Abstract

Managed retreat in the form of voluntary flood-buyout programs provides homeowners with an alternative to repairing and rebuilding residences that have sustained severe flood damage. Buyout programs are most economically efficient when groups of neighboring properties are acquired because they can then create unfragmented flood control areas and reduce the cost of providing local services. However, buyout programs in the United States often fail to acquire such efficient, unfragmented spaces, for various reasons, including long administrative timelines, the way in which buyout offers are made, desires for community cohesion, and attachments to place. Buyout programs have relied primarily on posted price mechanisms involving offers that are accepted or rejected by homeowners with little or no negotiation. In this paper, we describe four alternative strategies that have been used successfully in land-preservation agricultural–environmental contexts to increase acceptance rates and decrease fragmentation: agglomeration bonuses, reverse auctions, target constraints, and hybrid approaches. We discuss challenges that may arise during their implementation in the buyout context—transaction costs, equity and distributional impacts, unintended consequences, and social pressure—and recommend further research into the efficiency and equity of applying these strategies to residential buyout programs with the explicit goal of promoting spatial coordination.

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Data Availability Statement

No data, models, or code was generated or used during the study.

Acknowledgments

This publication was made possible by the National Science Foundation EPSCoR Grant No. 1757353 and the State of Delaware. The findings and conclusions in this manuscript are those of the authors and should not be construed to represent any official USDA or US government determination or policy. This paper was supported by the USDA, Economic Research Service. This research was completed while L. A. Paul was a postdoctoral researcher at the University of Delaware and P. K. Dineva was a graduate student at the University of Delaware.

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Natural Hazards Review
Volume 24Issue 1February 2023

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Received: Nov 23, 2021
Accepted: Sep 26, 2022
Published online: Dec 14, 2022
Published in print: Feb 1, 2023
Discussion open until: May 14, 2023

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Polina K. Dineva [email protected]
Coastal Economist, National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM), Lynker Technologies, LLC, Charleston, SC 32526. Email: [email protected]
Assistant Professor, Dept. of Applied Economics and Statistics, Univ. of Delaware, Newark, DE 19716. ORCID: https://orcid.org/0000-0002-8577-9038. Email: [email protected]
Kent D. Messer [email protected]
S. Hallock du Pont Professor, Dept. of Applied Economics and Statistics, Univ. of Delaware, Newark, DE 19716. Email: [email protected]
Associate Professor, Dept. of Applied Economics and Statistics, Univ. of Delaware, Newark, DE 19716. ORCID: https://orcid.org/0000-0001-8191-0310. Email: [email protected]
Research Agricultural Economist, Rural Economy Branch, US Dept. of Agriculture Economic Research Service, Newark, DE 19711 (corresponding author). ORCID: https://orcid.org/0000-0002-4889-3464. Email: [email protected]
Assistant Professor, Disaster Research Center, Biden School of Public Policy and Administration, and Dept. of Geography and Spatial Sciences, Univ. of Delaware, Newark, DE 19716. ORCID: https://orcid.org/0000-0001-6788-8313. Email: [email protected]

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