收藏切换
Regional variations and the dynamic evolution of water environment governance efficiency in the Yangtze River Delta urban agglomeration
收藏切换
Hui-shan FU1, Jia-lin LI1, 2, *, Yong-chao LIU1, 2, Luo-dan CAO1, Xiao ZHU1, Jiang-tao KONG1
China Environmental Science | 2026, 46(3) : 1747 - 1763
Less
收藏切换
China Environmental Science | 2026, 46(3): 1747-1763
• Environmental Impact Assessment and Management •
Regional variations and the dynamic evolution of water environment governance efficiency in the Yangtze River Delta urban agglomeration
Full
Hui-shan FU1, Jia-lin LI1, 2, *, Yong-chao LIU1, 2, Luo-dan CAO1, Xiao ZHU1, Jiang-tao KONG1
Affiliations
  • 1.Zhejiang Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research, Ningbo University, Ningbo 315211, China
  • 2.Department of Geography and Spatial Information Techniques, Donghai Institute, Ningbo University, Ningbo 315211, China
Published: 2026-03-20
Outline
收藏切换

This study focused on 26 cities within the Yangtze River Delta urban agglomeration and employed a comprehensive analytical approach, utilizing the Super-SBM model, Malmquist index, Gini coefficient, standard deviation ellipse model, and Tobit model based on statistical data from 2010 to 2023. The study systematically analyzed regional disparities, dynamic evolutionary characteristics, and the factors influencing water environment governance efficiency. Key findings included that the overall water governance efficiency in the Yangtze River Delta urban agglomeration exhibited a fluctuating upward trend, with a notable dip in 2022 attributed to a decline in scale efficiency (SE), with an average value of 1.121. Spatially, water governance efficiency followed a "high-west, low-east" pattern: western cities experienced significant efficiency gains through ecological compensation and green industrial transfer, while eastern cities relied on technological innovation to drive improvements. The largest intergroup disparity in water environment governance efficiency occurred between the Anhui Province and Zhejiang Province, with an average value of 0.067. Within the Jiangsu-Shanghai region, the internal equilibrium was the highest, with an average value of 0.055. The hyper-variation density contributed the most to the overall difference, with an average annual value of 38.053. Over the study period, the center of gravity of the standard deviation ellipse for water environment governance efficiency shifted southwestward, suggesting a trend toward a more aggregated spatial distribution. Population size, urbanization level, and industrial structure showed significant negative correlations with water environment governance efficiency in the Yangtze River Delta urban agglomeration. In contrast, innovation levels, environmental management, openness to external markets, and industrial scale positively drove water environment governance efficiency.

Yangtze River Delta urban agglomeration  /  water environment governance  /  governance efficiency  /  dynamic evolution  /  coordinated development
傅慧珊, 李加林, 刘永超, 曹罗丹, 朱骁, 孔江涛. 长三角城市群水环境治理效率的区域差异及动态演进. 中国环境科学, 2026 , 46 (3) : 1747 -1763 .
Hui-shan FU, Jia-lin LI, Yong-chao LIU, Luo-dan CAO, Xiao ZHU, Jiang-tao KONG. Regional variations and the dynamic evolution of water environment governance efficiency in the Yangtze River Delta urban agglomeration[J]. China Environmental Science, 2026 , 46 (3) : 1747 -1763 .
Year 2026 volume 46 Issue 3
63
15
Cite this Article
BibTeX
Article Info
  • Receive Date:2025-07-28
  • Online Date:2026-10-08
  • Published:2026-03-20
Article Data
Affiliations
History
  • Received:2025-07-28
Funding
Affiliations
    1.Zhejiang Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research, Ningbo University, Ningbo 315211, China
    2.Department of Geography and Spatial Information Techniques, Donghai Institute, Ningbo University, Ningbo 315211, China
References
Share
https://castjournals.cast.org.cn/joweb/zghjkx/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT