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dc.contributor.authorNiembro, Andrés Alberto-
dc.contributor.authorCalá, Daniela-
dc.date.accessioned2023-11-07T12:34:45Z-
dc.date.available2023-11-07T12:34:45Z-
dc.date.issued2021-
dc.identifier.citationNiembro, A. y Calá, D. (2021). "Approximating the impact of COVID–19 on regional production in countries with scarce subnational data: A proposal and application for Argentina during the first wave". REGION, Vol. 8, No. 2. https://doi.org/10.18335/region.v8i2.351es_ES
dc.identifier.issn2409-5370es_ES
dc.identifier.otherhttps://openjournals.wu.ac.at/ojs/index.php/region/article/view/351es_ES
dc.identifier.urihttp://rid.unrn.edu.ar/handle/20.500.12049/10957-
dc.description.abstractIn this paper we propose an index to approximate the territorial economic impact of the COVID–19 pandemic in contexts with scarce or outdated regional data, which is often the case in developing countries. This index is based on data that are usually available in most countries: a) the sectoral productive structure of the regions, b) the operational level of each sector, c) the mobility of workers in each region, and d) the possibility of remote work among sectors. The empirical application for Argentina describes the impact of the pandemic on regional production during the second and third quarters of 2020, both for the provinces and labor market areas. Our results show that the regional impact of COVID–19 on private economic activity was highly heterogeneous between and within provinces. The proposed index is also highly correlated with sporadic official data coming from national agencies, while it has a wider geographical and temporal scope, especially in terms of labor market areas.es_ES
dc.format.extentp. 167-186es_ES
dc.language.isoenes_ES
dc.publisherERSAes_ES
dc.relation.urihttps://openjournals.wu.ac.at/ojs/index.php/region/indexes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/-
dc.titleApproximating the impact of COVID–19 on regional production in countries with scarce subnational data: A proposal and application for Argentina during the first wavees_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 (CITECDE). Río Negro; Argentina.es_ES
dc.description.filiationCalá, Daniela. Universidad Nacional de Mar del Plata. Buenos Aires; Argentina.es_ES
dc.subject.keywordCOVID-19es_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.materiaEconomía y Contabilidades_ES
dc.origin.lugarDesarrolloUniversidad Nacional de Río Negroes_ES
dc.relation.journalissue8 (2)es_ES
dc.description.reviewtruees_ES
dc.description.resumenIn this paper we propose an index to approximate the territorial economic impact of the COVID–19 pandemic in contexts with scarce or outdated regional data, which is often the case in developing countries. This index is based on data that are usually available in most countries: a) the sectoral productive structure of the regions, b) the operational level of each sector, c) the mobility of workers in each region, and d) the possibility of remote work among sectors. The empirical application for Argentina describes the impact of the pandemic on regional production during the second and third quarters of 2020, both for the provinces and labor market areas. Our results show that the regional impact of COVID–19 on private economic activity was highly heterogeneous between and within provinces. The proposed index is also highly correlated with sporadic official data coming from national agencies, while it has a wider geographical and temporal scope, especially in terms of labor market areas.es_ES
dc.identifier.doihttps://doi.org/10.18335/region.v8i2.351-
dc.relation.journalTitleREGIONes_ES
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