Farm Gate Dairy Milk Marketing Channel Choice in Kericho County, Kenya
Journal of World Economic Research
Volume 7, Issue 3, September 2018, Pages: 92-104
Received: Sep. 28, 2018; Accepted: Nov. 5, 2018; Published: Nov. 30, 2018
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Ngeno Elijah Kiplangat, Department of Applied Economics, School of Economics, University of Eldoret, Eldoret, Kenya
Ngeno Vincent, Department of Agricultural Economics and Resource Management, Moi University, Eldoret, Kenya
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This study examined the factors that determined dairy farmer households’ choice of a commercial milk marketing channel in Kericho County, Kenya. Multistage cluster sampling technique was employed in collecting data from 432 dairy farmers and survey data was analyzed using multivariate probit regression model. Marginal effect results revealed that a unit change in household’s pasture farm size and partnership in lobbying for better milk price increased the probability of selling milk only to commercial milk buyer by one and 19 percentage points respectively. The number of cows milked per day and milk storage/cooling raised the probability of selling raw milk to commercial buyers by 2.3 and 16.1 percentage points respectively. Commercial milk buyers valued security in raw milk supply which came from trusted relationships and from contracts with the dairy milk seller households. To increase the choices of commercial dairy milk marketing channels and hence the switching power of the dairy farmer households in Kericho County and by extension, Kenya as a whole, this study recommends strengthening the capacity of dairy farmer households by up scaling their technical knowhow and by enlarging their herd sizes. Further, the study recommends group formation, partnership development and increased financial investments in livestock milk markets by national and county governments.
Raw Dairy Milk, Farm Gate, Marketing Channel, Multivariate Probit Regression
To cite this article
Ngeno Elijah Kiplangat, Ngeno Vincent, Farm Gate Dairy Milk Marketing Channel Choice in Kericho County, Kenya, Journal of World Economic Research. Vol. 7, No. 3, 2018, pp. 92-104. doi: 10.11648/j.jwer.20180703.11
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ILRI, (2011). Towards priority actions for market development for African farmers. In Proceedings of an international conference, Nairobi, Kenya,13-15 May 2009 (p. 400). Nairobi, Kenya. Retrieved from
Beneberu T. K., Girma A. H., 2011. Determinants of Sheep Prices in the Highlands of Northeastern Ethiopia: Implication for sheep value chain development. Addis Ababa.
Gorton, White J., (2007). Transformation and contracting in the supply chains of the former Soviet Union. In: Swinnen, JFM. (Ed.), Global supply chains standards and the poor: how the globalization of food system and the standards affects rural development and poverty. CABI, Wal. J.F.M. (Ed.). Belgium: CABI. pp: 175–187.
Sadler M., (2006). Comparative analysis of cotton supply chains in Central Asia. In: Swinnen, J.F.M. (Ed.), Case studies on vertical co-ordination in Agrofood Chains in Europe and Central Asia, ECSSD. Washington, DC: World Bank.
Karanja, A. M., (2003). The Dairy Industry in Kenya: The post-liberalization agenda Tegemeo Agricultural Monitoring and Policy Analysis (TAMPA II) Project, by USAID, Nairobi.
Thorpe W., Muriuki H. G., Omore A., O. M. O. and S. S., (2000). Dairy Development in Kenya: The Past, thepresent and the future. “Challenges to Animal Production in the New World Order. Nairobi, Kenya.
Muriuki H. G., (2011). Dairy Development in Kenya. How smallholder dairy systems in Kenya contribute to food security and poverty alleviation: results of recent collaborative studies. FAO, Rome.
Elizabeth, M. Farina, M. and T. R., (2000). Agrifood grades and standards in the extended Mercosur: Their role in the changing Agrifood system. American Journal of Agricultural Economics, 82(5), 1170–1176.
GoK, (2012). Kenya National Dairy Master Plan. A situational analysis of the dairy subsector. Nairobi: Government Printer, Kenya
Dorosh, P.A. and H. Steven, (2003). Growth linkages, price effects and income distribution in Sub-Saharan Africa. Journal of African Economies, 12(2): 207-235.
Ortner, K.M., J. Hambrusch and J. Kirner, (2000). The efficiency of dairy farms in Austria. Do natural conditions matter? Vienna: Federal Institute of Agricultural Economics.
Kenya Dairy Board (KDB), (2015). The Kenyan dairy industry at a glance.
Business Daily, (2014). Kenya Dairy Board plans to regulate raw milk prices, p. 12. Nairobi. Retrieved from
Jari, B., (2009). Institutional and technical factors influencing agricultural marketing channel choices amongst smallholder and emerging farmers in the Kat River Valley. African Journal of Agricultural Research, 4(11): 1129-1137.
Sauer J., Gorton, M. and White, J., (2012). Marketing, cooperatives and price heterogeneity: Evidence from the CIS Dairy Sector. Agricultural Economics, 43(2), 165–177.
Kazmer, D.R., Konrad, M., (2010). Economic lessons from the transition: The basic theory re-examined. ME Sharpe, Armonk.
Striewe L., (1999). Grain and oilseed marketing in Ukraine, In: Swinnen, J.F.M. (Ed.), Global Supply Chains Standards and The Poor: How the globalization of food system and the standards affects rural development and poverty. Iowa State University Ukraine Agricultural Policy Project (UAPP). Kiev: CABI, Wal. J.F.M. (Ed.). pp: 175–187.
Gow H. R, Swinnen J. F. M. (2001). Private enforcement capital and contract enforcement in transitional economies. American Journal on Agricultural Economics, (83 (3)), 686–690.
Swinnen J. F. M., (2005). When the market comes to you or not: The dynamics of vertical coordination in Agri-Food chains in transition. Washington, DC.
Liefert W. and Liefert O., (2007). Distortions to agricultural incentives in russia. Agricultural Distortions Working Paper 08, (No. 08). Washington, DC.
Kumar, V. and Staal, J., (2011). Is traditional milk marketing and processing viable and efficient? An empirical evidence from Assam. India. Quarterly Journal of International Agriculture, 49, 2013–225.
Wambugu, S., L. Kirimi and J. Opiyo, (2011). Productivity trends and performance of dairy farming in Kenya. Tegemeo Working Paper No. 43/2011, Tegemeo, Nairobi.
Ahaibwe, G., Mbowa, S. and, & Lwanga, M. M., (2013). Youth engagement in agriculture in Uganda : Challenges and Prospects. Economic Policy Research Centre, 7(106), 4–20.
Kabunga, N., (2014). Adoption and impact of improved cow breeds on household welfare and child nutrition outcomes: Empirical Evidence from Uganda. Contributed Paper prepared for presentation at the 88th Annual Conference of the Agricultural Economics Society, AgroParisTech, Paris, France 9 -11 April 2014
Kavoi, M.M., Hoag L. and J. Pritchett, (2010). Measurement of economic efficiency for smallholder dairy cattle in the marginal zones of Kenya. Journal of Development and Agricultural Economics, 2(4): 122-137.
Mugambi, D.K., Wambugu S. K., Gitunu A. M. M. and Mwangi M., (2011). Estimation of milk production efficiency of dairy cow farms in Embu and Meru counties of Kenya. Available from
Murage, A.W. and D. Ilatsia, (2011). Factors that determine use of breeding services by small holder dairy farmers in central Kenya. Tropical Animal Health Production, 43(1): 199-207.
Ng’eno E. K., (2016). Impact of milk marketing channel choice decision on income, employment and breeding technologies among dairy farmer households in Kericho County, Kenya. Asian Journal of Economics and Empirical Research, 3(2): 145-155.
Anderson D. R., Sweeny J. D., Williams TA, Freeman J and Shoesmith E., (2007). Statistics for business and economics. 9th Edition. Thomson Learning. Thomson Press (India).
Gow H. R., Streeter D. H., and S. J. F. M., (2001). How private contract enforcement mechanisms can succeed where public institutions fail: The case of Juhocukor a.s. Agricultural Economics, 23, 253–265. Retrieved from
Greene W., (2003). Econometric Analysis (5th Ed.). Upper Saddle River, NJ.: Prentice Hall, Upper Saddle River, NJ.
McFadden D., (2000). Economic Choices. Economic Science. Berkeley, USA.
Fahrmeir, L. and G. T., (2001). Multivariate statistical modeling based on generalized linear models(2nd ed.). New York: Springer.
Ashford, J. R. and Sowden, R. R., 1970. Multivariateprobit analysis. Biometrics 26, 535-46.
Gujarati, (2004). Basic Econometrics. 4th Edition, New York: Tata McGraw Hill Publisher.
Akerlof, G.A. (1970). The market for “lemons”: quality uncertainty and the market mechanism, Quarterly Journal of Economics, 84, 488-500.
Morgan, S. B. (2008). Do cooperatives benefit small Guatemalan coffee farmers? The competitive role of guatemalan coffee cooperatives on farm-gate coffee prices, University of San Francisco, mimeo. University of San Francisco.
Hangara, G. N., Teweldemedhin, M. Y., & Groenewald, I. B., (2011). Measuring factors that can influence cattle supply response to the market in Namibia: Case study from Omaheke communal farmers. Agricultural Extension and Rural Development, 3(8), 141–146.
Larsen, K. A., (2011). Do institutional incentives matter for farmers farmers to join cooperatives : A comparison of two Chinese regions? Journal of Rural Cooperation, 39(1), 1–18.
Tsourgiannis, L., Errington, A. & Eddison, J., (2002). Marketing strategies of agricultural producers in objective one Greek regions: the factors affecting the selection of marketing channels of sheep and goat producers. Drake Circus, Plymouth, UK.
Sikawa, G.Y. and Mugisha J., (2010). Factors influencing South-Western Uganda dairy farmer’s choice of the milk marketing channel: A case study of Kirihura District South Western Uganda. Research Report Series, No. 0856-9681.
McPeak, J., (2004). Contrasting income shocks with asset shocks: livestock sales in Northern Kenya. Oxford Economic Papers, 56(2), 263–284.
Odhiambo, B. O., Murage, H., & Wagara, I. N., (2013). Isolation and characterization of Aflatoxigenic Aspergillus Species from maize and soil samples from selected Counties of Kenya, 7(34), 4379–4388.
Pope, S. B., (2000). Free shear flows: Turbulent flows. Cambridge: Cambridge University Press.
Studies, N., & Karimipanah, T., (1996). Turbulent jets in confined spaces application in mixing ventilation experimental and numerical studies. Royal Institute of Technology, Gävle Sweden.
Evenson, R. E. and G. M., (1998). The effects of agricultural extension on farm yields in Kenya (No. 06520-8269). New Haven, Connecticut.
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