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Water Footprint and Consumer Products

  • Ignacio CazcarroEmail author
  • Iñaki Arto
Chapter
Part of the Environmental Footprints and Eco-design of Products and Processes book series (EFEPP)

Abstract

Water footprints of specific crops, animal, food products and forest products may typically be better captured by the study of the chains of these products with techniques under frameworks such as life cycle assessment (LCA), given the great heterogeneity in water intensities among most of these categories. Apart from these type of studies, with process analysis/specific supply chains view, also studies on Water Footprinting have been developed making use of more top-down techniques and analyses, such as extended environmental input-output (IO) models. In this regard, we examine these results making use of global multiregional IO (MRIO) databases such as World Input-Output Database (WIOD) and EXIOBASE. With them we can quantify the water footprints (WFs) of production and WFs of consumption of all (somehow aggregated) consumer products for different years in the period of 1995–2009. Results can be disaggregated by sectors and consumption categories, and compared with those results being obtained from the process analysis types of techniques. This lead us to characterize the appropriateness of each methods depending on the types of consumer products, considering also the type of supply chains up to the consumers, the boundary conditions established, etc. In particular MRIOs may suffer from aggregation errors, but also in an increasingly interconnected and globalized world they may have a role for WFs, especially to get industrial and even services ones, particularly for the computations of blue and grey water. Also avenues for integration of methods and open and future lines of research are discussed.

Keywords

Water footprint Multi-regional input-output models Consumer products WIOD 

References

  1. Aivazidou, E., et al. (2016). The emerging role of water footprint in supply chain management: A critical literature synthesis and a hierarchical decision-making framework. Journal of Cleaner Production Elsevier Ltd, 137, 1018–1037.  https://doi.org/10.1016/j.jclepro.2016.07.210.CrossRefGoogle Scholar
  2. Aldaya, M. M., Martínez-Santos, P., & Llamas, M. R. (2010). Incorporating the water footprint and virtual water into policy: Reflections from the Mancha Occidental Region, Spain. Water Resources Management, 24(5), 941–958.  https://doi.org/10.1007/s11269-009-9480-8.CrossRefGoogle Scholar
  3. Allan, J. A. (1993) Fortunately there are substitutes for water otherwise our hydro-political futures would be impossible. In Priorities for Water Resources Allocation and Management (pp. 13–26).Google Scholar
  4. Allan, J. A. (1994) Overall perspectives on countries and regions. In Water in the Arab World: Perspectives and Prognoses (pp. 65–100).Google Scholar
  5. Allan, J. A. (1996) Policy responses to the closure of water resources: Regional and global issues. In P. Howsam, & R. C. Carter (Eds.), Water Policy: Allocation and Management in Practice. London Proceedings of International Conference on Water Policy. Cranfield University.Google Scholar
  6. Arto, I., et al. (2012) Global resources use and pollution, volume 1/ production, consumption and trade (1995–2008). The JRC Institute for Prospective Technological Studies (JRC-IPTS).  https://doi.org/10.2791/94365.
  7. Arto, I., Andreoni, V., & Rueda-Cantuche, J. M. (2016). Global use of water resources: A multiregional analysis of water use, water footprint and water trade balance. Water Resources and Economics, 15, 1–14.  https://doi.org/10.1016/j.wre.2016.04.002.CrossRefGoogle Scholar
  8. Brown, A., & Matlock, M. D. (2011). A review of water scarcity indices and methodologies.Google Scholar
  9. Bullard, C. W., & Pilati, D. A. (1976). Reducing uncertainty in energy analysis. Urbana, IL: University of Illinois.Google Scholar
  10. Cazcarro, I., Duarte, R., & Sánchez-Chóliz, J. (2012). Water flows in the Spanish economy: Agri-food sectors, trade and households diets in an input-output framework. Environmental Science and Technology, 46(12).  https://doi.org/10.1021/es203772v.
  11. Cazcarro, I., Duarte, R. & Sánchez Chóliz, J. (2013). A multiregional Input-Output model for the evaluation of Spanish water flows. Environmental Science and Technology, 47(21), 12275–12283.  https://doi.org/10.1021/es4019964.
  12. Cazcarro, I., Duarte, R., & Sánchez Chóliz, J. (2016a). Tracking water footprints at the micro and meso scale: An application to Spanish tourism by regions and municipalities. Journal of Industrial Ecology.  https://doi.org/10.1111/jiec.12414.
  13. Cazcarro, I., López-Morales, C. A., & Duchin, F. (2016b). The global economic costs of the need to treat polluted water. Economic Systems Research, 28(3).  https://doi.org/10.1080/09535314.2016.1161600.
  14. Chapagain, A. K., & Hoekstra, A. Y. (2004). Water footprints of nations, value of water. Research report series.Google Scholar
  15. Chenery, H. B. (1953). Regional Analysis. In H. B. Chenery, P. G. Clark, & V. C. Pinna (Eds.), The structure and growth of the Italian economy (pp. 98–139). Rome: U.S. Mutual Security Agency.Google Scholar
  16. Chenoweth, J., Hadjikakou, M., & Zoumides, C. (2014). Quantifying the human impact on water resources: A critical review of the water footprint concept. Hydrology and Earth System Sciences, 18(6), 2325–2342.  https://doi.org/10.5194/hess-18-2325-2014. Copernicus Publications.CrossRefGoogle Scholar
  17. Chico, D., Aldaya, M. M., & Garrido, A. (2013). A water footprint assessment of a pair of jeans: The influence of agricultural policies on the sustainability of consumer products. Journal of Cleaner Production, 57, 238–248.  https://doi.org/10.1016/j.jclepro.2013.06.001. Elsevier Ltd.CrossRefGoogle Scholar
  18. Chouchane, H., Krol, M. S., & Hoekstra, A. Y. (2018). Virtual water trade patterns in relation to environmental and socioeconomic factors: A case study for Tunisia. Science of the Total Environment, 613–614, 287–297.  https://doi.org/10.1016/j.scitotenv.2017.09.032.CrossRefGoogle Scholar
  19. Daniels, P. L., Lenzen, M., & Kenway, S. J. (2011). The ins and outs of water use–A review of multi-region input–output analysis and water footprints for regional sustainability analysis and policy. Economic Systems Research, 23(4), 353–370.  https://doi.org/10.1080/09535314.2011.633500. Routledge.CrossRefGoogle Scholar
  20. Dietzenbacher, E., et al. (2007). Analysing Andalusian virtual water trade in an input-Output framework. Regional Studies, 41(2), 185–196.  https://doi.org/10.1080/00343400600929077.CrossRefGoogle Scholar
  21. Dietzenbacher, E. (2010). Vertical specialization in an intercountry input-output framework. Letters in Spatial and Resource Sciences, 3(3), 127–136.  https://doi.org/10.1007/s12076-010-0043-7. Springer.CrossRefGoogle Scholar
  22. Dietzenbacher, E., et al. (2013). The construction of world input–output tables in the WIOD project. Economic Systems Research, 25(1), 71–98.  https://doi.org/10.1080/09535314.2012.761180. Routledge.CrossRefGoogle Scholar
  23. Duchin, F. (1990). The conversion of biological materials and wastes to useful products. Structural Change and Economic Dynamics, 1(2), 243–261.Google Scholar
  24. Duarte, R., Pinilla, V., & Serrano, A. (2014a). The effect of globalisation on water consumption: A case study of the Spanish virtual water trade, 1849–1935. Ecological Economics, 100, 96–105.  https://doi.org/10.1016/j.ecolecon.2014.01.020.CrossRefGoogle Scholar
  25. Duarte, R., Pinilla, V., & Serrano, A. (2014b). The water footprint of the Spanish agricultural sector: 1860–2010. Ecological Economics, 108, 200–207.  https://doi.org/10.1016/j.ecolecon.2014.10.020.CrossRefGoogle Scholar
  26. Duarte, R., Sánchez-Chóliz, J., & Bielsa, J. (2002). Water use in the Spanish economy: An input-output approach. Ecological Economics, 43(1), 71–85.  https://doi.org/10.1016/s0921-8009(02)00183-0.CrossRefGoogle Scholar
  27. Duarte, R., & Yang, H. (2011). Input–output and water: Introduction to the special issue. Economic Systems Research, 23(4), 341–351.  https://doi.org/10.1080/09535314.2011.638277. Routledge.CrossRefGoogle Scholar
  28. Duchin, F. (2005). A world trade model based on comparative advantage with m regions, n goods, and k factors. Economic Systems Research, 17(2), 141–162.  https://doi.org/10.1080/09535310500114903.CrossRefGoogle Scholar
  29. Duchin, F., & López-Morales, C. (2012). Do water-rich regions have a comparative advantage in food production?: Improving the representation of water for agriculture in economic models. Economic Systems Research, 24(4), 371–389.CrossRefGoogle Scholar
  30. Ercin, A. E., Aldaya, M. M., & Hoekstra, A. Y. (2011). Corporate water footprint accounting and impact assessment: The case of the water footprint of a sugar-containing carbonated beverage. Water Resources Management, 25(2), 721–741.  https://doi.org/10.1007/s11269-010-9723-8.CrossRefGoogle Scholar
  31. Feng, K., et al. (2011). Comparison of bottom-up and top-down approaches to calculating the water footprints of nations. Economic Systems Research, 23(4), 371–385.  https://doi.org/10.1080/09535314.2011.638276. Routledge.CrossRefGoogle Scholar
  32. Feng, K., et al. (2012). Assessing regional virtual water flows and water footprints in the Yellow River Basin, China: A consumption based approach. Applied Geography, 32(2), 691–701.  https://doi.org/10.1016/j.apgeog.2011.08.004. Elsevier Ltd.CrossRefGoogle Scholar
  33. Feng, K., & Hubacek, K. (2015). A multi-region input-output analysis of global virtual water flows. In Handbook of Research methods and Applications in Environmental Studies (pp. 225–246).  https://doi.org/10.4337/9781783474646.
  34. Ferrão, P., & Nhambiu, J. (2009). A comparison between conventional LCA and Hybrid EIO-LCA: Analyzing crystal giftware contribution to global warming potential BT. In S. Suh (ed.), Handbook of input-output economics in industrial ecology (pp. 219–230). Dordrecht: Springer Netherlands.  https://doi.org/10.1007/978-1-4020-5737-3_11.
  35. Foster-McGregor, N., & Stehrer, R. (2013). Value added content of trade: A comprehensive approach. Economics Letters, 120(2), 354–357.  https://doi.org/10.1016/j.econlet.2013.05.003. Elsevier B.V.
  36. De Fraiture, C., et al. (2004). Does international cereal trade save water? The impact of virtual water trade on global water use.Google Scholar
  37. Gawel, E., & Bernsen, K. (2011). Do we really need a water footprint? Global trade, water scarcity and the limited role of virtual water. GAIA-Ecological Perspectives for Science and Society, 20, 162–167.CrossRefGoogle Scholar
  38. Gawel, E., & Bernsen, K. (2013). ‘What is wrong with virtual water trading? On the limitations of the virtual water concept. Environment and Planning C: Government and Policy, 31, 168–181.CrossRefGoogle Scholar
  39. Gerbens-Leenes, P. W. & Hoekstra, A. Y. (2008). Business water footprint accounting: A tool to assess how production of goods and services impacts on freshwater resources worldwide, Value of Water Research Report Series.  https://doi.org/10.1016/j.ecolecon.2008.06.021.
  40. Gerbens-Leenes, P. W., Hoekstra, A. Y., & van der Meer, T. (2009a). The water footprint of energy from biomass: A quantitative assessment and consequences of an increasing share of bio-energy in energy supply. Ecological Economics, 68(4), 1052–1060.  https://doi.org/10.1016/j.ecolecon.2008.07.013.CrossRefGoogle Scholar
  41. Gerbens-Leenes, W., Hoekstra, A. Y., & Van Der Meer, T. H. (2009b). The water footprint of bioenergy. Proceedings of the National Academy of Sciences of the United States of America, 106(25), 10219–10223.  https://doi.org/10.1073/pnas.0812619106.CrossRefGoogle Scholar
  42. Guan, D., & Hubacek, K. (2007). Assessment of regional trade and virtual water flows in China. Ecological Economics, 61(1), 159–170.  https://doi.org/10.1016/j.ecolecon.2006.02.022.CrossRefGoogle Scholar
  43. Guan, D., & Hubacek, K. (2008). A new and integrated hydro-economic accounting and analytical framework for water resources: A case study for North China. Journal of Environmental Management, 88(4), 1300–1313.  https://doi.org/10.1016/j.jenvman.2007.07.010.CrossRefGoogle Scholar
  44. Hadjikakou, M., Chenoweth, J., & Miller, G. (2013). Estimating the direct and indirect water use of tourism in the eastern Mediterranean. Journal of Environmental Management, 114, 548–556.CrossRefGoogle Scholar
  45. Hendricks, D. W., & Dehaan, R. W. (1981). The input-output water transactions model of supply and demand. Water Supply and Management, 5(4–5), 317–330. http://www.scopus.com/inward/record.url?eid=2-s2.0-0019375176&partnerID=40.
  46. Hoekstra, A. Y., et al. (2009a). Water footprint manual: State of the art 2009. Enschede, the Netherlands: Water Footprint Network.Google Scholar
  47. Hoekstra, A. Y., et al. (2011). The Water Footprint Assessment Manual: Setting the Global Standard. London, UK.Google Scholar
  48. Hoekstra, A. Y. (2013). The water footprint of modern consumer society. Water Resources Management, 27(11), 3847–3848.  https://doi.org/10.1007/s11269-013-0409-x.CrossRefGoogle Scholar
  49. Hoekstra, A. Y., et al. (no date) Water footprint manual: State of the art (2009, 2011), Water Footprint Network. Enschede, the Netherlands.Google Scholar
  50. Hoekstra, A. Y., & Chapagain, A. K. (2007). Water footprints of nations: Water use by people as a function of their consumption pattern. Water Resources Management, 21(1), 35–48.  https://doi.org/10.1007/s11269-006-9039-x.CrossRefGoogle Scholar
  51. Hoekstra, A. Y., Gerbens-Leenes, W., & Van Der Meer, T. H. (2009) Reply to Pfister and Hellweg: Water footprint accounting, impact assessment, and life-cycle assessment. Proceedings of the National Academy of Sciences of the United States of America, 106(40).  https://doi.org/10.1073/pnas.0909948106.
  52. Hoekstra, A. Y., & Hung, P. Q. (2002) Virtual water trade: A quantification of virtual water flows between nations in relation to international crop trade. Virtual Water Trade: A Quantification of Virtual Water Flows Between Nations in Relation to International Crop Trade.Google Scholar
  53. Hoekstra, A. Y., & Mekonnen, M. M. (2012). The water footprint of humanity. Proceedings of the National Academy of Sciences, 109(9), 3232–3237.  https://doi.org/10.1073/pnas.1109936109.CrossRefGoogle Scholar
  54. Hubacek, K., et al. (2016). Linking local consumption to global impacts. Journal of Industrial Ecology, 0(0), 382–386.  https://doi.org/10.1111/jiec.12463.
  55. Hummels, D., Ishii, J., & Yi, K.-M. (1999). The nature and growth of vertical specialization in world trade.Google Scholar
  56. Isard, W. (1951). Interregional and regional input-output analysis: A model of a space economy. Review of Economics and Statistics, 33(4), 318–328.CrossRefGoogle Scholar
  57. Kondo, Y., & Nakamura, S. (2003). Decision analytic extension of waste input–output model based on linear programming. In Paper presented at the second meeting of the international society for industrial ecology. Michigan: Ann Arbor.Google Scholar
  58. Koopman, R., Wang, Z., & Wei, S.-J. (2014). Tracing value-added and double counting. American Economic Review, 104(2), 459–494.  https://doi.org/10.1257/aer.104.2.459.CrossRefGoogle Scholar
  59. Krzywinski, M. I., et al. (2009). Circos: An information aesthetic for comparative genomics. Genome Research.  https://doi.org/10.1101/gr.092759.109.CrossRefGoogle Scholar
  60. Lenzen, M. (2009). Understanding virtual water flows: A multiregion input-output case study of Victoria. Water Resources Research, 45.  https://doi.org/10.1029/2008wr007649.
  61. Lenzen, M. (2011). Aggregation versus disaggregation in input–output analysis of the environment. Economic Systems Research, 23(1), 73–89.  https://doi.org/10.1080/09535314.2010.548793. Routledge.CrossRefGoogle Scholar
  62. Lenzen, M., et al. (2013a). International trade of scarce water. Ecological Economics, 94, 78–85.  https://doi.org/10.1016/j.ecolecon.2013.06.018.CrossRefGoogle Scholar
  63. Lenzen, M., Moran, D., & Kanemoto, K. (2013b). Building EORA: A global multi- region input–output database at high country and sector resolution. Economic Systems Research, 25(1), 37–41.CrossRefGoogle Scholar
  64. Leontief, W. (1970). Environmental repercussions and the economic structure: an input-output approach. The Review of Economics and Statistics, 52(3), 262–271.Google Scholar
  65. Lofting, E. M., & McGauhey, P. H. (1968). Economic valuation of water. An input-output analysis of California water requirements.Google Scholar
  66. Lopez-Gunn, E., & Llamas, M. R. (2008). Re-thinking water scarcity: Can science and technology solve the global water crisis? Natural Resources Forum, 32(3), 228–238.  https://doi.org/10.1111/j.1477-8947.2008.00200.x.CrossRefGoogle Scholar
  67. López-Morales, C. A., & Duchin, F. (2014). Economic implications of policy restrictions on water withdrawals from surface and underground sources. Economic Systems Research, 1–18.  https://doi.org/10.1080/09535314.2014.980224. Routledge.
  68. López-Morales, C., & Duchin, F. (2011). Policies and technologies for a sustainable use of water in Mexico: a scenario analysis. Economic Systems Research, 23(4), 387–407.  https://doi.org/10.1080/09535314.2011.635138. Routledge.CrossRefGoogle Scholar
  69. Makate, C., Wang, R., & Tatsvarei, S. (2018). Water footprint concept and methodology for warranting sustainability in human-induced water use and governance. Sustainable Water Resources Management, 4(1), 91–103.  https://doi.org/10.1007/s40899-017-0143-2.CrossRefGoogle Scholar
  70. Mason, N. (2013). Uncertain frontiers: mapping new corporate engagement in water security. London.Google Scholar
  71. Mekonnen, M. M., & Hoekstra, A. Y. (2010). The green, blue and grey water footprint of farm animals and animal products, 1(48).  https://doi.org/10.5194/hess-15-1577-2011.
  72. Mekonnen, M. M., & Hoekstra, A. Y. (2011a). Green, blue and grey water footprint of production and consumption. Delft, The Netherlands: UNESCO-IHE.  https://doi.org/10.5194/hessd-8-763-2011.
  73. Mekonnen, M. M., & Hoekstra, A. Y. (2011b). The blue water footprint of electricity from hydropower.Google Scholar
  74. Mekonnen, M. M., & Hoekstra, A. Y. (2011c). The green, blue and grey water footprint of crops and derived crop products. Hydrology and Earth System Sciences, 15(5), 1577–1600.  https://doi.org/10.5194/hess-15-1577-2011. Copernicus Publications.CrossRefGoogle Scholar
  75. Milà i Canals, L., et al. (2009) Assessing freshwater use impacts in LCA: Part I-Inventory modelling and characterisation factors for the main impact pathways. International Journal of Life Cycle Assessment, 14(1), 28–42.  https://doi.org/10.1007/s11367-008-0030-z.
  76. Miller, R. E., & Blair, P. D. (2009). Input-output analysis: Foundations and extensions, Cambridge Books from Cambridge University. Cambridge, UK: Cambridge University Press. http://books.google.com/books?id=PVoZPQAACAAJ.
  77. Moran, D., & Wood, R. (2014). Convergence between the EORA, WIOD, EXIOBASE, and OPENEU’s consumption-based carbon accounts. Economic Systems Research. Routledge, 26(3), 245–261.  https://doi.org/10.1080/09535314.2014.935298.CrossRefGoogle Scholar
  78. Morishima, M. (1973). Marx’s economics. Cambridge University Press.Google Scholar
  79. Moses, L. N. (1955). The stability of interregional trading patterns and input-output analysis. American Economic Review, 45, 803–832.Google Scholar
  80. Nakamura, S. (1999). Input–output analysis of waste cycles. In Proceedings of the first international symposium on environmentally conscious design and inverse manufacturing (pp. 475–480). Los Alamitos: IEEE Computer Society.Google Scholar
  81. Nakamura, S., & Kondo, Y. (2002). Input-output analysis of waste management. Journal of Industrial Ecology, 6(1), 39–63.Google Scholar
  82. Narayanan, G., Aguiar, A., & McDougall, R. (2012). Global trade, assistance, and production: The GTAP 8 data base. Center for Global Trade Analysis, Purdue University.Google Scholar
  83. Narayanan, G., Badri, A. A., & McDougall, R. (2015). Global trade, assistance, and production: The GTAP 9 data base. Center for Global Trade Analysis, Purdue University.Google Scholar
  84. OECD (2016). OECD Inter-Country Input-Output (ICIO). Organization for Economic Cooperation and Development.Google Scholar
  85. Okadera, T., Watanabe, M., & Xu, K. (2006). Analysis of water demand and water pollutant discharge using a regional input–output table: An application to the City of Chongqing, upstream of the Three Gorges Dam in China. Ecological Economics, 58(2), 221–237.  https://doi.org/10.1016/j.ecolecon.2005.07.005.CrossRefGoogle Scholar
  86. Oki, T., et al. (2003). Virtual water trade to Japan and in the world. In A. Y. Hoekstra (Ed.), Virtual water trade: proceedings of the international expert meeting on virtual water trade. Value of water research report series n 12. Delft, The Netherlands: UNESCO-IHE.Google Scholar
  87. Pellicer-Martínez, F., & Martínez-Paz, J. M. (2016). The water footprint as an indicator of environmental sustainability in water use at the river basin level. Science of the Total Environment, 571, 561–574.  https://doi.org/10.1016/j.scitotenv.2016.07.022. Elsevier B.V.
  88. Perry, C. (2014). Water footprints: Path to enlightenment, or false trail? Agricultural Water Management, 134, 119–125.  https://doi.org/10.1016/j.agwat.2013.12.004.CrossRefGoogle Scholar
  89. Pfister, S., et al. (2017). Understanding the LCA and ISO water footprint: A response to Hoekstra (2016) “A critique on the water-scarcity weighted water footprint in LCA”. Ecological Indicators, 72(Supplement C), 352–359.  https://doi.org/10.1016/j.ecolind.2016.07.051.
  90. Pfister, S., Koehler, A., & Hellweg, S. (2009). Assessing the environmental impacts of freshwater consumption in LCA. Environmental Science & Technology, 43(11), 4098–4104. http://www.ncbi.nlm.nih.gov/pubmed/19569336.
  91. Ridoutt, B. G., et al. (2009). Water footprinting at the product brand level: case study and future challenges. Journal of Cleaner Production, 17(13), 1228–1235.  https://doi.org/10.1016/j.jclepro.2009.03.002.CrossRefGoogle Scholar
  92. Ridoutt, B. G., & Pfister, S. (2010). A revised approach to water footprinting to make transparent the impacts of consumption and production on global freshwater scarcity. Global Environmental Change, 20(1), 113–120.  https://doi.org/10.1016/j.gloenvcha.2009.08.003.CrossRefGoogle Scholar
  93. Rivas Ibáñez, G., et al. (2017). A corporate water footprint case study: The production of Gazpacho, a chilled vegetable soup. Water Resources and Industry, 17, 34–42.  https://doi.org/10.1016/j.wri.2017.04.001.CrossRefGoogle Scholar
  94. Roemer, J. (1982) A general theory of exploitation and class. Harvard University Press.Google Scholar
  95. Sánchez-Chóliz, J., & Duarte, R. (2000). The economic impacts of newly irrigated areas in the Ebro Valley. Economic Systems Research. Routledge, 12(1), 83–98.  https://doi.org/10.1080/095353100111290.CrossRefGoogle Scholar
  96. Sánchez-Chóliz, J., & Duarte, R. (2005). Water pollution in the Spanish economy: Analysis of sensitivity to production and environmental constraints. Ecological Economics, 53(3), 325–338.  https://doi.org/10.1016/j.ecolecon.2004.09.013.CrossRefGoogle Scholar
  97. Sánchez Chóliz, J., Arrojo, P., & Bielsa, J. (1995). Water values for Aragon. In L. A. Albisu & C. Romero (Eds.), Environmental and Land Issues (pp. 475–489). Wissenschaftsuerlag Vauk Kiel: Kiel.Google Scholar
  98. Schendel, E. K., et al. (2007). Virtual water: A framework for comparative regional resource assessement. Journal of Environmental Assessment Policy and Management, 9(3), 341–355. http://www.scopus.com/inward/record.url?eid=2-s2.0-35649005417&partnerID=40.
  99. Serrano, A., et al. (2016). Virtual water flows in the EU27: A consumption-based approach. Journal of Industrial Ecology, forthcomin(3), 547–558.  https://doi.org/10.1111/jiec.12454.
  100. Shi, C., & Zhan, J. (2015). An input-output table based analysis on the virtual water by sectors with the five northwest provinces in China. Physics and Chemistry of the Earth, 79–82, 47–53.  https://doi.org/10.1016/j.pce.2015.03.004. Elsevier Ltd.CrossRefGoogle Scholar
  101. Stehrer, R. (2012). Value added trade: A tale of two concepts.Google Scholar
  102. Suh, S. (2004a). A note on the calculus for physical input-output analysis and its application to land appropriation of international trade activities. Ecological Economics, 48(1), 9–17. http://www.scopus.com/inward/record.url?eid=2-s2.0-0742320048&partnerID=40.
  103. Suh, S. (2004b). Functions, commodities and environmental impacts in an ecological-economic model. Ecological Economics, 48(4), 451–467.  https://doi.org/10.1016/j.ecolecon.2003.10.013.CrossRefGoogle Scholar
  104. Suh, S., et al. (2004). System boundary selection in life-cycle inventories using hybrid approaches. Environmental Science and Technology, 38(3), 657–664.  https://doi.org/10.1021/es0263745.CrossRefGoogle Scholar
  105. Suh, S., & Huppes, G. (2005). Methods for life cycle inventory of a product. Journal of Cleaner Production, 13(7), 687–697.  https://doi.org/10.1016/j.jclepro.2003.04.001.CrossRefGoogle Scholar
  106. Suh, S., & Kagawa, S. (2005). Industrial ecology and input-output economics: An introduction. Economic Systems Research, 17(4), 349–364.  https://doi.org/10.1080/09535310500283476.CrossRefGoogle Scholar
  107. Suh, S. W., & Heijungs, R. (2007). Power series expansion and structural analysis for life cycle assessment. International Journal of Life Cycle Assessment, 12(6), 381–390.  https://doi.org/10.1065/lca2007.08.360.CrossRefGoogle Scholar
  108. Tukker, A., et al. (2009). Towards a global multiregional environmentally-extended input-output database. Ecological Economics, 68(7), 1928–1937.CrossRefGoogle Scholar
  109. Tukker, A., et al. (2013). EXIOPOL–Development and illustrative analyses of a detailed global MR EE SUT/IOT. Economic Systems Research. Routledge, 25(1), 50–70.  https://doi.org/10.1080/09535314.2012.761952.CrossRefGoogle Scholar
  110. Tukker, A., & Dietzenbacher, E. (2013). Global multiregional input–output frameworks: an introduction and outlook. Economic Systems Research. Routledge, 25(1), 1–19.  https://doi.org/10.1080/09535314.2012.761179.CrossRefGoogle Scholar
  111. Vanham, D., & Bidoglio, G. (2013). A review on the indicator water footprint for the EU28. Ecological Indicators, 26, 61–75.  https://doi.org/10.1016/j.ecolind.2012.10.021.CrossRefGoogle Scholar
  112. Vanham, D., Mekonnen, M. M., & Hoekstra, A. Y. (2013). The water footprint of the EU for different diets. Ecological Indicators, 32, 1–8.  https://doi.org/10.1016/j.ecolind.2013.02.020.CrossRefGoogle Scholar
  113. Vegara, J. (1979). Economía política y modelos multisectoriales. Madrid: Tecnos.Google Scholar
  114. Velázquez, E. (2006). An input-output model of water consumption: Analysing intersectoral water relationships in Andalusia. Ecological Economics, 56(2), 226–240.  https://doi.org/10.1016/j.ecolecon.2004.09.026.CrossRefGoogle Scholar
  115. Vélazquez, E. (2001). Consumo de Agua y la Contaminación Hídrica en Andalucía. Un análisis desde el Modelo Input-Output y la Teoría de Grafos. PhD Thesis. Universidad Pablo Olavide de Sevilla (España).Google Scholar
  116. Vörösmarty, C. J., et al. (2015). Fresh water goes global. Science, 349(6247), 478 LP-479. http://science.sciencemag.org/content/349/6247/478.2.abstract.
  117. Wang, X., et al. (2016). An input-output structural decomposition analysis of changes in sectoral water footprint in China. Ecological Indicators, 69, 26–34.  https://doi.org/10.1016/j.ecolind.2016.03.029. Elsevier.CrossRefGoogle Scholar
  118. Wang, Y., Xiao, H. L., & Lu, M. F. (2009). Analysis of water consumption using a regional input-output model: Model development and application to Zhangye City, Northwestern China. Journal of Arid Environments, 73(10), 894–900.  https://doi.org/10.1016/j.jaridenv.2009.04.005.CrossRefGoogle Scholar
  119. Wichelns, D. (2010). Virtual water: A helpful perspective, but not a sufficient policy criterion. Water Resources Management, 24(10), 2203–2219.  https://doi.org/10.1007/s11269-009-9547-6.CrossRefGoogle Scholar
  120. Wichelns, D. (2011). Virtual water and water footprints: Compelling notions, but notably flawed: reaction to two articles regard the virtual water concept. GAIA, 20, 171–175.CrossRefGoogle Scholar
  121. Wichelns, D. (2015). Virtual water and water footprints: Overreaching into the discourse on sustainability, efficiency, and equity. Water Alternatives, 8(3), 396–414.Google Scholar
  122. Wood, R., et al. (2015). Global sustainability accounting—Developing EXIOBASE for multi-regional footprint analysis. Sustainability.  https://doi.org/10.3390/su7010138.CrossRefGoogle Scholar
  123. Yang, H., Pfister, S., & Bhaduri, A. (2013). Accounting for a scarce resource: virtual water and water footprint in the global water system. Current Opinion in Environmental Sustainability, 5(6), 599–606.  https://doi.org/10.1016/j.cosust.2013.10.003.CrossRefGoogle Scholar
  124. Younger, P. L. (2006). The water footprint of mining operations in space and time-A new paradigm for sustainability assessments?, in Australasian Institute of Mining and Metallurgy Publication Series, pp. 13–21. http://www.scopus.com/inward/record.url?eid=2-s2.0-58049164296&partnerID=40.
  125. Yu, Y., et al. (2010). Assessing regional and global water footprints for the UK. Ecological Economics, 69(5), pp. 1140–1147.  https://doi.org/10.1016/j.ecolecon.2009.12.008. Elsevier B.V.
  126. Zhang, C., & Anadon, L. D. (2014). A multi-regional input-output analysis of domestic virtual water trade and provincial water footprint in China. Ecological Economics, 100, 159–172.  https://doi.org/10.1016/j.ecolecon.2014.02.006. Elsevier B.V.
  127. Zhang, Y., et al. (2017). Mapping of water footprint research: A bibliometric analysis during 2006–2015. Journal of Cleaner Production, 149(Supplement C), 70–79.  https://doi.org/10.1016/j.jclepro.2017.02.067.
  128. Zhao, X., et al. (2010). Applying the input-output method to account for water footprint and virtual water trade in the Haihe River basin in China. Environmental Science and Technology, 44(23), 9150–9156.  https://doi.org/10.1021/es100886r.CrossRefGoogle Scholar
  129. Zhao, X. (2014). China’s inter-regional trade of virtual water: A multi-regional Input-output modeling, (pp. 1–27).Google Scholar
  130. Zhao, X., Chen, B., & Yang, Z. F. (2009). National water footprint in an input-output framework-A case study of China 2002. Ecological Modelling, 220(2), 245–253.  https://doi.org/10.1016/j.ecolmodel.2008.09.016.CrossRefGoogle Scholar
  131. Zimmer, D., & Renault, D. (2003). Virtual water in food production and global trade: review of methodological issues and preliminary results. In A. Y. Hoekstra (Ed.) Virtual Water Trade: Proceedings of the International Expert Meeting on Virtual Water Trade. Delft, The Netherlands: Value of Water Research Report Series n 12. UNESCO-IHE.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Economic AnalysisARAID-Aragonese Agency for Research and Development, Agrifood Institute of Aragon, University of ZaragozaZaragozaSpain
  2. 2.BC3-Basque Centre for Climate Change – Klima Aldaketa IkergaiBilbaoSpain

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