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• W4385847656 startingPage "107258" @default.
• W4385847656 abstract "Improving water use efficiency is an essential strategy in the response to the global water crisis. The assessment of water use efficiency serves as the foundation for improving water use efficiency and water governance. Based on the mixed methods including Super-SBM model, GML index, spatial analysis, and Tobit model, this study assesses the water use efficiency from the scales of regional and provinces in China from 2011 to 2020, explores the evolution characteristics and spatial pattern of water use efficiency, and identifies the impact factors of water use efficiency. The results indicate that regional water use efficiency in China varies significantly by space, the highest in the eastern region with an average value of 0.8052, and the lowest in the central region with an average value of 0.5709. From 2011 to 2020, the average water use efficiency in China is 0.7042, which is in a low efficiency state, and roughly two thirds of the country's provinces use water inefficiently or ineffectively. In addition, regional differences of water use efficiency in China have a tendency of divergence and polarization. The technological progress change is the major factor for promoting water use efficiency. Economic development, water endowment, water use structure, scientific and technological development, and urban development have significant effects on water use efficiency in different regions respectively, while industrial structure and water governance have insignificant effects. This study supports researchers and practitioners in comprehending the characteristics and spatial patterns of water use in China, and also enriches the research system of water governance and integrated water resources management." @default.
• W4385847656 created "2023-08-16" @default.
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• W4385847656 date "2023-11-01" @default.
• W4385847656 modified "2023-10-16" @default.
• W4385847656 title "Exploring the spatial structure and impact factors of water use efficiency in China" @default.
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• W4385847656 doi "https://doi.org/10.1016/j.eiar.2023.107258" @default.
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