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Scoring The Default Risk Of Local Authority

Author

Listed:
  • Elena GORI

    (University of Florence, elena.gori@unifi.it, Florence, Italy,)

  • Silvia FISSI

    (University of Florence, silvia.fissi@unifi.it, Florence, Italy,)

Abstract

In the Nineties, almost all public administrations were affected by a change that made municipalities more responsible in using public resources. More recently, the global crisis and the gradual cuts in funding from the State led to significant repercussions on the budgets of local authorities with an increasing number of defaults. The Italian government introduced the procedure of �financial default� to rescue local authorities in financial difficulties from 1989. However, to date, a methodology to constantly monitor the local authorities� "health" and to prevent financial defaults has not yet been formalized. As previous studies highlighted a close link between financial condition and service delivered to citizens, the study aims to construct a set of specific indicators to judge the default risk of Italian LAs in order to prevent defaults. In this research we use a deductive method. The research was carried out in eight different steps according to a logical process of identifying the risk indicators and the consequent risk ranges. The results are significant as they clarify the situation leading potentially to default and they propose a set of specific risk indicators to evaluate and to prevent the risk of default. This logical process could easily be adopted at an international level, with the necessary modifications for specific accounting regimes.

Suggested Citation

  • Elena GORI & Silvia FISSI, 2014. "Scoring The Default Risk Of Local Authority," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 5(5), pages 7-25, June.
  • Handle: RePEc:aic:jopafl:y:2014:v:5:p:7-25
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    References listed on IDEAS

    as
    1. David Murray & Brian Dollery, 2005. "Local Government Performance Monitoring In New South Wales: Are ‘At Risk’ Councils Really At Risk?," Economic Papers, The Economic Society of Australia, vol. 24(4), pages 332-345, December.
    2. Arzu Tektas & E. Nur Ozkan-Gunay & Gokhan Gunay, 2005. "Asset and liability management in financial crisis," Journal of Risk Finance, Emerald Group Publishing, vol. 6(2), pages 135-149, March.
    3. Stewart Jones & R. G. Walker, 2007. "Explanators of Local Government Distress," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 396-418, September.
    4. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    5. Holian, Matthew & Joffe, Marc, 2013. "Assessing Municipal Bond Default Probabilities," MPRA Paper 46728, University Library of Munich, Germany.
    6. 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.
    7. Wilcox, Jw, 1971. "Simple Theory Of Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 9(2), pages 389-345.
    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. Roger B. Hammer & Gary P. Green, 1996. "Local Growth Promotion: Policy Adoption versus Effort," Economic Development Quarterly, , vol. 10(4), pages 331-341, November.
    10. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
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