Las limitaciones al financiamiento bancario de las Pymes de alta tecnología

• Autores: María Belen Guercio, Lisana B. Martínez, Hernán Pedro Vigier
• Localización: Estudios Gerenciales: Journal of Management and Economics for Iberoamerica, ISSN 0123-5923, Vol. 33, Nº. 142, 2017, págs. 3-12
• Idioma: español
• DOI: 10.1016/j.estger.2017.02.001
• Enlaces
  • Texto completo (pdf)
• Dialnet Métricas: 6 Citas
• Resumen
  • español

    El objetivo de este trabajo es analizar el efecto del grado de intensidad tecnológica asociado a las Pymes en el acceso al financiamiento. Por lo tanto, se estima un modelo Logit ordenado considerando un conjunto de variables independientes como el tamaño de la empresa, la antigüedad, la capacidad exportadora y la intensidad tecnológica asociada al sector. Los resultados obtenidos muestran que la intensidad tecnológica de la empresa resulta ser la variable que más impacta en la probabilidad de financiarse en el sector bancario. Esta conclusión es relevante para Argentina, dado que, a diferencia de otros países emergentes, las empresas no cuentan con instrumentos alternativos al financiamiento bancario que se adapten a las características propias de las Pymes de alta tecnología.

  • English

    The aim of this paper is to analyze whether the technological intensity level associated with the company affects financial access. The methodology applied is an ordered logit model considering a set of variables such as company size, age, export capacity and technological intensity associated to the company’s sector. The results show that the technological intensity of the company turns out to be the variable that most affects the probability of financing itself in the banking sector. This conclusion is relevant to Argentina, given that, if compared to others emerging markets, SMEs do not have alternative instruments to bank financing suitable to the characteristics of high technological SMEs.

  • português

    O objetivo deste artigo é analisar o efeito do grau de intensidade tecnológica associada com as PME no acesso ao financiamento. Portanto, um modelo Logit ordenado e utilizado considerando um conjunto de variáveis independentes, tais como o tamanho da empresa, a experiência, a capacidade de exportac¸ ão e a intensidade tecnológica associada ao setor. Os resultados mostram que a intensidade tecnológica da empresa passa a ser a variável que mais afeta a probabilidade de financiamento do sector bancário. Essa conclusão é relevante para a Argentina, uma vez que, ao contrário de outros países emergentes, as empresas não têm os instrumentos alternativos de financiamento bancário para atender as características das PME de alta tecnologia.

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