Purpose: The study analyzes whether and how a set of financial ratios calculated on the basis of financial statement information would allow auditors of Italian Local Governments (ILGs) to get an indication of LGs financial distress risk and, hence, to support politicians and managers in promptly detecting financial distress. Design: A model comprising a set of financial indicators that would distinguish distressed from non-distressed LGs through a logistic regression approach has been estimated and applied to Italian LGs. The model is built on the basis of information pertaining to 44 distressed and 53 non-distressed LGs for up to five years prior to bankruptcy and covers the period 2003-2012. Findings: The model reveals that the percentage of personnel expenses over revenues, the turnover ratio of short-term liabilities over current revenues and the reliance on subsidies (calculated as subsidies per capita) are factors discriminating non-distressed LGs from the distressed ones. Practical implications: The model could have political and practical implications. The possible use of this model as a complementary tool in auditing activities might be helpful for auditors in detecting financial distress promptly, thus potentially enabling politicians and managers to search for different ways to manage public resources in order to avoid the detrimental consequences related to the declaration of distress. Originality/value: This model, contrary to existing models that use accrual accounting data, applicable to LGs that adopt a modified cash accounting basis.

Auditors and early signals of financial distress in Local Governments

MANES ROSSI, Francesca
2017-01-01

Abstract

Purpose: The study analyzes whether and how a set of financial ratios calculated on the basis of financial statement information would allow auditors of Italian Local Governments (ILGs) to get an indication of LGs financial distress risk and, hence, to support politicians and managers in promptly detecting financial distress. Design: A model comprising a set of financial indicators that would distinguish distressed from non-distressed LGs through a logistic regression approach has been estimated and applied to Italian LGs. The model is built on the basis of information pertaining to 44 distressed and 53 non-distressed LGs for up to five years prior to bankruptcy and covers the period 2003-2012. Findings: The model reveals that the percentage of personnel expenses over revenues, the turnover ratio of short-term liabilities over current revenues and the reliance on subsidies (calculated as subsidies per capita) are factors discriminating non-distressed LGs from the distressed ones. Practical implications: The model could have political and practical implications. The possible use of this model as a complementary tool in auditing activities might be helpful for auditors in detecting financial distress promptly, thus potentially enabling politicians and managers to search for different ways to manage public resources in order to avoid the detrimental consequences related to the declaration of distress. Originality/value: This model, contrary to existing models that use accrual accounting data, applicable to LGs that adopt a modified cash accounting basis.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4677880
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 15
social impact