A multiregional input–output optimization model to assess impacts of water supply disruptions under climate change on the Great Lakes economy

References

• Antonelli, M., Roson, R., & Sartori, M. (2012). Systemic input–output computation of green and blue virtual water “flows” with an illustration for the Mediterranean region. Water Resources Management, 26(14), 4133–4146. https://doi.org/https://doi.org/10.1007/s11269-012-0135-9
   Web of Science ®Google Scholar
• Bočkarjova, M., Steenge, A. E., & Van Der Veen, A. (2004). On direct estimation of initial damage in the case of a major catastrophe: Derivation of the “basic equation”. Disaster Prevention and Management: An International Journal, 13(4), 330–336. https://doi.org/https://doi.org/10.1108/09653560410556555
   Google Scholar
• Bonfiglio, A., & Chelli, F. (2008). Assessing the behaviour of non-survey methods for constructing regional input–output tables through a Monte Carlo simulation. Economic Systems Research, 20(3), 243–258. https://doi.org/https://doi.org/10.1080/09535310802344315
   Web of Science ®Google Scholar
• Brinker, S. R., Garvey, M., & Jones, C. D. (2018). Climate change vulnerability assessment of species in the Ontario Great Lakes Basin. Ontario Ministry of Natural Resources and Forestry, Science and Research Branch, Peterborough, ON. Climate Change Research Report CCRR-48. 85 p. + append.
   Google Scholar
• Brouwer, R., Hofkes, M., & Linderhof, V. (2008). General equilibrium modelling of the direct and indirect economic impacts of water quality improvements in the Netherlands at national and river basin scale. Ecological Economics, 66(1), 127–140. https://doi.org/https://doi.org/10.1016/j.ecolecon.2007.11.015
   Web of Science ®Google Scholar
• Brouwer, R., Schenau, S., & Van Der Veeren, R. (2005). Integrated river basin accounting in the Netherlands and the European Water Framework Directive. Statistical Journal of the UN Economic Commission for Europe, 22(2), 111–131. https://doi.org/https://doi.org/10.3233/SJU-2005-22202
   Google Scholar
• Canning, P., & Wang, Z. (2004). A flexible modeling framework to estimate interregional trade patterns and input–output accounts (No. 3359, Policy Research Working Paper Series). The World Bank. https://doi.org/https://doi.org/10.1596/1813-9450-3359
   Google Scholar
• Cazcarro, I., Duarte, R., & Sánchez Chóliz, J. (2016b). Tracking water footprints at the micro and meso scale: an application to Spanish tourism by regions and municipalities. Journal of Industrial Ecology, 20(3), 446–461. https://doi.org/https://doi.org/10.1111/jiec.12414
   Web of Science ®Google Scholar
• Cazcarro, I., Duarte, R., & Sánchez-Chóliz, J. (2016a). Downscaling the grey water footprints of production and consumption. Journal of Cleaner Production, 132, 171–183. https://doi.org/https://doi.org/10.1016/j.jclepro.2015.07.113
   Web of Science ®Google Scholar
• Conference of Great Lakes and St. Lawrence Governors and Premiers. (2005). Great Lakes-St. Lawrence River Basin Sustainable Resources Agreement, 1-2, Dec. 13, 2005. https://www.gsgp.org/media/1332/great_lakes-st_lawrence_river_basin_sustainable_water_resources_agreement.pdf
   Google Scholar
• Dietzenbacher, E., & Miller, R. E. (2015). Reflections on the Inoperability Input–Output Model. Economic Systems Research, 27(4), 478–486. https://doi.org/https://doi.org/10.1080/09535314.2015.1052375
   Web of Science ®Google Scholar
• Dilekli, N., Duchin, F., & Cazcarro, I. (2018). Restricting water withdrawals of the thermal power sector: An input–output analysis for the northeast of the United States. Journal of Cleaner Production, 198, 258–268. https://doi.org/https://doi.org/10.1016/j.jclepro.2018.06.218
   Web of Science ®Google Scholar
• Duchin, F., & Levine, S. H. (2011). Sectors may use multiple technologies simultaneously: The rectangular choice-of-technology model with binding factor constraints. Economic Systems Research, 23(3), 281–302. https://doi.org/https://doi.org/10.1080/09535314.2011.571238
   Web of Science ®Google Scholar
• 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. https://doi.org/https://doi.org/10.1080/09535314.2012.714746
   Web of Science ®Google Scholar
• Environment and Climate Change Canada. (2019). Water availability: indicator initiative. Retrieved May 2019, from, https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/availability-indicator-initiative.html.
   Google Scholar
• Feng, K., Hubacek, K., Minx, J., Siu, Y. L., Chapagain, A., Yu, Y., Guan, D., & Barrett, J. (2011). Spatially Explicit Analysis of Water Footprints in the UK. Water, 3(1), 47–63. https://doi.org/https://doi.org/10.3390/w3010047
   Web of Science ®Google Scholar
• Flegg, A. T., & Tohmo, T. (2013). Regional input–output tables and the FLQ formula: A case study of Finland. Regional Studies, 47(5), 703–721. https://doi.org/https://doi.org/10.1080/00343404.2011.592138
   Web of Science ®Google Scholar
• Flegg, A. T., Webber, C. D., & Elliott, M. V. (1995). On the appropriate use of location quotients in generating regional input–output tables. Regional Studies, 29(6), 547–561. https://doi.org/https://doi.org/10.1080/00343409512331349173
   Web of Science ®Google Scholar
• Ghosh, A. (1958). Input–Output approach in an allocation system. Economica, 25(97), 58. https://doi.org/https://doi.org/10.2307/2550694
   Web of Science ®Google Scholar
• Great Lakes Commission. (2019). Great Lakes regional water use database. Retrieved December, 2019, from https://waterusedata.glc.org/index.php.
   Google Scholar
• Head, K., & Mayer, T. (2014). Gravity equations: Workhorse, toolkit, and cookbook. Handbook of International Economics, 4, 131–195. https://doi.org/https://doi.org/10.1016/B978-0-444-54314-1.00003-3
   Google Scholar
• Jahn, M. (2017). Extending the FLQ formula: a location quotient-based interregional input–output framework. Regional Studies, 51(10), 1518–1529. https://doi.org/https://doi.org/10.1080/00343404.2016.1198471
   Web of Science ®Google Scholar
• Jensen, O. P., Benson, B. J., Magnuson, J. J., Card, V. M., Futter, M. N., Soranno, P. A., & Stewart, K. M. (2007). Spatial analysis of ice phenology trends across the Laurentian Great Lakes region during a recent warming period. Limnology and Oceanography, 52(5), 2013–2026. https://doi.org/https://doi.org/10.4319/lo.2007.52.5.2013
   Web of Science ®Google Scholar
• Kitzes, J. (2013). An introduction to environmentally-extended input–output analysis. Resources, 2(4), 489–503. https://doi.org/https://doi.org/10.3390/resources2040489
   Google Scholar
• Kling, G. W., Hayhoe, K., Johnson, L. B., Magnuson, J. J., Polasky, S., Robinson, S. K., Shuter, B. J., Wander, M. M., Wuebbles, D. J., Zak, D. R., Lindroth, R. L., Moser, S. C., & Wilson, M. L. (2003). Confronting climate change in the great lakes region: Impacts on our communities and ecosystems. Union of Concerned Scientists and Ecological Society of America.
   Google Scholar
• Kronenberg, T. (2009). Construction of regional input–output tables using non survey methods: The role of cross-hauling. International Regional Science Review, 32(1), 40–64. https://doi.org/https://doi.org/10.1177/0160017608322555
   Web of Science ®Google Scholar
• Kronenberg, T. (2012). Regional input–output models and the treatment of imports in the European System of Accounts (ESA). Jahrbuch Fur Regionalwissenschaft, 32(2), 175–191. https://doi.org/https://doi.org/10.1007/s10037-012-0065-2
   Google Scholar
• Lenzen, M., Moran, D., Bhaduri, A., Kanemoto, K., Bekchanov, M., Geschke, A., & Foran, B. (2013). International trade of scarce water. Ecological Economics, 94, 78–85. https://doi.org/https://doi.org/10.1016/j.ecolecon.2013.06.018
   Web of Science ®Google Scholar
• Leontief, W. (1970). Environmental repercussions and the economic structure: An input–output approach. The Review of Economics and Statistics, 52(3), 262–271. https://doi.org/https://doi.org/10.2307/1926294
   Web of Science ®Google Scholar
• Liu, Y., Yang, D., & Lü, G. (2017). Water scarcity and generalized water resources management in Urumqi: Contributions from noncompetitive water input–output model. Journal of Water Resources Planning and Management, 143(8), 04017038. https://doi.org/https://doi.org/10.1061/(asce)wr.1943-5452.0000783
   Web of Science ®Google Scholar
• Lixon, B., Thomassin, P. J., & Hamaide, B. (2008). Industrial output restriction and the Kyoto protocol: An input–output approach with application to Canada. Ecological Economics, 68(1-2), 249–258. https://doi.org/https://doi.org/10.1016/j.ecolecon.2008.03.001
   Web of Science ®Google Scholar
• Lofgren, B., & Gronewold, A. (2012). Water resources. In J. Winkler, J. Andresen, J. Hatfield, D. Bidwell, & D. Brown (Eds.), U.S. national climate assessment mid-west technical input report. Great Lakes Integrated Sciences and Assessments (GLISA) Center. http://glisa.msu.edu/docs/NCA/MTIT_WaterResources.pdf.
   Google Scholar
• Lofgren, B. M., Quinn, F. H., Clites, A. H., Assel, R. A., Eberhardt, A. J., & Luukkonen, C. L. (2002). Evaluation of potential impacts on Great Lakes water resources based on climate scenarios of two GCMs. Journal of Great Lakes Research, 28(4), 537–554. https://doi.org/https://doi.org/10.1016/S0380-1330(02)70604-7
   Web of Science ®Google Scholar
• López-Morales, C. A., & Rodríguez-Tapia, L. (2019). On the economic analysis of wastewater treatment and reuse for designing strategies for water sustainability: Lessons from the Mexico Valley Basin. Resources, Conservation and Recycling, 140, 1–12. https://doi.org/https://doi.org/10.1016/j.resconrec.2018.09.001
   Web of Science ®Google Scholar
• Mayer, A., Mubako, S., & Ruddell, B. L. (2016). Developing the greatest Blue Economy: Water productivity, fresh water depletion, and virtual water trade in the Great Lakes basin. Earth’s Future, 4(6), 282–297. https://doi.org/https://doi.org/10.1002/2016EF000371
   Web of Science ®Google Scholar
• Miller, R. E., & Blair, P. D. (2009). Input–output analysis: Foundations and extensions, second edition, input–output analysis: Foundations and extensions. Second Edition, https://doi.org/https://doi.org/10.1017/CBO9780511626982
   Google Scholar
• Mortsch, L., Hengeveld, H., Lister, M., Wenger, L., Lofgren, B., Quinn, F., & Slivitzky, M. (2000). Climate change impacts on the hydrology of the great lakes-St. Lawrence system. Canadian Water Resources Journal, 25(2), 153–179. https://doi.org/https://doi.org/10.4296/cwrj2502153
   Google Scholar
• OECD. (2015). Water: Freshwater abstractions (Edition 2015). OECD Environment Statistics (database). Retrieved May 03, 2019 from, https://doi.org/https://doi.org/10.1787/f9f5fcd1-en.
   Google Scholar
• Oosterhaven, J. (1996). Leontief Versus Ghoshian price and quantity models. Southern Economic Journal, 62(3), 750. https://doi.org/https://doi.org/10.2307/1060892
   Web of Science ®Google Scholar
• Oosterhaven, J. (2012). Adding supply-driven consumption makes the Ghosh model even more implausible. Economic Systems Research, 24(1), 101–111. https://doi.org/https://doi.org/10.1080/09535314.2011.635137
   Web of Science ®Google Scholar
• Oosterhaven, J. (2017). On the limited usability of the inoperability IO model. Economic Systems Research, 29(3), 452–461. https://doi.org/https://doi.org/10.1080/09535314.2017.1301395
   Web of Science ®Google Scholar
• Petkovich, M. D., & Ching, C. T. K. (1978). Modifying a one region Leontief input–output model to show sector capacity constraints. Western Journal of Agricultural Economics, 3(2), 173–179.
   Google Scholar
• Pérez Blanco, C. D., & Thaler, T. (2014). An input–output assessment of water productivity in the castile and León region (Spain). Water, 6(4), 929–944. https://doi.org/https://doi.org/10.3390/w6040929
   Web of Science ®Google Scholar
• Pfister, S., Koehler, A., & Hellweg, S. (2009). Assessing the environmental impacts of freshwater consumption in LCA. Environmental Science and Technology, https://doi.org/https://doi.org/10.1021/es802423e.*
   Google Scholar
• Ridoutt, B. G., Hadjikakou, M., Nolan, M., & Bryan, B. A. (2018). From water-use to water-scarcity footprinting in environmentally extended input–output analysis. Environmental Science and Technology, 52(12), 6761–6770. https://doi.org/https://doi.org/10.1021/acs.est.8b00416
   PubMed Web of Science ®Google Scholar
• Santos, J. R., & Haimes, Y. Y. (2004). Modeling the demand reduction input–output (I-O) inoperability due to terrorism of interconnected infrastructures. Risk Analysis, 24(6), 1437–1451. https://doi.org/https://doi.org/10.1111/j.0272-4332.2004.00540.x
   PubMed Web of Science ®Google Scholar
• Sargento, A. L. M., Ramos, P. N., & Hewings, G. J. D. (2012). Inter-regional trade flow estimation through non-survey models: An empirical assessment. Economic Systems Research, 24(2), 173–193. https://doi.org/https://doi.org/10.1080/09535314.2011.574609
   Web of Science ®Google Scholar
• Statistics Canada. (2017a). (release date), Table 36-10-0438-01 (year 2014). Supply and use tables, summary level, provincial and territorial (x 1,000,000). Ottawa, https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3610043801, https://doi.org/https://doi.org/10.25318/3610043801-eng.
   Google Scholar
• Statistics Canada. (2017b). Human activity and the environment: Freshwater in Canada. Catalogue 16-201-X, ISSN 1923-6751. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3610043801, https://www150.statcan.gc.ca/n1/pub/16-201-x/16-201-x2017000-eng.pdf
   Google Scholar
• Statistics Canada. (2017c). (release date), Census Profile, 2016 census. Catalogue no. 98-316-X2016001. Ottawa. https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/prof/index.cfm?Lang=E.
   Google Scholar
• Statistics Canada. (2017d). (release date). Agricultural Water Survey, 2016. https://www150.statcan.gc.ca/n1/daily-quotidien/170908/dq170908c-eng.htm.
   Google Scholar
• Statistics Canada. (2017e). Physical flow account for water use (x 1,000). https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3810025001, https://doi.org/https://doi.org/10.25318/3810025001-eng.
   Google Scholar
• Statistics Canada. (2018a). (release date). Industrial Water Survey, 2015. https://www150.statcan.gc.ca/n1/daily-quotidien/180709/dq180709b-eng.htm.
   Google Scholar
• Statistics Canada. (2018b). (release date). Gross domestic product by Industry, under Supply, Use, and Input–Output Tables. https://www.statcan.gc.ca/eng/statistical-programs/document/1303_D7_T9_V1.
   Google Scholar
• Statistics Canada. (2019a). Table 50-503-X Canadian Freight Analysis Framework, 2011-2016. https://www150.statcan.gc.ca/n1/en/catalogue/50-503-X.
   Google Scholar
• Statistics Canada. (2019b). Table 38-10-0271-01 Potable water use by sector and average daily use, https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3810027101, https://doi.org/https://doi.org/10.25318/3810027101-eng.
   Google Scholar
• Többen, J., & Kronenberg, T. H. (2015). Construction of multi-regional input–output tables using the charm method. Economic Systems Research, 27(4), 487–507. https://doi.org/https://doi.org/10.1080/09535314.2015.1091765
   Web of Science ®Google Scholar
• United Nations. (2017). System of Environmental-Economic Accounting 2012. Applications and Extensions, [available online] https://seea.un.org/sites/seea.un.org/files/ae_final_en.pdf.
   Google Scholar
• US Environmental Protection Agency. (2020). Physical features of the Great Lakes. Consulted January 2020. https://www.epa.gov/greatlakes/physical-features-great-lakes.
   Google Scholar
• 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/https://doi.org/10.1016/j.ecolecon.2004.09.026
   Web of Science ®Google Scholar
• Victor, P. A. (1972). Input–output analysis of economic and environmental interactions. Economics of Pollution, 55–72. https://doi.org/https://doi.org/10.1007/978-1-349-01531-3_4
   Google Scholar
• White, D. J., Feng, K., Sun, L., & Hubacek, K. (2015). A hydro-economic MRIO analysis of the Haihe River Basin’s water footprint and water stress. Ecological Modelling, 318, 157–167. https://doi.org/https://doi.org/10.1016/j.ecolmodel.2015.01.017
   Web of Science ®Google Scholar
• Yoo, S. H., & Yang, H. J. (1999). Using input–output model to analyze water resources issues in Korea. Korea Observer, 30(2), 345–369.
   Google Scholar
• Yoo, S. H., & Yoo, T. H. (2009). The role of the nuclear power generation in the Korean national economy: An input–output analysis. Progress in Nuclear Energy, 51(1), 86–92. https://doi.org/https://doi.org/10.1016/j.pnucene.2007.12.001
   Web of Science ®Google Scholar
• Zhang, L., Yin, X., Xu, Z., Zhi, Y., & Yang, Z. (2016). Crop planting structure optimization for water scarcity alleviation in China. Journal of Industrial Ecology, 20(3), 435–445. https://doi.org/https://doi.org/10.1111/jiec.12447
   Web of Science ®Google Scholar