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Investing in agrochemicals in the cocoa sector of Côte d’Ivoire: Hypotheses, evidence and policy implications

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  • Nkamleu, Guy Blaise
  • Keho, Yaya
  • Gockowski, James
  • David, Soniia

Abstract

This paper presents empirical evidence to show how socioeconomic factors affect the adoption of and investment in agrochemicals in the cocoa sector of Côte d’Ivoire. The analysis uses primary farm-level data collected in 2002 from a nationally representative sample of more than one thousand cocoa farmers. The study describes the status of the adoption of various chemical inputs and uses a multiplicative heteroscedastic Tobit model to identify and quantify the impact of the socioeconomic environment on the incentive to invest. The results generally show that farmer, household and village characteristics are all important in explaining the farmers’ decisions. The paper concludes by outlining a number of implications for strategic targeting of farmers and locations. These should serve as entry points for a successful diffusion of efficient pest, disease and soil management programs.

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  • Nkamleu, Guy Blaise & Keho, Yaya & Gockowski, James & David, Soniia, 2007. "Investing in agrochemicals in the cocoa sector of Côte d’Ivoire: Hypotheses, evidence and policy implications," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 1(2), pages 1-22, September.
    • Handle: RePEc:ags:afjare:57015
    DOI: 10.22004/ag.econ.57015
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    Cited by:

    1. Gideon Danso-Abbeam & Edinam Dope Setsoafia & Isaac Gershon Kodwo Ansah, 2014. "Modelling Farmers Investment in Agrochemicals: The Experience of Smallholder Cocoa Farmers in Ghana," Research in Applied Economics, Macrothink Institute, vol. 6(4), pages 1-16, December.
    2. Danso-Abbeam, Gideon & Baiyegunhi, Lloyd J.S., 2018. "Welfare impact of pesticides management practices among smallholder cocoa farmers in Ghana," Technology in Society, Elsevier, vol. 54(C), pages 10-19.

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    More about this item

    Keywords

    Crop Production/Industries;

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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