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Taking 16 cities and prefectures in Hubei Province as the research object, from the perspective of unexpected output, DEA-SBM model was used to calculate the water environment governance efficiency from 2014 to 2018. Combined with GIS spatial analysis method, the temporal and spatial variation characteristics of urban water environment governance efficiency were explored, and the influencing factors of urban water environment governance efficiency were analyzed by multiple linear regression model. The results show that the efficiency of urban water environmental governance in Hubei Province has rising trend, but there is a difference in time-order changes in water environmental governance between different cities; The efficiency of urban water environment treatment in Hubei Province shows a spatial distribution trend of low in the central region and high in the eastern and western regions; The level of infrastructure and environmental regulation have a significant positive impact on urban water environmental governance, and urbanization level has a significant negative impact on water environmental governance efficiency.

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以湖北省16个市州为例,从非期望产出角度出发,运用DEA-SBM模型对2014~2018年16市州水环境治理效率进行测算,结合GIS空间分析法,探究城市水环境治理效率时空变化特征,采用多元线性回归模型分析城市水环境治理效率的影响因素。结果表明,湖北省城市水环境治理效率呈上升趋势,但不同城市之间水环境治理效率时序变化存在差异;湖北省城市水环境治理效率呈中部地区低,东部、西部地区高的空间分布态势;基础设施水平、环境规制对城市水环境治理效率呈显著正向影响,城镇化水平对水环境治理效率呈显著负向影响。

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袁宏川(1968-),男,博士、教授、硕导,研究方向为水资源与环境,E-mail:

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袁宏川(1968-),男,博士、教授、硕导,研究方向为水资源与环境,E-mail:

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袁宏川(1968-),男,博士、教授、硕导,研究方向为水资源与环境,E-mail:

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城市水环境治理效率时空演变及影响因素研究
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袁宏川 1 , 陈平菊 1 , 晋良海 1, 2 , 张玥 1
水电能源科学 | 水文水资源与环境 2023,41(1): 50-54
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水电能源科学 | 水文水资源与环境 2023, 41(1): 50-54
城市水环境治理效率时空演变及影响因素研究
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袁宏川1 , 陈平菊1, 晋良海1, 2, 张玥1
作者信息
  • 1.三峡大学水利与环境学院,湖北 宜昌 443002
  • 2.水电工程施工与管理湖北省重点实验室,湖北 宜昌 443002
  • 袁宏川(1968-),男,博士、教授、硕导,研究方向为水资源与环境,E-mail:

Research on Spatio-temporal Evolution and Influencing Factors of Urban Water Environment Governance Efficiency
Hong-chuan YUAN1 , Ping-ju CHEN1, Liang-hai JIN1, 2, Yue ZHANG1
Affiliations
  • 1.College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China
  • 2.Hubei Key Laboratory of Construction and Management in Hydropower Engineering, Yichang 443002, China
出版时间: 2023-01-25 doi: 10.20040/j.cnki.1000-7709.2023.20220087
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以湖北省16个市州为例,从非期望产出角度出发,运用DEA-SBM模型对2014~2018年16市州水环境治理效率进行测算,结合GIS空间分析法,探究城市水环境治理效率时空变化特征,采用多元线性回归模型分析城市水环境治理效率的影响因素。结果表明,湖北省城市水环境治理效率呈上升趋势,但不同城市之间水环境治理效率时序变化存在差异;湖北省城市水环境治理效率呈中部地区低,东部、西部地区高的空间分布态势;基础设施水平、环境规制对城市水环境治理效率呈显著正向影响,城镇化水平对水环境治理效率呈显著负向影响。

水环境治理  /  时空演变  /  DEA-SBM模型  /  多元线性回归

Taking 16 cities and prefectures in Hubei Province as the research object, from the perspective of unexpected output, DEA-SBM model was used to calculate the water environment governance efficiency from 2014 to 2018. Combined with GIS spatial analysis method, the temporal and spatial variation characteristics of urban water environment governance efficiency were explored, and the influencing factors of urban water environment governance efficiency were analyzed by multiple linear regression model. The results show that the efficiency of urban water environmental governance in Hubei Province has rising trend, but there is a difference in time-order changes in water environmental governance between different cities; The efficiency of urban water environment treatment in Hubei Province shows a spatial distribution trend of low in the central region and high in the eastern and western regions; The level of infrastructure and environmental regulation have a significant positive impact on urban water environmental governance, and urbanization level has a significant negative impact on water environmental governance efficiency.

water environment governance  /  temporal and spatial evolution  /  DEA-SBM model  /  multiple linear regression
袁宏川, 陈平菊, 晋良海, 张玥. 城市水环境治理效率时空演变及影响因素研究. 水电能源科学, 2023 , 41 (1) : 50 -54 . DOI: 10.20040/j.cnki.1000-7709.2023.20220087
Hong-chuan YUAN, Ping-ju CHEN, Liang-hai JIN, Yue ZHANG. Research on Spatio-temporal Evolution and Influencing Factors of Urban Water Environment Governance Efficiency[J]. Water Resources and Power, 2023 , 41 (1) : 50 -54 . DOI: 10.20040/j.cnki.1000-7709.2023.20220087
  • 教育部人文社科规划基金项目(21YJA630038)
2023年第41卷第1期
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doi: 10.20040/j.cnki.1000-7709.2023.20220087
  • 接收时间:2022-01-15
  • 首发时间:2026-01-28
  • 出版时间:2023-01-25
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  • 收稿日期:2022-01-15
  • 修回日期:2022-04-13
基金
教育部人文社科规划基金项目(21YJA630038)
作者信息
    1.三峡大学水利与环境学院,湖北 宜昌 443002
    2.水电工程施工与管理湖北省重点实验室,湖北 宜昌 443002
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2种不同金属材料的力学参数

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Genus
种数
Number of
species
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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
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