Volume 2, Issue 5, September 2017, Page: 149-153
Adoption of Improved Technologies in Maize-based Cropping Systems on Income of Farmers in Ondo State, Nigeria
Owoeye R. S., Department of Agricultural Economics and Extension Services, Ekiti State University, Ado-Ekiti, Nigeria
Received: Mar. 10, 2017;       Accepted: Apr. 7, 2017;       Published: Oct. 4, 2017
DOI: 10.11648/j.ijae.20170205.12      View  2315      Downloads  193
This study examined the effect of adoption of improved technologies in maize-based cropping systems on income of farmers in Ondo state, Nigeria. It specifically identified the socio-economic characteristics, determine the intensity of adoption of improved technologies introduced to maize-based farmers and examine the effect of adoption of improved technologies introduced to maize-based farmers on their income in the study area. Multi-stage sampling technique was used to obtain data from 160 maize-based farmers that were selected from 3 Local Government Areas in Ondo State. Descriptive Statistical Analysis, Budgetary Technique Analysis and Tobit Regression Analysis were used to analyze the data. Results on socio-economic characteristics disclosed that most (59.82 percent) of the respondents were relatively old (more than 50 years) with the mean age of 54.76 years. Also, 50.63 percent of the respondents had between 5 and 8 members in their households. It was revealed that only 29.62 percent of the respondents had secondary education and above. The farmers were well experienced with 65 percent of them having more than 20 years of farming experience and 73.75 percent of them had less than 2 hectares of land as farm size. The result of profitability analysis shows that the total revenue, gross margin and net farm income for the improved technology adopters are N750,450, N573,130 and N52,1940 respectively. On the other hand, the total revenue, gross margin and net farm income for the non-adopters of improved technology are N320,140, N244,180and N 227,830 respectively, implying that improved technology adopters performed way better than non-adopters in terms of total revenue, gross margin and total cost. The determinants of intensity of adoption of improved technologies in the study area as shown by Tobit regression estimate revealed that age, extension access, farming experience, marital status, household size, farm size and educational level were statistically significant, implying that they are the important variables found to greatly influence the intensity of adoption of improved technologies by maize-based farmers in Ondo state. It is therefore recommended that policy option requires the traditional technology users to embrace the improved agricultural technologies in order to increase their earning per unit of land cultivated should be introduced.
Adoption, Improved Technology, Maize-based Production, Budgetary Technique and Tobit Regression Analysis
To cite this article
Owoeye R. S., Adoption of Improved Technologies in Maize-based Cropping Systems on Income of Farmers in Ondo State, Nigeria, International Journal of Agricultural Economics. Vol. 2, No. 5, 2017, pp. 149-153. doi: 10.11648/j.ijae.20170205.12
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abdullahi, A. (2003). “Employment creation and opportunities in the agro-allied sub-sector: The case of cassava production.” CBN Bullion Publication, 27(4): 10.
Encyclopaedia Britannica (2013). Ondo (State, Nigeria)-Britannica Online Encyclopaedia.www.britannica.com/EBchecked/.../ondo.
Directorate Agricultural Information Service in Cooperation with ARCGrain Crop Institute (2003).
FAO (2007). Maize in Human Nutrition, Food and Agricultural Organization, Rome, Italy.
FAOSTAT (2007). Food Security Statistics.
Food and Agricultural Organization (2006): Rapid Growth of Selected Asian Countries.
Kolawale O and Ojo S. O (2007), Economic efficiency of small scale food crop production in Nigeria. J. For Soc. Sci., 14(2): 123-130.
Kudi, T. M., Bolaji, M., Akinola M. O. and Nasa’I D. H. (2011). “Analysis of adoption ofimproved maize varieties among farmers in Kwara State, Nigeria”, International Journal of Peace and Development Studies Vol. 1(3), pp. 8-12, January 2011.
National Agricultural Research Project (NARP). (1994). National Agricultural Research Strategy Plan for Nigeria (North–West Zone): Draft Report.
National Bureau of Statistics/Central Bank of Nigeria (NBS/CBN) (2006), Socio-Economic survey on Nigeria, NBS, Abuja.
Onuk E. G., Ogara I. M, Yahaya H and Nannim N (2010). ‘‘Economic Analysis of Maize Production in Mangu Local Government Area of Plateau State, Nigeria.” PAT June, 2010; 6 (1): 1-11 ISSN: 0794-5213.
Usman N. E (2006). “Agriculture: Vital to Nigerian Economic Development.” Paper presented at the forum of Economic Stakeholders on “Growing the Nigeria Economy” 2006. This day News Paper, July 25, 2006.
Wikipedia (2006): Corn Maize Wikipedia - The free encyclopedia. www.wikipedia.org/maize access on the 16th December, 2006.
Awotide B. A, Diagne A. and Omonoma B. T. (2012). Impact of Improved Agricultural Technology Adoption on sustainable rice productivity and rural farmers’ welfare in Nigeria: A local average treatment effect (LATE) Technique, Paper presented at the African Economic Conference, Kigali, Rwanda, 23pp.
Taha Mume, 2007. Determinants of the adoption of improved onion production package in Dugda Bora district, East Shoa, Ethiopia. M.Sc. Thesis (Unpublished) Presented To School of Graduate Studies of Haramaya University.
Browse journals by subject