IDEAS home Printed from https://ideas.repec.org/a/wly/agribz/v17y2001i2p273-297.html
   My bibliography  Save this article

Evaluating environmental liability through risk premiums charged on loans to agribusiness borrowers

Author

Listed:
  • Mary Jo Billiot

    (College of Business, Eastern New Mexico University, Station #49, Portales, NM 88130)

  • Zoel W. Daughtrey

    (School of Accountancy, College of Business and Industry, Mississippi State University, P.O. Box EF, Mississippi State, MS 39762)

Abstract

Environmental activities of a company may result in payments for hazardous waste site costs. Based upon current financial accounting standards, prospective payments for these costs are not always reported as liabilities on financial statements. Agribusiness lenders require complete information on the environmental status of agribusiness borrowers in order to assess the potential effects of environmental liability. In addition, agribusiness lenders have been held responsible by the judicial system for the environmental problems of their borrowers. Publicly available, financial and environmental data was used to develop models to quantify the effects of environmental status regardless of whether environmental liabilities are included in the financial statements. The results indicate that environmental status is dependent upon source of environmental hazard and company size, adjusted for industry affiliation. Affiliation with particular 4-digit SIC codes reduces the probability of the borrower being considered a significant environmental liability risk. [EconLit Citations: Q13, K32, G20]. © 2001 John Wiley & Sons, Inc.

Suggested Citation

  • Mary Jo Billiot & Zoel W. Daughtrey, 2001. "Evaluating environmental liability through risk premiums charged on loans to agribusiness borrowers," Agribusiness, John Wiley & Sons, Ltd., vol. 17(2), pages 273-297.
  • Handle: RePEc:wly:agribz:v:17:y:2001:i:2:p:273-297
    DOI: 10.1002/agr.1016
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/agr.1016
    File Function: Link to full text; subscription required
    Download Restriction: no

    File URL: https://libkey.io/10.1002/agr.1016?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. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    2. Michael A. Mazzocco, 1991. "Environmental Regulations and Agricultural Lending," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(5), pages 1394-1398.
    3. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    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. Olaf Weber & Roland W. Scholz & Georg Michalik, 2010. "Incorporating sustainability criteria into credit risk management," Business Strategy and the Environment, Wiley Blackwell, vol. 19(1), pages 39-50, January.
    2. Olaf Weber & Marcus Fenchel & Roland W. Scholz, 2008. "Empirical analysis of the integration of environmental risks into the credit risk management process of European banks," Business Strategy and the Environment, Wiley Blackwell, vol. 17(3), pages 149-159, March.
    3. Muddassar Sarfraz & Wang Qun & Li Hui & Muhammad Ibrahim Abdullah, 2018. "Environmental Risk Management Strategies and the Moderating Role of Corporate Social Responsibility in Project Financing Decisions," Sustainability, MDPI, vol. 10(8), pages 1-17, August.

    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. Enrico Supino & Nicola Piras, 2022. "Le performance dei modelli di credit scoring in contesti di forte instabilit? macroeconomica: il ruolo delle Reti Neurali Artificiali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 41-61.
    2. Lillian Cheung & Amnon Levy, 1998. "An integrative analysis of business bankruptcy in Australia," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 22(2), pages 149-167, June.
    3. Catherine Refait, 2004. "La prévision de la faillite fondée sur l’analyse financière de l’entreprise : un état des lieux," Économie et Prévision, Programme National Persée, vol. 162(1), pages 129-147.
    4. Nicoleta BARBUTA-MISU, 2011. "A Specific Model for Assessing the Financial Performance:Case study on Building Sector Enterprises of Galati County - Romania," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 318-325.
    5. Amin Jan & Maran Marimuthu & Muhammad Kashif Shad & Haseeb ur-Rehman & Muhammad Zahid & Ahmad Ali Jan, 2019. "Bankruptcy profile of the Islamic and conventional banks in Malaysia: a post-crisis period analysis," Economic Change and Restructuring, Springer, vol. 52(1), pages 67-87, February.
    6. García-Gallego, Ana & Mures-Quintana, María-Jesús, 2013. "La muestra de empresas en los modelos de predicción del fracaso: influencia en los resultados de clasificación || The Sample of Firms in Business Failure Prediction Models: Influence on Classification," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 15(1), pages 133-150, June.
    7. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    8. Salehi Mahdi & Rostami Neda, 2013. "Bankruptcy Prediction By Using Support Vector Machines And Genetic Algorithms," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 8(1), pages 104-114, April.
    9. Richard Evans, 2024. "The S-Score of Financial Sustainability for Professional Football Clubs," Journal of Sports Economics, , vol. 25(3), pages 322-345, April.
    10. Sanjay Sehgal & Ritesh Kumar Mishra & Ajay Jaisawal, 2021. "A search for macroeconomic determinants of corporate financial distress," Indian Economic Review, Springer, vol. 56(2), pages 435-461, December.
    11. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2019. "Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress?," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    12. du Jardin, Philippe, 2012. "The influence of variable selection methods on the accuracy of bankruptcy prediction models," MPRA Paper 44383, University Library of Munich, Germany.
    13. Apostolos G. Christopoulos & Ioannis G. Dokas & Iraklis Kollias & John Leventides, 2019. "An implementation of Soft Set Theory in the Variables Selection Process for Corporate Failure Prediction Models. Evidence from NASDAQ Listed Firms," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 1-20.
    14. Laitinen, Erkki K. & Laitinen, Teija, 2000. "Bankruptcy prediction: Application of the Taylor's expansion in logistic regression," International Review of Financial Analysis, Elsevier, vol. 9(4), pages 327-349.
    15. Petr Jakubík & Tatiana Škerlíková, 2014. "Macroeconomic Determinants of Firms' Default in the Czech Republic [Makroekonomické determinanty úpadku firem v České republice]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2014(2), pages 69-80.
    16. Gemünden, Hans Georg, 1988. "Defekte der empirischen Insolvenzforschung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 205, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    17. Nicoleta Barbuta-Misu, 2012. "Aggregated Index for Modelling the Influence of Financial Variables on Enterprise Performance," EuroEconomica, Danubius University of Galati, issue 2(31), pages 155-165, May.
    18. Tomasz Korol, 2019. "Dynamic Bankruptcy Prediction Models for European Enterprises," JRFM, MDPI, vol. 12(4), pages 1-15, December.
    19. Kevin C.W. Chen & Chi†Wen Jevons Lee, 1993. "Financial Ratios and Corporate Endurance: A Case of the Oil and Gas Industry," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 667-694, March.
    20. Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 157-176.

    More about this item

    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:wly:agribz:v:17:y:2001:i:2:p:273-297. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297 .

    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.