Farmers’ Information Literacy and Productivity Performance of Smallholder Horticulture in a Highland Zone, Kenya
Journal of Scientific Research and Reports,
The horticulture sub-sector contributes substantially to the Kenyan economy, but smallholder productivity is low. This study investigated the role of information literacy on smallholder horticultural productivity performance in a lower highland zone of Belgut Sub-county, Kericho County, Kenya. The study used descriptive cross-sectional survey design. Data were collected between January and April 2019. Smallholder horticulture farmers who previously participated in a program; NALEP, in Belgut Sub-county were purposely selected and interviewed. Data was collected from 31 respondents through face-to-face household interviews using pre-tested semi-structured interview schedules and analyzed using Statistical Package for Social Sciences (SPSS) version 20. Descriptive statistics were utilized to document the farmers’ information sources. Associations between attributes were analyzed by running Goodman and Kruskals’ gamma and Somers’ d. Findings indicated that the smallholder horticulture farmers obtained horticultural information mostly from the public extension, but also from private companies, NGOs/FBOs, mass media, and other farmers. Farmers’ level of formal education, organizational skills, accounting, and farming skills; as indicators of information literacy, showed moderate strength of relationship with productivity and profitability (Gamma = 0.200 to 0.563) but showed mixed strength with horticultural produce quality (Gamma = 0.138 to 0.948).Somers delta showed similar patterns (Somers d = 0.089 to 0.684). When the four indicators of information literacy were amalgamated into an information literacy score, there was evidence of a moderate strength monotonic relationship between information literacy and performance as measured by the Spearman rank correlation; rs (29) = .571, P = .001.The study concludes that farmers obtain horticultural information from diverse sources. Information literacy contributes to the productivity and profitability of smallholder horticulture. Capacity building of the farmers on information literacy is recommended.
- Information literacy
How to Cite
World Bank Group. Kenya Economic Update: Policy options to advance the Big 4. World Bank, Nairobi. 2018;17.
World Bank & CIAT. Climate-smart agriculture in Kenya. CSA Country Profile. Washington D.C.: The World Bank Group.
Mayaka PK. A knowledge management system for horticulture farming in Kenya; 2013.
Ongeri BO. Small scale horticultural farming along the Kenyan highways and local economic development: Exploring the effect of factor prices. International Review of Research in Emerging Markets and the Global Economy (IRREM): An Online International Research Journal. 2014;1(3): 2311–3200.
Cheruiyot JK, Sang N, Ngetich F. Knowledge management practices, challenges, and coping strategies adopted by public agricultural extension: A case of Nandi-hills sub-county, Nandi County, Kenya. Asian Journal of Agricultural Extension Economics and Sociology. 2020;38(2). Available:https://doi.org/10.9734/ajaees/2020/v38i230304;2020
Malapela T, Keizer J. The role of AGRIS in providing global agricultural information to boost productivity and food security. 2014; 1–9.
Wanyama R, Mathenge MW, Mbaka ZS. Agricultural information sources and their effect on farm productivity in Kenya. Tegemeo Institute of agricultural policy and development, WPS 62/2016; 2016.
Attama RO, Igwe KN. Dimensions of information literacy and the expectations from librarians in diverse environments. Nigeria International Journal of Learning & Development. 2015;5(2):65-77.
Mashroofa MM, Senevirathne W. Influence of information literacy skills in accessing agricultural information with special reference to Paddy Farmers of Ampara District, Sri Lanka: 2014; Paper presented at IFLA Conference in Lyon. 2014;21–25.
Zhong X, Qu K. The Investigation and analysis of the new generation farmers’ information literacy in Chongqing Province; 2013.
Eric OO, Prince AA, Alfreda ANA. Effects of education on the agricultural productivity of farmers in the Offinso Municipality. Int. J. Dev. Res. 2014;4:1951–1960.
Government of Kenya. Agriculture Sector Development Support Programme (ASDSP) Kericho. Ministry of Agriculture, Kenya; 2014.
Ministry of Agriculture Livestock and Fisheries. Department of Agriculture: Annual Report. Republic of Kenya; 2010.
Nardi PM. Doing Survey Research: A Guide to Quantitative Methods (3rd Edition). New York: Routledge; 2016.
Göktaş A, Išçi ÖA. Comparison of the most commonly used measures of association for doubly ordered square contingency tables via simulation. Metodološkizvezki. 2011;8(1):17–37.
Laerd Statistics. Spearmans Rank Order Correlation. 2018 Lund Research LTD; 2018.
Yaseen M, Xu S, Yu W, Hassan S. Farmers’ Access to agricultural information sources: Evidence from Rural Pakistan; 2016.
Jiyawan R, Jirli B, Singh M. Farmers’ view on privatization of agricultural extension services. Indian Res. J. Extension Educ. 2009;9(3):63–67.
Mwangi J. Factors Influencing horticultural production in Kenya: A case of farmers sponsored by non- governmental organizations in Muranga county, Kenya. (Unpublished Masters Thesis). University of Nairobi, Kenya; 2016.
Limberg L, Sundin O, Talja S. Three theoretical perspectives on information literacy. Human IT. 2012;11(2):93–130.
Csótó M. Information flow in agriculture – through new channels for improved effectiveness. Journal of Agricultural Informatics. 2011;1(2):25–34.
Weir S. The Effects of education on farmer productivity in rural Ethiopia: Oxford Centre for the Study of African Economies, Department of Economics, University of Oxford; 1999.
Ahmad S, Steen J. Small farmers’ capabilities and farm-level productivity: Empirical evidence from developing economies, paper presented in Asia Pacific Productivity Conference April 08-10, 2016, Nankai University, Tianjin, China; 2016.
Kabore D. Financial profitability and technical efficiency of horticultural crops in the Nakanbé River Watershed in Burkina Faso; 2014.
Barrett CB, Place F, Aboud AA. Natural resources management in African agriculture: Understanding and improving current practices. Wallingford, UK: CAB International; 2002.
Tham-Agyekum EK, Appiah P, Nimo F. Assessing farm record keeping behaviour among small-scale poultry farmers in the Ga east municipality. Journal of Agricultural Science. 2010; 2(4):52-62.
Okoh LO, Uzoka P. The role of accounting information in the survival of small scale businesses in Warri, Delta State, Nigeria. International Journal of Economic Development Research and Investment. 2012;3:40-44.
Mwebesa LCK, Kansiime C, Asiimwe B, Mugambe P, Rwego IB. The effect of financial record keeping on financial performance of development groups in rural areas of Western Uganda. International Journal of Economics and Finance. 2018;10(4):136-145.
Dawuda A, Azeko I. An assessment of financial records keeping behavior of small scale businesses in Ghana: A case study of Bolgatanga Municipality. International Journal of Finance and Accounting. 2015; 4(3):187-194.
Aladejebi O, Oladimeji JA. The Impact of Record-Keeping on the Performance of Selected Small and Medium Enterprises in Lagos Metropolis. 2019;7(1):28-40.
Minae S, Baker D, Dixon J. Status of farm data systems and farmer decision support in Sub-Saharan Africa. FAO Rome; 2008.
Mahiyu A. Financial management for smallholder farmers, farm radio international script of the week. Reviewed by Rex. Chapota;16,
Maïga WH, Harounan K. The role of agricultural skills development in transforming African agriculture: African transformation report 2017. African Center for Economic Transformation; 2017.
OtsukaK, Liu Y, Yamauchi F. The future of small farms in Asia: Paper submitted to the overseas development institute and international fund for 31 agricultural development. Overseas Development Institute and International Fund; 2014.
McDonald JH. Handbook of biological statistics. University of Delaware: Sparky House Publishing, Baltimore, Maryland, USA; 2014.
Kotrlik JW, Williams HA, Jabor MK. Reporting and interpreting effect size in quantitative agricultural education research. Journal of Agricultural Education. 2011; 52(1):132-142.
Ogungbeni J, Ogungbo W, Adeleke O. Agricultural information needs of farmers in lagos state, Nigeria. International Journal of Agricultural Science Research. 2013; 2(4):116-123.
Masuku M. Factors affecting the productivity and profitability of vegetable production in Swaziland; 2016.
Nwaru JC. Rural Credit markets and resource use in arable crop production in the Imo State of Nigeria. (Unpublished Doctorate Dissertation). Department of Agricultural Economics, Michael Okpara University of Agriculture, Umudike, Nigeria; 2004.
Abstract View: 984 times
PDF Download: 506 times