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Measuring Gains and Losses in Virtual Water Trade from Environmental and Economic Perspectives

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Abstract

Virtual water trade can generate an aggregate value gain or loss when there is a regionally disparity in the value of water resources. This paper proposes a novel integrated model to evaluate the impact of virtual water trade on the gain and loss in both environmental and economic dimensions. Environmentally, when virtual water flows from regions rich in water to regions short of water, the scarcity of water resources at the aggregate level is alleviated and positive gains are obtained. Economically, as virtual water is transferred from economically less developed regions to those that are economically developed, the marginal economic value of water resources is enhanced, resulting in a positive gain. China is characterized by significant disparities in the degree of water scarcity and the level of economic development in different areas of the country. This study therefore focuses on China as a case of how interregional virtual water trade leads to a loss or gain in aggregate value. We employ a Multi-regional Input–Output model to analyze the virtual water flows within China and adopt the Data Envelopment Analysis to evaluate the water shadow price. Results show that the virtual water flow in China in 2015 was mostly from water-scarce to water-rich regions, resulting in a loss of 8 billion m3 of scarce water; however, at the same time, economically developed areas received large amounts of virtual water from less developed areas, thereby generating a net economic gain of 8.5 trillion CNY. In particular, the virtual water trade from Heilongjiang to Shandong yielded the largest of environmental gains, saving 1.65 billion m3 of scarce water, and the virtual water trade from Xinjiang to Guangdong produced the largest of economic gains, hitting 479 billion CNY. This paper aims to serve as an inspiration for regional, national and even global virtual water trade practices.

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References

  • Allan JA (1993) Fortunately there are substitutes for water otherwise our hydropolitical futures would be impossible, priorities for water resources allocation and management. Overs Develop Adm 13(4):13–26

    Google Scholar 

  • Allan JA (1998) Virtual water: a strategic resource global solutions to regional deficits. Ground Water 36:545–546

    Article  Google Scholar 

  • Badrul MM et al (2019) Global implications of regional grain production through virtual water trade. Sci Total Environ 659:807–820

    Article  Google Scholar 

  • Baležentis T, Dabkienė V, Štreimikienė D (2022) Eco-efficiency and shadow price of greenhouse gas emissions in Lithuanian dairy farms: An application of the slacks-based measure.". J Clean Prod 356:131857

    Article  Google Scholar 

  • Bo Zhang ZM, Chen XH, Xia XY, Xu YBC (2013) The impact of domestic trade on china’s regional energy uses: a multi-regional input–output modeling. Energ Polic 63:1169–1181. https://doi.org/10.1016/j.enpol.2013.08.062

    Article  Google Scholar 

  • Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Operat Res 2:429–444

    Article  Google Scholar 

  • Christopher L et al (2019) The US food–energy–water system: a blueprint to fill the mesoscale gap for science and decision-making. Ambio 48(3):251–263

    Article  Google Scholar 

  • Chuxiong D et al (2020) Interprovincial food trade and water resources conservation in China. Sci Total Environ 737:139651–139651

    Article  Google Scholar 

  • Colby, Bonnie G. (1989) Estimating the value of water in alternative uses. Natural Resources Journal (29)2: 511–527. http://www.jstor.org/stable/24883538

  • Dandan Zhao Y, Tang JL, Tillotson MR (2017) Water footprint of Jing-Jin-Ji urban agglomeration in China. J Clean Prod 167:919–928. https://doi.org/10.1016/j.jclepro.2017.07.012

    Article  Google Scholar 

  • Feng K et al (2014) Virtual scarce water in China. Environ Sci Technol 48(14):7704–7713

    Article  Google Scholar 

  • Førsund FR (2018) Economic Interpretations of DEA. Socioecon Plann Sci 61:9–15

    Article  Google Scholar 

  • Gassert F, Luck M, Landis M, Reig P, Shiao T (2014) Aqueduct global maps 2.1: constructing decision-relevant global water risk indicators. World resources institute, Washington D.C. United States

  • Guan D, Hubacek K (2007) Assessment of regional trade and virtual water flows in China. Ecol Econ 61(1):159–170

    Article  Google Scholar 

  • Han MY, Chen GQ, Li YL (2018) Global water transfers embodied in international trade: tracking imbalanced and inefficient flows. J Clean Prod 184:50–64

    Article  Google Scholar 

  • Hoekstra AY, Chapagain AK, Aldaya MM, Mekonnen MM (2011) The water footprint assessment manual: Setting the global standard. Earthscan, London, UK

    Google Scholar 

  • Hoekstra AY, Hung PQ (2002) Virtual water trade: a quantification of virtual water flows between nations in relation to international crop trade (Value of water research report series No.11). Netherlands: UNESCO-IHE

  • Kao C (2009) Efficiency decomposition in network data envelopment analysis: a relational model. Eur J Oper Res 192(3):949–962

    Article  Google Scholar 

  • Laurène B et al (2018) Redressing the balance: quantifying net intercatchment groundwater flows. Hydrol Earth Syst Sci 22(12):6415–6434

    Article  Google Scholar 

  • Lenzen Manfred (2009) Understanding virtual water flows: a multiregion input-output case study of Victoria. Water Res Res 45(9):W09416-n/a

    Article  Google Scholar 

  • Lenzen M, Peters GM (2010) How city Dwellers affect their resource Hinterland. J Ind Ecol 14(1):73–90

    Article  Google Scholar 

  • Leontief WW (1941) Structure of american economy, 1919–1929: an empirical application of equilibrium analysis. Harvard University. Press, Cambridge, MA

    Google Scholar 

  • Chai L et al (2018) Assessing life cycle water use and pollution of coal-fired power generation in China using input-output analysis. Applied Energy 231:951–958

    Article  Google Scholar 

  • Liao X et al (2021) Unveiling economic co-benefits of virtual water trades: An empirical analysis on China's JingJinJi megalopolis. Water 13(21):3140

  • Liu X et al (2009) Evaluating and predicting shadow prices of water resources in China and its nine major river basins. Water Resour Manage 23(8):1467–1478

    Article  Google Scholar 

  • Liu W, Antonelli M, Kummu M et al (2019) Savings and losses of global water resources in food-related virtual water trade. Wiley Interdiscip Rev Water 6(1):e1320

    Article  Google Scholar 

  • Liu A, Han A, Chai L (2021) Life cycle blue and grey water in the supply Chain of China’s apparel manufacturing. Processes 9:1212. https://doi.org/10.3390/pr9071212

    Article  Google Scholar 

  • Ministry of Ecology and Environment of China (2016) Annual statistic report on environment in China. https://www.mee.gov.cn/hjzl/sthjzk/sthjtjnb/

  • Molinos-Senante M, Mocholí-Arce M, Sala-Garrido R (2016) Estimating the environmental and resource costs of leakage in water distribution systems: a shadow price approach. Sci Total Environ 568:180–188

    Article  Google Scholar 

  • National Bureau of Statistics of China (2016) Statistical Yearbook of China. http://www.stats.gov.cn/tjsj/ndsj/2016/indexch.htm

  • National Bureau of Statistics of China (2020) Statistical Yearbook of China. http://www.stats.gov.cn/tjsj/ndsj/2020/indexch.htm

  • Organization for Economic Cooperation and Development. Environment at a glance 2015: OECD indicators (2015) Retrieved from www.oecd-ilibrary.org/environment/environment-at-glance2015_9789264235199

  • Paolo D’O et al (2020) The global value of water in agriculture. Proc Natl Acad Sci 117(360):21985–21993

    Google Scholar 

  • Pfister S, Koehler A, Hellweg S (2009) Assessing the environmental impacts of freshwater consumption in LCA. Environ Sci Technol 43(11):4098–4104

    Article  Google Scholar 

  • Qian-wen Y, Feng-ping W, Zhang Z-F, Wan Z-C, Shen J-Y, Zhang L-N (2021) Technical inefficiency, abatement cost and substitutability of industrial water pollutants in Jiangsu province, China. J Clean Prod 280:124260. https://doi.org/10.1016/j.jclepro.2020.124260

    Article  Google Scholar 

  • Renault Daniel (2003) Value of virtual water in food: Principles and virtues. Hoekstra, AY (Ed.)

  • Ridoutt BG, Pfister S (2010) A revised approach to water footprinting to make transparent the impacts of consumption and production on global freshwater scarcity. Glob Environ Chang 20(1):113–120

    Article  Google Scholar 

  • Sabbaghi MA, Nazari M, Araghinejad S, Soufizadeh S (2020) Economic impacts of climate change on water resources and agriculture in Zayandehroud river basin in Iran. Agric Water Manag 241:106323. https://doi.org/10.1016/j.agwat.2020.106323

    Article  Google Scholar 

  • Salmoral G, Yan X (2018) Food-energy-water nexus: a life cycle analysis on virtual water and embodied energy in food consumption in the Tamar catchment UK. Res Conserv Recycl 133:320–330

    Article  Google Scholar 

  • Singbo AG, Lansink AO, Emvalomatis G (2015) Estimating shadow prices and efficiency analysis of productive inputs and pesticide use of vegetable production. Eur J Oper Res 245(1):265–272

    Article  Google Scholar 

  • The Ministry of Water Resources of China (2016) Water resources Bulletin. http://szy.mwr.gov.cn/gbsj/index.html

  • Wang Ke, Wei Y-M (2014) China’s regional industrial energy efficiency and carbon emissions abatement costs. Appl Energ 130:617–631

    Article  Google Scholar 

  • Wang W et al (2018) Sustainable water use and water shadow price in China’s Urban industry. Res Conserv Recycl 128:489

    Article  Google Scholar 

  • Wang Z et al (2019) Virtual water flow pattern of grain trade and its benefits in China. J Clean Prod 223:445–455

    Article  Google Scholar 

  • Wang L et al (2020) The drivers of export value-added in China’s provinces: a multi-regional input-output model. Appl Econ 52(57):6199–6214

    Article  Google Scholar 

  • Wichelns D (2004) The policy relevance of virtual water can be enhanced by considering comparative advantages. Agr Water Manage 66:49–63

    Article  Google Scholar 

  • Wu H et al (2022) Savings and losses of scarce virtual water in the international trade of wheat, maize, and rice. Int J Environ Res Public Health 19:4119. https://doi.org/10.3390/ijerph19074119

    Article  Google Scholar 

  • Wu H et al (2022) Interregional flows of virtual cropland within China. Environ Res Commun 4:075009. https://doi.org/10.1088/2515-7620/ac7fe3

    Article  Google Scholar 

  • Zhang C, Anadon LD (2014) A multi-regional input-output analysis of domestic virtual water trade and provincial water footprint in China. Ecol Econ 100:159–172

    Article  Google Scholar 

  • Zhao X, Liu J, Liu Q et al (2015) Physical and virtual water transfers for regional water stress alleviation in China. Proc Natl Acad Sci USA 112(4):1031–1035

    Article  Google Scholar 

  • Zhao X et al (2018) Measuring scarce water saving from interregional virtual water flows in China. Environ Res Lett 13(5):054012

    Article  Google Scholar 

  • Zhao D, Hubacek K, Feng K, Sun L, Liu J (2019) Explaining virtual water trade: a spatial-temporal analysis of the comparative advantage of land, labor and water in China. Water Res 153:304–314

    Article  Google Scholar 

  • Zheng H, Zhang Z, Wei W, Song M, Dietzenbacher E, Wang X, Meng J, Shan Y, Jiamin O, Guan D (2020) Regional determinants of China’s consumption-based emissions in the economic transition. Environ Res Lett 15(7):074001. https://doi.org/10.1088/1748-9326/ab794f

    Article  Google Scholar 

  • Zhuo L, Mekonnen MM, Hoekstra AY (2016) The effect of inter-annual variability of consumption, production, trade and climate on crop-related green and blue water footprints and inter-regional virtual water trade: a study for China (1978–2008). Water Res 94:73–85

    Article  Google Scholar 

  • Ziolkowska JR (2015) Shadow Price of Water for irrigation—A Case of the High Plains. Agric Water Manag 153:20–31

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Beijing Natural Science Foundation (9204027) and the National Key Technologies R&D Program of China (2022YFD1500205)

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This work was supported by Beijing Natural Science Foundation (9204027) and the National Key Technologies R&D Program of China (2022YFD1500205).

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Correspondence to Li Chai.

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Han, A., Liu, A., Guo, Z. et al. Measuring Gains and Losses in Virtual Water Trade from Environmental and Economic Perspectives. Environ Resource Econ 85, 195–209 (2023). https://doi.org/10.1007/s10640-023-00763-9

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