Economic contribution and rebound effect of industrial water: The case of the Yangtze River Delta

Zhao, 2021, Quantifying economic-social-environmental trade-offs and synergies of water-supply constraints: an application to the capital region of China, Water Res., 195, 10.1016/j.watres.2021.116986 Shang, 2016, Decomposition methods for analyzing changes of industrial water use, J. Hydrol., 543, 808, 10.1016/j.jhydrol.2016.10.053 Li, 2015, Econometric analysis of industrial water use efficiency in China, Environ. Dev. Sustain., 17, 1209, 10.1007/s10668-014-9601-2 Zhang, 2017, Relationship between industrial water consumption and economic growth in China based on environmental Kuznets curve, Energy Proc., 105, 3557, 10.1016/j.egypro.2017.03.818 Ngoran, 2016, Signatures of water resources consumption on sustainable economic growth in Sub-Saharan African countries, Int. J. Sustain .Built Environ., 5, 114, 10.1016/j.ijsbe.2016.04.002 Zhao, 2017, Kuznets type relationship between water use and economic growth in China, J. Clean. Prod., 168, 1091, 10.1016/j.jclepro.2017.08.189 Cai, 2020, An analysis of the relation between water pollution and economic growth in China by considering the contemporaneous correlation of water pollutants, J. Clean. Prod., 276, 10.1016/j.jclepro.2020.122783 Wang, 2018, Decoupling analysis of economic growth from water use in City: a case study of Beijing, Shanghai, and Guangzhou of China, Sustain. Cities Soc., 41, 86, 10.1016/j.scs.2018.05.010 Liu, 2020, Coupling coordination and spatiotemporal dynamic evolution between social economy and water environmental quality–A case study from Nansi Lake catchment, China, Ecol. Indicat., 119, 10.1016/j.ecolind.2020.106870 Rehman, 2019, Fertilizer consumption, water availability and credit distribution: major factors affecting agricultural productivity in Pakistan, J. Saudi Soc. Agri. Sci., 18, 269 Shu, 2011, The economic analysis of sustainable utilization of agricultural water resources in Shandong province, Energy Proc., 5, 2120, 10.1016/j.egypro.2011.03.366 Ku, 2012, Economic value of water in the Korean manufacturing industry, Water Resour. Manag., 26, 81, 10.1007/s11269-011-9905-z Grammatikopoulou, 2020, Economic evaluation of green water in cereal crop production: a production function approach, Water Resour. Econ., 29, 10.1016/j.wre.2019.100148 Kakwani, 2020, Review of Circular Economy in urban water sector: challenges and opportunities in India, J. Environ. Manag., 271, 10.1016/j.jenvman.2020.111010 Micari, 2020, Towards the implementation of circular economy in the water softening industry: a technical, economic and environmental analysis, J. Clean. Prod., 255, 10.1016/j.jclepro.2020.120291 Voulvoulis, 2018, Water reuse from a circular economy perspective and potential risks from an unregulated approach, Curr. Opinion. Environ. Sci. Health., 2, 32, 10.1016/j.coesh.2018.01.005 Dadson, 2017, Water security, risk, and economic growth: insights from a dynamical systems model, Water Resour. Res., 53, 6425, 10.1002/2017WR020640 Issanova, 2018, Water availability and state of water resources within water-economic basins in Kazakhstan, Paddy Water Environ., 16, 183, 10.1007/s10333-018-0630-6 Berbel, 2015, Literature review on rebound effect of water saving measures and analysis of a Spanish case study, Water Resour. Manag., 29, 663, 10.1007/s11269-014-0839-0 Freire-González, 2019, Does water efficiency reduce water consumption? The economy-wide water rebound effect, Water Resour. Manag., 33, 2191, 10.1007/s11269-019-02249-0 Gkatsikos, 2022, The neglected water rebound effect of income and employment growth, Water Resour. Manag., 36, 379, 10.1007/s11269-021-03032-w Wheeler, 2020, The rebound effect on water extraction from subsidising irrigation infrastructure in Australia, Resour. Conserv. Recycl., 159, 10.1016/j.resconrec.2020.104755 Zhang, 2017, Energy rebound effect in China's Industry: an aggregate and disaggregate analysis, Energy Econ., 61, 199, 10.1016/j.eneco.2016.11.011 Ai, 2020, Differentiated effects of diversified technological sources on China's electricity consumption: evidence from the perspective of rebound effect, Energy Pol., 137, 10.1016/j.enpol.2019.111084 Liu, 2021, Energy efficiency rebound effect research of China's coal industry, Energy Rep., 7, 5475, 10.1016/j.egyr.2021.08.131 Chakravarty, 2013, Rebound effect: how much to worry?, Curr. Opin. Environ. Sustain., 5, 216, 10.1016/j.cosust.2013.03.001 Zhang, 2017, The macroeconomic rebound effect in China, Energy Econ., 67, 202, 10.1016/j.eneco.2017.08.020 Vélez-Henao, 2020, Environmental rebound effect of energy efficiency improvements in Colombian households, Energy Pol., 145, 10.1016/j.enpol.2020.111697 Vivanco, 2016, The foundations of the environmental rebound effect and its contribution towards a general framework, Ecol. Econ., 125, 60, 10.1016/j.ecolecon.2016.02.006 Fei, 2021, Has the water rights system reform restrained the water rebound effect? Empirical analysis from China's agricultural sector, Agric. Water Manag., 246, 10.1016/j.agwat.2020.106690 Li, 2018, Rebound effects of new irrigation technologies: the role of water rights, Am. J. Agric. Econ., 100, 786, 10.1093/ajae/aay001 Fang, 2020, Irrigation technology and water rebound in China's agricultural sector, J. Ind. Ecol., 24, 1088, 10.1111/jiec.13001 Song, 2018, The agricultural water rebound effect in China, Ecol. Econ., 146, 497, 10.1016/j.ecolecon.2017.12.016 Paul, 2019, Rebound effects in agricultural land and soil management: review and analytical framework, J. Clean. Prod., 227, 1054, 10.1016/j.jclepro.2019.04.115 Xu, 2022, Drivers of the irrigation water rebound effect: a case study of Hetao irrigation district in Yellow River basin, China, Agric. Water Manag., 266, 10.1016/j.agwat.2022.107567 Wang, 2021, A method for estimating output elasticity of input factors in Cobb-Douglas production function and measuring agricultural technological progress, IEEE Access, 9, 26234, 10.1109/ACCESS.2021.3056719 Munguía, 2019, Estimation of the Solow-Cobb-Douglas economic growth model with a Kalman filter: an observability-based approach, Heliyon, 5, 10.1016/j.heliyon.2019.e01959 Apostolov, 2016, Cobb–douglas production function on FDI in Southeast Europe, J. Econ. Struct., 5, 1, 10.1186/s40008-016-0043-x Dritsaki, 2018, 465 Oryani, 2021, Investigating the asymmetric impact of energy consumption on reshaping future energy policy and economic growth in Iran using extended Cobb-Douglas production function, Energy, 216, 10.1016/j.energy.2020.119187 Zhang, 2020, Study on factors affecting corn yield based on the Cobb-Douglas production function, Agric. Water Manag., 228, 10.1016/j.agwat.2019.105869 Zhang, 2013, Regional water demand prediction and analysis based on Cobb-Douglas model, Water Resour. Manag., 27, 3103, 10.1007/s11269-013-0335-y Costa, 2015, Statistical evaluation of data envelopment analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision, Soc. Econ. Plann. Sci., 49, 47, 10.1016/j.seps.2014.11.001 Färe, 1994, Productivity growth, technical progress, and efficiency change in industrialized countries, Am. Econ. Rev., 66 Rao, 2019, Carbon sequestration total factor productivity growth and decomposition: a case of the Yangtze River Economic Belt of China, Sustainability, 11, 6809, 10.3390/su11236809 Huang, 2022, Dynamic association between ICT, renewable energy, economic complexity and ecological footprint: is there any difference between E-7 (developing) and G-7 (developed) countries?, Technol. Soc., 68, 10.1016/j.techsoc.2021.101853 Yang, 2022, Dual effects of technology change: how does water technological progress affect China's water consumption?, iScience, 25, 10.1016/j.isci.2022.104629 Dyckhoff, 2001, Measuring ecological efficiency with data envelopment analysis (DEA), Eur. J. Oper. Res., 132, 312, 10.1016/S0377-2217(00)00154-5 Geng, 2019, Assessing China's agricultural water use efficiency in a green-blue water perspective: a study based on data envelopment analysis, Ecol. Indicat., 96, 329, 10.1016/j.ecolind.2018.09.011 Hu, 2018, Efficiency evaluation of water consumption in a Chinese province-level region based on data envelopment analysis, Water, 10, 793, 10.3390/w10060793 Huang, 2023, Water, energy, and food nexus efficiency in China: a provincial assessment using a three-stage data envelopment analysis model, Energy, 263, 10.1016/j.energy.2022.126007 Mardani, 2017, A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency, Renew. Sustain. Energy Rev., 70, 1298, 10.1016/j.rser.2016.12.030 Reynès, 2019, The Cobb–Douglas function as a flexible function: a new perspective on homogeneous functions through the lens of output elasticities, Math. Soc. Sci., 97, 11, 10.1016/j.mathsocsci.2018.10.002 Pavelescu, 2014, Methodological considerations regarding the estimated returns to scale in case of Cobb-Douglas production function, Procedia Econ. Finance, 8, 535, 10.1016/S2212-5671(14)00125-7 Solow, 1957, Technical change and the aggregate production function, Rev. Econ. Stat., 312, 10.2307/1926047 Guo, 2012, Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions, Expert Syst. Appl., 39, 8514, 10.1016/j.eswa.2011.12.032 Wang, 2014, An empirical study of direct rebound effect for road freight transport in China, Appl. Energy, 133, 274, 10.1016/j.apenergy.2014.07.090 Zhi, 2022, Spatial correlation network of water use in the Yangtze River Delta urban agglomeration, China, Front. Environ. Sci., 10, 10.3389/fenvs.2022.924246 Yao, 2019, Temporal-spatial decomposition computing of regional water intensity for Yangtze River Economic Zone in China based on LMDI model, Sustainable. Comput.: Informat. Syst., 21, 119 Pablo-Romero, 2015, Productive energy use and economic growth: energy, physical and human capital relationships, Energy Econ., 49, 420, 10.1016/j.eneco.2015.03.010 Song, 2019, How do economic openness and R&D investment affect green economic growth?—evidence from China, Resour. Conserv. Recycl., 146, 405, 10.1016/j.resconrec.2019.03.050 Flörke, 2013, Domestic and industrial water uses of the past 60 years as a mirror of socio-economic development: a global simulation study, Global Environ. Change, 23, 144, 10.1016/j.gloenvcha.2012.10.018 Li, 2019, Exploring the energy consumption rebound effect of industrial enterprises in the Beijing–Tianjin–Hebei region, Energy Effi., 12, 1007, 10.1007/s12053-018-9743-4 Li, 2019, Does market-oriented reform increase energy rebound effect? Evidence from China's regional development, China Econ. Rev., 56, 10.1016/j.chieco.2019.101304 Lin, 2022 Xu, 2021, Agricultural water use efficiency and rebound effect: a study for China, Int. J. Environ. Res. Publ. Health, 18, 7151, 10.3390/ijerph18137151 Cosgrove, 2015, Water management: current and future challenges and research directions, Water Resour. Res., 51, 4823, 10.1002/2014WR016869 Gibbons, 2013 Jia, 2016, On the inapplicability of the Cobb-Douglas production function for estimating the benefit of water use and the value of water resources, Water Resour. Manag., 30, 3645, 10.1007/s11269-016-1349-z