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Modeling regional impacts and resilience to water service disruptions in urban economies

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  • Sheree A Pagsuyoin

    (14710University of Massachusetts Lowell, Lowell, MA, USA)

  • Joost R Santos

Abstract

Water is a critical natural resource that sustains the productivity of many economic sectors, whether directly or indirectly. Climate change alongside rapid growth and development are a threat to water sustainability and regional productivity. In this paper, we develop an extension to the economic input-output model to assess the impact of water supply disruptions to regional economies. The model utilizes the inoperability variable, which measures the extent to which an infrastructure system or economic sector is unable to deliver its intended output. While the inoperability concept has been utilized in previous applications, this paper offers extensions that capture the time-varying nature of inoperability as the sectors recover from a disruptive event, such as drought. The model extension is capable of inserting inoperability adjustments within the drought timeline to capture time-varying likelihoods and severities, as well as the dependencies of various economic sectors on water. The model was applied to case studies of severe drought in two regions: (1) the state of Massachusetts (MA) and (2) the US National Capital Region (NCR). These regions were selected to contrast drought resilience between a mixed urban–rural region (MA) and a highly urban region (NCR). These regions also have comparable overall gross domestic products despite significant differences in the distribution and share of the economic sectors comprising each region. The results of the case studies indicate that in both regions, the utility and real estate sectors suffer the largest economic loss; nonetheless, results also identify region-specific sectors that incur significant losses. For the NCR, three sectors in the top 10 ranking of highest economic losses are government-related, whereas in the MA, four sectors in the top 10 are manufacturing sectors. Furthermore, the accommodation sector has also been included in the NCR case intuitively because of the high concentration of museums and famous landmarks. In contrast, the Wholesale Trade sector was among the sectors with the highest economic losses in the MA case study because of its large geographic size conducive for warehouses used as nodes for large-scale supply chain networks. Future modeling extensions could potentially include analysis of water demand and supply management strategies that can enhance regional resilience against droughts. Other regional case studies can also be pursued in future efforts to analyze various categories of drought severity beyond the case studies featured in this paper.

Suggested Citation

  • Sheree A Pagsuyoin & Joost R Santos, 2021. "Modeling regional impacts and resilience to water service disruptions in urban economies," Environment and Planning B, , vol. 48(5), pages 1058-1074, June.
    • Handle: RePEc:sae:envirb:v:48:y:2021:i:5:p:1058-1074
    DOI: 10.1177/2399808321998703
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    References listed on IDEAS

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    1. Yasuhide Okuyama & Adam Rose (ed.), 2019. "Advances in Spatial and Economic Modeling of Disaster Impacts," Advances in Spatial Science, Springer, number 978-3-030-16237-5.
    2. Francois Molle & Jeremy Berkoff, 2009. "Cities vs. agriculture: A review of intersectoral water re‐allocation," Natural Resources Forum, Blackwell Publishing, vol. 33(1), pages 6-18, February.
    3. Desbureaux, Sébastien & Rodella, Aude-Sophie, 2019. "Drought in the city: The economic impact of water scarcity in Latin American metropolitan areas," World Development, Elsevier, vol. 114(C), pages 13-27.
    4. Adam Rose & Shu‐Yi Liao, 2005. "Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 75-112, February.
    5. Yasuhide Okuyama & Adam Rose, 2019. "Advances in Spatial and Economic Modeling of Disaster Impacts: Introduction," Advances in Spatial Science, in: Yasuhide Okuyama & Adam Rose (ed.), Advances in Spatial and Economic Modeling of Disaster Impacts, chapter 0, pages 1-11, Springer.
    6. Joost R. Santos & Krista Danielle S. Yu & Sheree Ann T. Pagsuyoin & Raymond R. Tan, 2014. "Time-Varying Disaster Recovery Model For Interdependent Economic Systems Using Hybrid Input--Output And Event Tree Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 60-80, March.
    7. Banerjee, Onil & Bark, Rosalind & Connor, Jeff & Crossman, Neville D., 2013. "An ecosystem services approach to estimating economic losses associated with drought," Ecological Economics, Elsevier, vol. 91(C), pages 19-27.
    8. Carlos López-Morales & Faye Duchin, 2011. "Policies And Technologies For A Sustainable Use Of Water In Mexico: A Scenario Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 23(4), pages 387-407, September.
    9. François Molle, 2009. "Cities vs. Agriculture," Post-Print hal-03061693, HAL.
    10. Willa Paterson & Richard Rushforth & Benjamin L. Ruddell & Megan Konar & Ikechukwu C. Ahams & Jorge Gironás & Ana Mijic & Alfonso Mejia, 2015. "Water Footprint of Cities: A Review and Suggestions for Future Research," Sustainability, MDPI, vol. 7(7), pages 1-30, June.
    11. Sheree Pagsuyoin & Joost Santos & Gustavo Salcedo & Christian Yip, 2019. "Spatio-Temporal Drought Risk Analysis Using GIS-Based Input Output Modeling," Advances in Spatial Science, in: Yasuhide Okuyama & Adam Rose (ed.), Advances in Spatial and Economic Modeling of Disaster Impacts, chapter 0, pages 375-397, Springer.
    12. Velazquez, Esther, 2006. "An input-output model of water consumption: Analysing intersectoral water relationships in Andalusia," Ecological Economics, Elsevier, vol. 56(2), pages 226-240, February.
    13. Frank Ward & Manuel Pulido-Velazquez, 2012. "Economic Costs of Sustaining Water Supplies: Findings from the Rio Grande," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2883-2909, August.
    14. Martina Flörke & Christof Schneider & Robert I. McDonald, 2018. "Water competition between cities and agriculture driven by climate change and urban growth," Nature Sustainability, Nature, vol. 1(1), pages 51-58, January.
    15. Yasuhide Okuyama, 2007. "Economic Modeling for Disaster Impact Analysis: Past, Present, and Future," Economic Systems Research, Taylor & Francis Journals, vol. 19(2), pages 115-124.
    16. Freire-González, Jaume & Decker, Christopher & Hall, Jim W., 2017. "The Economic Impacts of Droughts: A Framework for Analysis," Ecological Economics, Elsevier, vol. 132(C), pages 196-204.
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