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Ecological Indicators
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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An input–output structural decomposition analysis of changes in sectoral water footprint in China

Authors: Kai Huang; Xiaomeng Wang; Yanjie Xu; Yajuan Yu; Tingting Hu;

An input–output structural decomposition analysis of changes in sectoral water footprint in China

Abstract

Abstract Policy evolution in China has made great achievements in economic development, while its impact on water has also been significant. This study provides detailed insight into how diverse policy evolution affected the water footprint (WF) in China from 1997 to 2007 through input–output analysis and structural decomposition analysis. Input–output analysis was used to measure China's WF. The results indicate that the total WF in China decreased from 495.5 billion m3 in 1997 to 447.6 billion m3 in 2007. Structural decomposition analysis was applied to quantify the determinants of the changes in WF. The driving factors of the WF changes were decomposed into technology, sectoral connection, economic structure, gross economic scale and population. The results show that the sector with the most space to save water changed from agriculture to tertiary industry during the periods under study. Technology and economic structure effects always offset the WF increase, whereas gross economic scale effect always hindered water conservation. In 2002–2005, the sectoral connection effect abruptly changed from negative to positive, with the proportion of the total contribution rising to 60%. This phenomenon can be linked to market expansion, which led to a decrease in water utilization when China joined the WTO in 2001. To promote water conservation in China, macro-control policies should be formulated in coordination with self-readjustment policies.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
68
Top 1%
Top 10%
Top 10%
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