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Water 2017, 9(1), 18; doi:10.3390/w9010018

Research on the Influencing Factors of Comprehensive Water Consumption by Impulse Response Function Analysis

1
Ocean College, Zhejiang University, Zhoushan 316021, China
2
College of Civil Science and Engineering, Yangzhou University, Yangzhou 225009, China
*
Author to whom correspondence should be addressed.
Academic Editor: Arjen Y. Hoekstra
Received: 7 November 2016 / Revised: 10 December 2016 / Accepted: 27 December 2016 / Published: 3 January 2017
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Abstract

Jiangsu is a major province located in the east of China, consuming a large amount of water resources. It is considered that improving the comprehensive water use efficiency has an important significance to achieve sustainable development of the economy in Jiangsu. Through extensive literature research and investigation of Jiangsu Province, this paper establishes comprehensive water use efficiency index system using water consumption per ten thousand dollar gross domestic product (WC/$104 GDP) as the research target. In the index system, resource factors such as surface water resources (SW), groundwater resources (GW), precipitation (PT), water resources per capita (PW), water consumption per capita (PC) and irrigation area per capita (PI) cannot be artificially altered. Furthermore, the variation amplitude of resource factors is very small. It shows that the linear regression model is not suitable to analyze the resource factors by changing the independent variables. In view of this situation, this paper introduces impulse response function on the basis of vector autoregressive model (VAR) to investigate the intrinsic link between resource factors and WC/$104 GDP in Jiangsu Province. The results show that resource factors have a great impact on WC/$104 GDP in Jiangsu, and the per capita water resources (PW) has the most significant impact. View Full-Text
Keywords: water consumption per ten thousand dollar GDP; vector autoregressive model; impulse response function analysis water consumption per ten thousand dollar GDP; vector autoregressive model; impulse response function analysis
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Fang, S.; Jia, R.; Tu, W.; Sun, Z. Research on the Influencing Factors of Comprehensive Water Consumption by Impulse Response Function Analysis. Water 2017, 9, 18.

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