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The cost of social vulnerability: an integrative conceptual framework and model for assessing financial risks in natural disaster management

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  • Sungyoon Lee

    (State University of New York (SUNY) at Albany)

  • Jennifer Dodge

    (State University of New York (SUNY) at Albany)

  • Gang Chen

    (State University of New York (SUNY) at Albany)

Abstract

Groups that are unable to prepare for disasters, or to recover from damage on their own, have a high dependency on government services, which inevitably leads to more government spending. Given this, governments can better project the entire cost of disasters and, in turn, effectively manage their finances, by proactively identifying high-vulnerable populations in anticipating financial costs of disasters. However, little attention has been paid to social vulnerability in assessing financial risks in the natural hazards or public finance studies. Thus, this article fills this gap by bringing the concept of social vulnerability from three different fields of study to propose a conceptual framework and corresponding applicable model for estimating disaster costs to inform governmental financial management: the sociological literature on disaster management, economics literature on risk management, and environmental literature of disasters. We review 134 articles on vulnerability from 1990 to 2021, assessing the different conceptualizations of social vulnerability, and the factors affecting vulnerable populations, in each literature. This study contributes to the natural hazards literature on financial and emergency management by integrating the existing literature on social vulnerability into a conceptual framework for measuring social vulnerability and relating it to efforts to assess the financial impact of disasters. Furthermore, based on this conceptual framework, we develop an applicable model for estimating the financial costs of disasters that researchers or governments may apply to assess and develop effective strategies for managing the financial risks associated with disasters. Specifically, the model, which we call the cost of social vulnerability to disasters model (CSVDM), suggests specific indicators from the literature to measure the costs of social vulnerability to more accurately predict the financial impact of disasters.

Suggested Citation

  • Sungyoon Lee & Jennifer Dodge & Gang Chen, 2022. "The cost of social vulnerability: an integrative conceptual framework and model for assessing financial risks in natural disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 691-712, October.
    • Handle: RePEc:spr:nathaz:v:114:y:2022:i:1:d:10.1007_s11069-022-05408-6
    DOI: 10.1007/s11069-022-05408-6
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    as
    1. Ghesquiere,Francis & Mahul,Olivier, 2010. "Financial protection of the state against natural disasters : a primer," Policy Research Working Paper Series 5429, The World Bank.
    2. Cesar Calvo & Stefan Dercon, 2013. "Vulnerability to individual and aggregate poverty," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(4), pages 721-740, October.
    3. Carlsson, Fredrik & Martinsson, Peter, 2001. "Do Hypothetical and Actual Marginal Willingness to Pay Differ in Choice Experiments?: Application to the Valuation of the Environment," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 179-192, March.
    4. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    5. Noy, Ilan & Nualsri, Aekkanush, 2011. "Fiscal storms: public spending and revenues in the aftermath of natural disasters," Environment and Development Economics, Cambridge University Press, vol. 16(1), pages 113-128, February.
    6. Gisele Kamanou & Jonathan Morduch, 2002. "Measuring Vulnerability to Poverty," WIDER Working Paper Series DP2002-58, World Institute for Development Economic Research (UNU-WIDER).
    7. Craig E. Landry & Paul Hindsley & Okmyung Bin & Jamie B. Kruse & John C. Whitehead & Ken Wilson, 2011. "Weathering the Storm: Measuring Household Willingness‐to‐Pay for Risk‐Reduction in Post‐Katrina New Orleans," Southern Economic Journal, John Wiley & Sons, vol. 77(4), pages 991-1013, April.
    8. Masozera, Michel & Bailey, Melissa & Kerchner, Charles, 2007. "Distribution of impacts of natural disasters across income groups: A case study of New Orleans," Ecological Economics, Elsevier, vol. 63(2-3), pages 299-306, August.
    9. R Gaiha & K Imai, 2006. "Vulnerability and poverty in rural India-estimates for rural south India," Economics Discussion Paper Series 0602, Economics, The University of Manchester.
    10. Howard Kunreuther & Mark Pauly, 2006. "Rules rather than discretion: Lessons from Hurricane Katrina," Journal of Risk and Uncertainty, Springer, vol. 33(1), pages 101-116, September.
    11. Howard Kunreuther & Mark Pauly, 2006. "Rules Rather Than Discretion: Lessons from Hurricane Katrina," NBER Working Papers 12503, National Bureau of Economic Research, Inc.
    12. Arif Almutairi & Monjur Mourshed & Raed Fawzi Mohammed Ameen, 2020. "Coastal community resilience frameworks for disaster risk management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(2), pages 595-630, March.
    13. Gaither, Cassandra Johnson & Poudyal, Neelam C. & Goodrick, Scott & Bowker, J.M. & Malone, Sparkle & Gan, Jianbang, 2011. "Wildland fire risk and social vulnerability in the Southeastern United States: An exploratory spatial data analysis approach," Forest Policy and Economics, Elsevier, vol. 13(1), pages 24-36, January.
    14. Mauricio Gallardo, 2018. "Identifying Vulnerability To Poverty: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1074-1105, September.
    15. Ethan Ligon & Laura Schechter, 2003. "Measuring Vulnerability," Economic Journal, Royal Economic Society, vol. 113(486), pages 95-102, March.
    16. Alice Fothergill & Lori Peek, 2004. "Poverty and Disasters in the United States: A Review of Recent Sociological Findings," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 32(1), pages 89-110, May.
    17. Gonzalez, Christian Y. & Paqueo, Vicente B., 2003. "Social sector expenditures and rainy-day funds," Policy Research Working Paper Series 3131, The World Bank.
    18. Gang Chen, 2020. "Assessing the Financial Impact of Natural Disasters on Local Governments," Public Budgeting & Finance, Wiley Blackwell, vol. 40(1), pages 22-44, February.
    19. J. Matthew Fannin & John D. Barreca & Joshua D. Detre, 2012. "The Role of Public Wealth in Recovery and Resiliency to Natural Disasters in Rural Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(2), pages 549-555.
    20. Cheng Miao & Mingtao Ding, 2017. "Analysis of influence of natural disaster on the economy and prediction of recovery time based on grey forecasting–difference comparison model: a case study in the upper Min River," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1135-1150, January.
    21. Susan L. Cutter & Christopher T. Emrich, 2006. "Moral Hazard, Social Catastrophe: The Changing Face of Vulnerability along the Hurricane Coasts," The ANNALS of the American Academy of Political and Social Science, , vol. 604(1), pages 102-112, March.
    22. Ouattara, Bazoumana & Strobl, Eric, 2013. "The fiscal implications of hurricane strikes in the Caribbean," Ecological Economics, Elsevier, vol. 85(C), pages 105-115.
    23. Erick M. Elder & Gary A. Wagner, 2013. "Revenue Cycles and Risk-Sharing in Local Governments: An Analysis of State Rainy Day Funds," National Tax Journal, National Tax Association;National Tax Journal, vol. 66(4), pages 939-960, December.
    24. Eric Nazindigouba Kere & Somlanaré Romuald Kinda & Rasmané Ouedraogo, 2015. "Do Natural Disasters Hurt Tax Resource Mobilization?," CERDI Working papers halshs-01242968, HAL.
    25. D. Yoon, 2012. "Assessment of social vulnerability to natural disasters: a comparative study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 823-843, September.
    26. Barry Smit & Mark Skinner, 2002. "Adaptation options in agriculture to climate change: a typology," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 7(1), pages 85-114, March.
    27. Luc J. Christiaensen & Kalanidhi Subbarao, 2005. "Towards an Understanding of Household Vulnerability in Rural Kenya," Journal of African Economies, Centre for the Study of African Economies, vol. 14(4), pages 520-558, December.
    28. Paolo Prosperi & Thomas Allen & Bruce Cogill & Martine Padilla & Iuri Peri, 2016. "Towards metrics of sustainable food systems: a review of the resilience and vulnerability literature," Environment Systems and Decisions, Springer, vol. 36(1), pages 3-19, March.
    29. Marvin Phaup & Charlotte Kirschner, 2010. "Budgeting for disasters: Focusing on the good times," OECD Journal on Budgeting, OECD Publishing, vol. 10(1), pages 1-24.
    30. Chernick, Howard & Haughwout, Andrew F., 2006. "Tax Policy and the Fiscal Cost of Disasters: NY and 9/11," National Tax Journal, National Tax Association;National Tax Journal, vol. 59(3), pages 561-577, September.
    31. Xiaodong Zhu & Zijing Jin & Shunsuke Managi & XiRong Xun, 2021. "How meteorological disasters affect the labor market? The moderating effect of government emergency response policy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2625-2640, July.
    32. Weber, Lynn & Hilfinger Messias, DeAnne K., 2012. "Mississippi front-line recovery work after Hurricane Katrina: An analysis of the intersections of gender, race, and class in advocacy, power relations, and health," Social Science & Medicine, Elsevier, vol. 74(11), pages 1833-1841.
    33. James R. Elliott & Jeremy Pais, 2010. "When Nature Pushes Back: Environmental Impact and the Spatial Redistribution of Socially Vulnerable Populations," Social Science Quarterly, Southwestern Social Science Association, vol. 91(s1), pages 1187-1202.
    34. Qing Miao & Yilin Hou & Michael Abrigo, 2018. "Measuring the Financial Shocks of Natural Disasters: A Panel Study of U.S. States," National Tax Journal, National Tax Association;National Tax Journal, vol. 71(1), pages 11-44, March.
    35. Le-Le Zou & Yi-Ming Wei, 2009. "Impact assessment using DEA of coastal hazards on social-economy in Southeast Asia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 48(2), pages 167-189, February.
    36. Charlotte Benson & Edward J. Clay, 2004. "Understanding the Economic and Financial Impacts of Natural Disasters," World Bank Publications - Books, The World Bank Group, number 15025, December.
    37. Craig E. Landry & Paul Hindsley & Okmyung Bin & Jamie B. Kruse & John C. Whitehead & Ken Wilson, 2011. "Weathering the Storm: Measuring Household Willingness-to-Pay for Risk-Reduction in Post-Katrina New Orleans," Southern Economic Journal, John Wiley & Sons, vol. 77(4), pages 991-1013, April.
    38. James R. Elliott & Jeremy Pais, 2010. "When Nature Pushes Back: Environmental Impact and the Spatial Redistribution of Socially Vulnerable Populations," Social Science Quarterly, Southwestern Social Science Association, vol. 91(5), pages 1187-1202, December.
    39. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    40. Matthew E. Kahn, 2005. "The Death Toll from Natural Disasters: The Role of Income, Geography, and Institutions," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 271-284, May.
    41. Zachary T. Goodman & Caitlin A. Stamatis & Justin Stoler & Christopher T. Emrich & Maria M. Llabre, 2021. "Methodological challenges to confirmatory latent variable models of social vulnerability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2731-2749, April.
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