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Drivers of Adoption Intensity of Certified Maize Seeds in Northern Guinea Savannah of Nigeria: A Triple Hurdle Model Approach

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  • Duniya, K.

Abstract

The study sought to identify the factors influencing adoption intensity of certified maize varieties. The data used were obtained from a sample household survey of 420 maize farmers, using structured questionnaire. A triple hurdle model was adopted to estimate the determinants of adoption; considering awareness, adoption and intensity as three separate stages of the adoption decision. The result showed that the drivers of farmers awareness, adoption and intensity of usage may not necessarily be the same, and where they are, not of the same magnitude and direction. However, age, education, membership of association and frequency of extension advice were found to be statistically significant. In addition, awareness and adoption were likely to be increased with household heads being males. It was also discovered that though some of the farmers were fully aware of the existence of some certified maize varieties, majority lacked detailed knowledge and technical know-how. There is need for creation of awareness through an excellent trained extension and restructuring of the educational sector to improve on the adoption process as well as improve maize productivity in the country. Keywords: awareness, adoption, regression, maize farmers, Nigeria Acknowledgement : Appreciation to the Business Innovation Facility (BIF) for sponsoring the research

Suggested Citation

  • Duniya, K., 2018. "Drivers of Adoption Intensity of Certified Maize Seeds in Northern Guinea Savannah of Nigeria: A Triple Hurdle Model Approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277539, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277539
    DOI: 10.22004/ag.econ.277539
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    1. Melinda Smale & Nicole Mason, 2014. "Hybrid Seed and the Economic Well-Being of Smallholder Maize Farmers in Zambia," Journal of Development Studies, Taylor & Francis Journals, vol. 50(5), pages 680-695, May.
    2. Smale, Melinda & Mason, Nicole M., 2013. "Hybrid Seed, Income, and Inequality among Smallholder Maize Farmers in Zambia," Food Security Collaborative Working Papers 146929, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    3. Benjamin Crost & Bhavani Shankar & Richard Bennett & Stephen Morse, 2007. "Bias from Farmer Self-Selection in Genetically Modified Crop Productivity Estimates: Evidence from Indian Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(1), pages 24-36, February.
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