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Impact of climate change beliefs on farm households’ adaptation behaviors: the case of Ivory Coast
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Impact of climate change beliefs on farm households’ adaptation behaviors: the case of Ivory Coast

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  • Louise Ella Desquith

Abstract

This paper examines how climate beliefs influence the climate change adaptation decisions of Ivorian farmers. Two regions (Bouaké and Bonoua) were selected for data collection and 658 households were surveyed according to the level of exposure to climate shocks and the type of farming practiced. Using a multivariate probit model, we analyze the impact of climate beliefs on decisions to implement an adaptation strategy. Our results indicate that the impact of beliefs on adaptation decisions differs according to the region considered. In Bouaké, religious and traditional beliefs, and subjective predictions about temperature and rainfall trends are the determining factors in farmers' adaptation decisions. In the Bonoua locality, however, concerns about climate change and confidence in scientific studies on the worsening of CC determine farmers' adaptation decisions. Based on our results, we develop policy guidelines.

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  • Louise Ella Desquith, 2023. "Impact of climate change beliefs on farm households’ adaptation behaviors: the case of Ivory Coast," EconomiX Working Papers 2023-5, University of Paris Nanterre, EconomiX.
    • Handle: RePEc:drm:wpaper:2023-5
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    References listed on IDEAS

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    More about this item

    Keywords

    Climate change; beliefs; climate adaptation; behavior; multivariate Probit; farm households;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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