The THE IMPACT OF DAIRY COOPERATIVES ON MILK PRODUCERS’ REVENUES OF IHUZA ABOROZI BA KIJYAMBERE BAFATANYINJE (IAKIB) IN GICUMBI DISTRICT OF RWANDA. APPLICATION OF PROPENSITY SCORE MATCHING (PSM)


Abstract

Dairy cooperatives should have a significant impact in the future in terms of regenerating rural life. The pressing need in the Cooperative sector in the era of liberalized environments is to seize every opportunity available for the country. Diary co-operatives mainly from cattle production played a vital role in our country’s economy in the previous era and will do so in years to come. This study aims to assess the impact of dairy cooperatives on milk producers’ revenues in the Gicumbi district of Rwanda. The total sample involved in this research was 974, from four cow milk producers, namely Bukure MCC-Cooperative d’Elevage Moderne de Bukure (COOPEMOBU), Koperative Zamuka Mworozi (KOZAMGI) and Borozi Twisungane Kabuga-Nyamiyaga and Giramata, which form the cooperative union of Ihuza Aborozi ba Kijyambere Bafatanyinje (IAKIB). The total sample size to be taken from three cooperatives and other recorded local farmers supplying their milk to the nearest Milk Collection Centres, as preselected, is 260 milk producers, including 187 participants and 73 non-participants of dairy cooperatives. The study used a descriptive survey design, encompassing three cooperatives and other dairy producers not members of cooperatives from Gicumbi district. Descriptive statistics, t-test, Standard Deviation, means, frequency and percentages, as well as a Propensity Score Matching model were used to analyse the results of the study. The study findings show that the average total gross revenue was 551,113 Rwandan francs for these farmers, while the mean difference between dairy cooperative participants and non-participants ranged from 50,146 Rwandan francs to 168,145 Rwandan francs as program impact. This is an indication that participants in dairy cooperatives gain more compared to their factual group. The study recommends that small holder dairy producers should be supported to enable them to produce surplus milk for markets and reduce local milking cow numbers by replacing them with crossbred cows. It is recommended that governments should also strengthen milk processing cooperatives and improve their infrastructure facilities to reduce the transportation cost for small-scale dairy producers.

Keywords

dairy cooperatives; livestock producers and Propensity Score Matching (PSM)

Adebayo, S.T. (2010). Cooperative association as a tool for rural development and poverty reduction in Rwanda: A study of Abahuzamugambi ba kawa in Maraba sector. https://www.researchgate.net/publication/339141345_Cooperative_Association_as_a_Tool_for_Rural_Development_and_Poverty_Reduction_in_Rwanda
Biyase, M., Zwane, T. (2018). An empirical analysis of the determinants of poverty and household welfare in South Africa. J. Dev. Area., 52(1), 115–130; https://doi.org/
10.1353/jda.2018.0008
Bizoza, A.R., Havugimana, J.M. (2013). Land use consolidation in Rwanda: A case study of Nyanza district, Southern province. Int. J. Sust. Land Use Urban Plan., 1(1); https://doi.org/10.24102/ijslup.v1i1.106
Covarrubias, K., Nsiima, L., Zezza, A. (2012). Livestock and livelihoods in rural Tanzania: A descriptive analysis of the 2009 National Panel Survey.
De Hoop, T. (2012). How context matters for development effectiveness: A study into social norms and heterogeneous impacts. https://www.academia.edu/24030982/How_Context_Matters_for_Development_Effectiveness_A_Study_into_Social_Norms_and_Heterogeneous_Impacts
Dehejia, R.H., Wahba, S. (2002). Propensity score-matching methods for nonexperimental causal studies. Rev. Econ. Stat., 84(1), 151–161. https://doi.org/10.1162/003465302317331982
Du-Pont, T., Vilakazi, C.M.N., Thondhlana, G., Vedeld, P. (2020). Livestock income and household welfare for communities adjacent to the Great Fish River Nature Reserve, South Africa. Env. Dev., 33, 100508. https://doi.org/10.1016/j.envdev.2020.100508
Duncan, A.J., Teufel, N., Mekonnen, K., Singh, V., Bitew, A., Gebremedhin, B. (2013). Dairy intensification in developing countries: effects of market quality on farm-level feeding and breeding practices. Animal, 7(12), 2054–2062. https://doi.org/10.1017/s1751731113001602
Faye, B., Konuspayeva, G. (2012). The sustainability challenge to the dairy sector–The growing importance of non-cattle milk production worldwide. Int. Dairy J., 24(2), 50–56. https://doi.org/10.1016/j.idairyj.2011.12.011
Germain, S., Mulyungi, P., Majiwa, E., Eric, N., Nsengiyumva, A. (2018). Effect of transaction costs on the supply of milk to the market for small dairy farmers in Nyagatare District, Rwanda. Int. J. Sci. Eng. Res., 9(9), 301–307.
Kathiresan, A. (2012). Farm land use consolidation in Rwanda. Kigali: Republic of Rwanda, Ministry of Agriculture and Animal Resources.
Kayigema, V., Rugege, D. (2014). Women’s perceptions of the Girinka (one cow per poor family) programme, poverty alleviation and climate resilience in Rwanda. Agenda, 28(3), 53–64. https://doi.org/10.1080/10130950.2014.939839
Klenke, K. (2016). Qualitative research in the study of leadership: Emerald Group Publishing Limited.
Kothari, S.P., Leone, A.J., Wasley, C.E. (2005). Performance matched discretionary accrual measures. J. Account. Econ., 39(1), 163–197. https://doi.org/10.1016/j.jacceco.2004.11.002
Lekobane, K.R., Seleka, T.B. (2017). Determinants of household welfare and poverty in Botswana, 2002/2003 and 2009/2010. J. Pov., 21(1), 42–60. https://doi.org/10.1080/10875549.2016.1141381
Lenjiso, B.M., Smits, J., Ruben, R. (2016). Smallholder milk market participation, dietary diversity and nutritional status among young children in Ethiopia.
Leuven, E., Sianesi, B. (2003). Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Statistical Software Components S, 432001.
Lisson, S., MacLeod, N., McDonald, C., Corfield, J., Pengelly, B., Wirajaswadi, L., ... Razak, N. (2010). A participatory, farming systems approach to improving Bali cattle production in the smallholder crop–livestock systems of Eastern Indonesia. Agric. Syst., 103(7), 486–497. https://doi.org/10.1016/j.agsy.2010.05.002
Malterud, K., Siersma, V.D., Guassora, A.D. (2016). Sample size in qualitative interview studies: guided by information power. Qual. Health Res., 26(13), 1753–1760. https://doi.org/10.1177/1049732315617444
Mbowa, S., Shinyekwa, I., Lwanga, M. (2012). Widening Opportunities for Increased Marketing of Processed Milk in UgandaIntroduction.
Mwabonimana, M., Rekeraho, J., Ntirenganya, M., Bimenyimana, F. (2015). Cost benefit analysis of bovine mastitis in Nyabihu and Musanze district, Rwanda. Int. J. Novel Res. Life Sci., 2(4), 21–31.
NISR (2016). Rwanda Demographic and Health Survey 2014–15. In: NISR, MOH, and ICF International Rockville, MD.
Nkwasibwe, A., Mugisha, J., Elepu, G., Kaneene, J. (2015). Increasing the efficiency of the dairy value chain in Uganda: Determinants of choice of milk marketing channels by dairy farmers in Kiruhura District, Uganda. Liv. Res. Rural Dev., 27(9), 168.
Otieno, G.O. (2020). Smallholder dairy farmers’ typologies, collective action, and Commercialisation in Kenya. JKUAT-AGRICULTURE.
Pica-Ciamarra, U., Tasciotti, L., Otte, J., Zezza, A. (2011). Livestock assets, livestock income and rural households: cross-country evidence from household surveys. https://doi.org/10.1111/dpr.12092
Pingpoh, D., Mbah, D., Tawah, L. (2019). Profitability of agricultural research: the case of genetic improvement of cattle for milk production in Cameroon. J. Camer. Acad. Sci., 15(1), 3–8. https://doi.org/10.4314/jcas.v15i1.1
Rosenbaum, P.R., Rubin, D.B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. Am. Stat., 39(1), 33–38. https://doi.org/10.1080/00031305.1985.10479383
Salami, A., Kamara, A.B., Brixiova, Z. (2010). Smallholder agriculture in East Africa: Trends, constraints and opportunities: African Development Bank Tunis.
Sharma, S.K., Das, A. (2018). EU-Brazil proposal on farm support: strengthening agricultural reforms or undermining them? https://doi.org/10.5958/0974-0279.2018.00007.1
Sikawa, G., Mugisha, J. (2011). Factors influencing south-western Uganda dairy farmers’ choice of the milk marketing channel: a case study of Kirihura district south western Uganda. Moshi University College of Cooperative and Business Studies.
Stasinakis, A.S., Charalambous, P., Vyrides, I. (2022). Dairy wastewater management in EU: Produced amounts, existing legislation, applied treatment processes and future challenges. J. Env. Manag., 303, 114152. https://doi.org/10.1016/j.jenvman.2021.114152
Umuzigambeho, J. (2017). Gender assessment of dairy value chains: evidence from Rwanda. Gender assessment of dairy value chains: evidence from Rwanda.
Westholm, L., Ostwald, M. (2020). Food production and gender relations in multifunctional landscapes: a literature review. Agroforest. Syst., 94(2), 359–374. https://doi.org/10.1007/s10457-019-00397-1
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Published : 2022-10-10


Nsengiyumva, J. N., Mutamuliza, E., Karangwa, A., & Tuyisenge, J. L. (2022). The THE IMPACT OF DAIRY COOPERATIVES ON MILK PRODUCERS’ REVENUES OF IHUZA ABOROZI BA KIJYAMBERE BAFATANYINJE (IAKIB) IN GICUMBI DISTRICT OF RWANDA. APPLICATION OF PROPENSITY SCORE MATCHING (PSM). Journal of Agribusiness and Rural Development, 65(3), 197–208. https://doi.org/10.17306/J.JARD.2022.01476

Jean Nepo Nsengiyumva  jeannepo40@gmail.com
Rwanda Polytechnic, Rwanda  Rwanda
https://orcid.org/0000-0002-0607-1825
Eularie Mutamuliza 
University of Rwanda, Rwanda  Rwanda
Antoine Karangwa 
University of Rwanda, Rwand  Rwanda
Jean Luc Tuyisenge 
University of Rwanda, Rwanda  Rwanda
https://orcid.org/0000-0002-0607-1825


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