A multi-factor decomposing model and its application in finding impacting factors of Beijing water use efficiency

X. L. Liu, G. J.D. Hewings, X. K. Chen, S. H.Y. Wang

Research output: Contribution to journalArticlepeer-review

Abstract

The main purpose of this study was to explore factors affecting water use efficiency (WUE) by sector and find ways to improve it. A new Multi-Sector and Multi-Factors Logarithmic Mean Divisia Index (MLMDI) decomposing model was established in the paper. The model can decompose the change of WUE by sector into 14 factors definitely which can reveal 10 kinds of technology and structure effects and include indirect impacts. Applied the MLMDI model to Beijing, the affecting extent of 14 factors on WUE of 19 sectors during 2002-2007 were figured out. It was found that during 2002-2007 the drop of export and transfer out ratio of agriculture, the increase of grain production by unit of arable area had evident effects on improving water use efficiency by each sector. Industrial structure adjustment and labor structure change among different sectors had small impact on improving water use efficiency.

Original languageEnglish (US)
Pages (from-to)543-547
Number of pages5
JournalJournal of Chemical and Pharmaceutical Research
Volume5
Issue number12
StatePublished - Dec 1 2013

Keywords

  • Beijing
  • Input- output analysis
  • Multi-factor decomposing model
  • Water use efficiency

ASJC Scopus subject areas

  • Pharmaceutical Science

Fingerprint Dive into the research topics of 'A multi-factor decomposing model and its application in finding impacting factors of Beijing water use efficiency'. Together they form a unique fingerprint.

Cite this