Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru

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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...

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Detalles Bibliográficos
Autor: Delgado, Augusto
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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spelling 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
instacron_str PUCP
institution PUCP
reponame_str PUCP-Institucional
collection PUCP-Institucional
repository.name.fl_str_mv Repositorio Institucional de la PUCP
repository.mail.fl_str_mv repositorio@pucp.pe
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