IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/24814.html
   My bibliography  Save this paper

The Determinants Of the Technical Efficiency of Cotton Farmers in Northern Cameroon

Author

Listed:
  • Neba, Cletus
  • Ngassam, Sylvain
  • Nzomo, Joseph

Abstract

This paper, seeks to evaluate the technical efficiency of cotton farms in the northern part of Cameroon through the use of a parametric production frontier. The evaluation approach used is a stochastic type which shows that in spite of the fact that cotton yields in Cameroon are amongst the highest in sub-Saharan Africa, efficiency indexes are still as low as 60% in average. Having had a diagnosis overview aimed at identifying the determinant of technical efficiency with the use of a regression function, the main findings show that the characteristics of the producer as well as environmental factors all influence technical efficiency.

Suggested Citation

  • Neba, Cletus & Ngassam, Sylvain & Nzomo, Joseph, 2010. "The Determinants Of the Technical Efficiency of Cotton Farmers in Northern Cameroon," MPRA Paper 24814, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:24814
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/24814/1/MPRA_paper_24814.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. Tara McIndoe-Calder, 2011. "Network Effects and Land Redistribution: A Natural Experiment in Zimbabwe," The Institute for International Integration Studies Discussion Paper Series iiisdp352, IIIS.
    2. Nodjitigje DJIMASRA, 2010. "Mesure de l'efficacité technique des pays africains producteurs du coton : une application de la méthode Data Envelopment Analysis (DEA)," LEO Working Papers / DR LEO 1207, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.

    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. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    2. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    3. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    4. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    5. Ligia Alba Melo-Becerra & Luis E. Arango & Oscar Iván Ávila-Montealegre & Jhorland Ayala-García & Leonardo Bonilla-Mejía & Jesús Alonso Botero-García & Carolina Crispin-Fory & Manuela Cardona & Daniel, 2023. "Aspectos financieros y fiscales del sistema de salud en Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 106, pages 1-92, October.
    6. Khanal, Aditya & Koirala, Krishna & Regmi, Madhav, 2016. "Do Financial Constraints Affect Production Efficiency in Drought Prone Areas? A Case from Indonesian Rice Growers," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230087, Southern Agricultural Economics Association.
    7. Firna Varina & Sri Hartoyo & Nunung Kusnadi & Amzul Rifin, 2020. "The Determinants of Technical Efficiency of Oil Palm Smallholders in Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 89-93.
    8. Victor Moutinho & Mara Madaleno, 2021. "Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis," Energies, MDPI, vol. 14(4), pages 1-17, February.
    9. Mohammed, Rezgar & Saghaian, Sayed, 2014. "Technical Efficiency Estimation of Rice Production in South Korea," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162231, Southern Agricultural Economics Association.
    10. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    11. Stephen M. Miller & Terrence M. Clauretie & Thomas M. Springer, 2006. "Economies Of Scale And Cost Efficiencies: A Panel‐Data Stochastic‐Frontier Analysis Of Real Estate Investment Trusts," Manchester School, University of Manchester, vol. 74(4), pages 483-499, July.
    12. Fabiana Rocha & Igor Viveiros Souza, 2007. "Reajuste De Preços Na Indústria Farmacêutica Brasileira E O Fator X: Uma Avaliação Usando O Método De Fronteiras Estocásticas," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 041, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    13. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    14. Jia Li & Yahong Zheng & Bing Liu & Yanyi Chen & Zhihang Zhong & Chenyu Dong & Chaoqun Wang, 2024. "The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China," Sustainability, MDPI, vol. 16(7), pages 1-21, March.
    15. 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.
    16. Martin Paul Jr. Tabe-Ojong & Ernest L. Molua, 2017. "Technical Efficiency of Smallholder Tomato Production in Semi-Urban Farms in Cameroon: A Stochastic Frontier Production Approach," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 7(4), pages 27-35, December.
    17. Margarita Genius & Spiro Stefanou & Vangelis Tzouvelekas, 2009. "Productivity Growth and Efficiency under Leontief Technology: An Application to US Steam-Electric Power Generation Utilities," Working Papers 0913, University of Crete, Department of Economics.
    18. Inyoung Park & Jieon Lee & Jungwoo Nam & Yuri Jo & Daeho Lee, 2022. "Which networking strategy improves ICT startup companies' technical efficiency?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2434-2443, September.
    19. Mukherjee, Sacchidananda & Jadhav, Vivek & Badola, Shivani, 2024. "Revenue Potential of Passenger and Goods Tax (PGT) across Indian States," Working Papers 24/416, National Institute of Public Finance and Policy.
    20. Gisella ARAGÓN & José Luis BONIFAZ, 2013. "The water and sanitation service provision in Peru," CIRIEC Working Papers 1306, CIRIEC - Université de Liège.

    More about this item

    Keywords

    technical efficiency; cotton farms; northern Cameroon;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

    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:pra:mprapa:24814. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.