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Factors Affecting Farmers’ Crop Insurance Participation in China

Author

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  • Ming Wang
  • Tao Ye
  • Peijun Shi

Abstract

type="main" xml:lang="fr"> Le tout dernier programme d'assurance récolte de la Chine, lancé en 2007, offre une excellente occasion d'examiner les facteurs qui influencent les décisions des agriculteurs de souscrire ou non une assurance récolte ainsi que le processus de prise de décisions lors de la mise en place initiale du programme dans les collectivités rurales. Dans le cadre de la présente étude, un sondage a été effectué auprès des ménages du village de Kuangjiaqiao, situé dans la province du Hunan, en Chine, au cours d'une période de quatre ans, soit de 2007 à 2010. À l'aide de modèles de régression élémentaires pour effectuer l'analyse en coupe et de modèles avancés pour tenir compte des effets retardateurs, nous avons déterminé les facteurs dominants qui influent sur les décisions des agriculteurs concernant l'assurance récolte. Selon les résultats de notre étude, les agriculteurs ont développé un processus d'adaptation dynamique envers le nouveau programme d'assurance récolte. Au début, les décisions étaient plutôt arbitraires et influencées par l'insistance ou la pression de la collectivité pour être conforme. Ensuite, les agriculteurs ont progressivement établi des mécanismes de prise de décisions plus rationnels où la volatilité des rendements, l’éducation et l'expérience en matière d'engagement sont devenues des facteurs statistiquement significatifs. L'analyse des étapes initiales du programme d'assurance récolte a permis de mieux comprendre la demande au sein du marché chinois en constante évolution.

Suggested Citation

  • Ming Wang & Tao Ye & Peijun Shi, 2016. "Factors Affecting Farmers’ Crop Insurance Participation in China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 479-492, September.
  • Handle: RePEc:bla:canjag:v:64:y:2016:i:3:p:479-492
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    References listed on IDEAS

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    Cited by:

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    2. Elzaki, Raga M. & Elrasheed, Mutasim.M.M. & Elmulthum, Nagat A., 2022. "Optimal crop combination under soaring oil and energy prices in the kingdom of Saudi Arabia," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    3. Hui Mao & Shaojian Chen & RuiYao Ying & Yong Fu, 2023. "How crop insurance influences agrochemical input use: Evidence from cotton farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 224-244, April.
    4. Matthew Stuart & Cindy Yu & David A. Hennessy, 2023. "The Impact of Stocks on Correlations of Crop Yields and Prices and on Revenue Insurance Premiums using Semiparametric Quantile Regression," Papers 2308.11805, arXiv.org.
    5. Md Monjurul Islam & Tofael Ahamed & Ryozo Noguchi, 2018. "Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production," Sustainability, MDPI, vol. 10(6), pages 1-28, May.
    6. Feng, Shuaizhang & Han, Yujie & Qiu, Huanguang, 2021. "Does crop insurance reduce pesticide usage? Evidence from China," China Economic Review, Elsevier, vol. 69(C).

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