IDEAS home Printed from https://ideas.repec.org/a/ags/ijaeri/333372.html
   My bibliography  Save this article

Analysis Of Farmers’ Business School Participation On Cocoa Productivity In Ondo State, Nigeria

Author

Listed:
  • R. S. Owoeye
  • A. B. Sekumade
  • Didunyemi Adekunle John
  • M. J. Falade

Abstract

Various models and approaches are being implemented to provide technical assistance and support to improve cocoa productivity in Ondo State of Nigeria. This study compared Farmers’ Business School (FBS) participation and non- participation on cocoa farmer’s productivity. The study specifically described the socio-economic characteristics of the farmers, examined factors determining participation in (FBS) among cocoa farmers, estimated cost and returns of the two categories and determined the technical efficiency of cocoa production for both participants and non-participants. Multi-stage sampling technique was used to obtain data from 90 cocoa farmers that were selected from three Local Government Areas in Ondo State based on their participation and non-participation in (FBS). Descriptive Analysis, Gross Margin, Logit model and stochastic frontier production function were used to analyse the data. Result from descriptive analysis revealed that the mean age of the respondent was 54.2 years. Majority of the respondent (48.9%) attained secondary education and above. It also showed that 38.9% had above 6 members to make up the household in the study area. Findings also revealed that 33.3% had an average annual income above ₦1.000,000. The result further showed that majority of the respondent produced on a medium scale with average cocoa farm size of 3.5 hectares and the farmers were well experienced. The result on gross margin analysis shows that the total revenue, gross margin and profit for participants in (FBS) were ₦678,601.3, ₦402447.2 and ₦324458.3 respectively. On the other hand, the total revenue, gross margin and profit for the non- participants of (FBS) were ₦345,217.8, ₦231,084.5 and ₦193,795.6 respectively. This figure implies that participants in (FBS) were far better than non- participants in terms of gross margin, total revenue and profit. Result of the logit regression showed that gender, age, educational level, and membership of co-operative society were found to be statistically significant. This implies that these variables greatly influenced the decision of the cocoa farmers in the study area to either participate in (FBS) or not. Result from the stochastic frontier production function revealed that family labour, hired labour, pesticides, area of land and amount of fertilizer were statistically significant meaning those variables determined the technical efficiency of the cocoa farmers in the study area while age, frequency of extension contact, household size and member of cooperative greatly influenced the technical inefficiency in the study area.

Suggested Citation

  • R. S. Owoeye & A. B. Sekumade & Didunyemi Adekunle John & M. J. Falade, 2022. "Analysis Of Farmers’ Business School Participation On Cocoa Productivity In Ondo State, Nigeria," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 8(6), December.
    • Handle: RePEc:ags:ijaeri:333372
    DOI: 10.22004/ag.econ.333372
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/333372/files/ijaer_08__53.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.333372?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. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    2. Birkhaeuser, Dean & Evenson, Robert E & Feder, Gershon, 1991. "The Economic Impact of Agricultural Extension: A Review," Economic Development and Cultural Change, University of Chicago Press, vol. 39(3), pages 607-650, April.
    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. Mamiya Binte Ahsan & Guo Leifeng & Fardous Mohammad Safiul Azam & Beibei Xu & Shah Johir Rayhan & Abdul Kaium & Wang Wensheng, 2022. "Barriers, Challenges, and Requirements for ICT Usage among Sub-Assistant Agricultural Officers in Bangladesh: Toward Sustainability in Agriculture," Sustainability, MDPI, vol. 15(1), pages 1-27, December.
    2. Läpple, Doris & Rensburg, Tom Van, 2011. "Adoption of organic farming: Are there differences between early and late adoption?," Ecological Economics, Elsevier, vol. 70(7), pages 1406-1414, May.
    3. Wallace HUFFMAN, 1996. "Farm Labor: Key Conceptual And Measurement Issues On The Route To Better Farm Cost And Return Estimates," Staff Papers 280, Iowa State University Department of Economics.
    4. Luc Christiaensen & Patrick Premand, 2017. "Cote d'Ivoire Jobs Diagnostic," World Bank Publications - Reports 26384, The World Bank Group.
    5. Norris, Patricia E. & Batie, Sandra S., 1987. "Virginia Farmers' Soil Conservation Decisions: An Application Of Tobit Analysis," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(1), pages 1-12, July.
    6. Niu, Chiyu & Ragasa, Catherine, 2018. "Selective attention and information loss in the lab-to-farm knowledge chain: The case of Malawian agricultural extension programs," Agricultural Systems, Elsevier, vol. 165(C), pages 147-163.
    7. Fernando Lopez & Alessandro Maffioli, 2008. "Technology Adoption, Productivity and Specialization of Uruguayan Breeders: Evidence from an Impact Evaluation," OVE Working Papers 0708, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    8. Ralph Rotte & Christoph Schmidt, 2003. "On the production of victory: Empirical determinants of battlefield success in modern war," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(3), pages 175-192.
    9. Bravo-Ureta, Boris E. & Pinheiro, António E., 1993. "Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(1), pages 88-101, April.
    10. Iryna Y. Johnson, 2019. "Destinations of Admitted Out-of-State Students: A Case of One Institution," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(3), pages 315-337, May.
    11. Gershon Feder & Rinku Murgai & Jaime B. Quizon, 2004. "Sending Farmers Back to School: The Impact of Farmer Field Schools in Indonesia," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 26(1), pages 45-62.
    12. Frank M. Fossen, 2007. "Risky Earnings, Taxation and Entrepreneurial Choice: A Microeconometric Model for Germany," Discussion Papers of DIW Berlin 705, DIW Berlin, German Institute for Economic Research.
    13. Richard D. Bingham & John S. Heywood & Sammis B. White, 1991. "Evaluating Schools and Teachers Based On Student Performance," Evaluation Review, , vol. 15(2), pages 191-218, April.
    14. Schuck, Eric C. & Green, Gareth P., 2002. "Farm Level Irrigation Technology Decisions Over Time," 2002 Annual meeting, July 28-31, Long Beach, CA 19632, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Patrick Rondé & Caroline Hussler, 2006. "Biais cognitifs et choix technologiques : une analyse des priorités des experts français," Économie et Prévision, Programme National Persée, vol. 175(4), pages 65-77.
    16. Authors Femi Michael Oluwatusin, 2014. "The Perception of and Adaptation to Climate Change among Cocoa Farm Households in Ondo State, Nigeria," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 3, March.
    17. Cassey Lee & Lee Chew ging, 2007. "SME Innovation in the Malaysian Manufacturing Sector," Economics Bulletin, AccessEcon, vol. 12(30), pages 1-12.
    18. Zeng‐Hua Lu & Alec Zuo, 2010. "Effects Of A Child'S Disability On Affected Female'S Labour Supply In Australia," Australian Economic Papers, Wiley Blackwell, vol. 49(3), pages 222-240, September.
    19. Victoria Savalei, 2006. "Logistic Approximation to the Normal: The KL Rationale," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 763-767, December.
    20. Young, Katherine D. & Shumway, C. Richard, 1991. "Cow-Calf Producers' Perceived Profit Maximization Objective: A Logit Analysis," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 23(1), pages 1-8, July.

    More about this item

    Keywords

    Agribusiness;

    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:ijaeri:333372. 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: http://ijaer.in/ .

    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.