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Optimal Agricultural Credit Association Branch Office Locations

Author

Listed:
  • Scaletta, Timi M.
  • Stokes, Jeffrey R.

Abstract

Since the farm financial crisis of the 1980s, Farm Credit System banks continue to merge and consolidate to enhance competitiveness. Two mixed-integer programming models of AgChoice Agricultural Credit Association (ACA), a recently merged ACA in Pennsylvania, were developed to determine the optimal number, location, and territory of branches. The approach suggests useful information can be determined regarding the reconfiguration process after bank mergers, especially given the fact that the current AgChoice ACA configuration is available for comparison purposes.

Suggested Citation

  • Scaletta, Timi M. & Stokes, Jeffrey R., 2003. "Optimal Agricultural Credit Association Branch Office Locations," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 0(Number 1), pages 1-18, April.
  • Handle: RePEc:ags:joaaec:37838
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    File URL: http://ageconsearch.umn.edu/record/37838/files/Scaletta%20JAAE%20April%202003.pdf
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    Cited by:

    1. Witte, Taylor & DeVuyst, Eric & Whitacre, Brian & Jones, Rodney, 2015. "Determining the Impact of a New Farm Credit Branch in East Central Oklahoma," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196674, Southern Agricultural Economics Association.

    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

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