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Identifying critical sectors and supply chain paths for virtual water and energy-related water trade in China

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  • Wang, Saige
  • Cao, Tao
  • Chen, Bin

Abstract

Investigations on water consumption of economic processes have been widely conducted, few of which, however, traced the water embodied in supply chain paths within trading activities. In this study, we quantified the contributions of various nodes and paths in national virtual water (VW) supply chain with structural path analysis (SPA) for inter-provincial blue and grey water accounting. First, we inventoried net blue and grey VW flows of 30 provinces in China, and identified major flows between energy-related sectors and others based on multi-regional input–output analysis and water stress index. Then, the pollution-oriented water consumption ratio (PWR), indicating the proportion of grey VW consumption to the sum of the grey and blue one, was proposed. The relationship between PWR and economic development was also analyzed. Finally, we investigated the contributions of each production layer in blue and grey VW supply chain and the contributions of supply chain paths driven by different final demand by SPA. The results showed that for blue VW, major exporter and importer were Xinjiang and Zhejiang, respectively, while that for grey VW were Heilongjiang and Jiangsu. Energy-related sectors’ VW outflows were mainly driven by Transport equipment, Construction and Other services, and inflows were mainly supported by Agriculture and Other manufacturing. Service-related sectors allocated more of their total VW consumption for pollution dilution while manufacturing-related sectors spent less. The amount of blue VW consumed at zeroth, first, and the rest production layers accounted for 45.0%, 35.0% and 20.0% of the total, respectively, and grey VW consumption shared the similar proportion. The specific nodes and supply chain paths identified in the study can provide insights for reducing water use in trading activities and achieving sustainable water saving roadmap.

Suggested Citation

  • Wang, Saige & Cao, Tao & Chen, Bin, 2021. "Identifying critical sectors and supply chain paths for virtual water and energy-related water trade in China," Applied Energy, Elsevier, vol. 299(C).
  • Handle: RePEc:eee:appene:v:299:y:2021:i:c:s030626192100708x
    DOI: 10.1016/j.apenergy.2021.117294
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    as
    1. Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.
    2. Ana Serrano & Dabo Guan & Rosa Duarte & Jouni Paavola, 2016. "Virtual Water Flows in the EU27: A Consumption-based Approach," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 547-558, June.
    3. Wang, Saige & Chen, Bin, 2016. "Energy–water nexus of urban agglomeration based on multiregional input–output tables and ecological network analysis: A case study of the Beijing–Tianjin–Hebei region," Applied Energy, Elsevier, vol. 178(C), pages 773-783.
    4. White, David J. & Hubacek, Klaus & Feng, Kuishuang & Sun, Laixiang & Meng, Bo, 2018. "The Water-Energy-Food Nexus in East Asia: A tele-connected value chain analysis using inter-regional input-output analysis," Applied Energy, Elsevier, vol. 210(C), pages 550-567.
    5. Nagashima, Fumiya, 2018. "Critical structural paths of residential PM2.5 emissions within the Chinese provinces," Energy Economics, Elsevier, vol. 70(C), pages 465-471.
    6. Shao, Ling & Li, Yuan & Feng, Kuishuang & Meng, Jing & Shan, Yuli & Guan, Dabo, 2018. "Carbon emission imbalances and the structural paths of Chinese regions," Applied Energy, Elsevier, vol. 215(C), pages 396-404.
    7. Lenzen, Manfred, 2007. "Structural path analysis of ecosystem networks," Ecological Modelling, Elsevier, vol. 200(3), pages 334-342.
    8. Wei Yang & Junnian Song, 2019. "Depicting Flows of Embodied Water Pollutant Discharge within Production System: Case of an Undeveloped Region," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    9. Llop, Maria & Ponce-Alifonso, Xavier, 2015. "Identifying the role of final consumption in structural path analysis: An application to water uses," Ecological Economics, Elsevier, vol. 109(C), pages 203-210.
    10. Liao, Xiawei & Zhao, Xu & Hall, Jim W. & Guan, Dabo, 2018. "Categorising virtual water transfers through China’s electric power sector," Applied Energy, Elsevier, vol. 226(C), pages 252-260.
    11. Su, Bin & Ang, B.W., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation," Ecological Economics, Elsevier, vol. 70(1), pages 10-18, November.
    12. Lenzen, Manfred & Moran, Daniel & Bhaduri, Anik & Kanemoto, Keiichiro & Bekchanov, Maksud & Geschke, Arne & Foran, Barney, 2013. "International trade of scarce water," Ecological Economics, Elsevier, vol. 94(C), pages 78-85.
    13. Glen Peters & Edgar Hertwich, 2006. "Structural analysis of international trade: Environmental impacts of Norway," Economic Systems Research, Taylor & Francis Journals, vol. 18(2), pages 155-181.
    14. Guan, Dabo & Hubacek, Klaus, 2007. "Assessment of regional trade and virtual water flows in China," Ecological Economics, Elsevier, vol. 61(1), pages 159-170, February.
    15. Wang, Saige & Liu, Yating & Chen, Bin, 2018. "Multiregional input–output and ecological network analyses for regional energy–water nexus within China," Applied Energy, Elsevier, vol. 227(C), pages 353-364.
    16. Yang, Jin & Chen, Bin, 2014. "Global warming impact assessment of a crop residue gasification project—A dynamic LCA perspective," Applied Energy, Elsevier, vol. 122(C), pages 269-279.
    17. Chaoqing Yu, 2011. "China's water crisis needs more than words," Nature, Nature, vol. 470(7334), pages 307-307, February.
    18. Ji, Shiyu & Chen, Bin, 2016. "Carbon footprint accounting of a typical wind farm in China," Applied Energy, Elsevier, vol. 180(C), pages 416-423.
    19. Lucia Irene Flores Lopez & Carlos Bautista-Capetillo, 2015. "Green and Blue Water Footprint Accounting for Dry Beans ( Phaseolus vulgaris ) in Primary Region of Mexico," Sustainability, MDPI, vol. 7(3), pages 1-16, March.
    20. Zhang, Chao & Anadon, Laura Diaz, 2014. "A multi-regional input–output analysis of domestic virtual water trade and provincial water footprint in China," Ecological Economics, Elsevier, vol. 100(C), pages 159-172.
    21. Markus Berger & Matthias Finkbeiner, 2010. "Water Footprinting: How to Address Water Use in Life Cycle Assessment?," Sustainability, MDPI, vol. 2(4), pages 1-26, April.
    22. Hong, Jingke & Shen, Qiping & Xue, Fan, 2016. "A multi-regional structural path analysis of the energy supply chain in China's construction industry," Energy Policy, Elsevier, vol. 92(C), pages 56-68.
    23. Zhang, Bo & Qu, Xue & Meng, Jing & Sun, Xudong, 2017. "Identifying primary energy requirements in structural path analysis: A case study of China 2012," Applied Energy, Elsevier, vol. 191(C), pages 425-435.
    24. Wang, Zhen & Wei, Liyuan & Niu, Beibei & Liu, Yong & Bin, Guoshu, 2017. "Controlling embedded carbon emissions of sectors along the supply chains: A perspective of the power-of-pull approach," Applied Energy, Elsevier, vol. 206(C), pages 1544-1551.
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    Cited by:

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    3. Wang, Saige & Chen, Bin, 2021. "Unraveling energy–water nexus paths in urban agglomeration: A case study of Beijing–Tianjin–Hebei," Applied Energy, Elsevier, vol. 304(C).
    4. Xiaoqing Huang & Xiaoyong Lu & Yuqi Sun & Jingui Yao & Wenxing Zhu, 2022. "A Comprehensive Performance Evaluation of Chinese Energy Supply Chain under “Double-Carbon” Goals Based on AHP and Three-Stage DEA," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    5. Hou, Juan-Juan & Wang, Zhen & Zhang, Jiu-Tian & Yu, Shi-Wei & Liu, Lan-Cui, 2022. "Revealing energy and water hidden in Chinese regional critical carbon supply chains," Energy Policy, Elsevier, vol. 165(C).

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