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

被引:4
作者
Chenjun Zhang [1 ]
Hengquan Zhang [1 ]
机构
[1] Simulation Laboratory of Project Management,Business School of Hohai University
关键词
water use intensity; decomposition; refined LMDI method; regional economy;
D O I
暂无
中图分类号
TV213.9 [水利资源综合利用]; F127 [地方经济];
学科分类号
0202 ; 020202 ; 082802 ;
摘要
China experienced a decline of water use intensity in the 11th Five Year Plan,but the water use intensity actually increased in 2009.To 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 intensity.In this paper,we use logarithmic mean Divisia index(LMDI)techniques to decompose the change of water use intensity in the period 2006-2010.We 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;/10;RMB,respectively.
引用
收藏
页码:247 / 254
页数:8
相关论文
共 11 条
[1]  
Change in Carbon Dioxide (CO2) Emissions From Energy Use in China's Iron and Steel Industry[J]. SUN Wen-qiang1,CAI Jiu-ju1,MAO Hu-jun1,GUAN Duo-jiao1,2(1.State Environmental Protection Key Laboratory of Eco-Industry,Institute of Thermal and EnvironmentalEngineering,Northeastern University,Shenyang 110819,Liaoning,China;2.Department of Energy andPower Engineering,Shenyang Institute of Engineering,Shenyang 110136,Liaoning,China).Journal of Iron and Steel Research(International). 2011(06)
[2]   中国水资源利用效率区域差异及影响因素研究 [J].
钱文婧 ;
贺灿飞 .
中国人口·资源与环境, 2011, 21 (02) :54-60
[3]   工业用水与经济发展的关系——用水库兹涅茨曲线 [J].
贾绍凤 ;
张士锋 ;
杨红 ;
夏军 .
自然资源学报, 2004, (03) :279-284
[4]  
Index decomposition analysis applied to CO 2 emission studies[J] . X.Y. Xu,B.W. Ang.Ecological Economics . 2013
[5]  
A study of residential energy use in Hong Kong by decomposition analysis, 1990–2007[J] . William Chung,M.S. Kam,C.Y. Ip.Applied Energy . 2011 (12)
[6]   From carbonization to decarbonization?-Past trends and future scenarios for China's CO2 emissions [J].
Steckel, Jan Christoph ;
Jakob, Michael ;
Marschinski, Robert ;
Luderer, Gunnar .
ENERGY POLICY, 2011, 39 (06) :3443-3455
[7]  
Decomposition analysis of energy consumption in Chinese transportation sector[J] . Ming Zhang,Huanan Li,Min Zhou,Hailin Mu.Applied Energy . 2010 (6)
[8]  
Why did China’s energy intensity increase during 1998–2006: Decomposition and policy analysis[J] . Xiaoli Zhao,Chunbo Ma,Dongyue Hong.Energy Policy . 2009 (3)
[9]  
Decomposition analysis for policymaking in energy:[J] . B.W Ang.Energy Policy . 2003 (9)
[10]  
A new energy decomposition method: perfect in decomposition and consistent in aggregation[J] . B.W. Ang,F.L. Liu.Energy . 2001 (6)