Decomposing the Driving Factors of Water Use in China

Based on the national input–output table, a comparable price non-competitive input–output table was compiled for 2002, 2007, and 2012. The influence factors of price and product imports were removed from the table. Furthermore, a water-use input–output table was constructed based on the links betwee...

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Bibliographic Details
Published in:Sustainability 2019-04, Vol.11 (8), p.2300
Main Authors: Li, Wei, Wang, Xifeng, Liu, Jiahong, Jia, Yangwen, Qiu, Yaqin
Format: Article
Language:English
Subjects:
Agricultural production
Agricultural technology
Agriculture
Breeding of animals
Consumption
Cooling
Economic development
Efficiency
Farming
Fisheries
GDP
Gross Domestic Product
Imports
Industrial production
Irrigation
Nuclear energy
Per capita
Sustainability
Water conservation
Water management
Water resources
Water resources management
Water shortages
Water supply
Water use
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Summary:Based on the national input–output table, a comparable price non-competitive input–output table was compiled for 2002, 2007, and 2012. The influence factors of price and product imports were removed from the table. Furthermore, a water-use input–output table was constructed based on the links between the economic system and water resources management. With the multi-factor structural decomposition analysis (SDA) model developed in this paper, the driving forces of water use were decomposed into 18 factors, and quantitative effect results were obtained. Total water use in China increased by 3.9% from 2002 to 2007 and by 5.4% from 2007 to 2012 with the combined effects of multiple factors. For example, the increase in economic scale raised water use by 46.6% and 45.5%, respectively. Advancement in agricultural technology (production and water-saving technologies) reduced water use by 14.9% and 19.8%, respectively. Reducing the proportion of thermal/nuclear power and increasing the price of electricity have water use-reducing effects. Changes in the mode of development considerably reduced water use by 9.5% and 5.3%, respectively. Water-use management should focus on factors that have great influence on water use and show high water-use sensitivity.
ISSN:2071-1050
2071-1050
DOI:10.3390/su11082300