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IJSTR >> Volume 6 - Issue 2, February 2017 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Relationship Between Level Of Education Of Farmers And Use Of Information And Communication Technologies In Marketing Of Farm Produce By Small Scale Farmers In Manga Sub-County, Kenya

[Full Text]



Morwani, D.N., Ombati, J.M., Ngesa, F.U.



Information and Communication Technologies (ICTs), Marketing, Education, Small Scale Farmers, Relationship



Limited access to accurate and timely market information continues to be a major impediment in the marketing of farm produce by farmers in Africa and in Kenya, especially in Manga Sub-County, Nyamira County. This limited access to market information has led to high cost of transaction and emergence of middlemen. Information and Communication Technologies (ICTs) have the potential to assist in addressing this problem by creating awareness, linking and distributing information on marketing. It is evident that farmers in Kenya have focused their attention in acquisition of ICT resources because of widespread coverage of mobile telephony, low call rates, affordable data bundles, increasing internet connectivity and other forms of ICT applications for example the M-pesa services with little application in marketing. This study aimed to determine the relationship between level of education of farmers and use of ICTs in marketing of farm produce by small scale farmers in Manga Sub-County in Nyamira County, Kenya. Descriptive research design was adopted in the study. The target population of the study was 11,040 commercial farmers in Manga Sub-County from which a sample size of 109 small scale farmers was selected using stratified random sampling technique. A questionnaire administered to farmers in the Sub-County was used to collect data. Validity of the instrument was enhanced by subjecting the instrument to examination by three experts in the Department of Agricultural Education and Extension of Egerton University. Analysis of piloting results using Cronbach’s coefficient alpha method yielded a reliability index of 0.896 indicating the instrument was reliable. The collected data were analyzed using both descriptive and inferential statistics. The descriptive statistics used were the frequency and percentages. Pearson’s correlation coefficient analysis was used to test the hypotheses. Statistical Package for Social Sciences was used in data analysis. The hypothesis was tested at a significance level of 0.05. Findings of the study identified that high level of education of farmers significantly influenced the use of ICTs in marketing farm produce by small-scale farmers in Manga Sub-County. This study recommends improvement in level of education of farmers, in order to improve the farmers’ use of ICTs in marketing of farm produce in the study area.



[1] Aker, J. C. (2011). Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics, 42 (6), 631-647.

[2] Aker, J.C. (2008). Does digital divide or provide? The impact of cell phones on grain markets in Niger. Job Market Paper, Berkeley.
[3] Alonge, J.A. (2005). Beyond technology determinism, Applying technology triangle model to assess the integration of technology by Florida’s’ secondary Agric-Science Teachers. Proceedings of the 21st Century Association of American Agricultural Educators Annual conference, San Antonio, Tx.

[4] Ashraf, N., Gine, X. and Karlan, D. (2006). Finding missing markets (and a disturbing epilogue): Evidence from an export crop adoption and marketing intervention in Kenya, Nairobi.

[5] Barrett, C. (2008). Small scale market participation: Concepts and evidence from eastern and southern Africa. Food Policy, 34, 299-317.

[6] Bartholomew, A., Wainwright, D. and Green, G. (2009). Policy Issues of e-Commerce Technology Diffusion in Southeast Nigeria. Case of Small Scale Agribusiness 2 (1): 39-48

[7] Chowdhury, S.K. (2006). Investments in ICT-capital and economic performance of small and medium scale enterprises in East Africa. Journal of International Development, 18, 533-552.

[8] Communication Authority of Kenya (2016). Mobile Penetration in Kenya: Quarterly Sector Statistics Report (2016). Retrieved from www.ca.go.ke/index.php/what-we.../366-kenya-s-mobile-penetration-hits-88-per-cent.

[9] Fafchamps, M. and Gabre, M.E. (2006). Agricultural markets in Benin and Malawi. African Journal of Agricultural and Resource Economics, 1: 67 – 94.

[10] Fafchamps, M. and Hill, R.V. (2005). Selling at the farm gate or traveling to the market. American Journal of Agricultural Economics, 8 7 (3), 717-734.

[11] FAO (2010). “Climate-Smart” Agriculture Policies, Practices and Financing for Food Security, Adaptation and Mitigation. Food and Agriculture Organization of the United Nations (FAO). Rome, Italy.

[12] Farrell, G. (2007). Survey of ICT and Education in Africa. Information Development, Uganda

[13] Government of Kenya (2010). Agricultural Sector Development Strategy 2010 – 2020. Government Printer, Nairobi, Kenya.

[14] Hussein, M.S. and Safa, L. (2009). Factors affecting use of information and communication technologies (ICTs) by Iranian agricultural faculty members. World of Applied Science Journal, 6 (8), 212-250

[15] Huyer, S. and Sikoska, T. (2003). ‘Overcoming the Gender Digital Divide: Understanding the ICTs and their potential for the Empowerment of Women. In straw Research Paper Series No. 1”, Retrieved from http www.uninstraw.org/en/research/gender and ict/virtual seminars

[16] Kimaru, P. K., Nafula, N.N., Manda, D.K., Bedi, A.S. Mwabu, G. and Kimenyi, M.S. (2001). Education Indicators in Kenya. KIPPRA Working Paper No. 4. Nairobi: Kenya Institute for Public Policy Research and Analysis.

[17] Kiveu, M. and Ofafa, G. (2013). Enhancing market access in Kenyan SMEs using ICT. Global Business and Economics Research Journal, 2(9): 29-46.

[18] Mangesi, K. (2010). A comparative study of approaches to ICT policy formulation and implementation in Ghana and South Africa. Unpublished M.Sc Thesis, Natal: University of Kwa-Zulu.

[19] Nassiuma, D.K., (2000). Survey sampling: Theory and methods. Nairobi: University of Nairobi.

[20] Orodho, A.J. (2005). Statistics Made User Friendly for Education and Social science Research. Masola Publishers.

[21] Patrick O.A. and Rosemary, A. (2006). Agricultural Policy in Kenya: Issues and Processes. A paper for the Future Agricultures Consortium workshop, Institute of Development Studies, 20-22 March 2006

[22] Poulton, C., Kydd, J. and Doward, A. (2006). Overcoming market constraints on pro-poor agricultural growth in sub-Saharan Africa. Development Policy Review, 24 (3), 243-277.Presentation at the University of Illinois at Urbana-Champaign. Retrieved from http://lightning.itcs.uiuc.edu/india2007/ grahame_dixie.html

[23] Rathgeber, E.M & Adera, E.O (2000). Gender and the Information revolution in Africa.

[24] Shepherd, W. (2007). Approaches to linking producers to markets: A review of experience to date. Agricultural Management, Marketing and Financial Occasional paper 13, FAO, United Nations, and Rome.

[25] Shiferaw, B, Obare, G. and Muricho, G. (2007). Rural market imperfections and the role of institutions of collective action to improve markets for the poor. Natural Resources Forum, 32 (1), 25-38