Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/44924 |
Resumo: | This study analyzes the productive structure of Portugal in the period 2013–2017, using indicators of localization and specialization applied to 308 Portuguese local authorities. From an empirical approach using a threshold model, the following indicators are used: (i) localization quotient; (ii) specialization coe cient; (iii) Theil entropy index; (iv) rate of industrialization; and (v) the density of establishments by business size. The selected period 2013–2017 is due to the available data concerning firms located per local authority, and the choice of threshold model is justified through the possibility of assessing the non-linear e ects of specialization and diversification on productivity, considering, in simultaneous terms, di erent regimes per business size. Estimation of the threshold model identified a positive, statistically significant relation between industrialization and productivity. Similarly, the terms of interaction between exports and diversification, and between the former and higher education institutions, shows a catalyzing e ect of productivity. In addition, the most specialized micro-firms a ect productivity significantly and positively, while the least specialized have the opposite e ect. Small, less specialized companies have a significant and negative e ect on productivity, contrasting with less specialized, medium-sized companies, which a ect productivity positively. For large firms, the impact on productivity is negative for both high and low levels of specialization, reinforcing the need to fill existing gaps in strategic diversification, as well as the vertical and horizontal integration of the activities of production chains with high value added. |
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Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy LensconcentrationdiversificationentropyspecializationThis study analyzes the productive structure of Portugal in the period 2013–2017, using indicators of localization and specialization applied to 308 Portuguese local authorities. From an empirical approach using a threshold model, the following indicators are used: (i) localization quotient; (ii) specialization coe cient; (iii) Theil entropy index; (iv) rate of industrialization; and (v) the density of establishments by business size. The selected period 2013–2017 is due to the available data concerning firms located per local authority, and the choice of threshold model is justified through the possibility of assessing the non-linear e ects of specialization and diversification on productivity, considering, in simultaneous terms, di erent regimes per business size. Estimation of the threshold model identified a positive, statistically significant relation between industrialization and productivity. Similarly, the terms of interaction between exports and diversification, and between the former and higher education institutions, shows a catalyzing e ect of productivity. In addition, the most specialized micro-firms a ect productivity significantly and positively, while the least specialized have the opposite e ect. Small, less specialized companies have a significant and negative e ect on productivity, contrasting with less specialized, medium-sized companies, which a ect productivity positively. For large firms, the impact on productivity is negative for both high and low levels of specialization, reinforcing the need to fill existing gaps in strategic diversification, as well as the vertical and horizontal integration of the activities of production chains with high value added.MDPIRepositório da Universidade de LisboaDe Brito, SoniaLeitão, João2020-11-18T14:52:41Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/44924engBrito, S. de, Leitão, J. (2020). Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens. Entropy, 22, 1271 1099-430010.3390/e22111271info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:46:17Zoai:repositorio.ul.pt:10451/44924Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:57:25.221603Repositório 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 |
Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens |
title |
Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens |
spellingShingle |
Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens De Brito, Sonia concentration diversification entropy specialization |
title_short |
Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens |
title_full |
Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens |
title_fullStr |
Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens |
title_full_unstemmed |
Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens |
title_sort |
Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens |
author |
De Brito, Sonia |
author_facet |
De Brito, Sonia Leitão, João |
author_role |
author |
author2 |
Leitão, João |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
De Brito, Sonia Leitão, João |
dc.subject.por.fl_str_mv |
concentration diversification entropy specialization |
topic |
concentration diversification entropy specialization |
description |
This study analyzes the productive structure of Portugal in the period 2013–2017, using indicators of localization and specialization applied to 308 Portuguese local authorities. From an empirical approach using a threshold model, the following indicators are used: (i) localization quotient; (ii) specialization coe cient; (iii) Theil entropy index; (iv) rate of industrialization; and (v) the density of establishments by business size. The selected period 2013–2017 is due to the available data concerning firms located per local authority, and the choice of threshold model is justified through the possibility of assessing the non-linear e ects of specialization and diversification on productivity, considering, in simultaneous terms, di erent regimes per business size. Estimation of the threshold model identified a positive, statistically significant relation between industrialization and productivity. Similarly, the terms of interaction between exports and diversification, and between the former and higher education institutions, shows a catalyzing e ect of productivity. In addition, the most specialized micro-firms a ect productivity significantly and positively, while the least specialized have the opposite e ect. Small, less specialized companies have a significant and negative e ect on productivity, contrasting with less specialized, medium-sized companies, which a ect productivity positively. For large firms, the impact on productivity is negative for both high and low levels of specialization, reinforcing the need to fill existing gaps in strategic diversification, as well as the vertical and horizontal integration of the activities of production chains with high value added. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-18T14:52:41Z 2020 2020-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/44924 |
url |
http://hdl.handle.net/10451/44924 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Brito, S. de, Leitão, J. (2020). Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens. Entropy, 22, 1271 1099-4300 10.3390/e22111271 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
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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 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134517216149504 |