Capital structure models vs econometric models evidence about sme's in Huambo Province – Angola
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.37334/ricts.v3i2.37 |
Resumo: | The present work aims to study the determinants of Huambo province SME’s capital structure, assessing the relevance and validity of the key attributes suggested by the literature as determinants of capital structure and test the explanatory power of each of those in the corporate debt ratios. To achieve this objective, financial information of 35 companies based in Huambo province - Angola were empirically analyzed. Companies were classified into four sectors according to the NACE Rev1, for the period between 2012 and 2016. Based on the application of a multiple linear regression model of random effect, our results indicate that for Huambo companies the following prevail: (i) company growth does not influences debt; (ii) regarding to the company size, overall, the greater the company, higher will be company debt; (iii) asset structure positively influences the debt levels its low significance; (iv) in terms of income, it was concluded that it does not determine firm debt, given that they prefer self-financing; (v) as profit variability, contrary to what was expected, it determines the medium and long term and total debt; (vi) with respect to the business sector, it was noted that it has a significant influence on average debt level of Huambo companies. |
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Capital structure models vs econometric models evidence about sme's in Huambo Province – AngolaModelos de Estrutura de Capital VS Modelos Econométricos: evidências sobre as PME’S da Província do Huambo – AngolaCapital structureDebt determinantsSmall and medium sized enterprisesEconometrics modelsEstrutura de capitalDeterminantes da dívidaPequenas e médias empresasModelos econométricosThe present work aims to study the determinants of Huambo province SME’s capital structure, assessing the relevance and validity of the key attributes suggested by the literature as determinants of capital structure and test the explanatory power of each of those in the corporate debt ratios. To achieve this objective, financial information of 35 companies based in Huambo province - Angola were empirically analyzed. Companies were classified into four sectors according to the NACE Rev1, for the period between 2012 and 2016. Based on the application of a multiple linear regression model of random effect, our results indicate that for Huambo companies the following prevail: (i) company growth does not influences debt; (ii) regarding to the company size, overall, the greater the company, higher will be company debt; (iii) asset structure positively influences the debt levels its low significance; (iv) in terms of income, it was concluded that it does not determine firm debt, given that they prefer self-financing; (v) as profit variability, contrary to what was expected, it determines the medium and long term and total debt; (vi) with respect to the business sector, it was noted that it has a significant influence on average debt level of Huambo companies.O presente trabalho tem como objetivo estudar os determinantes da estrutura de capital da PME da província do Huambo, avaliando a relevância e a validade dos principais atributos sugeridos pela literatura como determinantes da estrutura de capital e testar o poder explicativo de cada um dos índices de dívida das empresas. Para atingir este objetivo, foram analisadas empiricamente informações financeiras de 35 empresas sediadas na província do Huambo - Angola. As empresas foram classificadas em quatro setores, de acordo com a NACE Rev1, para o período entre 2012 e 2016. Com base na aplicação de um modelo de regressão linear múltipla de efeito aleatório, nossos resultados indicam que, para as empresas do Huambo, prevalecem os seguintes: (i) crescimento da empresa não influencia a dívida; (ii) em relação ao tamanho da empresa, em geral, quanto maior a empresa, maior será a dívida da empresa; (iii) a estrutura de ativos influencia positivamente os níveis de endividamento, sua baixa significância; (iv) em termos de receita, concluiu-se que não determina dívida firme, uma vez que prefere o autofinanciamento; (v) como variabilidade do lucro, contrariamente ao esperado, determina a dívida de médio e longo prazo e total; (vi) em relação ao setor de negócios, observou-se que ele tem uma influência significativa no nível médio de endividamento das empresas do Huambo.MUNDIS2020-08-05T00:00:00Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.37334/ricts.v3i2.37oai:ojs2.ricts.mundis.pt:article/37Revista Internacional de Ciências, Tecnologia e Sociedade; Vol. 3 No. 2 (2020): RICTS | 7.ª Edição ; 76-96RICTS | Revista Internacional de Ciências, Tecnologia e Sociedade; Vol. 3 N.º 2 (2020): RICTS | 7.ª Edição ; 76-962184-4577reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://ricts.mundis.pt/index.php/ricts/article/view/37https://doi.org/10.37334/ricts.v3i2.37https://ricts.mundis.pt/index.php/ricts/article/view/37/30Direitos de Autor (c) 2020 Revista Internacional de Ciências, Tecnologia e Sociedadeinfo:eu-repo/semantics/openAccessLeonardo, Tadeu Fecayamale2022-09-05T15:04:34Zoai:ojs2.ricts.mundis.pt:article/37Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:33:18.422677Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Capital structure models vs econometric models evidence about sme's in Huambo Province – Angola Modelos de Estrutura de Capital VS Modelos Econométricos: evidências sobre as PME’S da Província do Huambo – Angola |
title |
Capital structure models vs econometric models evidence about sme's in Huambo Province – Angola |
spellingShingle |
Capital structure models vs econometric models evidence about sme's in Huambo Province – Angola Leonardo, Tadeu Fecayamale Capital structure Debt determinants Small and medium sized enterprises Econometrics models Estrutura de capital Determinantes da dívida Pequenas e médias empresas Modelos econométricos |
title_short |
Capital structure models vs econometric models evidence about sme's in Huambo Province – Angola |
title_full |
Capital structure models vs econometric models evidence about sme's in Huambo Province – Angola |
title_fullStr |
Capital structure models vs econometric models evidence about sme's in Huambo Province – Angola |
title_full_unstemmed |
Capital structure models vs econometric models evidence about sme's in Huambo Province – Angola |
title_sort |
Capital structure models vs econometric models evidence about sme's in Huambo Province – Angola |
author |
Leonardo, Tadeu Fecayamale |
author_facet |
Leonardo, Tadeu Fecayamale |
author_role |
author |
dc.contributor.author.fl_str_mv |
Leonardo, Tadeu Fecayamale |
dc.subject.por.fl_str_mv |
Capital structure Debt determinants Small and medium sized enterprises Econometrics models Estrutura de capital Determinantes da dívida Pequenas e médias empresas Modelos econométricos |
topic |
Capital structure Debt determinants Small and medium sized enterprises Econometrics models Estrutura de capital Determinantes da dívida Pequenas e médias empresas Modelos econométricos |
description |
The present work aims to study the determinants of Huambo province SME’s capital structure, assessing the relevance and validity of the key attributes suggested by the literature as determinants of capital structure and test the explanatory power of each of those in the corporate debt ratios. To achieve this objective, financial information of 35 companies based in Huambo province - Angola were empirically analyzed. Companies were classified into four sectors according to the NACE Rev1, for the period between 2012 and 2016. Based on the application of a multiple linear regression model of random effect, our results indicate that for Huambo companies the following prevail: (i) company growth does not influences debt; (ii) regarding to the company size, overall, the greater the company, higher will be company debt; (iii) asset structure positively influences the debt levels its low significance; (iv) in terms of income, it was concluded that it does not determine firm debt, given that they prefer self-financing; (v) as profit variability, contrary to what was expected, it determines the medium and long term and total debt; (vi) with respect to the business sector, it was noted that it has a significant influence on average debt level of Huambo companies. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-05T00:00:00Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.37334/ricts.v3i2.37 oai:ojs2.ricts.mundis.pt:article/37 |
url |
https://doi.org/10.37334/ricts.v3i2.37 |
identifier_str_mv |
oai:ojs2.ricts.mundis.pt:article/37 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ricts.mundis.pt/index.php/ricts/article/view/37 https://doi.org/10.37334/ricts.v3i2.37 https://ricts.mundis.pt/index.php/ricts/article/view/37/30 |
dc.rights.driver.fl_str_mv |
Direitos de Autor (c) 2020 Revista Internacional de Ciências, Tecnologia e Sociedade info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos de Autor (c) 2020 Revista Internacional de Ciências, Tecnologia e Sociedade |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MUNDIS |
publisher.none.fl_str_mv |
MUNDIS |
dc.source.none.fl_str_mv |
Revista Internacional de Ciências, Tecnologia e Sociedade; Vol. 3 No. 2 (2020): RICTS | 7.ª Edição ; 76-96 RICTS | Revista Internacional de Ciências, Tecnologia e Sociedade; Vol. 3 N.º 2 (2020): RICTS | 7.ª Edição ; 76-96 2184-4577 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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