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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Tavares, F., Santos, E., Oliveira, M. F. & Almeida, L. (2024). Determinants of corporate indebtedness in Portugal: An analysis of financial behaviour clusters. Risks. 12 (9)
Exportar Referência (IEEE) 
F. Tavares et al.,  "Determinants of corporate indebtedness in Portugal: An analysis of financial behaviour clusters", in Risks, vol. 12, no. 9, 2024
Exportar BibTeX 
@article{tavares2024_1781716774143,
	author = "Tavares, F. and Santos, E. and Oliveira, M. F. and Almeida, L.",
	title = "Determinants of corporate indebtedness in Portugal: An analysis of financial behaviour clusters",
	journal = "Risks",
	year = "2024",
	volume = "12",
	number = "9",
	doi = "10.3390/risks12060091",
	url = "https://www.mdpi.com/journal/risks"
}
Exportar RIS 
TY  - JOUR
TI  - Determinants of corporate indebtedness in Portugal: An analysis of financial behaviour clusters
T2  - Risks
VL  - 12
IS  - 9
AU  - Tavares, F.
AU  - Santos, E.
AU  - Oliveira, M. F.
AU  - Almeida, L.
PY  - 2024
SN  - 2227-9091
DO  - 10.3390/risks12060091
UR  - https://www.mdpi.com/journal/risks
AB  - Corporate indebtedness is a powerful tool in determining a company’s financial health with impacts on its image and reputation. The main objective of this research is to study the determining factors in corporate indebtedness in Portugal. It also has the secondary objectives of creating clusters of companies’ behaviour in relation to the use of credit and verifying their differences in relation to the characteristics of the companies. It uses a quantitative methodology based on a questionnaire survey of 1957 Portuguese companies. The results of the factor analysis show the formation of six determining factors in corporate indebtedness, namely the negotiating relationship with banks, financing, cycle and indebtedness, company operating performance, guarantees used to obtain bank financing and financing risk analysis as well as secondary forms of bank financing. The application of cluster analysis to the six factors formed led to the classification of companies into three clusters: the resilient financial cluster, the operational excellence cluster and the strategic financial cluster. There are several statistically significant differences in the corporate financing factors in relation to the clusters to which they belong. The evidence of the factors and clusters explaining company financing provides insights for improving credit access practices and for implementing public policies that facilitate access to credit and promote economic development.
ER  -