IDEAS home Printed from https://ideas.repec.org/p/ags/saea17/252829.html
   My bibliography  Save this paper

Ability to Pay and Agriculture Sector Stability

Author

Listed:
  • Hardin, Erin M.
  • Penson, John B.

Abstract

The recent reduction in commodity prices and farmland values following the substantial growth in the agriculture sector has called into question the risk profile of agricultural enterprises. Following the boom witnessed in the 1970’s, the sector witnessed a contraction in prices, demand for goods, and asset values that led many farm enterprises and commercial, agricultural banks to bankruptcy. Many factors of the current evolution of the sector have proven different than those of previous sector cycles yet understanding the reoccurring timeline of events and considering possible causal relationships between major drivers of stability prove pertinent to the continued operation of the most vulnerable farm operations and agricultural lenders. Substantial debt accumulation and repayment capacity have been a precursor and likely catalyst of the previous so called “busts” of farm sector cycles. The analysis performed will address drivers of debt accumulation and the ability of the agriculture sector to service debt. Specifically, the leverage ratio, debt relative to assets, and the debt-burden ratio, debt relative to income, are analyzed. These ratios signal vulnerability to changes in performance of a sector or a specific enterprise’s ability to endure a downturn in the market.

Suggested Citation

  • Hardin, Erin M. & Penson, John B., 2017. "Ability to Pay and Agriculture Sector Stability," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252829, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea17:252829
    DOI: 10.22004/ag.econ.252829
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/252829/files/Ability%20to%20Pay%20and%20Agriculture%20Sector%20Stability_SAEA_submissionR.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.252829?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
    ---><---

    References listed on IDEAS

    as
    1. Jason Henderson & Nathan Kauffman, 2013. "Farm investment and leverage cycles: will this time be different?," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 89-114.
    2. John B. Penson & Robert F. J. Romain & Dean W. Hughes, 1981. "Net Investment in Farm Tractors: An Econometric Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(4), pages 629-635.
    3. John B. Penson & Dean W. Hughes & Glenn L. Nelson, 1977. "Measurement of Capacity Depreciation Based on Engineering Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(2), pages 321-329.
    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. Penson, John B. & Chen, Dean T., 1988. "Design and Application of a Structural General Equilibrium Model to Farm Policy Analysis," Staff Reports 257926, Texas A&M University, Agricultural and Food Policy Center.
    2. Penson, John B. & Taylor, C. Robert, 1990. "Modeling the Interface Between Agriculture and the General Economy," Working Papers 258042, Texas A&M University, Agricultural and Food Policy Center.
    3. Vanzetti, David & Quiggin, John C., 1985. "A Comparative Analysis Of Agricultural Tractor Investment Models," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 29(2), pages 1-20, August.
    4. Chen, Dean T. & Penson, John B. & Teboh, Jacob F., 1988. "The Implicit Revenue Function Approach to Farm Program Analysis," Staff Reports 257912, Texas A&M University, Agricultural and Food Policy Center.
    5. Perry Warjiyo & Wallace E. Huffman, 1997. "Dynamic input demand functions and resource adjustment for US agriculture: state evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 17(2-3), pages 223-237, December.
    6. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    7. San Juan, Carlos & Ball, V. Eldon & Butault, Jean-Pierre & Nehring, Richard, 2015. "Real Capital Input in OECD Agriculture: A Multinational Comparison," UC3M Working papers. Economics we1501, Universidad Carlos III de Madrid. Departamento de Economía.
    8. Vasavada, Utpal & Ball, V. Eldon, 1988. "Modeling Dynamic Adjustment In A Multi-Output Framework," Staff Reports 278021, United States Department of Agriculture, Economic Research Service.
    9. Andersen, Matthew A. & Alston, Julian M. & Pardey, Philip G., 2009. "Capital Service Flows: Concepts and Comparisons of Alternative Measures in U.S. Agriculture," Staff Papers 50098, University of Minnesota, Department of Applied Economics.
    10. Unknown, 1980. "Measurement of U.S. Agricultural Productivity: A Review of Current Statistics and Proposals for Change," Technical Bulletins 157718, United States Department of Agriculture, Economic Research Service.
    11. Tsigas, Marinos E. & Hertel, Thomas W., 1989. "Testing Dynamic Models Of The Farm Firm," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(1), pages 1-10, July.
    12. V. Eldon Ball & W. A. Lindamood & Richard Nehring & Carlos San Juan Mesonada, 2008. "Capital as a factor of production in OECD agriculture: measurement and data," Applied Economics, Taylor & Francis Journals, vol. 40(10), pages 1253-1277.
    13. Lefebvre, Marianne & Gomez y Paloma, Sergio & Viaggi, Davide, 2014. "EU farmers' intentions to invest in 2014-2020: complementarity between asset classes," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182737, European Association of Agricultural Economists.
    14. Kuchler, Fred & Vroomen, Harry, 1987. "Impacts of the PIK Program on the Farm Machinery Market," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 39(3), pages 1-10.
    15. Ahearn, Mary Clare & Yee, Jet & Ball, V. Eldon & Nehring, Richard F., 1998. "Agricultural Productivity in the United States," Agricultural Information Bulletins 33687, United States Department of Agriculture, Economic Research Service.
    16. Yu Sheng & V. Eldon Ball & Kenneth Erickson & Carlos San Juan Mesonada, 2022. "Cross-country agricultural TFP convergence and capital deepening: evidence for induced innovation from 17 OECD countries," Journal of Productivity Analysis, Springer, vol. 58(2), pages 185-202, December.
    17. Conway, Roger & Hrubovcak, James & LeBlanc, Michael, 1985. "The Structure of Agricultural Investment: Comparing a Flexible Accelerator with Stochastic Coefficients," Technical Bulletins 157016, United States Department of Agriculture, Economic Research Service.
    18. Andersen, Matthew A. & Alston, Julian M., 2004. "A Comparison Of Capital Measures In U.S. Agriculture," 2004 Annual meeting, August 1-4, Denver, CO 20153, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Abebe, Kassahun & Dahl, Dale C. & Olson, Kent D., 1990. "How Good Are Input Demand Models Used In Previous Studies Now?," Staff Papers 13587, University of Minnesota, Department of Applied Economics.
    20. Nielsen, Elizabeth G. & Miranowski, John A. & Morehart, Mitchell J, 1989. "Investments in Soil Conservation and Land Improvements: Factors Explaining Farmers' Decisions," Agricultural Economic Reports 308064, United States Department of Agriculture, Economic Research Service.

    More about this item

    Keywords

    Agribusiness; Agricultural Finance; Financial Economics; Land Economics/Use; Risk and Uncertainty;
    All these keywords.

    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:saea17:252829. 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/saeaaea.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.