Can regional economy influence China's water use intensity?:based on refined LMDI method

作     者：Chenjun Zhang Hengquan Zhang 

作者机构：Simulation Laboratory of Project ManagementBusiness School of Hohai University 

出 版 物：《Chinese Journal of Population,Resources and Environment》 (中国人口·资源与环境（英文版）)

年 卷 期：2014年第12卷第3期

页      面：247-254页

学科分类：02[经济学] 0202[经济学-应用经济学] 082802[工学-农业水土工程] 08[工学] 0828[工学-农业工程] 020202[经济学-区域经济学] 

基　　金：subsidized by the Central Project of Water Resource Fees[grant number 1261320212020] 

主　　题：water use intensity decomposition refined LMDI method regional economy 

摘      要：China experienced a decline of water use intensity in the 11th Five Year Plan,but the water use intensity actually increased in *** the best of our knowledge,the index decomposition analysis method was rarely used to analyze changes in water use,and no decomposition analysis has investigated the role of regional economy in the decline of water use *** this paper,we use logarithmic mean Divisia index(LMDI)techniques to decompose the change of water use intensity in the period *** find that the change of industrial water use intensity is confirmed as the dominant contributor to the decline in the overall water use intensity;the regional structure effect and the industrial structure effect is positive to the decline of overall water use intensity;the decline of China s water use intensity is mainly attributed to the effect of developed eastern provinces;meanwhile,the effect of central and undeveloped western is also positive to the decline of overall water use intensity;at least one out of three effects is positive to the decline of water use intensity in the different provinces;the intensity effect is positive and the industrial structure effect is positive to the declines of China s water use intensity based on chaining approach except the period 2008-2009,individually;and the deviation of regional structure effect and industrial structure effect between with regional economy and without regional economy in LMDI is 0.9 and2.3 m^3/10~4 RMB,respectively.