Driving Factors of Industrial Water Consumption in Wuhan City Circle Based on Logarithmic Mean Divisia Index

CHANG Jian-jun; CHEN Wei; AI Chan

doi:10.11988/ckyyb.20160729

PDF(1336 KB)

Journal of Changjiang River Scientific Research Institute ›› 2017, Vol. 34 ›› Issue (12) : 17-21. DOI: 10.11988/ckyyb.20160729

WATER RESOURCES AND ENVIRONMENT

Driving Factors of Industrial Water Consumption in Wuhan City Circle Based on Logarithmic Mean Divisia Index

CHANG Jian-jun, CHEN Wei, AI Chan

Author information +

History +

Abstract

The driving factors of industrial water consumption in Wuhan city circle is discussed in this article. The driving factors of industrial water consumption are divided into industrial water consumption per unit, industrial structure, economic scale and population size based on Logarithmic Mean Divisia Index. From the overall point of view, economic growth and population expansion promote the increase of industrial water consumption, and the main factor is economic growth; decrease of industrial water consumption per unit and the adjustment of industrial structure have inhibitory effect on industrial water consumption. The effects of driving factors on industrial water consumption in Wuhan city,Huangshi city,Xiaogan city and Qianjiang city are substantially consistent with the overall effect;in Ezhou city,only the decrease of industrial water consumption per unit shows inhibitory effect;in Huanggang city,Qianjiang city,Xiantao city and Tianmen city,only economy growth shows promoting effect on industrial water consumption. The results provide reference for the planning of industry water consumption and water-saving policy in Wuhan city circle.

Key words

Wuhan city circle / LMDI / industrial water consumption / driving factor / driving effect

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

CHANG Jian-jun, CHEN Wei, AI Chan. Driving Factors of Industrial Water Consumption in Wuhan City Circle Based on Logarithmic Mean Divisia Index[J]. Journal of Changjiang River Scientific Research Institute. 2017, 34(12): 17-21 https://doi.org/10.11988/ckyyb.20160729

References

[1] FAN Y,LIU L C,WU G,et al. Changes in Carbon Intensity in China:Empirical Finding from 1980-2003[J].Ecological Economics,2007,62(3/4):683-691.[2] GREENING L A. Effects of Human Behavior on Aggregate Carbon Intensity of Personal Transportation:Comparison of 10 OECD Countries for the Period 1970-1993[J].Energy Economics,2004,26(1):1-30. [3] SUN J W,ZHAO R Q,HUANG X J,et al. Research on Carbon Emission Estimation and Factor Decomposition of China from 1995 to 2005[J].Journal of Natural Resources,2010,2(1):65-72.[4] ZHANG M,MU H L,NING Y,et al. Decomposition of Energy-related CO₂ Emission over 1991-2006 in China[J].Ecological Economics,2009,68(7):2122-2128.[5] 刘源,李向阳,林剑艺,等.基于LMDI分解的厦门市碳排放强度影响因素分析[J].生态学报,2014,34(9):2378-2387.[6] 张伟,张金锁,邹绍辉,等.基于LMDI的陕西省能源消费碳排放因素分解研究[J].干旱区资源与环境,2013,27(9):26-31.[7] 孙才志,刘乐.中国产业用水增长质量的时空分异分析[J].资源科学,2011,33(1):56-63.[8] 孙才志,谢巍,邹玮.中国水资源利用效率驱动效应测度及空间驱动类型分析[J].地理科学,2011,31(10):1213-1220.[9] 秦昌波,葛察忠,贾仰文,等.陕西省生产用水变动的驱动机制分析[J].中国人口·资源与环境,2015,25(5):131-136.[10]刘翀,柏明国.安徽省工业行业用水消耗变化分析——基于LMDI分解法[J].资源科学,2012,34(12):2299-2305.[11]洪思扬,王红瑞,程涛,等.北京市第三产业用水特征及其发展策略[J].中国人口·资源与环境,2016,26(5):108-116.[12]鲍超.基于城镇化视角的绿洲城市用水变化驱动效应分析[J].干旱区地理,2012,35(6):988-995.[13]佟金萍,马剑锋,刘高峰.基于完全分解模型的中国万元 GDP用水量变动及因素分析[J].资源科学,2011,33(10): 1870-1876.[14]毛克贞,吴一丁.新疆产业结构变动的用水影响分析[J].新疆农业科学,2012, 49(2): 379-383.[15]吕文慧,高志刚.新疆产业用水变化的驱动效应分解及时空分异[J].资源科学,2013,35(7): 1380-1387.[16]贾绍凤,张士锋,夏军,等.经济结构调整的节水效应[J].水利学报,2004,(3):111-116.[17]孙可可,陈进.基于武汉市水资源“三条红线”管理的评价指标量化方法探讨[J].长江科学院院报,2011,28(12):5-9.[18]赵恩龙,黄薇,霍军军.基于分集控制的用水效率制度建设探讨[J].长江科学院院报,2011,28(12):23-26.[19]庄立,王红瑞,张文新.采用因素分解模型研究京津冀地区用水变化的驱动效应[J].环境科学研究,2016,29(2):290-298.