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Examining the economic impacts of integrated pest management among vegetable farmers in Southern Ghana

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  • Victor Owusu
  • Awudu Abdulai

Abstract

This study analyzes the adoption of integrated pest management (IPM) strategies and the impact of adoption on yields and farm net returns of vegetable farmers in Southern Ghana. We employ a two-step multinomial logit model to account for selection bias that occurs when unobservable factors influence adoption of IPM and impacts on outcomes. The empirical results show that the number of years of schooling and extension contacts of farmers adopting pesticides application only have positive effects on yields, whereas credit constraints and farm size exert negative effects. Farmers adopting pest monitoring only and employing more hired labor are associated with lower yields, whereas farmer-based organizations and lettuce cultivation are associated with higher yields. Increasing the number of years of schooling of farmers adopting pesticides application only tends to increase farm net returns. Farmers with unobserved characteristics linked to lowering yields or farm net returns tend to shift to an alternative IPM component.

Suggested Citation

  • Victor Owusu & Awudu Abdulai, 2019. "Examining the economic impacts of integrated pest management among vegetable farmers in Southern Ghana," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 62(11), pages 1886-1907, September.
    • Handle: RePEc:taf:jenpmg:v:62:y:2019:i:11:p:1886-1907
    DOI: 10.1080/09640568.2018.1517085
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    Citations

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    Cited by:

    1. Ke Liu & Zhenhong Qi & Li Tan & Caiyan Yang & Canwei Hu, 2023. "Mixed Use of Chemical Pesticides and Biopesticides among Rice–Crayfish Integrated System Farmers in China: A Multivariate Probit Approach," Agriculture, MDPI, vol. 13(8), pages 1-17, August.
    2. Sulav Paudel & Lalit P. Sah & Mukti Devkota & Vijaya Poudyal & P.V. Vara Prasad & Manuel R. Reyes, 2020. "Conservation Agriculture and Integrated Pest Management Practices Improve Yield and Income while Reducing Labor, Pests, Diseases and Chemical Pesticide Use in Smallholder Vegetable Farms in Nepal," Sustainability, MDPI, vol. 12(16), pages 1-16, August.
    3. Dandan Zhao & Hong Zhou, 2021. "Livelihoods, Technological Constraints, and Low-Carbon Agricultural Technology Preferences of Farmers: Analytical Frameworks of Technology Adoption and Farmer Livelihoods," IJERPH, MDPI, vol. 18(24), pages 1-19, December.
    4. Zhao Ding & Awudu Abdulai, 2020. "An Analysis of the Factors Influencing Choice of Microcredit Sources and Impact of Participation on Household Income," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(4), pages 505-525, May.
    5. Boansi, David & Owusu, Victor & Tambo, Justice Akpene & Donkor, Emmanuel & Asante, Bright Owusu, 2021. "Rainfall shocks and household welfare: Evidence from northern Ghana," Agricultural Systems, Elsevier, vol. 194(C).
    6. Denise Hörner & Meike Wollni, 2022. "Does integrated soil fertility management increase returns to land and labor?: Plot‐level evidence from Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 337-355, May.

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