长江流域资源与环境 >> 2025, Vol. 34 >> Issue (11): 2500-.doi: 10.11870/cjlyzyyhj202511010

• 生态环境 • 上一篇    下一篇

长江下游地区水环境治理效率的空间分析

孔江涛1,曹罗丹1,朱骁1,傅慧珊1,李加林1,2,3   

  1. (1.宁波大学陆海国土空间利用与治理协同创新中心, 浙江 宁波 315211; 2. 宁波大学东海研究院,浙江 宁波 315211;3. 宁波大学地理与空间信息技术系,浙江 宁波 315211)
  • 出版日期:2025-11-20 发布日期:2025-11-20

Spatial Analysis of the Efficiency of Water Environment Management in the Lower Reaches of the Yangtze River

KONG Jiang-tao1,CAO Luo-dan1,ZHU Xiao1,FU Hui-shan1,LI Jia-lin1,2,3   

  1. (1. Collaborative Innovation Center for Land and Sea Land Space Utilization and Governance, Ningbo University, Ningbo 315211, China;
    2. East China Sea Research Institute, Ningbo University, Ningbo 315211, China;
    3. Department of Geography and Spatial Information Technology, Ningbo University, Ningbo 315211, China)
  • Online:2025-11-20 Published:2025-11-20

摘要:  水环境对生态系统健康和人类社会可持续发展至关重要。长江下游地区水环境治理具有长期复杂性。因此推动现代水环境治理体系建设,提升治理效率,是实现长江下游水环境高质量发展的关键。基于非期望产出的Super–SBM模型测算2013~2022年长江下游水环境治理效率时空差异及动态演变特征,并利用Tobit模型探究长江下游水环境治理效率的影响因素。结果显示:(1)长江下游水环境治理的综合效率平均值为0.793 1,整体效率处于中高水平,但区域差异明显。纯技术效率与综合效率呈协同变化,纯技术效率变化是导致整体效率起伏的主要原因。(2)长江下游水环境治理综合效率整体发展趋势仍然向好。技术效率、纯技术效率和规模效率总体呈稳步上升趋势。然而,技术水平变化是导致长江下游水环境治理效率ML指数变化的主要原因,成为制约该区域及内部环境治理全要素增长率较低的关键因素。(3)长江下游水环境治理效率空间差异较大,其中组间差异是整体差异的主要来源。相比之下,长江下游水环境治理效率呈现出“偏东北至偏西南”方向的收缩趋势,意味着稳定性和相关性增强,其重心始终集中在南京、镇江和常州附近。(4)技术创新水平和经济发展水平,对环境治理效率产生了正向影响。而工业化水平提高,产业结构发展,城镇化推进则对长江下游地区环境治理效率起到了抑制作用,外商直接投资和对外开放程度对长江下游地区环境治理效率也起到了积极作用。

Abstract: The water environment is critical to ecosystem health and the sustainable development of human society. Water environment governance in the lower reaches of the Yangtze River is characterized by long-term complexity. Therefore, promoting the construction of a modern water environment governance system and improving governance efficiency are key to realizing high-quality development of the water environment in the lower reaches of the Yangtze River. In this paper, the Super-SBM model, based on non-expected output, was used to measure the spatio-temporal differences and the dynamic evolution characteristics of water environment governance efficiency in the lower reaches of the Yangtze River from 2013 to 2022. The influencing factors of water environment governance efficiency was explored using the Tobit model. The results showed that: 1) The average value of the comprehensive efficiency of water environment governance in the study area was 0.7931. The overall efficiency was at a medium-high level, but there existed significant regional differences. Pure technical efficiency and comprehensive efficiency changed in a coordinated manner. The changes in pure technical efficiency was the main cause of the fluctuations in overall efficiency. 2) The overall development trend of the comprehensive efficiency of water environment governance remained positive. Technical efficiency, pure technical efficiency, and scale efficiency all showed a steady upward trend. However, changes in the level of technology were the main reason for changes in the ML index of water environment governance efficiency, which were the key factor restricting the lower total factor productivity growth rate of environmental governance in the region and its internal areas. 3) The spatial differences in water environment governance efficiency were substantial, with inter-group differences being the main source of overall differences. In comparison, the efficiency of water environment governance exhibited a contraction trend in the “northeast to southwest”direction, indicating an enhanced stability and a correlation, with the center of gravity always concentrated around Nanjing, Zhenjiang, and Changzhou. 4) The level of technological innovation and economic development had a positive impact on environmental governance efficiency. In contrast, the increase in the level of industrialization, the development of industrial structure, and the advancement of urbanization all had an inhibitory effect on the environmental governance efficiency. Meanwhile, foreign direct investment and the degree of opening up also played a positive role in the environmental governance efficiency of the region.

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