Measuring structural upgrading: applying principal component analysis in a global value chain framework

Detalhes bibliográficos
Autor(a) principal: Costa, Kaio Vital da
Data de Publicação: 2022
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/4195
Resumo: The main objective of the article is to analyze, based on the analysis of principal components and data grouping, the relationship between structural upgrading indicators and the inclusion of those countries in the GVCs for a group of 43 countries. To achieve this objective, the study builds six upgrading indicators in three dimensions: product, process and functional. In addition to these six indicators, the study uses an indicator that measures the complexity of countries' productive structures. The results show that structural complexity has a positive and statistically significant relationship with the share of wages in income, and more capital-intensive countries also have higher levels of labor productivity and employment associated with exports. The study also shows a diversity of development patterns related to participation in GVCs and the structural upgrading process
id SCI-1_8b0653aff84763257216ec8cf29e14b4
oai_identifier_str oai:ops.preprints.scielo.org:preprint/4195
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling Measuring structural upgrading: applying principal component analysis in a global value chain framework Medindo upgrading estrutural: uma análise a partir de componentes principaiscadeias globais de valorupgrading industrialinsumo-produtoglobal value chainsindustrial upgradinginput-output analysisThe main objective of the article is to analyze, based on the analysis of principal components and data grouping, the relationship between structural upgrading indicators and the inclusion of those countries in the GVCs for a group of 43 countries. To achieve this objective, the study builds six upgrading indicators in three dimensions: product, process and functional. In addition to these six indicators, the study uses an indicator that measures the complexity of countries' productive structures. The results show that structural complexity has a positive and statistically significant relationship with the share of wages in income, and more capital-intensive countries also have higher levels of labor productivity and employment associated with exports. The study also shows a diversity of development patterns related to participation in GVCs and the structural upgrading processO objetivo geral do artigo é investigar, a partir da análise de componentes principais e agrupamento de dados, a relação entre os indicadores de upgrading estrutural e a inserção daqueles países nas CGVs para um grupo de 43 países. Para a realização desse objetivo, o estudo constrói seis indicadores de upgrading em três dimensões: produto, processo e funcional. Além desses seis indicadores, o estudo utiliza um indicador que mede a complexidade das estruturas produtivas dos países. Os resultados mostram que a complexidade estrutural possui uma relação positiva e estatisticamente significativa com a participação dos salários na renda, e países mais intensivos em capital também apresentam maiores níveis de produtividade do trabalho e emprego associados às exportações. O estudo mostra ainda uma diversidade de padrões de desenvolvimento relacionados à participação nas CGVs e ao processo de upgrading estrutural.SciELO PreprintsSciELO PreprintsSciELO Preprints2022-05-30info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/419510.1590/0103-6351/6960porhttps://preprints.scielo.org/index.php/scielo/article/view/4195/7952Copyright (c) 2022 Kaio Vital da Costahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCosta, Kaio Vital dareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2022-05-30T13:58:58Zoai:ops.preprints.scielo.org:preprint/4195Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2022-05-30T13:58:58SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Measuring structural upgrading: applying principal component analysis in a global value chain framework
Medindo upgrading estrutural: uma análise a partir de componentes principais
title Measuring structural upgrading: applying principal component analysis in a global value chain framework
spellingShingle Measuring structural upgrading: applying principal component analysis in a global value chain framework
Costa, Kaio Vital da
cadeias globais de valor
upgrading industrial
insumo-produto
global value chains
industrial upgrading
input-output analysis
title_short Measuring structural upgrading: applying principal component analysis in a global value chain framework
title_full Measuring structural upgrading: applying principal component analysis in a global value chain framework
title_fullStr Measuring structural upgrading: applying principal component analysis in a global value chain framework
title_full_unstemmed Measuring structural upgrading: applying principal component analysis in a global value chain framework
title_sort Measuring structural upgrading: applying principal component analysis in a global value chain framework
author Costa, Kaio Vital da
author_facet Costa, Kaio Vital da
author_role author
dc.contributor.author.fl_str_mv Costa, Kaio Vital da
dc.subject.por.fl_str_mv cadeias globais de valor
upgrading industrial
insumo-produto
global value chains
industrial upgrading
input-output analysis
topic cadeias globais de valor
upgrading industrial
insumo-produto
global value chains
industrial upgrading
input-output analysis
description The main objective of the article is to analyze, based on the analysis of principal components and data grouping, the relationship between structural upgrading indicators and the inclusion of those countries in the GVCs for a group of 43 countries. To achieve this objective, the study builds six upgrading indicators in three dimensions: product, process and functional. In addition to these six indicators, the study uses an indicator that measures the complexity of countries' productive structures. The results show that structural complexity has a positive and statistically significant relationship with the share of wages in income, and more capital-intensive countries also have higher levels of labor productivity and employment associated with exports. The study also shows a diversity of development patterns related to participation in GVCs and the structural upgrading process
publishDate 2022
dc.date.none.fl_str_mv 2022-05-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/4195
10.1590/0103-6351/6960
url https://preprints.scielo.org/index.php/scielo/preprint/view/4195
identifier_str_mv 10.1590/0103-6351/6960
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/4195/7952
dc.rights.driver.fl_str_mv Copyright (c) 2022 Kaio Vital da Costa
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Kaio Vital da Costa
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047828597440512

Registros relacionados