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Provincial water use efficiency measurement and factor analysis in China: Based on SBM-DEA model
Institution:1. College of Statistics, Lanzhou University of Finance and Economics, Lanzhou 730020, PR China;2. School of International Business and Administration, Shanghai University of Finance and Economics, Shanghai 200433, PR China;3. Institute of Finance and Economics, Shanghai University of Finance and Economics, Shanghai 200433, PR China;1. Graduate School of Logistics, Inha University, Incheon, Republic of Korea;2. Asia Pacific School of Logistics, Inha University, Incheon, Republic of Korea;1. Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, No.850 Huanghe Road, Shahekou District, Dalian City, Liaoning Province 116029, China;2. Faculty of Management and Economics, Dalian University of Technology, No.2 Linggong Road, High-Tech District, Dalian City, Liaoning Province 116024, China;1. State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Hohai University, Nanjing, Jiangsu 210098, China;2. College of Water Conservancy and Hydropower, Hohai University, Nanjing, Jiangsu 210098, China;3. Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment in Southern China of Ministry of Education, Hohai University, Nanjing, Jiangsu 210098, China;1. Sydney Institute of Language & Commerce (SILC Business School), Shanghai University, Shanghai 201800, PR China;2. School of Business, Anhui University, Hefei 230039, PR China;1. SHU-UTS SILC (Sydney Institute of Language & Commerce) Business School, Shanghai University, Shanghai 201899, PR China;2. School of Business, Anhui University, Anhui Province, Hefei 230601, PR China
Abstract:This paper estimates water use efficiency of 31 provinces in China during 2004–2013 using slack based measure-data envelopment analysis (SBM-DEA) model which takes consideration of sewage. By using panel data model, factors that influence water use efficiency are explored. The results show that: (1) water use efficiency is higher in economically developed provinces such as Beijing, Shanghai and Tianjin. (2) In general, inefficiencies of labor input and water input are larger than that of capital input. (3) After taking into account sewage as unexpected output, inefficiency of gross domestic product (GDP) for each province is quite low, but most provinces have inefficient sewage emission. (4) It is found in the analysis of influencing factors that the ratio of added value of agricultural sector, water usage per capita and sewage per unit of output have negative impact on water resources use efficiency, while the import dependence and export dependence have positive impact. The results are robust.
Keywords:Water use efficiency  SBM-DEA model  Water resources management  China
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