IDEAS home Printed from https://ideas.repec.org/p/ags/aaea14/170080.html
   My bibliography  Save this paper

Pre- and Post- Recession Input Allocation Decisions of Farm Credit System Lending Units

Author

Listed:
  • Song, Minrong
  • Escalante, Cesar L.

Abstract

This paper applies the stochastic Translog input distance function and stochastic frontier analysis (SFA) method to evaluate the operational efficiency of lending units within the Farm Credit System (FCS). This study’s model is applied as a comparative analytical frame work to analyze operating strategies and efficiencies of FCS banks versus credit associations (ACA) as well as among various size categories of FCS lending units. This study also adopts an intertemporal perspective by looking at comparative FCS efficiency before and after the most recent financial crisis. The study’s analyses of changes in both technical efficiency (TE) and allocative efficiency (AE) will help FCS make operating adjustments to maximize total factor productivity.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:aaea14:170080
    DOI: 10.22004/ag.econ.170080
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/170080/files/Poster2014_AAEA-36x48-Minrong_Song_4654.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.170080?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Christopher Metli & Kevin J. Stiroh, 2003. "Now and then: the evolution of loan quality for U.S. banks," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 9(Apr).
    2. Cesar Escalante & Minrong Song & Charles Dodson, 2016. "FSA farm loan repayment under economic recession and drought conditions," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 76(4), pages 445-461, November.
    3. Hughes, Joseph P. & Mester, Loretta J. & Moon, Choon-Geol, 2001. "Are scale economies in banking elusive or illusive?: Evidence obtained by incorporating capital structure and risk-taking into models of bank production," Journal of Banking & Finance, Elsevier, vol. 25(12), pages 2169-2208, December.
    4. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    5. 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.
    6. Brian C. Briggeman & Philip Kenkel, 2008. "Customer segmentation perceptions of farm credit associations," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(2), pages 227-236, November.
    7. Atkinson, Scott E. & Primont, Daniel, 2002. "Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions," Journal of Econometrics, Elsevier, vol. 108(2), pages 203-225, June.
    8. 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.
    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. Liu, Tung, 2021. "Measuring cost inefficiency: A dual approach," Economic Modelling, Elsevier, vol. 99(C).
    2. Kumbhakar, Subal C. & Wang, Hung-Jen, 2006. "Estimation of technical and allocative inefficiency: A primal system approach," Journal of Econometrics, Elsevier, vol. 134(2), pages 419-440, October.
    3. Joseph P. Hughes & Julapa Jagtiani & Loretta J. Mester, 2016. "Is Bigger Necessarily Better in Community Banking?," Working Papers (Old Series) 1615, Federal Reserve Bank of Cleveland.
    4. 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.
    5. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    6. 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.
    7. Joseph P. Hughes & Loretta J. Mester & Choon-Geol Moon, 2017. "Measuring agency costs and the value of investment opportunities of US bank holding companies with stochastic frontier estimation," Chapters, in: Jacob A. Bikker & Laura Spierdijk (ed.), Handbook of Competition in Banking and Finance, chapter 11, pages 205-229, Edward Elgar Publishing.
    8. 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.
    9. 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.
    10. Williams, Jonathan, 2004. "Determining management behaviour in European banking," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2427-2460, October.
    11. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    12. Beccalli, Elena & Anolli, Mario & Borello, Giuliana, 2015. "Are European banks too big? Evidence on economies of scale," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 232-246.
    13. Tung Liu, 2020. "Measuring Technical, Allocative inefficiency, and Cost Inefficiency by Applying Duality Theory," Working Papers 202001, Ball State University, Department of Economics, revised Jun 2020.
    14. Sandrine Kablan & Ouidad Yousfi, 2015. "Performance of Islamic Banks across the World: An Empirical Analysis over the Period 2001-2008," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(1), pages 27-46.
    15. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    16. Coelli, Tim J. & Battese, George E., 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 1-26, August.
    17. Bravo-Ureta, Boris E. & Pinheiro, Antonio E., 1993. "Efficiency Analysis Of Developing Country Agriculture: A Review Of The Frontier Function Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(01), pages 1-14, April.
    18. K. R. Shanmugam & A. Das, 2004. "Efficiency of Indian commercial banks during the reform period," Applied Financial Economics, Taylor & Francis Journals, vol. 14(9), pages 681-686.
    19. Luc Baumstark & Claude Ménard & William Roy & Anne Yvrande-Billon, 2005. "Modes de gestion et efficience des opérateurs dans le secteur des transports urbains de personnes," Post-Print halshs-00103116, HAL.
    20. Hughes, Joseph P. & Lang, William W. & Mester, Loretta J. & Moon, Choon-Geol & Pagano, Michael S., 2003. "Do bankers sacrifice value to build empires? Managerial incentives, industry consolidation, and financial performance," Journal of Banking & Finance, Elsevier, vol. 27(3), pages 417-447, March.

    More about this item

    Keywords

    Agricultural Finance; Financial Economics; Productivity Analysis;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • E39 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Other
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

    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:ags:aaea14:170080. 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/aaeaaea.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.