Agricultural Total Water Consumption Coefficient and Its Spatial Correlation Network in Yangtze River Economic Belt

Author:

Yang Yafeng12ORCID,Gao Yuanyuan3,Zhang Ru1,Xu Jijun45,Yuan Haohan3,Wang Hongrui2ORCID

Affiliation:

1. College of Sciences, North China University of Science and Technology, Tangshan 063210, China

2. College of Water Sciences, Beijing Normal University, Beijing 100875, China

3. South to North Water Transfer Planning and Design Administration, Ministry of Water Resources, Beijing 100038, China

4. Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, Wuhan 430010, China

5. Hubei Provincial Key Laboratory of Basin Water Resources and Ecological Environment, Changjiang River Scientific Research Institute, Wuhan 430010, China

Abstract

Agriculture contributes extensively to the economic development of countries; however, it is one of the main water-consuming industries. Revealing the characteristics and network structure of agricultural water use efficiency (AWUE) is conducive to green and coordinated development of agriculture. Considering that analyzing the variation of AWUE is helpful to calculating the AWUE, this study aims to calculate the total water consumption coefficient of the agricultural sector in the Yangtze River Economic Belt (YEB) by using the China interregional input-output tables in 2012 and 2017. The gravity model was modified to deduce the spatial correlation network of agricultural total water consumption coefficient (ATWCC), and the social network analysis method was used to analyze the network structural characteristics. The results show that: (1) compared to 2012, the AWUE of YEB in 2017 improved, with a decrease of ATWCC from 532.5 to 387.5 m3/10,000-yuan, account for 27.2%; (2) The network relevance of ATWCC of YEB’s 11 provinces (cities) enhanced, the rank relationship within the network and the network structure was relatively stable; (3) The spatial correlation network formed several network centers, Zhejiang and Jiangsu in the eastern coastal area were the main destinations of the spatial spillover of the spatial correlation network.

Funder

CRSRI Open Research Program

Beijing Natural Science Foundation

National Natural Science Foundation of China

111 Project

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

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