Volume 13 Issue 5
Oct.  2022
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Douglas Thomas, Jennifer Helgeson. The Effect of Natural Hazard Damage on Manufacturing Value Added and the Impact of Spatiotemporal Data Variations on the Results[J]. International Journal of Disaster Risk Science, 2022, 13(5): 691-704. doi: 10.1007/s13753-022-00438-x
Citation: Douglas Thomas, Jennifer Helgeson. The Effect of Natural Hazard Damage on Manufacturing Value Added and the Impact of Spatiotemporal Data Variations on the Results[J]. International Journal of Disaster Risk Science, 2022, 13(5): 691-704. doi: 10.1007/s13753-022-00438-x

The Effect of Natural Hazard Damage on Manufacturing Value Added and the Impact of Spatiotemporal Data Variations on the Results

doi: 10.1007/s13753-022-00438-x
  • Available Online: 2022-11-01
  • This study examined the effect of natural hazards on manufacturing industry value added and the sensitivity of the results from changes to spatiotemporal resolution of the data. We measured the negative effects of hazards, rather than the net effect. Three models were developed with varying spatiotemporal units for the continental United States:annual/county units; annual/state units; and quarterly/state units. Three simulations were run using each model to estimate the negative effect of damage from all natural hazards on value added across spatiotemporal scales. Finally, an investment analysis was conducted to examine the return from public investments in hazard resilience. The results do not demonstrate that, locally, natural hazards reduce value added. However, the evidence suggests that natural hazards in the upstream supply chain have statistically significant impact when modeled at the annual/county scale and at the quarterly/state scale. Neither local nor supply chain hazards have a statistically significant effect when modeled at the annual/state scale, suggesting that broader spatiotemporal units may obscure the true downstream effects of natural hazards. The investment analysis, utilizing model results, suggests that an investment of USD 100 billion or less is economical if it results in a reduction in losses of 10% or more.
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  • Albala-Bertrand, J.M. 1993. Natural disaster situations and growth: A macroeconomic model for sudden disaster impacts. World Development 21(9): 1417–1434.
    Alesch, D.J., J.N. Holly, E. Mittler, and R. Nagy. 2001. Organizations at risk: What happens when small businesses and not-for-profits encounter natural disasters. Fairfax, VA: Public Entity Risk Institute (PERI).
    Arizona State University. 2018. Spatial hazard events and losses database for the United States. https://cemhs.asu.edu/sheldus. Accessed 23 Nov 2020.
    Benson, C., and E.J. Clay. 2004. Understanding the economic and financial impacts of natural disasters. Washington, DC: The World Bank.
    Bui, T.-D., F.M. Tsai, M.-L. Tseng, R.R. Tan, K.D.S. Yu, and M.K. Lim. 2021. Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis. Sustainable Production and Consumption 26: 373–410.
    Bureau of Economic Analysis. 2020. GDP by county, metro, and other areas. https://www.bea.gov/data/gdp/gdp-county-metro-and-other-areas. Accessed 23 Nov 2020.
    Bureau of Economic Analysis. 2021. GDP by state. https://www.bea.gov/data/gdp/gdp-state. Accessed 8 June 2020.
    Cavallo, E.A., and I. Noy. 2009. The economics of natural disasters: A survey. SSRN Scholarly Paper ID 1817217. Rochester, NY: Social Science Research Network.
    Department of Transportation. 2018. Freight analysis framework: Data tabulation tool. https://faf.ornl.gov/fafweb/Extraction0.aspx. Accessed 5 June 2020.
    DHS (Department of Homeland Security). 2019. Supply chain resilience guide. https://www.fema.gov/sites/default/files/2020-07/supply-chain-resilience-guide.pdf. Accessed 8 Aug 2022.
    Dolgui, A., D. Ivanov, and B. Sokolov. 2018. Ripple effect in the supply chain: An analysis and recent literature. International Journal of Production Research 56(1–2): 414–430.
    Dong, Y. 2020. Determinants of entry: Evidence from new manufacturing firms in the U.S. Growth and Change 51(4): 1542–1561.
    Hallegatte, S., and P. Dumas. 2009. Can natural disasters have positive consequences? Investigating the role of embodied technical change. Ecological Economics 68(3): 777–786.
    Helgeson, J., J. Fung, A. Roa Henriquez, A. Zycherman, C. Nierenberg, D. Butry, D. Ramkissoon, and Y. Zhang. 2021. Longitudinal study of complex event resilience of small- and medium-sized enterprises: Natural disaster planning and recovery during the COVID-19 pandemic (wave 2). Gaithersburg, MD: National Institute of Standards and Technology. https://www.nist.gov/publications/longitudinal-study-complex-event-resilience-small-and-medium-sized-enterprises-natural. Accessed 10 Aug 2022.
    Henriet, F., S. Hallegatte, and L. Tabourier. 2012. Firm-network characteristics and economic robustness to natural disasters. Journal of Economic Dynamics and Control 36(1): 150–167.
    Hochrainer, S. 2009. Assessing the macroeconomic impacts of natural disasters: Are there any? SSRN Scholarly Paper ID 1427628. Rochester, NY: Social Science Research Network. https://papers.ssrn.com/abstract=1427628. Accessed 11 Nov 2021.
    Hoechle, D. 2007. Robust standard errors for panel regressions with cross-sectional dependence. The Stata Journal 7(3): 281–312.
    IPCC (Intergovernmental Panel on Climate Change). 2021. Summary for policymakers. In Climate change 2021: The physical science basis. Contribution of Working Group I to the sixth assessment report of the Intergovernmental Panel on Climate Change, ed. V. Masson-Delmotte, P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, et al., 3-32. Cambridge and New York: Cambridge University Press.
    Katsaliaki, K., P. Galetsi, and S. Kumar. 2021. Supply chain disruptions and resilience: A major review and future research agenda. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03912-1.
    Kennedy, P. 2003. A guide to econometrics, 5th edn. Cambridge, MA: MIT Press.
    Koks, E.E., and M. Thissen. 2016. A multiregional impact assessment model for disaster analysis. Economic Systems Research 28(4): 429–449.
    Li, X. 2014. Operations management of logistics and supply chain: Issues and directions. Discrete Dynamics in Nature and Society 2014: Article e701938.
    Loayza, N.V., E. Olaberría, J. Rigolini, and L. Christiaensen. 2012. Natural disasters and growth: Going beyond the averages. World Development 40(7): 1317–1336.
    McAuliffe, M., and B. Khadria (ed.). 2019. World migration report 2020. Geneva: International Organization for Migration. https://publications.iom.int/system/files/pdf/wmr_2020.pdf. Accessed 10 Aug 2022.
    McKinsey Global Institute. 2020. Risk, resilience, and rebalancing in global value chains. https://www.mckinsey.com/business-functions/operations/our-insights/risk-resilience-and-rebalancing-in-global-value-chains. Accessed 15 Nov 2021.
    Mohan, P.S., N. Spencer, and E. Strobl. 2019. Natural hazard-induced disasters and production efficiency: Moving closer to or further from the frontier?. International Journal of Disaster Risk Science 10(2): 166–178.
    NCEI (NOAA National Centers for Environmental Information). 2021. U.S. billion-dollar weather and climate disasters. https://www.ncdc.noaa.gov/billions/. Accessed 22 Aug 2022.
    Noy, I. 2009. The macroeconomic consequences of disasters. Journal of Development Economics 88(2): 221–231.
    Oh, E.H., A. Deshmukh, and M. Hastak. 2012. Vulnerability assessment of critical infrastructure, associated industries, and communities during extreme events. In Proceedings of Construction Research Congress 2010, 8–10 May 2010, Banff, Alberta, Canada, 449–469.
    Raddatz, C. 2007. Are external shocks responsible for the instability of output in low-income countries?. Journal of Development Economics 84(1): 155–187.
    Rose, A.Z. 2009. A framework for analyzing the total economic impacts of terrorist attacks and natural disasters. Journal of Homeland Security and Emergency Management 6(1). https://doi.org/10.2202/1547-7355.1399.
    Scheibe, K.P., and J. Blackhurst. 2018. Supply chain disruption propagation: A systemic risk and normal accident theory perspective. International Journal of Production Research 56(1–2): 43–59.
    Shughrue, C., B.T. Werner, and K.C. Seto. 2020. Global spread of local cyclone damages through urban trade networks. Nature Sustainability 3(8): 606–613.
    Skidmore, M., and H. Toya. 2002. Do natural disasters promote long-run growth?. Economic Inquiry 40(4): 664–687.
    Stata. 2013a. Regress postestimation. Stata User’s Guide: Release 13. https://www.stata.com/manuals13/rregresspostestimation.pdf. Accessed 7 Sept 2021.
    Stata. 2013b. Xtreg. Stata User’s Guide: Release 13. https://www.stata.com/manuals13/xtxtreg.pdf. Accessed 7 Sept 2021.
    Strobl, E. 2011. The economic growth impact of hurricanes: Evidence from U.S. coastal counties. The Review of Economics and Statistics 93(2): 575–589.
    Tang, C.S. 2006. Robust strategies for mitigating supply chain disruptions. International Journal of Logistics Research and Applications 9(1): 33–45.
    Thomas, D. 2017. Investment analysis methods. A practitioner’s guide to understanding the basic principles for investment decisions in manufacturing. NIST Advanced Manufacturing Series 200-5. Gaithersburg, MD: National Institute of Standards and Technology.
    Thomas, D., and J. Helgeson. 2021. The effect of natural/human-made hazards on business establishments and their supply chains. International Journal of Disaster Risk Reduction 59: Article 102257.
    Thomas, D., and A. Kandaswamy. 2015. Tracking industry operations activity: A case study of US automotive manufacturing. NIST Special Publication 1601. Gaithersburg, MD: National Institute of Standards and Technology.
    UNDRR (United Nations Office for Disaster Risk Reduction). 2019. Global assessment report on disaster risk reduction. Geneva: UNDRR.
    Wagner, S.M., and C. Bode. 2006. An empirical investigation into supply chain vulnerability. Journal of Purchasing and Supply Management 12(6): 301–312.
    Watson, M., Y. Xiao, J. Helgeson, and M. Dillard. 2020. Importance of households in business disaster recovery. Natural Hazards Review 21(4): Article 05020008.
    Wedawatta, G., and B. Ingirige. 2012. Resilience and adaptation of small and medium-sized enterprises to flood risk. Disaster Prevention and Management: An International Journal 21(4): 474–488.
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