IDEAS home Printed from https://ideas.repec.org/p/ags/aaae23/365968.html
   My bibliography  Save this paper

Profit efficiency and farm productivity: Implications for adoption of dairy best practices among milk producers in Rwanda

Author

Listed:
  • Naphtal, Habiyaremye
  • Emily, Ouma Awuor
  • Nadhem, Mtimet
  • Gideon, Obare Aiko

Abstract

The dairy best practices (DBP) scheme that provides a set of practices and standards for proper production and handling of raw milk was issued by the Rwandan government. While this scheme has improved the quality of milk, its effects on farm productivity remain unclear. In this paper, we use a translog production frontier and inefficiency effects model to estimate the profit efficiency and determinants of profit inefficiency among milk producers in Rwanda with a focus on the effect of DBP standards. We find that milk production in Rwanda is profitable as farmers get a gross margin of 487,098 Rwf per household and 149,166 Rwf per lactating cow while the revenues almost double the cost incurred. Furthermore, we find a profit efficiency score of 87% implying that farmers are not reaching the maximum possible profit. While investing in milk production is beneficial, adhering to DBP yields more profits (p<0.01) and increases the profit efficiency by 32% (p<0.05). Forage and feed supplements as well as parasite control are key inputs that play a significant role in increasing the profit efficiency. Our results also show that profit efficiency is positively influenced by male-headed households (p<0.01) while cow parity and the proportion of family labour have a negative effect, confirming the possibility of disguised unemployment problem. we recommend government intervention in the enhancement of access to quality inputs together with formulation of policies that promote the adoption of DBP standards among smallholder dairy farmers.

Suggested Citation

  • Naphtal, Habiyaremye & Emily, Ouma Awuor & Nadhem, Mtimet & Gideon, Obare Aiko, 2023. "Profit efficiency and farm productivity: Implications for adoption of dairy best practices among milk producers in Rwanda," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365968, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae23:365968
    DOI: 10.22004/ag.econ.365968
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/365968/files/80.%20Dairy%20in%20Rwanda.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.365968?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    2. Wanglin Ma & Kathryn Bicknell & Alan Renwick, 2019. "Feed use intensification and technical efficiency of dairy farms in New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), pages 20-38, January.
    3. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107029514, November.
    4. Lin, Boqiang & Liu, Weisheng, 2017. "Estimation of energy substitution effect in China's machinery industry--based on the corrected formula for elasticity of substitution," Energy, Elsevier, vol. 129(C), pages 246-254.
    5. David Roibas & Antonio Alvarez, 2012. "The contribution of genetics to milk composition: evidence from Spain," Agricultural Economics, International Association of Agricultural Economists, vol. 43(2), pages 133-141, March.
    6. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    7. Mubarik Ali & John C. Flinn, 1989. "Profit Efficiency Among Basmati Rice Producers in Pakistan Punjab," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 303-310.
    8. Jose A. Perez‐Mendez & David Roibas & Alan Wall, 2019. "The influence of weather conditions on dairy production," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 165-175, March.
    9. Gershom Endelani Mwalupaso & Shangao Wang & Sanzidur Rahman & Essiagnon John-Philippe Alavo & Xu Tian, 2019. "Agricultural Informatization and Technical Efficiency in Maize Production in Zambia," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    10. Wang, Zhigang & Mao, Yanna & Gale, Fred, 2008. "Chinese consumer demand for food safety attributes in milk products," Food Policy, Elsevier, vol. 33(1), pages 27-36, February.
    11. Kelvin Balcombe & Iain Fraser & Jae Kim, 2006. "Estimating technical efficiency of Australian dairy farms using alternative frontier methodologies," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2221-2236.
    12. M. N. Asadullah & S. Rahman, 2009. "Farm productivity and efficiency in rural Bangladesh: the role of education revisited," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 17-33.
    13. Rafael Cuesta, 2000. "A Production Model With Firm-Specific Temporal Variation in Technical Inefficiency: With Application to Spanish Dairy Farms," Journal of Productivity Analysis, Springer, vol. 13(2), pages 139-158, March.
    14. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    15. Frederic Ang & Alfons Oude Lansink, 2018. "Decomposing dynamic profit inefficiency of Belgian dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 81-99.
    16. Sirak Bahta & Amos Omore & Darek Baker & Iheanacho Okike & Berhanu Gebremedhin & Francis Wanyoike, 2021. "An Analysis of Technical Efficiency in the Presence of Developments Toward Commercialization: Evidence from Tanzania’s Milk Producers," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(3), pages 502-525, June.
    17. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    18. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, March.
    19. Jules Ngango & Seung Gyu Kim, 2019. "Assessment of Technical Efficiency and Its Potential Determinants among Small-Scale Coffee Farmers in Rwanda," Agriculture, MDPI, vol. 9(7), pages 1-12, July.
    20. Schmidt, Peter & Lin, Tsai-Fen, 1984. "Simple tests of alternative specifications in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 24(3), pages 349-361, March.
    21. Asekenye, Cresenia & Bravo-Ureta, Boris E. & Deom, Mike & Kidula, Nelson & Okello, David Kalule & Okoko, Nasambu & Puppala, Naveen, 2016. "Productivity gaps among groundnut farmers in Kenya and Uganda: A stochastic production frontier analysis," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 11(2), pages 1-16.
    22. Asante, Bright Owusu & Villano, Renato A. & Battese, George E., 2014. "The effect of the adoption of yam minisett technology on the technical efficiency of yam farmers in the forest-savanna transition zone of Ghana," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 9(02), pages 1-16, April.
    23. Alvarez, Antonio & Arias, Carlos, 2004. "Technical efficiency and farm size: a conditional analysis," Agricultural Economics, Blackwell, vol. 30(3), pages 241-250, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nguyen, Hoa-Thi-Minh & Do, Huong & Kompas, Tom, 2021. "Economic efficiency versus social equity: The productivity challenge for rice production in a ‘greying’ rural Vietnam," World Development, Elsevier, vol. 148(C).
    2. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    3. Djuraeva, Mukhayyo & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2023. "The impact of agricultural extension type and form on technical efficiency under transition: An empirical assessment of wheat production in Uzbekistan," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 203-221.
    4. Djuraeva, Mukhayo & Babadjanova, Mashkhura & Primov, Abdulla & Egamberdiev, Bekhzod, 2025. "The Impact of Agricultural Extension Services on Female Farmers` Technical Efficiency: Evidence from Crop Producer Women in Uzbekistan," EconStor Preprints 312435, ZBW - Leibniz Information Centre for Economics.
    5. Markose Chekol Zewdie & Michele Moretti & Daregot Berihun Tenessa & Zemen Ayalew Ayele & Jan Nyssen & Enyew Adgo Tsegaye & Amare Sewnet Minale & Steven Van Passel, 2021. "Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach," Land, MDPI, vol. 10(3), pages 1-17, March.
    6. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    7. Nicola Galluzzo, 2021. "Estimation of the impact of CAP subsidies as environmental variables on Romanian farms," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-24.
    8. Narangerel Ganbold & Shah Fahad & Hua Li & Tumendemberel Gungaa, 2022. "An evaluation of subsidy policy impacts, transient and persistent technical efficiency: A case of Mongolia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9223-9242, July.
    9. del Corral, J. & Pérez, J.A. & Roibás, D., 2010. "The impact of land fragmentation on milk production," Efficiency Series Papers 2010/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Danuse Nerudova & Marian Dobranschi, 2019. "Alternative method to measure the VAT gap in the EU: Stochastic tax frontier model approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-38, January.
    11. Nchinda, Valentine P. & Villano, Renato A. & Hadley, David & Morales, Emilio L., 2016. "Performance of smallholder minisett seed yam farm enterprises in Cameroon," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 11(4), pages 1-15, December.
    12. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    13. Muratbek Baglan & Gershom Endelani Mwalupaso & Xue Zhou & Xianhui Geng, 2020. "Towards Cleaner Production: Certified Seed Adoption and Its Effect on Technical Efficiency," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    14. Galluzzo Nicola, 2020. "A Technical Efficiency Analysis of Financial Subsidies Allocated by the Cap in Romanian Farms Using Stochastic Frontier Analysis," European Countryside, Sciendo, vol. 12(4), pages 494-505, December.
    15. Jolex, Aubrey, . "Influence of agricultural extension services on technical efficiency of maize farmers in Malawi," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(01).
    16. Giannis Karagiannis, 2005. "Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(1), pages 51-74, March.
    17. Mulugeta Y. Birhanu & Tesfahun Alemayehu & Jasmine E. Bruno & Fasil Getachew Kebede & Emmanuel Babafunso Sonaiya & Ezekiel H. Goromela & Oladeji Bamidele & Tadelle Dessie, 2021. "Technical Efficiency of Traditional Village Chicken Production in Africa: Entry Points for Sustainable Transformation and Improved Livelihood," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    18. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    19. Susaeta, Andres & Sancewich, Brian & Klizentyte, Kotryna & Soto, Jose & Joshi, Omkar, 2024. "Profit efficiency in the provision of ecosystem services in the Cross Timbers forests," Land Use Policy, Elsevier, vol. 136(C).
    20. Antony Andrews & Omphile Temoso & Sean Kimpton, 2021. "Persistent and Transient Inefficiency of Australian States and Territories in Providing Public Hospital Services: An Application of Bayesian Stochastic Finite Mixture Frontier Analysis," Economic Papers, The Economic Society of Australia, vol. 40(2), pages 104-115, June.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaae23:365968. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaaeaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.