Factores de las dificultades de financiación de las PyMES en Latinoamérica

This article provides an analysis of the determinants of credit constraints in Latin American SMEs, for which each firm has been classified as NCC (Not Credit Constrained) if it has enough capital and FCC (Full Credit Constrained) if it has applied for bank credit but it was rejected or if it has no...

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Autores principales: Morini Marrero, Sandra, Solari, Estefanía
Formato: Articulo
Lenguaje:Español
Publicado: 2015
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/49961
http://revistas.unlp.edu.ar/CADM/article/view/1143
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id I19-R120-10915-49961
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Económicas
JEL: M10
América Latina
pequeña empresa
financiación
PyMEs
restricción de crédito
SMEs
credit constraints
spellingShingle Ciencias Económicas
JEL: M10
América Latina
pequeña empresa
financiación
PyMEs
restricción de crédito
SMEs
credit constraints
Morini Marrero, Sandra
Solari, Estefanía
Factores de las dificultades de financiación de las PyMES en Latinoamérica
topic_facet Ciencias Económicas
JEL: M10
América Latina
pequeña empresa
financiación
PyMEs
restricción de crédito
SMEs
credit constraints
description This article provides an analysis of the determinants of credit constraints in Latin American SMEs, for which each firm has been classified as NCC (Not Credit Constrained) if it has enough capital and FCC (Full Credit Constrained) if it has applied for bank credit but it was rejected or if it has not applied for external banking founds due to the terms and conditions.In this investigation the Enterprise Survey (ES) 2010 from the World Bank was used and Latin American SMEs were selected. In order to provide proofs about, which are the variables that influence in the probability of being NCC, a logistic regression analysis was made. This analysis was broken down in two levels: for each subsample country and in a general way. In this last case, firstly it was carried out a cluster analysis in order to group the countries and take into account their differences in terms of economic development and banking sector structure was carried out.In relation, to the logistic regression results, it can be highlighted that the variables “Quality-Certification”, “Sector” and “Sales Level” are significant (p <0,01, p <0,01 y p <0,05, respectively) and all of them have a positive relationship with the dependent variable (NCC).
format Articulo
Articulo
author Morini Marrero, Sandra
Solari, Estefanía
author_facet Morini Marrero, Sandra
Solari, Estefanía
author_sort Morini Marrero, Sandra
title Factores de las dificultades de financiación de las PyMES en Latinoamérica
title_short Factores de las dificultades de financiación de las PyMES en Latinoamérica
title_full Factores de las dificultades de financiación de las PyMES en Latinoamérica
title_fullStr Factores de las dificultades de financiación de las PyMES en Latinoamérica
title_full_unstemmed Factores de las dificultades de financiación de las PyMES en Latinoamérica
title_sort factores de las dificultades de financiación de las pymes en latinoamérica
publishDate 2015
url http://sedici.unlp.edu.ar/handle/10915/49961
http://revistas.unlp.edu.ar/CADM/article/view/1143
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