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Estimating the cost-effectiveness of resilience to disasters: survey instrument design and refinement of primary data

In: Handbook on Resilience of Socio-Technical Systems

Author

Listed:
  • Noah Dormady
  • Adam Rose
  • Heather Rosoff
  • Alfredo Roa-Henriquez

Abstract

The chapter provides a methodology for measuring the cost-effectiveness of resilience to disasters. Whereas the vast majority of extant literature in the resilience field focuses on regional and community resilience, this work extends prior work by the authors on microeconomic (that is, firm-level) resilience and its measurement. Firm-level resilience actions, or tactics, are identified and described within an established economic resilience framework. A survey-based approach is presented with an explicit application to businesses impacted by Superstorm Sandy in the New York and New Jersey coastal areas. A small sample demonstration of resilience cost-effectiveness results is presented in the form of statistical cost curves. The chapter concludes with a discussion of both methodological and public policy applications of the approach.

Suggested Citation

  • Noah Dormady & Adam Rose & Heather Rosoff & Alfredo Roa-Henriquez, 2019. "Estimating the cost-effectiveness of resilience to disasters: survey instrument design and refinement of primary data," Chapters, in: Handbook on Resilience of Socio-Technical Systems, chapter 13, pages 227-246, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:17780_13
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    Cited by:

    1. Dormady, Noah C. & Rose, Adam & Roa-Henriquez, Alfredo & Morin, C. Blain, 2022. "The cost-effectiveness of economic resilience," International Journal of Production Economics, Elsevier, vol. 244(C).
    2. Walmsley, Terrie & Rose, Adam & John, Richard & Wei, Dan & Hlávka, Jakub P. & Machado, Juan & Byrd, Katie, 2023. "Macroeconomic consequences of the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 120(C).

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