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http://repositorio.ugto.mx/handle/20.500.12059/6589
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DC Field | Value | Language |
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dc.rights.license | http://creativecommons.org/licenses/by-nc-nd/4.0 | es_MX |
dc.creator | RAMIRO FLORES XOLOCOTZI | es_MX |
dc.date.accessioned | 2022-08-25T19:08:12Z | - |
dc.date.available | 2022-08-25T19:08:12Z | - |
dc.date.issued | 2022-03-09 | - |
dc.identifier.uri | http://repositorio.ugto.mx/handle/20.500.12059/6589 | - |
dc.description.abstract | Se realizó una prueba de la hipótesis de curva de Kuznets para residuos sólidos urbanos per cápita en 208 municipios del Estado de México e Hidalgo en cinco periodos de tiempo (2010-2018). Se emplearon como variables independientes el producto interno bruto (PIB) y la densidad poblacional (DP) municipal. Los datos se transformaron con logaritmos naturales. Se hicieron estimaciones por efectos fijos. Empero, para autocorrelación y heterocedasticidad, se recurrió a los métodos de Prais-Winsten y mínimos cuadrados generalizados factibles. Aunque la literatura recomienda Prais-Winsten para tiempos cortos, no hay consenso a favor de algún método. Mediante Prais-Winsten no se encontró relación significativa entre residuos y PIB. En comparación, con el método generalizado se encontró una relación lineal positiva. En ambos métodos la densidad es positivamente significativa. Se concluye que no hay evidencia de curva de Kuznets; no obstante, futuras investigaciones deberán estudiar la curva en más municipios mexicanos. | es_MX |
dc.language.iso | spa | es_MX |
dc.publisher | Universidad de Guanajuato | es_MX |
dc.relation | https://doi.org/10.15174/au.2022.3161 | - |
dc.rights | info:eu-repo/semantics/openAccess | es_MX |
dc.source | Acta Universitaria: Multidisciplinary Scientific Journal. Vol. 32 (2022) | es_MX |
dc.title | rueba de hipótesis de la curva ambiental de Kuznets para residuos sólidos urbanos en municipios del Estado de México e Hidalgo 2010-2018 | es_MX |
dc.title.alternative | Hypothesis test of the environmental Kuznets curve for urban solid waste in municipalities of the State of Mexico and Hidalgo 2010-2018 | en |
dc.type | info:eu-repo/semantics/article | es_MX |
dc.creator.id | info:eu-repo/dai/mx/cvu/84482 | es_MX |
dc.subject.cti | info:eu-repo/classification/cti/7 | es_MX |
dc.subject.cti | info:eu-repo/classification/cti/33 | - |
dc.subject.cti | info:eu-repo/classification/cti/3308 | - |
dc.subject.keywords | Residuos sólidos | es_MX |
dc.subject.keywords | Ingreso | es_MX |
dc.subject.keywords | Municipios | es_MX |
dc.subject.keywords | Datos de panel | es_MX |
dc.subject.keywords | Desacoplamiento | es_MX |
dc.subject.keywords | Estado de México | es_MX |
dc.subject.keywords | Hidalgo | es_MX |
dc.subject.keywords | Solid waste | en |
dc.subject.keywords | Test data | en |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_MX |
dc.creator.two | SERGIO GABRIEL CEBALLOS PEREZ | es_MX |
dc.creator.idtwo | info:eu-repo/dai/mx/cvu/50041 | es_MX |
dc.description.abstractEnglish | A test of the Kuznets curve hypothesis for urban solid waste per capita was carried out in 208 municipalities of Estado de Mexico and Hidalgo, Mexico, in five time periods (2010-2018). Municipal gross domestic product (GDP) and population density were used as independent variables. Data were transformed with natural logarithms. Fixed effect estimates were made. However, due to autocorrelation and heteroscedasticity, the Prais-Winsten and feasible generalized least squares methods were used. Although the literature recommends Prais-Winsten for short periods, there is no consensus in favor of any method. Prais-Winsten did not show a significant relationship between residuals and GDP. In comparison, the generalized method revealed a positive linear relationship between both variables. In both methods the density is positively significant. It is concluded that there is no evidence of a Kuznets curve in the data studied; however, future research should study the Kuznets curve in more Mexican municipalities. | en |
Appears in Collections: | Revista Acta Universitaria |
Files in This Item:
File | Description | Size | Format | |
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FLORES-XOLOCOTZI.pdf | 958.85 kB | Adobe PDF | View/Open |
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