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Articles

Can Insurance Payouts Prevent a Poverty Trap? Evidence from Randomised Experiments in Northern Kenya

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Pages 2079-2096
Received 10 Aug 2019
Accepted 17 Feb 2020
Published online: 16 Mar 2020
 

Abstract

Index-based insurance can have welfare-enhancing effects through two pathways: by inducing policyholders to change their investment and risk-management decisions or by mitigating weather-related shocks through payouts. Most studies fail to distinguish between these two; thus, we know little about which effects dominate and their long-term welfare implications. This study uses a random distribution of discount coupons and drought events that trigger payouts as exogenous variations in order to identify both the ex ante risk-management and ex post payout effects of index-based livestock insurance in a pastoral-dominant society of northern Kenya, where the literature has detected asset-based poverty traps, represented by bifurcated herd-size dynamics. We find that, first, both risk-management and payout effects help reduce the probability of distress sales of livestock. Second, payout effects also reduce the slaughter of livestock. Finally, while payout effects remain robust for the sub-sample of poorer households below the poverty-trap threshold, statistically significant risk-management effects on reduced livestock sales disappear for them. Overall, our results suggest that insurance payouts can help the poor escape poverty traps, while the impact of behavioural changes accompanied by insurance purchases is more subtle in our settings.

Acknowledgements

This paper would not have been possible without the thorough and clean dataset provided by the Index Based Livestock Insurance (IBLI) for Northern Kenya’s Arid and Semi-arid Lands: The Marsabit Pilot. project supported by the International Livestock Research Institute (ILRI), Cornell University, the BASIS Research Program at the University of California, Davis, and Syracuse University, in collaboration with an evolving set of implementing partners (Equity Bank, UAP Insurance Company, APA Insurance Company, and Takaful Insurance of Africa). We thank Chris Barrett, Nathan Jensen, Daiji Kawaguchi, and Katsumi Shimotsu for their valuable comments on earlier version of the manuscript. All views expressed in this manuscript are those of the authors and not necessarily those of the supporting or cooperating institutions. The data and codes (Stata) for the analysis can be made available by the corresponding author upon request.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary Materials

Supplementary Materials are available for this article which can be accessed via the online version of this journal available at https://doi.org/10.1080/00220388.2020.1736281

Additional information

Funding

This work was supported by the generous funding of the UK Department for International Development (DfID); the Australian Department of Foreign Affairs and Trade and the Agriculture and Rural Development Sector of the European Union through DfID agreement No: 202619-101, DfID through FSD Trust [grant number SWD/Weather/43/2009]; the United States Agency for International Development [grant number EDH-A-00-06-0003-00]; the World Bank’s Trust Fund for Environmentally and Socially Sustainable Development [Grant No: 7156906]; the CGIAR Research Programs on Climate Change, Agriculture and Food Security and Dryland Systems.

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