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Factors Influencing Adoption Decisions Of Maize Farmers In Nigeria

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  • Fadare, Olusegun Ayodeji
  • Akerele, Dare
  • Toritseju, Begho

Abstract

The needs to develop improved varieties of maize have been in the heart of various researchers and institutions in Nigeria because of its strategic role in tackling food insecurity and poverty. Despite substantial efforts to improve maize varieties, the level of adoption of improved maize varieties (IMV) in Nigeria in still very low. Although previous adoption studies have indicated a number of socioeconomic and institutional/organizational variables as important factors influencing adoption of improved maize (crop) varieties in the country, whether these factors are the main issues of concern, and whether the inclusion of regional/agro-ecological variables in adoption model are also important in explaining what could drive farmers’ adoption behaviour requires investigation. This study therefore examined factors influencing adoption of IMV among farmers in Nigeria using a selected portion of the Nigeria Living Standard Measurement Survey data collected by the National Bureau of Statistics and the World Bank for 2010/2011 cropping season with descriptive statistics and probit model as tools for data analysis. The results suggest, in line with some previous studies, that farm size, education level of farmers and access to extension services would significantly influence adoption of IMV. The results also indicate that farmers across the entire agro-ecological regions of country share some negative sentiments regarding adoption of IMV. Renewed emphasis on interventions that would enable farmers gain more access to farmland, and promote formal education and extension service are advocated. An attempt to incorporate variables that capture farmers’ perception/experience on agro-climatic/ ecologically related concerns in adoption study could aid better understand of what drives farmers’ adoption decisions across the country especially in the light of the emerging climate change issues and its implication on food production.

Suggested Citation

  • Fadare, Olusegun Ayodeji & Akerele, Dare & Toritseju, Begho, 2014. "Factors Influencing Adoption Decisions Of Maize Farmers In Nigeria," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(3), pages 1-10, July.
    • Handle: RePEc:ags:ijfaec:186266
    DOI: 10.22004/ag.econ.186266
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    2. 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.
    3. Luong Tinh & Phan Tran Minh Hung & Doan Gia Dzung & Vo Hoang Diem Trinh, 2019. "Determinants of farmers intention` of applying new technology in production: The case of VietGAP standard adoption in Vietnam," Asian Journal of Agriculture and rural Development, Asian Economic and Social Society, vol. 9(2), pages 164-148, December.
    4. Maseko, Sulinkhundla & Karuaihe, Selma T. & Jourdain, Damien, 2023. "Impact of the adoption of residue retention on household maize yield in northern Zambia," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 18(1), May.
    5. Senakpon, Kokoye, 2017. "Farmers’ Willingness To Pay For Soil Testing Service In Northern Haiti," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252804, Southern Agricultural Economics Association.
    6. OBAYELU, Abiodun Elijah & MONCHO, Cocou Muriel Dorian & DIAI, Chukwunoso Christopher, 2016. "Technical Efficiency Of Production Of Quality Protein Maize Between Adopters And Non-Adopters, And The Determinants In Oyo State, Nigeria," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(2), pages 1-10, October.
    7. Zengwei Xu & Jing Li & Jiliang Ma, 2022. "Impacts of Extension Contact on the Adoption of Formulated Fertilizers and Farm Performance among Large-Scale Farms in Rural China," Land, MDPI, vol. 11(11), pages 1-19, November.
    8. Sardorbek Musayev & Jonathan Mellor & Tara Walsh & Emmanouil Anagnostou, 2022. "Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia," Forecasting, MDPI, vol. 4(1), pages 1-22, March.

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