Artículo

Mapping scientific production on predictive models of insolvency in Brazil

Resumen

In Brazil, the most prominent insolvency prediction models are those of Kanitz (1978), Altman (1979), Matias (1978), Elizabetsky (1976) and Silva (1982), which have inspired scientific production in this regard. , especially in the last 20 years. However, the number of literature reviews or bibliometric mappings in this area is still low, with a representation of only 5% of the works gathered in this research. In this context, with the objective of answering about the accuracy of the reliability of Brazilian predictive models indicated in the literature, this research carried out a bibliometric mapping based on the CAPES and SPELL bibliographic databases. Forty-two articles resulting from the search for the terms “insolvency” and “forecasting models” in the aforementioned databases were extracted and analyzed. The results indicate that researchers of predictive models frequently made a relationship between them and the financial and business market; and that most of the researches carried out had as objective the construction of a new predictive model, being the probable reason for this presented in the answer to the question of this article: it was found that the accuracy of the reliability of the already existing predictive models is not satisfactory. Thus, this research, which is qualitative, contributes to the mapping of work on insolvency prediction developed in Brazil and to the understanding of its thematic outline.
He, Xiaona (58653364300); Chen, Huiting (58753097200); Zhu, Xinyu (58753327700); Gao, Wei (37052008600)
Non-pharmaceutical interventions in containing COVID-19 pandemic after the roll-out of coronavirus vaccines: a systematic review
2024
10.1186/s12889-024-18980-2
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195438657&doi=10.1186%2fs12889-024-18980-2&partnerID=40&md5=ebc1c69bc6884a90e4758fc81966bfd7
Department of Epidemiology and Health Statistics, School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Preventive Medicine and Public Health, Nanchang University, No. 461, Bayi Ave,, Nanchang, 330006, China
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