IDEAS home Printed from https://ideas.repec.org/a/ags/afjare/252458.html
   My bibliography  Save this article

Performance of smallholder minisett seed yam farm enterprises in Cameroon

Author

Listed:
  • Nchinda, Valentine P.
  • Villano, Renato A.
  • Hadley, David
  • Morales, Emilio L.

Abstract

Access to quality seed yam is a major constraint to yam production in Cameroon. This study evaluated the performance of farm enterprises engaged in seed yam (minisett) production as a source of quality planting material for yam-growing communities. Using cross-sectional data from 131 smallholder seed yam farm enterprises, a translog stochastic production function with inefficiency effects model was estimated. The results show a wide variation in estimated technical efficiency, with an average score of 62%. Access to markets, number of extension visits, expected price of mature tubers, cropping system and training positively and significantly increase the technical efficiency of seed yam production. Our results highlight the importance of technical support and extension services, of improving access to markets and of pricing in order to enhance the productivity of smallholder seed yam farmers in developing countries.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:afjare:252458
    DOI: 10.22004/ag.econ.252458
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/252458/files/3.%20Nchinda%20et%20al.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.252458?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. Donkor, Emmanuel & Owusu, Victor, 2014. "Effects of land tenure systems on resource-use productivity and efficiency in Ghana’s rice industry," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 9(4), pages 1-14, December.
    2. Okeke, Daniel C. & Okeke, Charity C. & Udeora, Samuel N., 2013. "Socio-Economic Determinants of Seed Yam Production in Oyi Local Government Area of Anambra State," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 3(03), pages 1-6, March.
    3. Nmadu, Job N. & Simpa, James O., 2014. "RETHINKING THE TECHNICAL EFFICIENCY OF SMALL SCALE YAM FARMERS IN NIGERIA USING CONVENTIONAL AND NON-CONVENTIONAL INEFFICIENCY PARAMETERS(Powerpoint)," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165865, Australian Agricultural and Resource Economics Society.
    4. 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.
    5. Hailu, Getu & Weersink, Alfons & Minten, Bart J., 2015. "Rural Organizations, Agricultural Technologies and Production Efficiency of Teff in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211702, International Association of Agricultural Economists.
    6. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    7. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    8. Ogundari, K. & Brümmer, Bernhard, 2011. "Estimating Technical Efficiency, Input substitution and complementary effects using Output Distance Function: A study of Cassava production in Nigeria," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(2).
    9. Renato Villano & Euan Fleming, 2006. "Technical Inefficiency and Production Risk in Rice Farming: Evidence from Central Luzon Philippines," Asian Economic Journal, East Asian Economic Association, vol. 20(1), pages 29-46, March.
    10. 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, October.
    11. Nmadu, Job N. & Simpa, James O., 2014. "Rethinking The Technical Efficiency Of Small Scale Yam Farmers In Nigeria Using Conventional And Non-Conventional Inefficiency Parameters," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165866, Australian Agricultural and Resource Economics Society.
    12. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    13. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    14. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    15. Arne Henningsen & Christian Henning, 2009. "Imposing regional monotonicity on translog stochastic production frontiers with a simple three-step procedure," Journal of Productivity Analysis, Springer, vol. 32(3), pages 217-229, December.
    16. 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.
    17. Okeke Daniel, C. & Okeke Charity C. & Udeora Samuel N., 2013. "Socio-Economic Determinants of Seed Yam Production in Oyi Local Government Area of Anambra State," Asian Journal of Agriculture and rural Development, Asian Economic and Social Society, vol. 3(3), pages 148-153, March.
    18. 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.
    19. 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.
    20. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, October.
    21. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jenifer Piesse & Beatrice Conradie & Colin Thirtle & Nick Vink, 2018. "Efficiency in wine grape production: comparing long†established and newly developed regions of South Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 203-212, March.

    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. Ajayi, Victor & Weyman-Jones, Tom, 2021. "State-level electricity generation efficiency: Do restructuring and regulatory institutions matter in the US?," Energy Economics, Elsevier, vol. 104(C).
    2. Arbelo-Pérez, Marta & Arbelo, Antonio & Pérez-Gómez, Pilar, 2017. "Impact of quality on estimations of hotel efficiency," Tourism Management, Elsevier, vol. 61(C), pages 200-208.
    3. Efecan, Volkan & Temiz, İzzettin, 2023. "Assessing the technical efficiency of container ports based on a non-monotonic inefficiency effects model," Utilities Policy, Elsevier, vol. 81(C).
    4. Larson, Donald F. & Plessmann, Frank, 2009. "Do farmers choose to be inefficient? Evidence from Bicol," Journal of Development Economics, Elsevier, vol. 90(1), pages 24-32, September.
    5. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    6. Feitosa, Débora Gaspar & Araujo, Jair Andrade & Silva, Almir Bittencourt da, 2014. "Latin America: Total factor productivity and its components," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    7. 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.
    8. 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.
    9. 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.
    10. Edward Ebo ONUMAH & Bernhard BRÜMMER & Gabriele HÖRSTGEN-SCHWARK, 2010. "Productivity of the hired and family labour and determinants of technical inefficiency in Ghana's fish farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(2), pages 79-88.
    11. Sebastian Lakner & Thelma Brenes‐Muñoz & Bernhard Brümmer, 2017. "Technical Efficiency in Chilean Agribusiness Industry: A Metafrontier Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 33(3), pages 302-323, June.
    12. 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).
    13. Manlagnit, Maria Chelo V., 2015. "Basel regulations and banks’ efficiency: The case of the Philippines," Journal of Asian Economics, Elsevier, vol. 39(C), pages 72-85.
    14. Luigi Brighi & Paolo Silvestri, 2019. "Inefficiency in Childcare Production: Evidence from Italian Microdata," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 5(1), pages 103-133, March.
    15. Roberto MOSHEIM, 2008. "Efficiency And Survival: The Impact Of The International Coffee Agreement'S Demise On Costa Rica'S Cooperative Coffee Processing, 1988–2005," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 79(1), pages 79-106, March.
    16. Bernhard Brümmer & Jens‐Peter Loy, 2000. "The Technical Efficiency Impact of Farm Credit Programmes: A Case Study of Northern Germany," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(3), pages 405-418, September.
    17. Francisca Pacheco & Rafael Sánchez & Mauricio G. Villena, 2021. "Estimating local government efficiency using a panel data parametric approach: the case of Chilean municipalities," Applied Economics, Taylor & Francis Journals, vol. 53(3), pages 292-314, January.
    18. Salem Gheit, 2022. "A Stochastic Frontier Analysis of the Human Capital Effects on the Manufacturing Industries’ Technical Efficiency in the United States," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 8(3), pages 215-238, July.
    19. Lazović-Pita Lejla & Šćeta Lamija, 2021. "A Stochastic Frontier Approach to Measuring Inefficiency of Local Communities in Bosnia and Herzegovina," South East European Journal of Economics and Business, Sciendo, vol. 16(1), pages 18-29, June.
    20. 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.

    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:afjare:252458. 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.