[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/chi/journl/v2y2013i2p83-96.html
   My bibliography  Save this article

An analysis of operational efficiency and optimal development for agricultural cooperatives in Chiang Mai

Author

Listed:
  • Montri Singhavara

    (Maejo University)

  • Nisachon Leerattanakorn

    (Maejo University)

  • Aree Cheamuangphan

    (Maejo University)

  • Kamontip Panyasit

    (Chiang Mai Rajabhat University)

Abstract
By employing the Malmquist productivity index, Data Envelope Analysis (DEA) and super-efficiency DEA, this study attempts to analyze the total factor productivity change, find out the optimal size of business and some policy implications are suggested in order to improve efficiency of agricultural cooperatives in Chiang Mai province, Thailand. The results represent that after adopting information technology (Technological change), total productivity change has improved however pure technical efficiency change and scale efficiency change still continue in downward trend. From 55 agricultural cooperatives, there are 19 units (34%) having pure technical efficiency and 18 units of them are extreme efficient DMUs. Moreover 9 agricultural cooperatives (17%) have assets worth approximate 40.69 billion baht and have constant return to scale. The optimal membership and the proper volume of debt are important notices for administrators considering for improving business efficiency.

Suggested Citation

  • Montri Singhavara & Nisachon Leerattanakorn & Aree Cheamuangphan & Kamontip Panyasit, 2013. "An analysis of operational efficiency and optimal development for agricultural cooperatives in Chiang Mai," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(2), pages 83-96, June.
    • Handle: RePEc:chi:journl:v:2:y:2013:i:2:p:83-96
    as

    Download full text from publisher

    File URL: http://www.jyoungeconomist.com/images/stories/07_EEQEL_V2_N2_June_2013_Singhavara_pp_83_96.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    3. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. 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.
    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. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
    3. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    4. Cristian Barra & Roberto Zotti, 2016. "Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(1), pages 11-33, February.
    5. Carlos Pestana Barros & Gaël Bertrand & Laurent Botti & Scott Tainsky, 2014. "Cost efficiency of French rugby clubs," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2721-2732, August.
    6. Md Ali & K. Klein, 2014. "Water Use Efficiency and Productivity of the Irrigation Districts in Southern Alberta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2751-2766, August.
    7. Carlos Rosano-Peña & João Vitor Borges Silva & André Luiz Marques Serrano & José Eustáquio Ribeiro Vieira Filho & Herbert Kimura, 2022. "Eco-Efficiency of Agriculture in the Amazon Biome: Robust Indices and Determinants," World, MDPI, vol. 3(4), pages 1-19, September.
    8. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    9. Suárez-Alemán, Ancor & Morales Sarriera, Javier & Serebrisky, Tomás & Trujillo, Lourdes, 2016. "When it comes to container port efficiency, are all developing regions equal?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 56-77.
    10. Holvad, Torben, 2020. "Efficiency analyses for the railway sector: An overview of key issues," Research in Transportation Economics, Elsevier, vol. 82(C).
    11. Isabel Narbón-Perpiñá & Kristof De Witte, 2016. "Local governments’ efficiency: A systematic literature review – Part I," Working Papers 2016/20, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. repec:lan:wpaper:1031 is not listed on IDEAS
    13. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
    14. Kao, Chiang & Liu, Shiang-Tai, 2009. "Stochastic data envelopment analysis in measuring the efficiency of Taiwan commercial banks," European Journal of Operational Research, Elsevier, vol. 196(1), pages 312-322, July.
    15. Suárez-Alemán, Ancor & Morales Sarriera, Javier & Serebrisky, Tomás & Trujillo, Lourdes, 2016. "When it comes to container port efficiency, are all developing regions equal?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 56-77.
    16. E Thanassoulis & M Kortelainen & G Johnes & J Johnes, 2011. "Costs and efficiency of higher education institutions in England: a DEA analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1282-1297, July.
    17. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    18. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
    19. repec:lan:wpaper:1046 is not listed on IDEAS
    20. Raul Moragues & Juan Aparicio & Miriam Esteve, 2023. "Ranking the Importance of Variables in a Nonparametric Frontier Analysis Using Unsupervised Machine Learning Techniques," Mathematics, MDPI, vol. 11(11), pages 1-24, June.
    21. Olesen, Ole B. & Petersen, Niels Christian, 2016. "Stochastic Data Envelopment Analysis—A review," European Journal of Operational Research, Elsevier, vol. 251(1), pages 2-21.
    22. repec:lan:wpaper:1109 is not listed on IDEAS
    23. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.

    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:chi:journl:v:2:y:2013:i:2:p:83-96. 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: Komsan Suriya (email available below). General contact details of provider: https://edirc.repec.org/data/fecmuth.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.