IDEAS home Printed from https://ideas.repec.org/a/eme/afrpps/v74y2014i1p38-54.html
   My bibliography  Save this article

Measuring the efficiency of the Farm Credit System

Author

Listed:
  • Trang Dang
  • David Leatham
  • Bruce A. McCarl
  • Ximing Wu

Abstract

Purpose - – The purpose of this paper is to develop information on the relative efficiency of Farm Credit System (FCS) lenders. Also the evolution of relative efficiency is examined as influenced by the biofuel boom, the financial crisis, and farm income increases. The paper aims to discuss these issues. Design/methodology/approach - – A stochastic frontier production function is used to estimate technical efficiency of FCS banks and associations. Findings - – A significant difference is found in efficiency between large and small associations and banks. Larger asset bases and management compensation are found to be positively associated with efficiency. Banks are found to have higher technical efficiency than associations (66-46 percent). Association efficiency is found to be increasing indicating likely effects of recent consolidation. The financial crisis was not found to have a significant effect with the bioenergy and farm income booms being likely countervailing forces. Research limitations/implications - – Further work is needed on the impact of the biofuel boom, increases in farm income, and new regulations. Practical implications - – The study provides information and indications of strategies for FCS management including additional consolidation. Originality/value - – This does an updated assessment of FCS efficiency taking into account changes in consolidation, lending practices, and economic conditions. Implications are developed for management actions such as more consolidation. The study also uses a more advanced methodology compared to older studies.

Suggested Citation

  • Trang Dang & David Leatham & Bruce A. McCarl & Ximing Wu, 2014. "Measuring the efficiency of the Farm Credit System," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 74(1), pages 38-54, April.
    • Handle: RePEc:eme:afrpps:v:74:y:2014:i:1:p:38-54
    DOI: 10.1108/AFR-12-2011-0035
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/AFR-12-2011-0035/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1108/AFR-12-2011-0035/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1108/AFR-12-2011-0035?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Abhiman Das & K. R. Sanmugam, 2004. "Efficiency of Indian commercial banks during the reform period," Industrial Organization 0410005, University Library of Munich, Germany.
    2. 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)

    Citations

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


    Cited by:

    1. Gregory McKee & Albert Kagan, 2019. "The differential impact of the Dodd–Frank Act on niche non-metro lenders," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(4), pages 291-301, December.
    2. Song, Minrong & Escalante, Cesar L., 2014. "Pre- and Post- Recession Input Allocation Decisions of Farm Credit System Lending Units," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170080, Agricultural and Applied Economics Association.

    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. K. Ravirajan & K.R. Shanmugam, 2021. "Efficiency of commercial banks in India after global financial crises," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(628), A), pages 65-82, Autumn.
    2. Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    3. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    4. Faraji Dizaji , Sajjad, 2013. "Financial Sanctions and Iranian Banks' Performance," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 8(4), pages 99-136, October.
    5. Shakil Quayes & Baqui Khalily, 2013. "Efficiency of Microfinance Institutions in Bangladesh," Working Papers 19, Institute of Microfinance (InM).
    6. Jaffry, Shabbar & Ghulam, Yaseen & Cox, Joe, 2008. "Labour use efficiency in the Indian and Pakistani commercial banks," Journal of Asian Economics, Elsevier, vol. 19(3), pages 259-293, June.
    7. Margono, Heru & Sharma, Subhash C. & Melvin II, Paul D., 2010. "Cost efficiency, economies of scale, technological progress and productivity in Indonesian banks," Journal of Asian Economics, Elsevier, vol. 21(1), pages 53-65, February.
    8. Manlagñit, Maria Chelo V., 2011. "Cost efficiency, determinants, and risk preferences in banking: A case of stochastic frontier analysis in the Philippines," Journal of Asian Economics, Elsevier, vol. 22(1), pages 23-35, February.
    9. Sensarma, Rudra, 2006. "Are foreign banks always the best? Comparison of state-owned, private and foreign banks in India," Economic Modelling, Elsevier, vol. 23(4), pages 717-735, July.
    10. Jaffry, Shabbar & Ghulam, Yaseen & Cox, Joe, 2013. "Trends in efficiency in response to regulatory reforms: The case of Indian and Pakistani commercial banks," European Journal of Operational Research, Elsevier, vol. 226(1), pages 122-131.
    11. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    12. Hasan, Iftekhar & Lozano-Vivas, Ana, 2002. "Organizational Form and Expense Preference: Spanish Experience," Bulletin of Economic Research, Wiley Blackwell, vol. 54(2), pages 135-150, April.
    13. 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.
    14. Subhash C. Ray, 2004. "A Simple Statistical Test of Violation of the Weak Axiom of Cost Minimization," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 111-121, January.
    15. Raushan Bokusheva & Lukáš Čechura & Subal C. Kumbhakar, 2023. "Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 450-472, June.
    16. Soedarmono, Wahyoe & Machrouh, Fouad & Tarazi, Amine, 2013. "Bank competition, crisis and risk taking: Evidence from emerging markets in Asia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 196-221.
    17. 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.
    18. 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.
    19. 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.
    20. Wu, Yanrui, 1995. "The productive efficiency of Chinese iron and steel firms A stochastic frontier analysis," Resources Policy, Elsevier, vol. 21(3), pages 215-222, September.

    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:eme:afrpps:v:74:y:2014:i:1:p:38-54. 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: Emerald Support (email available below). General contact details of provider: .

    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.