Estimating the Cost-Effectiveness of Resilience to Disasters: Survey Instrument Design & Refinement of Primary Data

Dormady, N., Rose, A., Rosoff, H. & Roa-Henriquez, A. 2019. Estimating the Cost-Effectiveness of Resilience to Disasters: Survey Instrument Design & Refinement of Primary Data. In, Ruth, M., & Reisemann, S.G. (Eds). Handbook on Resilience of Socio-Technical Systems. Cheltenham: Edward Elgar.

24 Pages Posted: 28 Sep 2017 Last revised: 5 Jun 2020

See all articles by Noah Dormady

Noah Dormady

Ohio State University (OSU), John Glenn College of Public Affairs

Adam Rose

University of Southern California - Sol Price School of Public Policy

Heather Rosoff

University of Southern California

Alfredo Roa-Henriquez

Ohio State University (OSU), John Glenn School of Public Affairs

Date Written: January 25, 2019

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 (i.e., firm-level) resilience and its measurement. Firm-level resilience actions, or tactics, are identified and described within an established economic resilience framework (Rose, 2017: Dormady et al., 2017). A survey-based approach is presented with an explicit application to businesses impacted by Superstorm Sandy in the NY and NJ 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.

Keywords: Economic Resilience, Survey Design, Inherent and Adaptive Resilience, Disasters, Cost-Benefit Analysis

JEL Classification: C81, C83, D24, D61, L29, M21, Q54

Suggested Citation

Dormady, Noah and Rose, Adam and Rosoff, Heather and Roa-Henriquez, Alfredo, Estimating the Cost-Effectiveness of Resilience to Disasters: Survey Instrument Design & Refinement of Primary Data (January 25, 2019). Dormady, N., Rose, A., Rosoff, H. & Roa-Henriquez, A. 2019. Estimating the Cost-Effectiveness of Resilience to Disasters: Survey Instrument Design & Refinement of Primary Data. In, Ruth, M., & Reisemann, S.G. (Eds). Handbook on Resilience of Socio-Technical Systems. Cheltenham: Edward Elgar., Available at SSRN: https://ssrn.com/abstract=3042880 or http://dx.doi.org/10.2139/ssrn.3042880

Noah Dormady (Contact Author)

Ohio State University (OSU), John Glenn College of Public Affairs ( email )

110 Page Hall
1810 College Road
Columbus, OH 43210
United States

Adam Rose

University of Southern California - Sol Price School of Public Policy ( email )

Los Angeles, CA 90089-0626
United States

Heather Rosoff

University of Southern California ( email )

Los Angeles, CA 90089
United States

Alfredo Roa-Henriquez

Ohio State University (OSU), John Glenn School of Public Affairs ( email )

110 Page Hall
1810 College Road
Columbus, OH 43210
United States

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