IDEAS home Printed from https://ideas.repec.org/p/ags/cfcp15/344343.html
   My bibliography  Save this paper

Cooperative membership and technical efficiency of smallholder dairy carbon farmers in Kenya

Author

Listed:
  • Mantey, Vida
  • Bosch, Christine
  • Missiame, Arnold
  • Birner, Regina
  • Birkenberg, Athena
  • Yameogo, Viviane Guesbeogo
  • Mburu, John

Abstract

Dairy production is an important contributor to food security and poverty reduction, but it is also a major source of greenhouse gas (GHG) emissions. The development of smallholder agricultural carbon projects, such as the Mt. Elgon project, provides an opportunity for farmers to receive benefits for adopting sustainable practices that not only potentially increase farm productivity but also reduce GHG emissions. While there is growing evidence that agricultural cooperatives in conventional development projects improve the adoption of agricultural technologies and the economic performance of smallholder farms, there is a research gap on the role that dairy cooperatives can play in smallholder agricultural carbon projects. This study examines the role of dairy cooperatives in smallholder agricultural carbon projects and assesses the impact of cooperative membership on the technical efficiency of smallholder dairy carbon farmers in Western Kenya. The study used a mixed methods approach. A participatory and visual mapping tool, Net-Map, was used to identify key actors and their linkages. Stochastic frontier and endogenous switching regression models were used to estimate technical efficiency and assess the impact of cooperative membership on the technical efficiency of smallholder dairy carbon farmers, respectively. The results show that dairy cooperatives in carbon projects play an important role in project design and implementation, as well as in carbon monitoring and reporting. On average, smallholder farmers are 35.3 percent technically efficient, and cooperative members have lower technical efficiency than non-members. This finding can be attributed to the way these dairy cooperatives were set up and the fact that some farmers joined the cooperatives to participate in the project. Furthermore, an average treatment effect on the treated (ATT) and an average treatment effect on the untreated (ATU) of 0.311 and 0.251 respectively was observed. In general, the study concludes that without critical sources of heterogeneity, dairy cooperatives can support smallholder carbon farmers not only to improve their efficiency but also to promote sustainable dairy farming.

Suggested Citation

  • Mantey, Vida & Bosch, Christine & Missiame, Arnold & Birner, Regina & Birkenberg, Athena & Yameogo, Viviane Guesbeogo & Mburu, John, 2024. "Cooperative membership and technical efficiency of smallholder dairy carbon farmers in Kenya," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344343, International Association of Agricultural Economists (IAAE).
    • Handle: RePEc:ags:cfcp15:344343
    DOI: 10.22004/ag.econ.344343
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/344343/files/21951.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.344343?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. Ma, Wanglin & Renwick, Alan & Yuan, Peng & Ratna, Nazmun, 2018. "Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias," Food Policy, Elsevier, vol. 81(C), pages 122-132.
    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. Yubo Liao & Bangbang Zhang & Xiangbin Kong & Liangyou Wen & Dongheng Yao & Yuxuan Dang & Wenguang Chen, 2022. "A Cooperative-Dominated Model of Conservation Tillage to Mitigate Soil Degradation on Cultivated Land and Its Effectiveness Evaluation," Land, MDPI, vol. 11(8), pages 1-19, August.
    2. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Muhammad Ihtisham & Badar Naseem Siddiqui & Shemei Zhang, 2022. "Can Cooperative Supports and Adoption of Improved Technologies Help Increase Agricultural Income? Evidence from a Recent Study," Land, MDPI, vol. 11(3), pages 1-18, March.
    3. Chao Zhang & Ruifa Hu, 2022. "Adoption of Direct Seeding, Yield and Fertilizer Use in Rice Production: Empirical Evidence from China," Agriculture, MDPI, vol. 12(9), pages 1-15, September.
    4. Mingze Wu & Yueji Zhu, 2023. "Does Farmers’ Lottery Participation Affect Technical Efficiency of Banana Production in Rural China?," Agriculture, MDPI, vol. 13(4), pages 1-17, March.
    5. Ngango, Jules & Hong, Seungjee, 2021. "Impacts of land tenure security on yield and technical efficiency of maize farmers in Rwanda," Land Use Policy, Elsevier, vol. 107(C).
    6. Zou, Baoling & Mishra, Ashok K., 2024. "Modernizing Smallholder Agriculture and Achieving Food Security: An Exploration in Machinery Services and Labor Reallocation in China," IZA Discussion Papers 17008, Institute of Labor Economics (IZA).
    7. Ziqi Yin & Jianzhai Wu, 2021. "Spatial Dependence Evaluation of Agricultural Technical Efficiency—Based on the Stochastic Frontier and Spatial Econometric Model," Sustainability, MDPI, vol. 13(5), pages 1-12, March.
    8. Hao Xu & Peilin Wang & Kai Ding, 2024. "Transforming Agriculture: Empirical Insights into How the Digital Economy Elevates Agricultural Productivity in China," Sustainability, MDPI, vol. 16(23), pages 1-20, November.
    9. Zheng, Hongyun & Ma, Wanglin & Wang, Fang & Li, Gucheng, 2021. "Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis," Food Policy, Elsevier, vol. 102(C).
    10. Tanushree Haldar & A. Damodaran, 2022. "Can cooperatives influence farmer’s decision to adopt organic farming? Agri-decision making under price volatility," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5718-5742, April.
    11. Fang Wu & Xibao Guo & Xia Guo, 2023. "Cooperative membership and new technology adoption of family farms: Evidence from China," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 719-739, September.
    12. Wanglin Ma & Sanghyun Hong & W. Robert Reed & Jianhua Duan & Phong Luu, 2023. "Yield effects of agricultural cooperative membership in developing countries: A meta‐analysis," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 761-780, September.
    13. Menglu Li & Shemei Zhang & Nawab Khan, 2024. "Do farmers' professional cooperatives improve agricultural technical efficiency? Evidence using a national‐level dataset of China," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 95(2), pages 363-383, June.
    14. Ruopin Qu & Yongchang Wu & Jing Chen & Glyn D. Jones & Wenjing Li & Shan Jin & Qian Chang & Yiying Cao & Guijun Yang & Zhenhong Li & Lynn J. Frewer, 2020. "Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis," Sustainability, MDPI, vol. 12(19), pages 1-13, October.
    15. Athukorala, Wasantha & Lee, Boon L. & Wilson, Clevo & Fujii, Hidemichi & Managi, Shunsuke, 2023. "Measuring the impact of pesticide exposure on farmers’ health and farm productivity," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 851-862.
    16. Zhang, Hepei & Ma, Wanglin & Li, Junpeng & Yang, Wei, 2023. "Can citrus farmers earn more from selling online?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1549-1560.
    17. Carrer, Marcelo José & Filho, Hildo Meirelles de Souza & Vinholis, Marcela de Mello Brandão & Mozambani, Carlos Ivan, 2022. "Precision agriculture adoption and technical efficiency: An analysis of sugarcane farms in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    18. Yun Shen & Jinmin Wang & Luyao Wang & Bin Wu & Xuelan Ye & Yang Han & Rui Wang & Abbas Ali Chandio, 2022. "How Do Cooperatives Alleviate Poverty of Farmers? Evidence from Rural China," Land, MDPI, vol. 11(10), pages 1-23, October.
    19. Yu Sun & Ye Deng & Yonghua Lu & Mingyue Li, 2022. "Competitiveness and sustainable development of Chinableapple industry," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-18, June.
    20. Li, Xinyi & Ito, Junichi, 2023. "Determinants of technical efficiency and farmers’ crop choice rationality: A case study of rural Gansu, China," Journal of Asian Economics, Elsevier, vol. 84(C).

    More about this item

    Keywords

    Livestock Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cfcp15:344343. 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://iaae-agecon.org/ .

    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.