Factors influencing improved Maize Farming Technologies adoption in Yendi Municipality of Northern Region of Ghana
Keywords:
Adoption, Technology, Maize, Farmers
Abstract
Low technology adoption continues to affect the production of maize in Ghana, including the Yendi municipality, which is one of the high maize producing areas. The study examined the factors influencing the adoption of improved maize farming technologies in the Yendi municipality. Data was collected from 154 randomly selected maize farmers using questionnaires and in-depth interviews. Descriptive statistics and Poisson Regression Model were used to analyze the demographic characteristics of maize farmers as well as the socioeconomic factors influencing the adoption of improved maize farming technologies. The study revealed that 59% of the maize farmers had no contact with agricultural extension agents, which could negatively affect adoption of improved maize farming technologies. The Poisson regression analysis showed that education, farm size, credit and extension contact significantly influenced the adoption of improved maize farming technologies in the area. Maize farmers therefore need to be adequately trained on the technologies to understand their full benefits to enable them adopt them fully. The study recommends that Ministry of Food and Agriculture (MoFA) together with Development Partners (DPs) should facilitate farmers’ access to credit and provide more logistics to facilitate access to extension services.
References
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Nkonya, E., Schroeder, T. and Norman, D. (1997). Factors affecting adoption of improved maize seed and fertilizer in Northern Tanzania. Journal of Agricultural Economics, 48(1-3): 1-12.
Opara, U. N. (2008). Agricultural information sources used by farmers in Imo state, Nigeria information development. SAGE Publications, 24(4).
Oyekale, A. S. and Idjesa, I. (2009). Adoption of improved maize seeds and production efficiency in Rivers State, Nigeria. Academic Journal of Plant Sciences 2 (1): 44-50.
Pattanayak, S. K., Mercer, D. E., Sills, E. and Yang, J. C. (2003).Taking stock of agroforestry adoption studies. Agroforestry Systems, 57: 173–186.
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Singh, A., Vasisht, A. K., Kumar, R. and Das, D. K. (2008). Adoption of integrated pest management practices in paddy and cotton: a case study in Haryana and Punjab. Agricultural Economics Research Review, Vol. 21.
Singh, D. K., Singh, B. k., Yadav, V. P. S. and Singh, L., (2010). Adoption behaviour of commercial vegetable growers in District Ghaziabad (UP).Indian Res. J. Ext. Edu. 10 (3),
Sulo, T., Koech, P. Chumo, C. and Chepng’eno, W. (2012). Socioeconomic factors affecting the adoption of improved agricultural technologies among women in Marakwet County Kenya. Journal of Emerging Trends in Economics and Management Sciences (JETEMS), 3(4): 312-317.
Tahirou, A., Sanogo, D., Langyintuo, A., Bamire, S. A. and Olanrewaju, A. (2009). Assessing the constraints affecting production and deployment of maize seed in DTMA countries of West Africa. IITA, Ibadan, Nigeria.40 pp.
World Bank (2007). World development report 2008: Agriculture for development. The World Bank, Washington, DC.
Ani, A. O. (1998). Assessment of Farmers’ Extension Education Needs in Yobe State, Nigeria. Nigerian Journal of Agricultural Education, 1: 152-158.
Asfaw, S., Shiferaw, B., Simtowe, F. and Lipper, L. (2012). Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia. Food Policy, 37(3): 283-295.
Bonabana-Wabbi, J. (2002). Assessing factors affecting adoption of agricultural technologies: The case of integrated pest management (IPM) in Kumi Districts. M.Sc Thesis, Virginia Polytechnic Institute and State University, Eastern Uganda.
Cameron, A. C. and Trivedi, P. K. (1990). Regression-based tests for over dispersion in the Poisson model. Journal of Econometrics, 46(3): 347-364.
Codjoe S. N. A (2007).Supply and utilisation of food crops in Ghana, 1960-2000.African Journal of Food, Agriculture, Nutrition and Development, 7(2): 1-15.
Croson, R. and Gneezy, U. (2008).Gender differences in preferences. Journal of Economic Literature, 47: 1–27.
D'Antoni, J. M., Mishra, A. K. and Hyunjeong, J. (2012). Farmers' perception of precision technology: the case of auto steer adoption by cotton farmers. Comp Elect Agric., 87: 121-128.
Doss, C. (2001). “Designing Agricultural Technology for African Women Farmers: Lessons from 25 Years of Experience”. World Development, 29(12):2075-2092.
FAOSTAT. (2015). Food and Agriculture Organization Statistics Data Base. Retrieved from htt://faostat3.fao.org/home/index.html
Fisher, M., et al. (2015). Drought tolerant maize for farmer adaptation to drought in sub- Saharan Africa: Determinants of adoption in eastern and southern Africa. Climatic Change (DOI 10.1007/s10584-015-1459-2).
Food and Agriculture Organization. (2013). Information and communication technologies for sustainable agriculture. Retrieved on 25 February, 2014fromhttp://www.fao.org/docrep/019/i3557e/i3557e.pdf.
Gbegeh, B. D. and Akubuilo, C. J. C. (2013). Socioeconomic determinants of adoption of yam minisett by farmers in Rivers state, Nigeria. Wudpecker Journal of Agricultural Research, 2(1): 033–038.
Ghana Statistical Service, (2010). Analytical report of 2010 population and housing census Accra: Ghana Statistical Service.
Ghana Statistical Service, (2014).2010 population and housing census Accra: Ghana Statistical Service. District Analytical Report. Yendi Municipality.
Ghana Statistical Service, (2012). Population and Housing Census: Summary Report of Final Results Accra: Ghana Statistical Service.
Ghana Statistical Service, (2014). Population and Housing Census Accra: Ghana Statistical Service. District Analytical Report. Yendi Municipality.
Greene, W. H. (2003). Econometric analysis. Pearson Education India.
Gurney, A. L., Slate, J., Press, M. C. and Scholes, J. D. (2006). A novel form of resistance in rice to the angiosperm parasite Striga hermonthica. New. Phytol. 169: 199-208.
Hudson, D. and Hite, D. (2003). Willingness to pay for water quality improvements: the case of precision application technology. Journal of Agricultural Resource Economics, 27: 433–449.
Imoru J. A. and Ayamba, M. (2015). Fertiliser subsidy effects on fertiliser use in northern region of Ghana. Africa journal of Agricultural research, 10(53), 4926-4936, Chicago
Kaguongo, W., Ortmann, G., Wale, E., Darroch, M. and Low, J. (2012). Factors influencing adoption and intensity of adoption of orange flesh sweet potato varieties: Evidence from an extension intervention in Nyanza and Western Provinces, Kenya. African Journal of Agricultural Research, 7(3): 493-503.
Kakwani, N. (2005). Pro-poor growth. UNU/WIDER Conference on Development Economics, Helsinki, mimeo.
Kariyasa, K. and Dewi, A. (2011). Analysis of factors affecting adoption of integrated crop management farmer field school (Icm-Ffs) in Swampy Areas. International Journal of Food and Agricultural Economics, 1(2): 29-38.
Kassie, M., Shiferaw, B., & Murich., G. (2011) Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda, World Development 39 (10): 17841795
Kayode, A. and Adekoya, A. E. (2013). Determinants of rice farmers’ technology utilization in Ekitti and Ogun States, Nigeria: Implication for achieving sustainable increase in rice production as well as food security. New York Science Journal, 6(9).
Lawal, B.O., Saka, J. O., Oyegbami, A. and Akintayo, I. O. (2004).Adoption and performance assessment of improved maize varieties among smallholder farmers in Southwest Nigeria.J. Agril. Food Inform. 6(1): 35-47.
Meinzen-Dick, R., Adato, M., Haddad, L. and Hazell, P. (2004).Science and poverty: an interdisciplinary assessment of the impact of agricultural research.
Meinzen-Dick, R., Knox, A., Place, F. and Swallow, B. (2002).Innovation in natural resources management: the role of property rights and collective action in developing countries.
Mignouna, B., Manyong, M., Rusike, J., Mutabazi, S. and Senkondo, M. (2011). Determinants of adopting imazapyr-resistant maize technology and its impact on household income in Western Kenya: AgBioforum, 14(3): 158-163.
MOFA (Ministry of Food and Agriculture) (2009). Statistics, research and information directorate.
MOFA (Ministry of Food and Agriculture) (2009). Statistics, research and information directorate.
MOFA (Ministry of Food and Agriculture), (2011). Agriculture in Ghana: facts and figures (2010). Statistics, Research, and Information Directorate. Accra, Ghana.
Nkonya, E., Schroeder, T. and Norman, D. (1997). Factors affecting adoption of improved maize seed and fertilizer in Northern Tanzania. Journal of Agricultural Economics, 48(1-3): 1-12.
Opara, U. N. (2008). Agricultural information sources used by farmers in Imo state, Nigeria information development. SAGE Publications, 24(4).
Oyekale, A. S. and Idjesa, I. (2009). Adoption of improved maize seeds and production efficiency in Rivers State, Nigeria. Academic Journal of Plant Sciences 2 (1): 44-50.
Pattanayak, S. K., Mercer, D. E., Sills, E. and Yang, J. C. (2003).Taking stock of agroforestry adoption studies. Agroforestry Systems, 57: 173–186.
Peterman, A., Behrman, J. and Quisumbing, A. (2010). A review of empirical evidence on gender differences in non-land agricultural inputs, technology, and services in developing countries. IFPRI Discussion Paper 00975. Press, Uk. 498pp.
Singh, A., Vasisht, A. K., Kumar, R. and Das, D. K. (2008). Adoption of integrated pest management practices in paddy and cotton: a case study in Haryana and Punjab. Agricultural Economics Research Review, Vol. 21.
Singh, D. K., Singh, B. k., Yadav, V. P. S. and Singh, L., (2010). Adoption behaviour of commercial vegetable growers in District Ghaziabad (UP).Indian Res. J. Ext. Edu. 10 (3),
Sulo, T., Koech, P. Chumo, C. and Chepng’eno, W. (2012). Socioeconomic factors affecting the adoption of improved agricultural technologies among women in Marakwet County Kenya. Journal of Emerging Trends in Economics and Management Sciences (JETEMS), 3(4): 312-317.
Tahirou, A., Sanogo, D., Langyintuo, A., Bamire, S. A. and Olanrewaju, A. (2009). Assessing the constraints affecting production and deployment of maize seed in DTMA countries of West Africa. IITA, Ibadan, Nigeria.40 pp.
World Bank (2007). World development report 2008: Agriculture for development. The World Bank, Washington, DC.
Published
2019-07-03
How to Cite
Mohammed, G., Adam, H., & Duniya, K. (2019, July 3). Factors influencing improved Maize Farming Technologies adoption in Yendi Municipality of Northern Region of Ghana. International Journal of Irrigation and Agricultural Development (IJIRAD), 3(1). https://doi.org/https://doi.org/10.47762/2019.964x.58
Section
Agricultural Science and Development
