Quantitative analysis of spatiotemporal disparity of urban water use efficiency and its driving factors in the Yangtze River Economic Belt, China

被引:11
作者
Ji, Renke [1 ]
Wang, Chao [1 ,2 ]
Wang, Peng [1 ,4 ]
Wang, Wei [1 ]
Chen, Nengcheng [1 ,3 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Hubei Luojia Lab, Wuhan 430079, Peoples R China
[2] Changjiang River Sci Res Inst Changjiang Water Res, Key Lab Basin Water Resources & Ecoenvironm Sci Hu, Wuhan 430010, Peoples R China
[3] China Univ Geosci Wuhan, Natl Engn Res Ctr Geog Informat Syst, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
[4] GAEA SPACE TIME CO LTD, Wuhan 430073, Peoples R China
基金
中国国家自然科学基金;
关键词
Water use efficiency; Super -Efficiency DEA-SBM; Yangtze River Economic Belt; SLACKS-BASED MEASURE; WEIGHTED REGRESSION; PRODUCTIVITY GROWTH; URBANIZATION; RESOURCES; ENERGY; IMPACTS; ENGLAND; MODELS;
D O I
10.1016/j.ejrh.2023.101647
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: Yangtze River Economic Belt, China Study focus: As the major national strategic development area of China, there have always been vital problems about imbalance of the water resources distribution and the disparity of economic levels in YREB. Quantitative analysis of water use efficiency (WUE) is essential to the rational use of water resources, as well as the sustainable development. In this study, a WUE evaluation index system for prefecture-level cities in the YREB was constructed, and Super-Efficiency Data envelopment analysis Slacks-Based Measure (DEA-SBM) model, Global Malmquist-Luenberger productivity index, combined with geographically weighted regression model were utilized to measure and identify the spatiotemporal evolution characteristics of WUE and its influencing factors. New hydrological insights for the region: From the temporal perspective, the WUE manifests a significant upward trend from 2005 to 2020, and the growth presents lower reach > middle reach > upper reach; in the spatial pattern, the WUE has significant spatial divergence characteristics, high WUE mainly occurred in developed leading cities, while developing cities in the midstream and upstream tended to be inefficient; various effects on WUE were also analyzed, highlighting that technical advancement was the key driver of WUE evolution. Then the negative effects of industrial structure and urban environment was becoming more and more significant. Finally, effective measures for upstream, middle and downstream cities in the YREB were discussed.
引用
收藏
页数:21
相关论文
共 81 条
[1]   Spatial econometric analysis on influencing factors of water consumption efficiency in urbanizing China [J].
Bao Chao ;
Chen Xiaojie .
JOURNAL OF GEOGRAPHICAL SCIENCES, 2017, 27 (12) :1450-1462
[2]   Systematic Review of Water-Economy Modeling Applications [J].
Bekchanov, Maksud ;
Sood, Aditya ;
Pinto, Alisha ;
Jeuland, Marc .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2017, 143 (08)
[3]   Sustainable development and the water-energy-food nexus: A perspective on livelihoods [J].
Biggs, Eloise M. ;
Bruce, Eleanor ;
Boruff, Bryan ;
Duncan, John M. A. ;
Horsley, Julia ;
Pauli, Natasha ;
McNeill, Kellie ;
Neef, Andreas ;
Van Ogtrop, Floris ;
Curnow, Jayne ;
Haworth, Billy ;
Duce, Stephanie ;
Irnanari, Yukihiro .
ENVIRONMENTAL SCIENCE & POLICY, 2015, 54 :389-397
[4]   Natural resources modulate the nexus between environmental shocks and human mobility [J].
Brottrager, Michael ;
Crespo Cuaresma, Jesus ;
Kniveton, Dominic ;
Ali, Saleem H. .
NATURE COMMUNICATIONS, 2023, 14 (01)
[5]   Adaptation to Future Water Shortages in the United States Caused by Population Growth and Climate Change [J].
Brown, Thomas C. ;
Mahat, Vinod ;
Ramirez, Jorge A. .
EARTHS FUTURE, 2019, 7 (03) :219-234
[6]   Mass balance of emerging contaminants in the water cycle of a highly urbanized and industrialized area of Italy [J].
Castiglioni, Sara ;
Davoli, Enrico ;
Riva, Francesco ;
Palmiotto, Marinella ;
Camporini, Paolo ;
Manenti, Angela ;
Zuccato, Ettore .
WATER RESEARCH, 2018, 131 :287-298
[7]   Regional differences in the industrial water use efficiency of China: The spatial spillover effect and relevant factors [J].
Chen, Yanbin ;
Yin, Guanwen ;
Liu, Kai .
RESOURCES CONSERVATION AND RECYCLING, 2021, 167
[8]   Coupling-Coordinated Development of the Water-Economy-Innovation Nexus: A Case Study of the Grand Canal Area in China [J].
Cheng, Zhe ;
He, Jialin ;
Li, Yun ;
Zhu, Yixin ;
Dai, Juncheng .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2023, 149 (11)
[9]   Natural infrastructure in sustaining global urban freshwater ecosystem services [J].
Chung, Min Gon ;
Frank, Kenneth A. ;
Pokhrel, Yadu ;
Dietz, Thomas ;
Liu, Jianguo .
NATURE SUSTAINABILITY, 2021, 4 (12) :1068-+
[10]  
Cooper W.W., 2007, Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software, V2, DOI DOI 10.1007/B109347