Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis

Descripción del Articulo

Documento de trabajo; 478
Detalles Bibliográficos
Autores: Palomino, Juan, Rodríguez, Gabriel
Formato: documento de trabajo
Fecha de Publicación:2019
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.pucp.edu.pe:20.500.14657/176219
Enlace del recurso:http://repositorio.pucp.edu.pe/index/handle/123456789/176219
http://doi.org/10.18800/2079-8474.0478
Nivel de acceso:acceso abierto
Materia:Regional Convergence
Regional Spillovers
Spatial Dependence Modeling
Spatial Panel Data Models
Clusters of Convergence
http://purl.org/pe-repo/ocde/ford#5.02.00
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dc.title.es_ES.fl_str_mv Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis
title Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis
spellingShingle Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis
Palomino, Juan
Regional Convergence
Regional Spillovers
Spatial Dependence Modeling
Spatial Panel Data Models
Clusters of Convergence
http://purl.org/pe-repo/ocde/ford#5.02.00
title_short Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis
title_full Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis
title_fullStr Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis
title_full_unstemmed Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis
title_sort Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis
author Palomino, Juan
author_facet Palomino, Juan
Rodríguez, Gabriel
author_role author
author2 Rodríguez, Gabriel
author2_role author
dc.contributor.author.fl_str_mv Palomino, Juan
Rodríguez, Gabriel
dc.subject.es_ES.fl_str_mv Regional Convergence
Regional Spillovers
Spatial Dependence Modeling
Spatial Panel Data Models
Clusters of Convergence
topic Regional Convergence
Regional Spillovers
Spatial Dependence Modeling
Spatial Panel Data Models
Clusters of Convergence
http://purl.org/pe-repo/ocde/ford#5.02.00
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#5.02.00
description Documento de trabajo; 478
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2021-05-04T23:31:07Z
dc.date.available.none.fl_str_mv 2021-05-04T23:31:07Z
dc.date.issued.fl_str_mv 2019-03
dc.type.none.fl_str_mv info:eu-repo/semantics/workingPaper
dc.type.other.none.fl_str_mv Documento de trabajo
format workingPaper
dc.identifier.uri.none.fl_str_mv http://repositorio.pucp.edu.pe/index/handle/123456789/176219
dc.identifier.doi.none.fl_str_mv http://doi.org/10.18800/2079-8474.0478
url http://repositorio.pucp.edu.pe/index/handle/123456789/176219
http://doi.org/10.18800/2079-8474.0478
dc.language.iso.es_ES.fl_str_mv eng
language eng
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urn:issn:2079-8474
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dc.publisher.es_ES.fl_str_mv Pontificia Universidad Católica del Perú. Departamento de Economía
dc.publisher.country.none.fl_str_mv PE
dc.source.none.fl_str_mv reponame:PUCP-Institucional
instname:Pontificia Universidad Católica del Perú
instacron:PUCP
instname_str Pontificia Universidad Católica del Perú
instacron_str PUCP
institution PUCP
reponame_str PUCP-Institucional
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spelling Palomino, JuanRodríguez, Gabriel2021-05-04T23:31:07Z2021-05-04T23:31:07Z2019-03http://repositorio.pucp.edu.pe/index/handle/123456789/176219http://doi.org/10.18800/2079-8474.0478Documento de trabajo; 478This paper analyzes the process of spatial convergence of growth in Peruís 24 regions over 1979- 2017. We perform an exploratory analysis of spatial data with global and local statistics, such as Moran I, to provide empirical evidence of spatial dependencies in regional per capita GDP. We then estimate the convergence equation using spatial panel models that control for spatial heterogeneity and spatial interdependence, as well as other structural economic features at the regional level. The empirical results show that spatial convergence is a very reliable conclusion over this period, and prove that spatial regional per capita GDP spillovers play an essential role in determining growth at the local level. Furthermore, the Spatial Durbin model is preferred in the formation of four clusters of convergence. The Örst cluster is highly productive and dynamic; the second cluster is composed by Jungle and negative-productivity regions; the third cluster is formed by moderately productive and Coast regions; and the fourth cluster is composed by stagnating and Highland regions. Finally, these results may be instrumental in giving greater focus to long-run government policies targeting stagnant and poor regions.engPontificia Universidad Católica del Perú. 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