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Determinants of the adoption of improved varieties of Maize in Cameroon: case of cms 8704

Author

Listed:
  • Ntsama Etoundi, S. Mireille
  • Kamgnia Dia, Bernadette

Abstract

A cereal in full expansion, maize is currently eaten by two out of every three Cameroonians. The NCRE (National Cereals Research and Extension) project introduced and distributed new improved varieties to increase maize output. The objective of this research is to study determinants guiding the adoption of new varieties of maize following the example of “Cameroon Maize Series (CMS)” 8704. In relation thereto, a Probit model adapted to membership of a smallholders’ cooperative was used. The study was conducted on 100 farms in Cameroon’s Centre Region. The results show that the zone, the level of education, belonging to a smallholders’ cooperative and market orientation positively affect the probability of adopting improved maize varieties. The age, area, gender and risk seem to have no effect on the adoption of such varieties.

Suggested Citation

  • Ntsama Etoundi, S. Mireille & Kamgnia Dia, Bernadette, 2008. "Determinants of the adoption of improved varieties of Maize in Cameroon: case of cms 8704," MPRA Paper 37783, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:37783
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    References listed on IDEAS

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    1. B. L. Gardner & G. C. Rausser (ed.), 2001. "Handbook of Agricultural Economics," Handbook of Agricultural Economics, Elsevier, edition 1, volume 1, number 2.
    2. B. L. Gardner & G. C. Rausser (ed.), 2001. "Handbook of Agricultural Economics," Handbook of Agricultural Economics, Elsevier, edition 1, volume 1, number 1.
    3. Nkamleu, Guy-Blaise & Coulibaly, Ousmane, 2000. "Le choix des methodes de lutte contre les pestes dans les plantations de cacao et de cafe au Cameroun," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 259.
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    1. Mgendi, By George & Mao, Shiping & Qiao, Fangbin, 2022. "Does agricultural training and demonstration matter in technology adoption? The empirical evidence from small rice farmers in Tanzania," Technology in Society, Elsevier, vol. 70(C).
    2. Aminata Diagne & Lota Tamini & Patrick Mundler, 2019. "Factors Explaining the Dynamics of Agricultural Technology Adoption: Evidence from Senegal's Rain Maize Farmers," CIRANO Working Papers 2019s-08, CIRANO.
    3. Pérez-Marulanda, Lisset & Jepsen, Martin Rudbeck & Castro-Nunez, Augusto, 2025. "Boosting the adoption of sustainable land-use systems for achieving Colombian land-based climate action and peacebuilding goals," World Development, Elsevier, vol. 188(C).

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    Keywords

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    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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