Risk of survival of commercial micro and small enterprises
DOI:
https://doi.org/10.11606/rco.v5i11.34788Keywords:
Micro and small enterprises, Risk in survival, Logistic regressionAbstract
This study was carried out to investigate the conditioning factors of risk in survival of the weaving stores of Resende Costa (MG). The data come from a survey in 69 stores, held last July 2009. According to SEBRAE (2007), Lussie e Corman (2006) e Ercolin (2006), the model of logistic regression was used and the dependent variable was formed from variables that could reproduce the organization and structure of the enterprises. The model was significant for all tests of significance, with a predictive power of 94.2%. The variables that represent the 'growing trend of trading', 'product innovation', 'time in the market', 'courses and training' defined the function that allows the prediction of enterprises most likely to survive in the marketplace. Thus this study showed a contribution to studies about mortality of micro and small enterprises, suggesting geographical expansion of both the sample and the variables.Downloads
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