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      Spatial difference analysis and dynamic evolution prediction of urban industrial integrated water use efficiency in China

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          Abstract

          Comprehensive quantitative assessment of China's urban industrial water use efficiency is effectively promote the green industrial development important steps in order to realize the overall development of high quality. Between 2009 and 2021, 290 in China based on ground level above the panel data of the city, this paper conducts research based on two principles of efficiency improvement and four models of efficiency analysis. The results show that: First, from the perspective of spatial differences, the integrated water use efficiency of urban industry in China presents a slow and uneven upward trend of “low in the east and high in the west, high in the middle and low in the north and south”. Second, from the perspective of driving factors, population density and government public investment on the whole inhibit the development of this efficiency, while GDP development and technological innovation promote it. Third, from the perspective of dynamic evolution prediction, the phenomenon of “beggar-thy-neighbor” and “neighborly kindness” coexist. Therefore, the government should implement industrial water-saving measures according to local conditions, the society should improve the supervision of the behavior of wasting industrial water, and the enterprises should speed up the integration process of industrial primary and repeat water efficiency, so as to promote the comprehensive green transformation of the economy and society.

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          Spatial and temporal characteristics and evolutionary prediction of urban health development efficiency in China: Based on super-efficiency SBM model and spatial Markov chain model

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            Hydrogeochemical characterization and appraisal of groundwater quality for industrial purpose using a novel industrial water quality index (IndWQI) in the Guanzhong Basin, China

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              Do large cities have a productivity advantage in China? From the perspective of green total factor productivity growth

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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                17 December 2023
                15 January 2024
                17 December 2023
                : 10
                : 1
                : e23797
                Affiliations
                [a ]School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, Henan Province, China
                [b ]School of Economics & Management, Northwest University, Xi'an, 710127, Shaanxi Province, China
                [c ]School of Business Administration, Henan University of Economics and Law, Zhengzhou, 450046, Henan Province, China
                Author notes
                []Corresponding author. m13244623829@ 123456163.com
                Article
                S2405-8440(23)11005-X e23797
                10.1016/j.heliyon.2023.e23797
                10772170
                38192782
                752b762c-ee11-436e-bd46-300e6de97291
                © 2023 Published by Elsevier Ltd.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 12 July 2023
                : 5 December 2023
                : 13 December 2023
                Categories
                Research Article

                industrial comprehensive water use efficiency,green development,spatial difference,driving factors,dynamic evolution prediction

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