Cargando…

Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens

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) sp...

Descripción completa

Detalles Bibliográficos
Autores principales: de Brito, Sónia, Leitão, João
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712297/
https://www.ncbi.nlm.nih.gov/pubmed/33287038
http://dx.doi.org/10.3390/e22111271
_version_ 1783618342497550336
author de Brito, Sónia
Leitão, João
author_facet de Brito, Sónia
Leitão, João
author_sort de Brito, Sónia
collection PubMed
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.
format Online
Article
Text
id pubmed-7712297
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77122972021-02-24 Spatial and Sectoral Determinants of Productivity: An Empirical Approach Using an Entropy Lens de Brito, Sónia Leitão, João Entropy (Basel) Article 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. MDPI 2020-11-09 /pmc/articles/PMC7712297/ /pubmed/33287038 http://dx.doi.org/10.3390/e22111271 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Brito, Sónia
Leitão, João
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
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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712297/
https://www.ncbi.nlm.nih.gov/pubmed/33287038
http://dx.doi.org/10.3390/e22111271
work_keys_str_mv AT debritosonia spatialandsectoraldeterminantsofproductivityanempiricalapproachusinganentropylens
AT leitaojoao spatialandsectoraldeterminantsofproductivityanempiricalapproachusinganentropylens