Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru
Descripción del Articulo
This paper studies the potential association between two geographic indicators, distance and altitude, with the Multidimensional Poverty Index (MPI) for 1,874 district in Peru by using the National Census of 2017. We investigate whether higher altitude or longer distance is associated with higher MP...
Autor: | |
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Formato: | artículo |
Fecha de Publicación: | 2023 |
Institución: | Pontificia Universidad Católica del Perú |
Repositorio: | PUCP-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.pucp.edu.pe:20.500.14657/195336 |
Enlace del recurso: | https://revistas.pucp.edu.pe/index.php/economia/article/view/27315/25586 https://doi.org/10.18800/economia.202301.001 |
Nivel de acceso: | acceso abierto |
Materia: | Altitude Distance Multidimensional Poverty Index https://purl.org/pe-repo/ocde/ford#5.02.01 |
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Delgado, Augusto2023-08-25T14:45:30Z2023-08-25T21:32:46Z2023-08-25T14:45:30Z2023-08-25T21:32:46Z2023-08-23https://revistas.pucp.edu.pe/index.php/economia/article/view/27315/25586https://doi.org/10.18800/economia.202301.001This paper studies the potential association between two geographic indicators, distance and altitude, with the Multidimensional Poverty Index (MPI) for 1,874 district in Peru by using the National Census of 2017. We investigate whether higher altitude or longer distance is associated with higher MPI values. For this purpose, we use the distance of each district to three different potential spaces of reference. First, we use the shortest distance to the metropolitan area of Lima; second, the shortest distance to the capitals of coastal departments; third, and finally, the shortest distance to the sea. We obtain three relevant results. First, we find evidence that altitude is statistically significant and positive associated with variation of MPI among districts. Second, the distance with respect to the sea appears to be more relevant to explaining differences in MPI than the distance to the Metropolitan area or coastal departmental capitals. Finally, we find evidence of spatial externalities of MPI across districts which also seem to be stronger than the direct effect of altitude and distance.application/pdfengPontificia Universidad Católica del PerúPEurn:issn:2304-4306urn:issn:0254-4415info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Economía; Volume 46 Issue 91 (2023)reponame:PUCP-Institucionalinstname:Pontificia Universidad Católica del Perúinstacron:PUCPAltitudeDistanceMultidimensional Poverty Indexhttps://purl.org/pe-repo/ocde/ford#5.02.01Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peruinfo:eu-repo/semantics/articleArtículo20.500.14657/195336oai:repositorio.pucp.edu.pe:20.500.14657/1953362024-09-18 12:32:30.799https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessmetadata.onlyhttps://repositorio.pucp.edu.peRepositorio Institucional de la PUCPrepositorio@pucp.pe |
dc.title.en_US.fl_str_mv |
Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru |
title |
Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru |
spellingShingle |
Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru Delgado, Augusto Altitude Distance Multidimensional Poverty Index https://purl.org/pe-repo/ocde/ford#5.02.01 |
title_short |
Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru |
title_full |
Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru |
title_fullStr |
Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru |
title_full_unstemmed |
Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru |
title_sort |
Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru |
author |
Delgado, Augusto |
author_facet |
Delgado, Augusto |
author_role |
author |
dc.contributor.author.fl_str_mv |
Delgado, Augusto |
dc.subject.en_US.fl_str_mv |
Altitude Distance Multidimensional Poverty Index |
topic |
Altitude Distance Multidimensional Poverty Index https://purl.org/pe-repo/ocde/ford#5.02.01 |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#5.02.01 |
description |
This paper studies the potential association between two geographic indicators, distance and altitude, with the Multidimensional Poverty Index (MPI) for 1,874 district in Peru by using the National Census of 2017. We investigate whether higher altitude or longer distance is associated with higher MPI values. For this purpose, we use the distance of each district to three different potential spaces of reference. First, we use the shortest distance to the metropolitan area of Lima; second, the shortest distance to the capitals of coastal departments; third, and finally, the shortest distance to the sea. We obtain three relevant results. First, we find evidence that altitude is statistically significant and positive associated with variation of MPI among districts. Second, the distance with respect to the sea appears to be more relevant to explaining differences in MPI than the distance to the Metropolitan area or coastal departmental capitals. Finally, we find evidence of spatial externalities of MPI across districts which also seem to be stronger than the direct effect of altitude and distance. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-08-25T14:45:30Z 2023-08-25T21:32:46Z |
dc.date.available.none.fl_str_mv |
2023-08-25T14:45:30Z 2023-08-25T21:32:46Z |
dc.date.issued.fl_str_mv |
2023-08-23 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.other.none.fl_str_mv |
Artículo |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://revistas.pucp.edu.pe/index.php/economia/article/view/27315/25586 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.18800/economia.202301.001 |
url |
https://revistas.pucp.edu.pe/index.php/economia/article/view/27315/25586 https://doi.org/10.18800/economia.202301.001 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
urn:issn:2304-4306 urn:issn:0254-4415 |
dc.rights.es_ES.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.es_ES.fl_str_mv |
Pontificia Universidad Católica del Perú |
dc.publisher.country.none.fl_str_mv |
PE |
dc.source.es_ES.fl_str_mv |
Economía; Volume 46 Issue 91 (2023) |
dc.source.none.fl_str_mv |
reponame:PUCP-Institucional instname:Pontificia Universidad Católica del Perú instacron:PUCP |
instname_str |
Pontificia Universidad Católica del Perú |
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PUCP |
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PUCP |
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PUCP-Institucional |
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PUCP-Institucional |
repository.name.fl_str_mv |
Repositorio Institucional de la PUCP |
repository.mail.fl_str_mv |
repositorio@pucp.pe |
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13.959421 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).