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Spatial autocorrelation and clusters in modelling corporate bankruptcy of manufacturing firms

Author

Listed:
  • M. Simona Andreano

    (Universitas Mercatorum)

  • Roberto Benedetti

    (University of Chieti-Pescara)

  • Andrea Mazzitelli

    (Universitas Mercatorum)

  • Federica Piersimoni

    (Italian National Statistical Institute)

Abstract

The interest in the prediction of firms’ bankruptcy is increasing in the recent recession period 2008–2012, when, in Italy, the number of distressed manufacturing firms increased sharply. The most popular model applied by bankruptcy researchers is the logit model (logistic regression model). In the present paper we extend this classical model in two different ways, to take into account the spatial effects that can highly affect bankruptcy probability. We propose to apply the spatial Autologistic model and the Logit Regression Tree, with the aim to find evidence of spatial dependence and spatial heterogeneity in bankruptcy probability, of the manufacturing firms of Prato and Florence (Italy). Our application shows that spatial contagion effects are an important issue when modelling bankruptcy probability. Moreover, the application of the regression tree analysis shows the presence of three different clusters, with heterogeneous behaviours.

Suggested Citation

  • M. Simona Andreano & Roberto Benedetti & Andrea Mazzitelli & Federica Piersimoni, 2018. "Spatial autocorrelation and clusters in modelling corporate bankruptcy of manufacturing firms," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(4), pages 475-491, December.
    • Handle: RePEc:spr:epolin:v:45:y:2018:i:4:d:10.1007_s40812-018-0097-x
    DOI: 10.1007/s40812-018-0097-x
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    as
    1. Michael Porter, 2003. "The Economic Performance of Regions," Regional Studies, Taylor & Francis Journals, vol. 37(6-7), pages 549-578.
    2. repec:hal:spmain:info:hdl:2441/7186 is not listed on IDEAS
    3. Jones,Stewart & Hensher,David A. (ed.), 2008. "Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction," Cambridge Books, Cambridge University Press, number 9780521689540.
    4. David Wheeler & Catherine Calder, 2007. "An assessment of coefficient accuracy in linear regression models with spatially varying coefficients," Journal of Geographical Systems, Springer, vol. 9(2), pages 145-166, June.
    5. Daniel Fackler & Claus Schnabel & Joachim Wagner, 2013. "Establishment exits in Germany: the role of size and age," Small Business Economics, Springer, vol. 41(3), pages 683-700, October.
    6. Rupa Duttagupta & Mr. Paul Cashin, 2008. "The Anatomy of Banking Crises," IMF Working Papers 2008/093, International Monetary Fund.
    7. Andrew B Bernard & J. Bradford Jensen, 2007. "Firm Structure, Multinationals, and Manufacturing Plant Deaths," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 193-204, May.
    8. Bauer, Julian & Agarwal, Vineet, 2014. "Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 432-442.
    9. McCann, Brian T. & Folta, Timothy B., 2011. "Performance differentials within geographic clusters," Journal of Business Venturing, Elsevier, vol. 26(1), pages 104-123, January.
    10. Delgado, Mercedes & Porter, Michael E. & Stern, Scott, 2014. "Clusters, convergence, and economic performance," Research Policy, Elsevier, vol. 43(10), pages 1785-1799.
    11. 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.
    12. Miguel Manjón-Antolín & Josep-Maria Arauzo-Carod, 2008. "Firm survival: methods and evidence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(1), pages 1-24, March.
    13. Fotopoulos, Georgios & Louri, Helen, 2000. "Location and Survival of New Entry," Small Business Economics, Springer, vol. 14(4), pages 311-321, June.
    14. Rajshree Agarwal & Michael Gort, 2002. "Firm and Product Life Cycles and Firm Survival," American Economic Review, American Economic Association, vol. 92(2), pages 184-190, May.
    15. Giorgia Giovannetti & Giorgio Ricchiuti & Margherita Velucchi, 2011. "Size, innovation and internationalization: a survival analysis of Italian firms," Applied Economics, Taylor & Francis Journals, vol. 43(12), pages 1511-1520.
    16. Teresa C Fort & John Haltiwanger & Ron S Jarmin & Javier Miranda, 2013. "How Firms Respond to Business Cycles: The Role of Firm Age and Firm Size," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(3), pages 520-559, August.
    17. Valter Di Giacinto & Matteo Gomellini & Giacinto Micucci & Marcello Pagnini, 2014. "Mapping local productivity advantages in Italy: industrial districts, cities or both?," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 365-394.
    18. Emilia Bonaccorsi di Patti & Alessio D’Ignazio & Marco Gallo & Giacinto Micucci, 2015. "The Role of Leverage in Firm Solvency: Evidence From Bank Loans," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(2), pages 253-286, July.
    19. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    20. Flora Bellone & Patrick Musso & Michel Quéré & Lionel Nesta, 2006. "Productivity and Market Selection of French Manufacturing Firms in the Nineties," Revue de l'OFCE, Presses de Sciences-Po, vol. 97(5), pages 319-349.
    21. repec:hal:wpspec:info:hdl:2441/7185 is not listed on IDEAS
    22. Silviano Pérez & Amparo Llopis & Juan Llopis, 2004. "The Determinants of Survival of Spanish Manufacturing Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 25(3), pages 251-273, August.
    23. Suminori Tokunaga & Masahiro Kageyama & Yuko Akune & Ryohei Nakamura, 2014. "Empirical Analysis Of Agglomeration Economies In The Japanese Assembly-Type Manufacturing Industry For 1985–2000: Using Agglomeration And Coagglomeration Indices," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 26(1), pages 57-79, March.
    24. Giulio Cainelli & Donato Iacobucci & Enrica Morganti, 2006. "Spatial agglomeration and business groups: New evidence from Italian industrial districts," Regional Studies, Taylor & Francis Journals, vol. 40(5), pages 507-518.
    25. Folta, Timothy B. & Cooper, Arnold C. & Baik, Yoon-suk, 2006. "Geographic cluster size and firm performance," Journal of Business Venturing, Elsevier, vol. 21(2), pages 217-242, March.
    26. Harald Strotmann, 2007. "Entrepreneurial Survival," Small Business Economics, Springer, vol. 28(1), pages 87-104, January.
    27. Richard Disney & Jonathan Haskel & Ylva Heden, 2003. "Entry, Exit and Establishment Survival in UK Manufacturing," Journal of Industrial Economics, Wiley Blackwell, vol. 51(1), pages 91-112, March.
    28. 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.
    29. Boari, Cristina & Odorici, Vincenza & Zamarian, Marco, 2003. "Clusters and rivalry: does localization really matter?," Scandinavian Journal of Management, Elsevier, vol. 19(4), pages 467-489, December.
    30. Postiglione, Paolo & Benedetti, Roberto & Lafratta, Giovanni, 2010. "A regression tree algorithm for the identification of convergence clubs," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2776-2785, November.
    31. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    32. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    33. repec:hal:spmain:info:hdl:2441/7185 is not listed on IDEAS
    34. Paloma López-García & Sergio Puente & Ángel Luis Gómez, 2007. "Firm productivity dynamics in Spain," Working Papers 0739, Banco de España.
    35. Varum, Celeste Amorim & Rocha, Vera Catarina Barros, 2011. "Do foreign and domestic firms behave any different during economic slowdowns?," International Business Review, Elsevier, vol. 20(1), pages 48-59, February.
    36. Paolo Ramazzotti, 2010. "Industrial districts, social cohesion and economic decline in Italy," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 34(6), pages 955-974.
    37. Elicia Maine & Daniel Shapiro & Aidan Vining, 2010. "The role of clustering in the growth of new technology-based firms," Small Business Economics, Springer, vol. 34(2), pages 127-146, February.
    38. repec:hal:wpspec:info:hdl:2441/7186 is not listed on IDEAS
    39. Stewart Jones & David Johnstone & Roy Wilson, 2017. "Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 44(1-2), pages 3-34, January.
    40. Honjo, Yuji, 2000. "Business failure of new firms: an empirical analysis using a multiplicative hazards model," International Journal of Industrial Organization, Elsevier, vol. 18(4), pages 557-574, May.
    41. Marco Mariani & Elena Pirani & Elena Radicchi, 2013. "La sopravvivenza delle imprese negli anni della crisi: prime evidenze empiriche dalla Toscana," ECONOMIA E POLITICA INDUSTRIALE, FrancoAngeli Editore, vol. 2013(1), pages 25-52.
    42. Jones,Stewart & Hensher,David A. (ed.), 2008. "Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction," Cambridge Books, Cambridge University Press, number 9780521869287.
    43. Marcus Box, 2008. "The death of firms: exploring the effects of environment and birth cohort on firm survival in Sweden," Small Business Economics, Springer, vol. 31(4), pages 379-393, December.
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    Cited by:

    1. Manuel Rico & Santiago Cantarero & Francisco Puig, 2021. "Regional Disparities and Spatial Dependence of Bankruptcy in Spain," Mathematics, MDPI, vol. 9(9), pages 1-20, April.

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    More about this item

    Keywords

    Default probability; Autologistic model; Heterogeneity; Spatial dependence;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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