IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02047868.html
   My bibliography  Save this paper

Le mode de commercialisation est-il une échappatoire pour les exploitations en difficulté financière ?

Author

Listed:
  • Geoffroy Enjolras

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

  • Magali Aubert

    (UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

Abstract

Cet article s'intéresse aux exploitations agricoles rencontrant des difficultés financières et à leur mutation, notamment du point de vue de leur mode de commercialisation. L'adoption de pratiques en circuit court peut en effet constituer un moyen de survie pour l'exploitant en récupérant plus de flexibilité et une plus grande part de valeur ajoutée. A partir des données du RICA 2005-2012, nous construisons un score financier des exploitations agricoles en fonction de 7 paramètres financiers-clefs mesurant la détresse des entreprises. Grâce à une analyse statistique et une modélisation économétrique, nous établissons le profil contrasté des exploitations en difficulté, notamment dans le maraîchage et la viticulture. Les résultats montrent que les exploitations en difficulté sont plus petites et que le chef d'exploitation est plus âgé et moins bien formé. Leur volonté de survie se traduit par une réduction de leur superficie, du nombre d'employés et des dépenses en intrants et en assurance mais ce mouvement ne suffit généralement pas à extraire de la difficulté les exploitations concernées. Il ressort enfin que les exploitations viticoles en difficulté ont tendance à se tourner vers la vente au détail pour rétablir leur situation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Geoffroy Enjolras & Magali Aubert, 2014. "Le mode de commercialisation est-il une échappatoire pour les exploitations en difficulté financière ?," Post-Print hal-02047868, HAL.
  • Handle: RePEc:hal:journl:hal-02047868
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Christoph R. Weiss, 1999. "Farm Growth and Survival: Econometric Evidence for Individual Farms in Upper Austria," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 103-116.
    2. Dominique Desbois, 2008. "Introduction to Scoring Methods: Financial Problems of Farm Holdings [Introduction aux méthodes de scoring : problèmes financiers des exploitations agricoles]," Post-Print hal-03130764, HAL.
    3. Colson, F. & Blogowski, A. & Dechambre, B. & Chia, E. & Desarmenien, D. & Sorin, B., 1993. "Prévenir les défaillances financières en agriculture. Application de la méthode des scores," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 29.
    4. Pierre Blanchard & Jean-Pierre Huiban & Claude Mathieu, 2012. "The determinants of firm exit in the French food industries," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 93(2), pages 193-212.
    5. Ben Bernanke & Mark Gertler, 1990. "Financial Fragility and Economic Performance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 87-114.
    6. Marian Rizov & Erik Mathijs, 2003. "Farm Survival and Growth in Transition Economies: Theory and Empirical Evidence from Hungary," Post-Communist Economies, Taylor & Francis Journals, vol. 15(2), pages 227-242.
    7. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    8. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    9. Pierre Blanchard & Jean-Pierre Huiban & Claude Mathieu, 2012. "The determinants of firm exit in the French food industries," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 93(2), pages 193-212.
    10. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    11. Émilie Lanciano & Séverine Saleilles, 2010. "Le développement des circuits courts alimentaires : un nouveau souffle entrepreneurial dans l'agriculture ?," Post-Print halshs-00521480, HAL.
    12. Magali Aubert & Philippe Perrier‐Cornet, 2009. "Is there a future for small farms in developed countries? Evidence from the French case," Agricultural Economics, International Association of Agricultural Economists, vol. 40(s1), pages 797-806, November.
    13. Andrius Kazukauskas & Carol Newman & Daragh Clancy & Johannes Sauer, 2013. "Disinvestment, Farm Size, and Gradual Farm Exit: The Impact of Subsidy Decoupling in a European Context," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1068-1087.
    14. F Colson & A Blogowski & B Dechambre & E Chia & D Desarmenien & B Sorin, 1993. "Prévenir les défaillances financières en agriculture. Application de la méthode des scores," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 29, pages 21-44.
    15. Altman, Edward I., 1984. "The success of business failure prediction models : An international survey," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 171-198, June.
    16. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    17. Magali Aubert & Geoffroy Enjolras, 2013. "Quelles incitations pour la vente au détail ? Une analyse économique et financière des exploitations agricoles françaises," Post-Print hal-02750392, HAL.
    18. Geoffroy Enjolras & Patrick Sentis, 2011. "Crop insurance policies and purchases in France," Agricultural Economics, International Association of Agricultural Economists, vol. 42(4), pages 475-486, July.
    19. H. Frederick Gale, 1994. "Longitudinal Analysis of Farm Size over the Farmer's Life Cycle," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 16(1), pages 113-123.
    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. Magali Aubert & Geoffroy Enjolras, 2015. "Are short food supply chains a solution for farms facing financial difficulties?," Post-Print hal-02800273, HAL.
    2. Enjolras, Geoffroy & Madiès, Philippe, 2017. "The determinants of financial distress in French farms: Analysts versus Algorithms," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259168, Agricultural and Applied Economics Association.
    3. Geoffroy Enjolras & Philippe Madiès, 2020. "The role of bank analysts and scores in the prediction of financial distress: Evidence from French farms," Economics Bulletin, AccessEcon, vol. 40(4), pages 2978-2993.
    4. Aubert, Magali & Enjoylras, Geoffroy, 2016. "Analyse financière des exploitations fruitières et maraîchères françaises qui vendent au détail," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 356(November-).
    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. Becchetti, Leonardo & Castelli, Annalisa & Hasan, Iftekhar, 2008. "Investment-cash flow sensitivities, credit rationing and financing constraints," Bank of Finland Research Discussion Papers 15/2008, Bank of Finland.
    7. Fayçal Mraihi & Inane Kanzari, 2019. "Predicting financial distress of companies: Comparison between multivariate discriminant analysis and multilayer perceptron for Tunisian case," Working Papers 1328, Economic Research Forum, revised 21 Aug 2019.
    8. Scalzer, Rodrigo S. & Rodrigues, Adriano & Macedo, Marcelo Álvaro da S. & Wanke, Peter, 2019. "Financial distress in electricity distributors from the perspective of Brazilian regulation," Energy Policy, Elsevier, vol. 125(C), pages 250-259.
    9. Fayçal Mraihi & Inane Kanzari & Mohamed Tahar Rajhi, 2015. "Development of a Prediction Model of Failure in Tunisian Companies: Comparison between Logistic Regression and Support Vector Machines," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(3), pages 184-205.
    10. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    11. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    12. Pavol Durana & Lucia Michalkova & Andrej Privara & Josef Marousek & Milos Tumpach, 2021. "Does the life cycle affect earnings management and bankruptcy?," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 425-461, June.
    13. 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.
    14. E. Fedorova A. & M. Chukhlantseva A. & D. Chekrizov V. & ЕЛЕНА Федорова АНАТОЛЬЕВНА & МАРИЯ Чухланцева АЛЕКСАНДРОВНА & ДМИТРИЙ Чекризов ВАСИЛЬЕВИЧ, 2017. "Нормативные значения коэффициентов финансовой устойчивости: особенности видов экономической деятельности // Normative Values of Financial Stability Ratios: Industry-Specific Features," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 7(2), pages 44-55.
    15. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    16. Le, Hong Hanh & Viviani, Jean-Laurent, 2018. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios," Research in International Business and Finance, Elsevier, vol. 44(C), pages 16-25.
    17. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    18. Juraini Zainol Abidin & Nur Adiana Hiau Abdullah & Karren Lee-Hwei Khaw, 2020. "Predicting SMEs Failure: Logistic Regression vs Artificial Neural Network Models," Capital Markets Review, Malaysian Finance Association, vol. 28(2), pages 29-41.
    19. Nasim Nasirpour & Alireza Mazdaki & Esmail Enayati, 2016. "The Investigation and Comparison of the Performance of Heuristic Methods in the Prediction of the Type of Auditor’s Opinion in Firms Accepted in Tehran Stock Exchange," Asian Social Science, Canadian Center of Science and Education, vol. 12(6), pages 148-148, June.
    20. David Veganzones, 2022. "Corporate failure prediction using threshold‐based models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 956-979, August.

    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:hal:journl:hal-02047868. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.