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...
- 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 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.spa.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
2344-8172 |
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) |
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Universidad EAFIT |
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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 |