初的“强横向、弱纵向”的结构特点,逐渐演化出“强横向、强纵向”的特征。(2)长三角区域大气污染协同治理的行政主导特征显著,其网络结构具有明显的非梯度分布的层级特征,省级行政主体在网络结构中起关键主导作用。(3)区域大气污染协同治理网络结构受省级行政边界的影响较为明显,江苏、浙江和安徽三省范围内的城市各自形成了联系较为紧密的合作子集,省界内城市在开展大气污染协同治理方面表现出更加紧密的关系,跨省界的协同治理联系主要集中在省会城市或省界城市。(4)城市间距离、行政区划对大气污染协同治理关系的形成有显著影响。基于此,提出完善长三角区域合作“三级运作”结构模式、推动大气污染协同治理结构扁平化发展、增强跨区域大气污染协同治理纽带等政策建议。

Abstract:  Based on the data samples in the Yangtze River Delta from 2018 to 2022, a social network analysis method was adopted to study the network structure of air pollution collaborative governance. The study found that: (1) In general, the network density of atmospheric pollution collaborative governance in the study area tended to increase, gradually evolving from the initial structural characteristics of "strong horizontal and weak vertical" to the characteristics of "strong horizontal and strong vertical". (2) The administrative forces had remarkably dominant influence on the coordinated air pollution control, and its network structure showed the hierarchical characteristics of obvious non-gradient distribution. In addition, the provincial administrative subjects played a key leading role in the network structure. (3) The structure of the regional air pollution collaborative governance network was significantly influenced by the provincial administrative boundaries. Cities within Jiangsu, Zhejiang, and Anhui formed a closely connected subset of cooperation. Cities within the provincial boundaries showed a closer relationship in carrying out air pollution collaborative governance, while trans-provincial collaborative governance connections were mainly concentrated on provincial capital cities or provincial boundary cities. (4) The distance between cities and jurisdictions division had significant impacts on the formation of the relationship of air pollution collaborative governance. Based on the research findings, this article proposed certain policy recommendations, such as improving the "three-level operation" structural model of regional cooperation in the Yangtze River Delta, promoting the flattened development of air pollution collaborative governance structure, and strengthening the trans-regional air pollution collaborative governance link.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 张鑫, 陈志刚. 经济增长激励、官员异质性与城市工业污染:以长三角地区为例[J]. 长江流域资源与环境, 2018, 27(07): 1314 .
[2] 罗能生, 王玉泽.彭郁, 李建明. 长江中游城市群生态效率的空间关系及其协同提升机制研究[J]. 长江流域资源与环境, 2018, 27(07): 1349 .
[3] 戢晓峰, 刘丁硕. 基于3D理论与SEM的县域交通可达性与空间贫困的耦合机制[J]. 长江流域资源与环境, 2018, 27(07): 1360 .
[4] 张大鹏, 曹卫东, 姚兆钊, 岳洋, 任亚文. 上海大都市区物流企业区位分布特征及其演化[J]. 长江流域资源与环境, 2018, 27(07): 1365 .
[5] 佘颖, 刘耀彬. 国内外绿色发展制度演化的历史脉络及启示[J]. 长江流域资源与环境, 2018, 27(07): 1370 .
[6] 侯雯嘉, 陈长青, 乔辉, 孙新素, 周曙东. 1980~2009年长江下游地区油菜冻害时空特征研究[J]. 长江流域资源与环境, 2018, 27(07): 1375 .
[7] 姚琳, 沈竞, 温新龙, 高超. WRF模式参数化方案对江西山地风电场的风模拟研究[J]. 长江流域资源与环境, 2018, 27(07): 1380 .
[8] 伍文琪, 罗贤, 黄玮。李运刚. 云南省水资源承载力评价与时空分布特征研究[J]. 长江流域资源与环境, 2018, 27(07): 1385 .
[9] 王辉, 延军平, 王鹏涛, 武亚群. 多民族地区经济差异的空间格局演变[J]. 长江流域资源与环境, 2018, 27(07): 1390 .
[10] 周杰, 张学儒, 牟凤云, 赵瑞一, 周伟, 李梦梅. 基于CAMarkov的土壤有机碳储量空间格局重建研究——以泛长三角地区为例[J]. 长江流域资源与环境, 2018, 27(07): 1410 .