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Blue and Green Water Footprint Assessment for China—A Multi-Region Input–Output Approach

Author

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  • Siyu Hou

    (Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China)

  • Yu Liu

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
    School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xu Zhao

    (Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China)

  • Martin R. Tillotson

    (water@leeds, School of Civil Engineering, University of Leeds, Leeds LS2 9JT, UK)

  • Wei Guo

    (School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China)

  • Yiping Li

    (Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China)

Abstract

Research on blue and green water footprints (WF) for China has typically been carried out based on bottom-up and top-down approach using a single-region input–output table. However, this research typically lacks detail on the sectoral interrelationships which exist between China and its trading partners in other countries/regions of the world. Here, a multi-region input–output approach using the WIOD database was applied to quantify the blue and green WF for China in 2009. The quantification was conducted from both production (WFP) and consumption (WFC) perspectives. The results show that the total WFP for China in 2009 was 1152.2 km 3 , second only to India. At 1070.9 km 3 , China had the largest WFC volume in the world. The internal WF was 953.5 km 3 , taking the substantial share for both the WFC and WFP. Overall, China’s trade resulted in a net export of 53.5 km 3 virtual water. In contrast, the agricultural sector resulted in a net import of 70.6 km 3 virtual water to China, with United States, Brazil, and Canada acting as major suppliers. This study suggests that quantifying the WF of China at global level through a MRIO framework is a necessary step towards achieving sustainability for China’s water management.

Suggested Citation

  • Siyu Hou & Yu Liu & Xu Zhao & Martin R. Tillotson & Wei Guo & Yiping Li, 2018. "Blue and Green Water Footprint Assessment for China—A Multi-Region Input–Output Approach," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2822-:d:162816
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    References listed on IDEAS

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    1. Elbeltagi, Ahmed & Deng, Jinsong & Wang, Ke & Hong, Yang, 2020. "Crop Water footprint estimation and modeling using an artificial neural network approach in the Nile Delta, Egypt," Agricultural Water Management, Elsevier, vol. 235(C).

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