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A Multinomial Logit Approach to Smallholder Milk Marketing Channels for Improved Competitiveness in the Kenyan Dairy Value Chain

Received: 11 September 2021    Accepted: 8 October 2021    Published: 9 February 2022
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Abstract

Selection of appropriate markets is a major challenge facing smallholder dairy farmers in Kenya. This study therefore sought to understand factors influencing milk marketing channel choices among smallholder dairy farmers in Kinangop Sub County. Data from a sample of 230 smallholder dairy farmers was collected using structured questionnaires and analysed using both descriptive and inferential statistical methods. The study identified three marketing channels namely; milk processors (46.09) %, milk bars (32.61) % and direct sales (21.3) %. Similarly, years of schooling (p≤0.1), on-farm income (p≤0.1) and milk output (p≤0.01) were statistically significantly different across the three marketing channels. The average farm gate price was kes 32.6 per litre. From the multinomial logistic regression, marital status, extension access, association membership, mode of payment and transport ownership significantly influenced marketing channels. Further results showed that majority (53.48) % of farmers never had access to market information. The study therefore recommended policies geared towards enhancing more years of formal education and market intelligence so as to facilitate selection of appropriate marketing channels, more training on dairy husbandry practices with the aim of increasing milk output, facilitate access to transport facilities so as to enhance milk delivery to milk collection centres and a review of payment arrangements between milk processors and farmers so as to avoid the problem of delayed payments to farmers.

Published in International Journal of Agricultural Economics (Volume 7, Issue 1)
DOI 10.11648/j.ijae.20220701.14
Page(s) 20-28
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Kinangop Sub County, Milk Marketing Channel, Multinomial Logit Model, Smallholder Dairy Farmers

References
[1] Afari-Sefa, V., Mshenga, P., Aika, A. & Ochieng, J. (2018). Effect of market access provided by farmer organizations on smallholder vegetable farmer’s income in Tanzania. Cogent Food & Agriculture 4, 1560596.
[2] Al-Hassan, R. M., Sarpong, D. B., & Mensah-Bonsu, A. (2006). Linking smallholders to markets. International Food Policy Research Institute (IFPRI), Ghana Strategy Support Program, IFPRI, Washington DC, USA.
[3] Bahiigwa, G. (2006). Access of Eastern African farmers to domestic and international markets: Opportunities and constraints. In Invited paper prepared for presentation at the International Association of Agricultural Economists Conference. Gold Coast, Australia.
[4] Barrett, C. B. (2007). Smallholder market participation: Concepts and evidence from eastern and southern Afric+a. Prepared for FAO workshop on Staple Food Trade and Market Policy Options for Promoting Development in Eastern and Southern Africa, Rome, March 1–2, 2007. Food Policy, 33 (4), 299–317. doi: 10.1016/j.foodpol.2007.10.005.
[5] Bingi and Tondel, (2015) Recent Developments in the Dairy Sector in Eastern Africa Towards a Regional Policy Framework for Value Chain Development. Briefing Notes No. 78 – September 2015.
[6] Corne, R. J., Bookline, O. B., Jan van der. L., Kileju, C. and Tonui, C. (2016). Sustainable growth in the Kenyan dairy sector: A quick scan for robustness, reliability and resilience. Report 3R Kenya/WLR 979.
[7] Dovie, D. B. K., Shackleton, C. M., & Witkowski, E. T. F. (2006). Valuation of communal area livestock benefits, rural livelihoods and related policy issues. Land Use Policy, 23 (3), 260– 271. doi: 10.1016/j.landusepol.2004.08.004.
[8] County Government of Nyandarua (2018). County Integrated Development Plan, CIDP 2018-2022.
[9] Emana, B. & Gebremedhin, H. (2007). Constraints and opportunities of horticultural production and marketing in Eastern Ethiopia. Dry lands Coordination Group Report No. 46.
[10] Ferris, S., Robbins, P., Best, R., Seville, D., Buxton, A., Shriver, J., & Wei, E. (2014). Linking smallholder farmers to markets and the implications for extension and advisory services. MEAS Brief, 4 (10), 13–14.
[11] Food and Agriculture Organization. (2018). FAOSTAT Database. Retrieved March 28, 2018, from: http://faostat3+.fao.org/download/Q/*/Ehttp://www.fao.org/faostat/en/#data/QL.
[12] Food and Agriculture Organization of the United Nations. (2011). Dairy Development in Kenya. by H. G. Muriuki. Rome.
[13] Food and Agriculture Organization of the United Nations. (2010). Status and Prospects of Smallholder Milk Production a Global Perspective. Pro-Poor Livestock Policy Initiative, Rome.
[14] Food and Agriculture Organization. (2009). FAOSTAT online database. Retrieved from http://faostat.fao. org 201620.
[15] Government of Kenya. (2010). Kenya National Dairy Master Plan. Nairobi: Ministry of Livestock Development, Nairobi.
[16] Government of Kenya. (2007). Kenya Vision 2030. Nairobi: Ministry of state for planning, National development and Vision 2030.
[17] Gujarati, N. (2004). Basic Econometrics. Third Edition. McGraw-Hill Book Company, New York. Xi.
[18] Greene, W. H. (2002). Econometric Analysis. Seventh edition. Prentice Hall Pearson, NJ.
[19] Greene, W. H. (2012). Econometric Analysis. Fourth edition. Prentice Hall International Upper Saddle River, USA. x.
[20] Grimsdell, K. (1996). The supply chain for fresh vegetables: What it takes to make it work. Supply Chain Management, 1 (1), 11–14.
[21] Hemen, T. and Amah, T. (2015). Challenges Affecting Dairy Farmers in Kenya: A Case Study of Dairy Farmer Groups in Njabini, Nyandarua County.
[22] International Market Analysis Research and Consulting. (2018). Global Dairy Market Report, Trends and Forecast 2018-202. https://www.imarcgroup.com/globaldairy-market.
[23] Kenduiwa, A. A., Mwonya, R. A. & Kinuthia, L. N. (2016). Influence of smallholder dairy farmers’ participation in microfinance on breed improvement in dairy farming in Longisa Sub-County, Bomet County, Kenya. Journal of Agriculture and Veterinary Science, 9 (7), 66-75.
[24] Kenya National Bureau of Statistics. (2016). The Kenya Economic Survey. Kenya National Bureau of Statistics, Government Printers Nairobi.
[25] Kinangop Sub County Livestock Production Office. (2018). Unpublished livestock production report, 2018.
[26] Koech, K. K. (2015). Factors determining choice of market facilitators by smallholder horticultural farmers in Laikipia County, Kenya. Master thesis. Egerton University: Kenya.
[27] Liu, Y. (2018). Determinants and impacts of marketing channel choice among cooperatives members: Evidence from agricultural cooperative in China. A selected paper for presentation at the international conference of agricultural economists. July 28th to August 2nd 2018.
[28] Mmbando, F. E., Wale, L. J. and Baiyegunhi, J. S. (2017). The welfare impacts of market channel choice by smallholder farmers in Tanzania, Development in Practice, 27: 7, 981-993, DOI: 10.1080/09614524.2017.1353066.
[29] Mmbando, F. E., Wale, E., Baiyegunhi, J. S and Darroch, M. A. (2016). The Choice of marketing channel by maize and pigeon pea smallholder farmers: Evidence from the Northern and Eastern Zones of Tanzania, Agrekon, 55 (3), 254-277, DOI: 10.1080/03031853.2016.1203803.
[30] Mutura, J. K., Nyairo, N., Mwangi, M. and Wambugu, K. S. (2015). Analysis of Determinants of Market Channel Choice among Smallholder Dairy Farmers in Lower Central Kenya. International Journal of Innovative Research and Development. 4 (10), 264-268.
[31] Nassiuma, D. K. (2000). Survey sampling: Theory and Methods. Njoro, Kenya: Egerton University Press.
[32] Ntimbaa, G. J & Akyoob, A. M. (2017). Factors influencing choice decision for marketing channels by coffee farmers in Karagwe District, Tanzania. Global Journal of Biology Agriculture and Health Sciences. 6 (2), 1-10.
[33] Nxumalo, K. S., Oduniyi, O. S., Antwi, M. A., & Tekana, S. S. (2019) Determinants of market channel choice utilised by maize and sunflower farmers in the North West province, South Africa, Cogent Social Sciences, 5: 1, 1678451: https://doi.org/10.1080/23311886.2019.1678451
[34] Nyaga, J., Nyikal, R. N. and Busienei, J. R. (2016). Factors influencing the choice of marketing channel by fish farmers in Kirinyaga County, Kenya. An Invited poster presented at the 5th International Conference of the African Association of Agricultural Economists, September 23-26, 2016, Addis Ababa, Ethiopia.
[35] Wanjala, S. O, Njehia, B. Ngichabe, C. (2014). Assessment of the structure and performance of the milk markets in Western Kenya. International Journal of Current Research, 6 (3), 5652-5656.
[36] Staal, K., Makokha, S. and Kosura, W. (2007). Valuation of Cow Attributes by Conjoint Analysis: A case study of western Kenya. African Journal of Agricultural and Resource Economics, 1 (2).
[37] Tawanda, M., Mapiye, C., Makombe, G., Nengovhela, V., Strydom, P., Muchenje, V. and Dzama, K. (2016). Determinants and opportunities for commercial marketing of beef cattle raised on communally owned natural pastures in South Africa. African Journal of Range and Forage Science. 33 (3), 199-206, DOI: 10.2989/10220119.2016.1235617.
[38] Thornton, P. K. (2010). Livestock production: Recent trends, future prospects. Philosophical Transactions of the Royal Society B: Biological Sciences, 365 (1554), 2853–2867. doi: 10. 1098/rstb.2010.0134.
[39] United States Agency for International Development (USAID-KAVES (2018). ‘‘Kenya Crops and Dairy Market Systems Activity’’ Dairy value chain assessment report.
Cite This Article
  • APA Style

    Wadeya Lennox Ongwech, Otiende Millicent Adhiambo, Christopher Obel-Gor. (2022). A Multinomial Logit Approach to Smallholder Milk Marketing Channels for Improved Competitiveness in the Kenyan Dairy Value Chain. International Journal of Agricultural Economics, 7(1), 20-28. https://doi.org/10.11648/j.ijae.20220701.14

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    ACS Style

    Wadeya Lennox Ongwech; Otiende Millicent Adhiambo; Christopher Obel-Gor. A Multinomial Logit Approach to Smallholder Milk Marketing Channels for Improved Competitiveness in the Kenyan Dairy Value Chain. Int. J. Agric. Econ. 2022, 7(1), 20-28. doi: 10.11648/j.ijae.20220701.14

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    AMA Style

    Wadeya Lennox Ongwech, Otiende Millicent Adhiambo, Christopher Obel-Gor. A Multinomial Logit Approach to Smallholder Milk Marketing Channels for Improved Competitiveness in the Kenyan Dairy Value Chain. Int J Agric Econ. 2022;7(1):20-28. doi: 10.11648/j.ijae.20220701.14

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  • @article{10.11648/j.ijae.20220701.14,
      author = {Wadeya Lennox Ongwech and Otiende Millicent Adhiambo and Christopher Obel-Gor},
      title = {A Multinomial Logit Approach to Smallholder Milk Marketing Channels for Improved Competitiveness in the Kenyan Dairy Value Chain},
      journal = {International Journal of Agricultural Economics},
      volume = {7},
      number = {1},
      pages = {20-28},
      doi = {10.11648/j.ijae.20220701.14},
      url = {https://doi.org/10.11648/j.ijae.20220701.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20220701.14},
      abstract = {Selection of appropriate markets is a major challenge facing smallholder dairy farmers in Kenya. This study therefore sought to understand factors influencing milk marketing channel choices among smallholder dairy farmers in Kinangop Sub County. Data from a sample of 230 smallholder dairy farmers was collected using structured questionnaires and analysed using both descriptive and inferential statistical methods. The study identified three marketing channels namely; milk processors (46.09) %, milk bars (32.61) % and direct sales (21.3) %. Similarly, years of schooling (p≤0.1), on-farm income (p≤0.1) and milk output (p≤0.01) were statistically significantly different across the three marketing channels. The average farm gate price was kes 32.6 per litre. From the multinomial logistic regression, marital status, extension access, association membership, mode of payment and transport ownership significantly influenced marketing channels. Further results showed that majority (53.48) % of farmers never had access to market information. The study therefore recommended policies geared towards enhancing more years of formal education and market intelligence so as to facilitate selection of appropriate marketing channels, more training on dairy husbandry practices with the aim of increasing milk output, facilitate access to transport facilities so as to enhance milk delivery to milk collection centres and a review of payment arrangements between milk processors and farmers so as to avoid the problem of delayed payments to farmers.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - A Multinomial Logit Approach to Smallholder Milk Marketing Channels for Improved Competitiveness in the Kenyan Dairy Value Chain
    AU  - Wadeya Lennox Ongwech
    AU  - Otiende Millicent Adhiambo
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    Y1  - 2022/02/09
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijae.20220701.14
    DO  - 10.11648/j.ijae.20220701.14
    T2  - International Journal of Agricultural Economics
    JF  - International Journal of Agricultural Economics
    JO  - International Journal of Agricultural Economics
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ijae.20220701.14
    AB  - Selection of appropriate markets is a major challenge facing smallholder dairy farmers in Kenya. This study therefore sought to understand factors influencing milk marketing channel choices among smallholder dairy farmers in Kinangop Sub County. Data from a sample of 230 smallholder dairy farmers was collected using structured questionnaires and analysed using both descriptive and inferential statistical methods. The study identified three marketing channels namely; milk processors (46.09) %, milk bars (32.61) % and direct sales (21.3) %. Similarly, years of schooling (p≤0.1), on-farm income (p≤0.1) and milk output (p≤0.01) were statistically significantly different across the three marketing channels. The average farm gate price was kes 32.6 per litre. From the multinomial logistic regression, marital status, extension access, association membership, mode of payment and transport ownership significantly influenced marketing channels. Further results showed that majority (53.48) % of farmers never had access to market information. The study therefore recommended policies geared towards enhancing more years of formal education and market intelligence so as to facilitate selection of appropriate marketing channels, more training on dairy husbandry practices with the aim of increasing milk output, facilitate access to transport facilities so as to enhance milk delivery to milk collection centres and a review of payment arrangements between milk processors and farmers so as to avoid the problem of delayed payments to farmers.
    VL  - 7
    IS  - 1
    ER  - 

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Author Information
  • Department of Agricultural Biosystems, Economics and Horticulture, University of Kabianga, Kericho, Kenya

  • Department of Agricultural Biosystems, Economics and Horticulture, University of Kabianga, Kericho, Kenya

  • Department of Agricultural Economics and Agribusiness Management, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya

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