Intermediate cities: a Mexico-China comparison

Since their economic reforms, Mexico and China have registered a rapid urban expansion that modified the distribution of the urban system leading to a higher relative weight of the intermediate cities. This paper aims to examine the cities’ size dispersion for both economies in 2005 and 2010, respec...

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Autores:
Neme, Omar
Valderrama, Ana Lilia
Briseño, José Israel
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/16086
Acceso en línea:
http://hdl.handle.net/10784/16086
Palabra clave:
Intermediate cities
Pareto distribution
Zipf’s law
urban GDP
Mexico
China
Ciudades intermedias
Exponente de Pareto
Ley de Zipf
PIB urbano
México
China
Rights
License
Copyright © 2019 Omar Neme, Ana Lilia Valderrama, José Israel Briseño
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dc.title.eng.fl_str_mv Intermediate cities: a Mexico-China comparison
dc.title.spa.fl_str_mv Ciudades intermedias: un comparativo México-China
title Intermediate cities: a Mexico-China comparison
spellingShingle Intermediate cities: a Mexico-China comparison
Intermediate cities
Pareto distribution
Zipf’s law
urban GDP
Mexico
China
Ciudades intermedias
Exponente de Pareto
Ley de Zipf
PIB urbano
México
China
title_short Intermediate cities: a Mexico-China comparison
title_full Intermediate cities: a Mexico-China comparison
title_fullStr Intermediate cities: a Mexico-China comparison
title_full_unstemmed Intermediate cities: a Mexico-China comparison
title_sort Intermediate cities: a Mexico-China comparison
dc.creator.fl_str_mv Neme, Omar
Valderrama, Ana Lilia
Briseño, José Israel
dc.contributor.author.spa.fl_str_mv Neme, Omar
Valderrama, Ana Lilia
Briseño, José Israel
dc.contributor.affiliation.spa.fl_str_mv Instituto Politécnico Nacional
dc.subject.keyword.eng.fl_str_mv Intermediate cities
Pareto distribution
Zipf’s law
urban GDP
Mexico
China
topic Intermediate cities
Pareto distribution
Zipf’s law
urban GDP
Mexico
China
Ciudades intermedias
Exponente de Pareto
Ley de Zipf
PIB urbano
México
China
dc.subject.keyword.spa.fl_str_mv Ciudades intermedias
Exponente de Pareto
Ley de Zipf
PIB urbano
México
China
description Since their economic reforms, Mexico and China have registered a rapid urban expansion that modified the distribution of the urban system leading to a higher relative weight of the intermediate cities. This paper aims to examine the cities’ size dispersion for both economies in 2005 and 2010, respectively. The original and adjusted range-size equation is used in addition to an econometric methodology of Ordinary Least Squares of mobile ranges to estimate the Pareto coefficient. The size is defined according to each city’s GDP of at least 15, 000 inhabitants, instead of using the population as a measure of size, representing an original aspect of the paper. The hypothesis is a Pareto exponent lower than the unit. Estimates by subsamples suggest the existence of relatively equal size distribution of cities in both nations. As the main intermediate cities are grouped into comparatively equitable urban systems, it is accepted that the higher relative economic weight of intermediate cities explains the deviation of the exponent. The main limitation is the availability of data which means a disparity of years between economies.
publishDate 2020
dc.date.issued.none.fl_str_mv 10-12-19
dc.date.available.none.fl_str_mv 2020-04-29T18:35:38Z
dc.date.accessioned.none.fl_str_mv 2020-04-29T18:35:38Z
dc.date.none.fl_str_mv 10-12-19
dc.type.eng.fl_str_mv article
info:eu-repo/semantics/article
publishedVersion
info:eu-repo/semantics/publishedVersion
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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dc.type.local.spa.fl_str_mv Artículo
status_str publishedVersion
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/16086
dc.identifier.doi.none.fl_str_mv 10.17230/map.v8.i15.03
identifier_str_mv 2344-8172
10.17230/map.v8.i15.03
url http://hdl.handle.net/10784/16086
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.isversionof.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/map/article/view/6149
dc.relation.uri.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/map/article/view/6149
dc.rights.eng.fl_str_mv Copyright © 2019 Omar Neme, Ana Lilia Valderrama, José Israel Briseño
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Copyright © 2019 Omar Neme, Ana Lilia Valderrama, José Israel Briseño
Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.spa.fl_str_mv Mundo Asia Pacífico; Vol 8, No 15 (2019)
institution Universidad EAFIT
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spelling 10-12-192020-04-29T18:35:38Z10-12-192020-04-29T18:35:38Z2344-8172http://hdl.handle.net/10784/1608610.17230/map.v8.i15.03Since their economic reforms, Mexico and China have registered a rapid urban expansion that modified the distribution of the urban system leading to a higher relative weight of the intermediate cities. This paper aims to examine the cities’ size dispersion for both economies in 2005 and 2010, respectively. The original and adjusted range-size equation is used in addition to an econometric methodology of Ordinary Least Squares of mobile ranges to estimate the Pareto coefficient. The size is defined according to each city’s GDP of at least 15, 000 inhabitants, instead of using the population as a measure of size, representing an original aspect of the paper. The hypothesis is a Pareto exponent lower than the unit. Estimates by subsamples suggest the existence of relatively equal size distribution of cities in both nations. As the main intermediate cities are grouped into comparatively equitable urban systems, it is accepted that the higher relative economic weight of intermediate cities explains the deviation of the exponent. The main limitation is the availability of data which means a disparity of years between economies.Desde sus reformas económicas, México y China han registrado rápidas expansiones urbanas que modificaron la distribución de sus sistemas urbanísticos, llevando a un mayor peso relativo de las ciudades intermedias. El documento tiene como objetivo examinar la dispersión del tamaño de ciudades para ambas economías en 2005 y 2010, respectivamente. Se emplea la ecuación de rango-tamaño, original y ajustada, y se sigue una metodología econométrica de Mínimos Cuadrados Ordinarios de rangos móviles para estimar el coeficiente de Pareto. El tamaño se define en función del PIB de cada ciudad de al menos 15.000 habitantes, esto representa un aspecto original del documento, pues considera esa dimensión de la urbe desde una perspectiva diferente al de la población. La hipótesis es un exponente Pareto inferior a la unidad. Las estimaciones por submuestras sugieren la existencia de una distribución del tamaño de las ciudades relativamente equitativa en ambas naciones. Como las principales ciudades intermedias se agrupan en sistemas urbanos comparativamente equitativos, se acepta que la desviación del exponente se explica por el mayor peso económico relativo de las ciudades intermedias. La principal limitación es la disponibilidad de datos que significa una disparidad de años entre las economías.application/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/map/article/view/6149http://publicaciones.eafit.edu.co/index.php/map/article/view/6149Copyright © 2019 Omar Neme, Ana Lilia Valderrama, José Israel BriseñoAcceso abiertohttp://purl.org/coar/access_right/c_abf2Mundo Asia Pacífico; Vol 8, No 15 (2019)Intermediate cities: a Mexico-China comparisonCiudades intermedias: un comparativo México-Chinaarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Intermediate citiesPareto distributionZipf’s lawurban GDPMexicoChinaCiudades intermediasExponente de ParetoLey de ZipfPIB urbanoMéxicoChinaNeme, Omare6264721-f5de-48d0-a46f-36ce289f46bd-1Valderrama, Ana Liliaf9f14be7-7e5d-4cbe-be64-6f9167f9bab0-1Briseño, José Israel04570e33-be56-4d23-97e8-53752d8ab003-1Instituto Politécnico NacionalMundo Asia Pacífico8154258THUMBNAILminaitura-map_Mesa de trabajo 1.jpgminaitura-map_Mesa de trabajo 1.jpgimage/jpeg193168https://repository.eafit.edu.co/bitstreams/d1070d9b-e334-4bbc-8db5-d69b886a6d05/downloadbba97f39db3eff6ef515d9ceb3aa4910MD51ORIGINALdocument - 2020-05-06T133327.050.pdfdocument - 2020-05-06T133327.050.pdfTexto completo PDFapplication/pdf492329https://repository.eafit.edu.co/bitstreams/4c2a506d-c7ec-446b-94d0-f31d2be8db51/download35bec489fd8c09d1b44c80d1ce3be6ddMD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html367https://repository.eafit.edu.co/bitstreams/7696e780-5656-4c2d-9c4c-789a67ab372b/download8693d5904b6947758b7bff69ec9a0993MD5310784/16086oai:repository.eafit.edu.co:10784/160862024-12-04 11:50:09.663open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co