IDEAS home Printed from https://ideas.repec.org/a/ags/ifaamr/316309.html
   My bibliography  Save this article

Propensity for premature filing for judicial financial recovery in large-scale agriculture in Brazil

Author

Listed:
  • Ortiz, Antonio Carlos
  • Monaco, Henrique
  • Machado, Vitor
  • Boehlje, Michael

Abstract

In the Brazilian agricultural space, numerous cases of large farmers have declared themselves in severe financial distress and filed for Judicial Financial Recovery (JFR) in the past few years. Our statistical analysis, although preliminary and based on limited available data, indicates that these operations have shown financial indices at levels that, in general, did not significantly differ from a sample of other larger farmers’. Only ‘liquidity’ presented a more persistent relationship with the cases of Judicial Recovery. Therefore, it seems that farmers may be resorting to the JFR route prematurely. Within a limited subsample of cases of farmers who filed for JFR, data also shows a pattern with indications that farmers may tend to time their filing to coincide with having their main crops ready for commercialization immediately preceding or after harvesting. This suggests that these farmers might be seeking to free their most recent crop from previous financial and commercial commitments by pursuing a favorable court decision to their JFR. Some factors may be driving this behavior: (1) most farmers in Brazil do not produce a complete set of financial statements on accrual bases, which may lead to errors and incomplete information; (2) not all farmers’ debt is registered at the Central Bank, making debt consolidation a challenging discovery process to lenders, who may overleverage clients; (3) farm revenues are concentrated in only a few weeks of the year, allowing farmers that file for Judicial Recovery to carry on with their business, if the courts halt service of previous debt; (4) courts have also allowed these farmers to release assets from collateralized loans. In sum, there may be inaccurate interpretation of the farmers’ financial condition due to incomplete information, and a component of moral hazard motivating large farmers filing prematurely for JFR in Brazil. The number and magnitude of these cases may generate negative consequences to agricultural credit costs and availability in the future.

Suggested Citation

  • Ortiz, Antonio Carlos & Monaco, Henrique & Machado, Vitor & Boehlje, Michael, 2021. "Propensity for premature filing for judicial financial recovery in large-scale agriculture in Brazil," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(4), February.
    • Handle: RePEc:ags:ifaamr:316309
    DOI: 10.22004/ag.econ.316309
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/316309/files/ifamr2021.0025.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.316309?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. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    2. Allen M. Featherstone & Laura M. Roessler & Peter J. Barry, 2006. "Determining the Probability of Default and Risk-Rating Class for Loans in the Seventh Farm Credit District Portfolio," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 4-23.
    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. Gagalyuk, Taras & Meyers, William H. & Balmann, Alfons, 2021. "Editorial," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(4), May.

    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. Kagan Adam & Soliwoda Michał & Gospodarowicz Marcin, 2024. "Evaluation of the Effects of Replacing the Wibor Rate by the Wiron Rate for Preferential Credits in Polish Agriculture," Zagadnienia Ekonomiki Rolnej / Problems of Agricultural Economics, Sciendo, vol. 378(1), pages 1-29.
    2. Fiechter, Chad M. & Miller, Noah J. & Ifft, Jennifer & Nelson, Blaine, 2024. "Farm Characteristics and Cost of Borrowing," 2024 Annual Meeting, July 28-30, New Orleans, LA 343924, Agricultural and Applied Economics Association.
    3. Kagan, Adam & Soliwoda, Michał & Gospodarowicz, Marcin, 2024. "Evaluation of the Effects of Replacing the Wibor Rate by the Wiron Rate for Preferential Credits in Polish Agriculture," International Journal of Agricultural Sciences and Technology (IJAGST), SvedbergOpen, vol. 378(1), March.
    4. Hakenes, Hendrik & Schnabel, Isabel, 2011. "Bank size and risk-taking under Basel II," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1436-1449, June.
    5. RenÈ Garcia, 2002. "Are the Effects of Monetary Policy Asymmetric?," Economic Inquiry, Western Economic Association International, vol. 40(1), pages 102-119, January.
    6. Assaf Razin & Efraim Sadka & Chi-Wa Yuen, 1999. "An Information-Based Model of Foreign Direct Investment: The Gains from Trade Revisited," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 6(4), pages 579-596, November.
    7. Innes, Robert, 1987. "Adverse Selection And Tax Externalities In A Model Of Entrepreneurial Investment," Working Papers 225812, University of California, Davis, Department of Agricultural and Resource Economics.
    8. Li, Yuanyuan & Wigniolle, Bertrand, 2017. "Endogenous information revelation in a competitive credit market and credit crunch," Journal of Mathematical Economics, Elsevier, vol. 68(C), pages 127-141.
    9. Sevcan Yesiltas, 2009. "Financing Constraints and Investment: The Case of Turkish Manufacturing Firms," 2009 Meeting Papers 874, Society for Economic Dynamics.
    10. Janvier D. Nkurunziza, 2005. "Reputation and Credit without Collateral in Africa`s Formal Banking," Economics Series Working Papers WPS/2005-02, University of Oxford, Department of Economics.
    11. Cowling, Marc, 2010. "The role of loan guarantee schemes in alleviating credit rationing in the UK," Journal of Financial Stability, Elsevier, vol. 6(1), pages 36-44, April.
    12. Weill, Laurent, 2011. "How corruption affects bank lending in Russia," Economic Systems, Elsevier, vol. 35(2), pages 230-243, June.
    13. Otto Eckstein & Allen Sinai, 1986. "The Mechanisms of the Business Cycle in the Postwar Era," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 39-122, National Bureau of Economic Research, Inc.
    14. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
    15. Hartarska, Valentina M. & Nadolnyak, Denis A., 2012. "Financing Constraints and Access to Credit in Post Crisis Environment: Evidence from New Farmers in Alabama," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124882, Agricultural and Applied Economics Association.
    16. Waters, George A., 2013. "Quantity rationing of credit and the Phillips curve," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 68-80.
    17. Jiao Wang & Lima Zhao & Arnd Huchzermeier, 2021. "Operations‐Finance Interface in Risk Management: Research Evolution and Opportunities," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 355-389, February.
    18. Elyasiani, Elyas & Mansur, Iqbal & Pagano, Michael S., 2007. "Convergence and risk-return linkages across financial service firms," Journal of Banking & Finance, Elsevier, vol. 31(4), pages 1167-1190, April.
    19. Andriakopoulos, Konstantinos & Ladas, Augoustinos & Andriakopoulos, Panagiotis, 2020. "Bank efficiency and leasing in U.S.A. banking system," MPRA Paper 112645, University Library of Munich, Germany.
    20. Djimoudjiel, Djekonbe & T. Rostand, Dany Dombu & MBATINA NODJI, NDILENGAR, 2024. "What lessons does the COVID-19 pandemic teach us about banking liquidity and information share in the CEMAC zone?," MPRA Paper 119666, University Library of Munich, Germany, revised 17 Jan 2024.

    More about this item

    Keywords

    Agribusiness; Financial Economics;

    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:ifaamr:316309. 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/ifamaea.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.