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dc.contributor.authorNiembro, Andrés Alberto-
dc.contributor.authorCalá, Carla Daniela-
dc.date.accessioned2025-12-15T13:04:57Z-
dc.date.available2025-12-15T13:04:57Z-
dc.date.issued2024-08-
dc.identifier.citationNiembro, A. y Calá, D. (2024). “Regional structural change in Argentina (1996-2019): concepts, measurements and unequal trajectories over the business cycle”. Regional Science Policy & Practice, Vol. 16, No. 8.es_ES
dc.identifier.issn1757-7802es_ES
dc.identifier.urihttp://rid.unrn.edu.ar/handle/20.500.12049/13790-
dc.description.abstractAlthough multiple studies on structural change can be found at the national level, the definition of structural change is far from univocal and its subnational manifestations remain underexplored. This paper empirically examines the patterns of regional structural change in Argentina according to the four main definitions used in the literature (not only productive diversification, predominant in the economic geography field), highlighting the differences that arise when applying these concepts. Based on employment data for 85 labor market areas (LMAs) throughout the 1996-2019 period, we propose different criteria to apply and measure the four definitions and to classify the heterogeneous trajectories of structural change in LMAs, including cluster analysis. As the business cycle is a critical dimension in such an unstable economy, we examine the entire period and compare two sub-periods with very different economic dynamics. The results show that the identification of structural change depends on the concepts and measures used, the unit of analysis (national versus regional) and the type of economic cycle. These findings call for context- and place-based policies.es_ES
dc.format.extentp. 100068es_ES
dc.language.isoenes_ES
dc.publisherElSevieres_ES
dc.relation.urihttps://www.sciencedirect.com/journal/regional-science-policy-and-practicees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/-
dc.titleRegional structural change in Argentina (1996-2019): concepts, measurements and unequal trajectories over the business cyclees_ES
dc.typeArticuloes_ES
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)-
dc.description.filiationNiembro, Andrés Alberto. Universidad Nacional de Río Negro. Instituto de Estudios en Ciencia, Tecnología, Cultura y Desarrollo (UNRN-CITECDE). CONICET. Río Negro, Argentina.es_ES
dc.description.filiationCalá, Carla Daniela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Económicas y Sociales. Buenos Aires; Argentina.es_ES
dc.subject.keywordRegional structural changees_ES
dc.subject.keywordproductivityes_ES
dc.subject.keywordtechnological intensityes_ES
dc.subject.keywordvalue addedes_ES
dc.subject.keywordregional diversificationes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.materiaGeografía (cultural y económica)es_ES
dc.origin.lugarDesarrolloUniversidad Nacional de Río Negro. Instituto de Estudios en Ciencia, Tecnología, Cultura y Desarrollo (CITECDE)es_ES
dc.relation.journalissue16 (8)es_ES
dc.description.reviewtruees_ES
dc.description.resumenAlthough multiple studies on structural change can be found at the national level, the definition of structural change is far from univocal and its subnational manifestations remain underexplored. This paper empirically examines the patterns of regional structural change in Argentina according to the four main definitions used in the literature (not only productive diversification, predominant in the economic geography field), highlighting the differences that arise when applying these concepts. Based on employment data for 85 labor market areas (LMAs) throughout the 1996-2019 period, we propose different criteria to apply and measure the four definitions and to classify the heterogeneous trajectories of structural change in LMAs, including cluster analysis. As the business cycle is a critical dimension in such an unstable economy, we examine the entire period and compare two sub-periods with very different economic dynamics. The results show that the identification of structural change depends on the concepts and measures used, the unit of analysis (national versus regional) and the type of economic cycle. These findings call for context- and place-based policies.es_ES
dc.identifier.doihttps://doi.org/10.1016/j.rspp.2024.100068-
dc.relation.journalTitleRegional Science Policy & Practicees_ES
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