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/10400.6/11516 |
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 coefficient; (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 effects of specialization and diversification on productivity, considering, in simultaneous terms, different 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 effect of productivity. In addition, the most specialized micro-firms affect productivity significantly and positively, while the least specialized have the opposite effect. Small, less specialized companies have a significant and negative effect on productivity, contrasting with less specialized, medium-sized companies, which affect 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 coefficient; (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 effects of specialization and diversification on productivity, considering, in simultaneous terms, different 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 effect of productivity. In addition, the most specialized micro-firms affect productivity significantly and positively, while the least specialized have the opposite effect. Small, less specialized companies have a significant and negative effect on productivity, contrasting with less specialized, medium-sized companies, which affect 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.This research was funded by the project EMaDeS—Energy, Material, and Sustainable Development EU/CCDRC/FEDER (Brussels/Coimbra, Central Region, Portugal) 2017 to 2021|Central-01-0145-FEDER-000017This research was funded by the project EMaDeS—Energy, Material, and Sustainable Development EU/CCDRC/FEDER (Brussels/Coimbra, Central Region, Portugal) 2017 to 2021|Central-01-0145-FEDER-000017.uBibliorumBrito, Sónia deLeitão, João2021-12-29T10:46:19Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/11516engde Brito, S., & Leitão, J. (2020). Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens. Entropy, 22(11), 1271. https://doi.org/10.3390/e22111271https://doi.org/10.3390/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:RCAAP2023-12-15T09:54:02Zoai:ubibliorum.ubi.pt:10400.6/11516Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:51:17.418671Repositório 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 Brito, Sónia de 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 |
Brito, Sónia de |
author_facet |
Brito, Sónia de Leitão, João |
author_role |
author |
author2 |
Leitão, João |
author2_role |
author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Brito, Sónia de 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 coefficient; (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 effects of specialization and diversification on productivity, considering, in simultaneous terms, different 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 effect of productivity. In addition, the most specialized micro-firms affect productivity significantly and positively, while the least specialized have the opposite effect. Small, less specialized companies have a significant and negative effect on productivity, contrasting with less specialized, medium-sized companies, which affect 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 2020-01-01T00:00:00Z 2021-12-29T10:46:19Z |
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/10400.6/11516 |
url |
http://hdl.handle.net/10400.6/11516 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
de Brito, S., & Leitão, J. (2020). Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens. Entropy, 22(11), 1271. https://doi.org/10.3390/e22111271 https://doi.org/10.3390/e22111271 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
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 |
repository.mail.fl_str_mv |
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1799136402096521216 |