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How might climate change influence farmers' demand for index-based insurance?

Author

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  • Antoine Leblois

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Tristan Le Cotty

    (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique, Cirad-ES - Département Environnements et Sociétés - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement)

  • Elodie Maître d'Hôtel

    (UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Cirad-ES - Département Environnements et Sociétés - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement)

Abstract

The low observed uptake of non-subsidised index-based insurance policies in developing countries has been puzzling researchers for about a decade. This paper analyses the role of drought frequency in farmers' demand for index-based insurance in developing countries. While it is typically assumed that an increase in exposure to risk would result in higher demand for index insurance, this paper finds the opposite: an increase in drought frequency may result in lower demand for index insurance under fairly standard conditions. In an expected utility model, we show that the demand for insurance is an inverted U function of drought frequency. We further show that downside basis risk decreases insurance demand under frequent drought conditions. It implies that insurance against similar but more frequent events cannot meet large demand from farmers. To check the empirical relevance of these effects, we conduct an insurance field experiment in Burkina Faso with 205 farmers. We analyse insurance demand for different drought frequencies, different levels of basis risks and different loading factors through incentivised lottery choices. This analysis confirms that for higher drought frequencies, insurance demand is lower. Insurance demand also decreases with basis risk and the loading factor.

Suggested Citation

  • Antoine Leblois & Tristan Le Cotty & Elodie Maître d'Hôtel, 2020. "How might climate change influence farmers' demand for index-based insurance?," Post-Print halshs-02863351, HAL.
  • Handle: RePEc:hal:journl:halshs-02863351
    DOI: 10.1016/j.ecolecon.2020.106716
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02863351v1
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    Cited by:

    1. Yu, Fangping & Xiang, Zhiyuan & Wang, Xuanhe & Yang, Mo & Kuang, Haibo, 2023. "An innovative tool for cost control under fragmented scenarios: The container freight index microinsurance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    2. Feng Kong, 2021. "How to Understand the Role of Insurance Mechanism in a Global Pandemic?," IJERPH, MDPI, vol. 18(13), pages 1-11, June.
    3. Will, Meike & Groeneveld, Jürgen & Lenel, Friederike & Frank, Karin & Müller, Birgit, 2023. "Determinants of Household Vulnerability in Networks with Formal Insurance and Informal Risk-Sharing," Ecological Economics, Elsevier, vol. 212(C).
    4. Sitong Yang & Shouwei Li & Xue Rui & Tianxiang Zhao, 2024. "The impact of climate risk on the asset side and liability side of the insurance industry: evidence from China," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-51, June.
    5. Azadeh Falsafian & Mohammad Ghahremanzadeh & Taravat Aref Eshghi & Vali Rasooli Sharabiani & Mariusz Szymanek & Agata Dziwulska-Hunek, 2024. "Producer Welfare Benefits of Rating Area Yield Crop Insurance," Agriculture, MDPI, vol. 14(9), pages 1-21, September.
    6. Mankaï, Selim & Marchand, Sébastien & Le, Ngoc Ha, 2024. "Valuing insurance against small probability risks: A meta-analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 109(C).
    7. Feng Kong & Shao Sun, 2021. "Better Understanding Insurance Mechanism in Dealing with Climate Change Risk, with Special Reference to China," IJERPH, MDPI, vol. 18(6), pages 1-14, March.

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    Keywords

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    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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