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Adoption of improved maize variety among farm households in the northern region of Ghana

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  • Gideon Danso-Abbeam
  • Joshua Antwi Bosiako
  • Dennis Sedem Ehiakpor
  • Franklin Nantui Mabe

Abstract

This study aims to identify the determinants of adoption of improved maize variety (IMV) among farmers in the northern region of Ghana and subsequently assess the factors influencing the intensity of IMV adoption. The study used two econometric techniques to address its objectives. Firstly, a multinomial logit was employed to identify factors affecting the adoption of IMV. Secondly, Tobit regression was used to analyze the determinants of the intensity of IMV adoption. A fractional regression model through the procedure proposed by Papke and Wooldridge was also used to test the robustness of the results obtained from the Tobit model. Results from the study revealed that variables such as the age of the household head, household size, level of experience, farm workshop attendance, the number of years in formal education, access to agricultural credit, membership of a farmer-based organization, availability of labor and extension contacts influence the adoption of IMV. Moreover, variables such as years in formal education, household size, distance to farm plots, attendance of demonstration fields, membership of a farmer-based organization, farm size, and previous income are significant determinants of the intensity of IMV adoption. The study has implications for achieving food security and poverty reduction through agricultural productivity growth.

Suggested Citation

  • Gideon Danso-Abbeam & Joshua Antwi Bosiako & Dennis Sedem Ehiakpor & Franklin Nantui Mabe, 2017. "Adoption of improved maize variety among farm households in the northern region of Ghana," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1416896-141, January.
    • Handle: RePEc:taf:oaefxx:v:5:y:2017:i:1:p:1416896
    DOI: 10.1080/23322039.2017.1416896
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    2. Baiyegunhi, L.J.S. & Hassan, M.B. & Danso-Abbeam, G. & Ortmann, G.F., 2019. "Diffusion and adoption of Integrated Striga Management (ISM) technologies among smallholder maize farmers in rural northern Nigeria," Technology in Society, Elsevier, vol. 56(C), pages 109-115.
    3. Akter, Shaheen & Gathala, Mahesh K. & Timsina, Jagadish & Islam, Saiful & Rahman, Mahbubur & Hassan, Mustafa Kamrul & Ghosh, Anup Kumar, 2021. "Adoption of conservation agriculture-based tillage practices in the rice-maize systems in Bangladesh," World Development Perspectives, Elsevier, vol. 21(C).
    4. Dokyi Emmanuel & Anang Benjamin Tetteh & Owusu Victor, 2021. "Impacts of Improved Seed Maize Technology Adoption on Productivity and Technical Efficiency in Northern Ghana," Open Economics, De Gruyter, vol. 4(1), pages 118-132, January.
    5. Dominic T. Konja, 2022. "Technology Adoption and Output Difference Among Groundnut Farmers in Northern Ghana," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(1), pages 303-320, February.
    6. Ehiakpor, Dennis Sedem & Danso-Abbeam, Gideon & Mubashiru, Yussif, 2021. "Adoption of interrelated sustainable agricultural practices among smallholder farmers in Ghana," Land Use Policy, Elsevier, vol. 101(C).
    7. Oladeji, J. O. & Neku, S. A. & Olaore, O. M. & Fapojuwo, O. E., 2022. "Determinants of Adoption of TME 419 Cassava Production Practices Among Farmers in Cross River State," Nigerian Journal of Rural Sociology, Rural Sociological Association of Nigeria, vol. 22(1), January.
    8. Gideon Danso-Abbeam & Lloyd J. S. Baiyegunhi & Mark D. Laing & Hussein Shimelis, 2021. "Food security impacts of smallholder farmers’ adoption of dual-purpose sweetpotato varieties in Rwanda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(3), pages 653-668, June.
    9. Maseko, Sulinkhundla, 2021. "The impact of climate-smart technology adoption on farmers’ welfare in Northern Zambia," Research Theses 334765, Collaborative Masters Program in Agricultural and Applied Economics.
    10. Ejovi Akpojevwe Abafe & Oluwaseun Samuel Oduniyi & Sibongile Sylvia Tekana, 2021. "Quantitative Analysis of Farmers Perception of the Constraints to Sunflower Production: A Transverse Study Approach Using Hierarchical Logistic Model (HLM)," Sustainability, MDPI, vol. 13(23), pages 1-18, December.
    11. Temitayo A. Adeyemo & Victor O. Okoruwa, 2018. "Value Addition and Productivity Differentials in the Nigerian Cassava System," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
    12. Lungu, Harad Chuma, 2019. "Determinants of climate smart agricultural technology adoption in the Northern Province of Zambia," Research Theses 334754, Collaborative Masters Program in Agricultural and Applied Economics.

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