An estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisions
In this paper, we estimate the Total Factor Productivity (TFP) for 11 departments and 20 industrial divisions in Colombia during the period 2012-2016. To this end, we employ a semiparametric method proposed by Levinsohn and Petrin (2003), using official information of the Encuesta Anual Manufacturer...
- Autores:
-
Rivera Arbeláez, Mateo Andrés
Torres Garcia, Alejandro
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/15914
- Acceso en línea:
- http://hdl.handle.net/10784/15914
- Palabra clave:
- total factor productivity
manufacturing sector
production function
semiparametric estimation.
productividad total factorial
función de producción
industria manufacturera
- Rights
- License
- Acceso abierto
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Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2020-03-11T14:22:30Z2020-03-112020-03-11T14:22:30Zhttp://hdl.handle.net/10784/15914D24C14L6In this paper, we estimate the Total Factor Productivity (TFP) for 11 departments and 20 industrial divisions in Colombia during the period 2012-2016. To this end, we employ a semiparametric method proposed by Levinsohn and Petrin (2003), using official information of the Encuesta Anual Manufacturera –EAM (Annual Manufacturing Survey), which considers microdata information of most Colombian manufacturing firms. The departments of Bolivar, Bogotá, Cundinamarca and Antioquia exhibits the higher productivity growth during the period, in contrast with Valle del Cauca, Cauca and Tolima, which shows the lowest performance. In terms of industrial divisions, it stands out the Manufacture of pharmaceuticals, medicinal chemical and botanical products; Manufacture of chemicals and chemical products and Manufacture of electrical equipment; while traditional sectors as Manufacture of food products, beverages and textiles reports the lower productivity growth levels. This results remarks the importance to implement policies that helps to improve the industrial performance of some strategic sectors as a way to close the income gap between regions.Este trabajo realiza una estimación de la Productividad Total Factorial para 11 departamentos y 20 divisiones industriales en Colombia durante el período 2012-2016, utilizando información de la Encuesta Anual Manufacturera del DANE y usando el método semi-paramétrico propuesto por Levinsohn y Petrin (2003) para este fin. Los resultados muestran que los departamentos de Bolívar, Bogotá, Cundinamarca y Antioquia presentaron niveles de productividad superiores a la media nacional, mientras Valle del Cauca, Cauca y Tolima, fueron los de más bajo desempeño. En cuanto a sectores industriales, se destacan los altos niveles de productividad en la producción de farmacéuticos y sustancias químicas medicinales; aparatos y equipo eléctrico y fabricación de sustancias y productos químicos. Por el contrario, sectores tradicionales como fabricación de productos textiles, elaboración de alimentos, productos metalúrgicos básicos y elaboración de bebidas, presentaron bajos niveles de productividad, comparado con la media nacional. Estos resultados ponen de relieve la importancia de desarrollar políticas públicas focalizadas en aquellos sectores promisorios y regiones más relegadas, como manera de impulsar el desarrollo industrial y cerrar las brechas de ingresos y calidad de vida entre regiones.spaUniversidad EAFITEscuela de Economía y FinanzasAn estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisionsworkingPaperinfo:eu-repo/semantics/workingPaperDocumento de trabajo de investigacióndrafthttp://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_8042Acceso abiertohttp://purl.org/coar/access_right/c_abf2total factor productivitymanufacturing sectorproduction functionsemiparametric estimation.productividad total factorialfunción de producciónindustria manufactureramariveraa@eafit.edu.coatorres7@eafit.edu.coRivera Arbeláez, Mateo Andrés2dd9c91a-b763-4a75-8580-c3890e364de8-1Torres Garcia, Alejandroe5a133cc-647d-404f-abbb-5192ecf93072-1LICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/c2d8bfc6-037b-455a-ad99-570e3ceaec45/download76025f86b095439b7ac65b367055d40cMD51ORIGINALWP-2020-10_Alejandro Torres.pdfWP-2020-10_Alejandro Torres.pdfapplication/pdf2027418https://repository.eafit.edu.co/bitstreams/5c72c1f6-1fe4-4c11-beb8-c6bdb7767169/download296c6bb36a65a1989d47bdd06cc9b2a1MD5210784/15914oai:repository.eafit.edu.co:10784/159142024-12-04 11:48:07.353open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.eng.fl_str_mv |
An estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisions |
title |
An estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisions |
spellingShingle |
An estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisions total factor productivity manufacturing sector production function semiparametric estimation. productividad total factorial función de producción industria manufacturera |
title_short |
An estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisions |
title_full |
An estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisions |
title_fullStr |
An estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisions |
title_full_unstemmed |
An estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisions |
title_sort |
An estimate of Total Factorial Productivity in Colombia at the level of departments and industrial divisions |
dc.creator.fl_str_mv |
Rivera Arbeláez, Mateo Andrés Torres Garcia, Alejandro |
dc.contributor.eafitauthor.none.fl_str_mv |
mariveraa@eafit.edu.co atorres7@eafit.edu.co |
dc.contributor.author.none.fl_str_mv |
Rivera Arbeláez, Mateo Andrés Torres Garcia, Alejandro |
dc.subject.keyword.eng.fl_str_mv |
total factor productivity manufacturing sector production function semiparametric estimation. |
topic |
total factor productivity manufacturing sector production function semiparametric estimation. productividad total factorial función de producción industria manufacturera |
dc.subject.keyword.spa.fl_str_mv |
productividad total factorial función de producción industria manufacturera |
description |
In this paper, we estimate the Total Factor Productivity (TFP) for 11 departments and 20 industrial divisions in Colombia during the period 2012-2016. To this end, we employ a semiparametric method proposed by Levinsohn and Petrin (2003), using official information of the Encuesta Anual Manufacturera –EAM (Annual Manufacturing Survey), which considers microdata information of most Colombian manufacturing firms. The departments of Bolivar, Bogotá, Cundinamarca and Antioquia exhibits the higher productivity growth during the period, in contrast with Valle del Cauca, Cauca and Tolima, which shows the lowest performance. In terms of industrial divisions, it stands out the Manufacture of pharmaceuticals, medicinal chemical and botanical products; Manufacture of chemicals and chemical products and Manufacture of electrical equipment; while traditional sectors as Manufacture of food products, beverages and textiles reports the lower productivity growth levels. This results remarks the importance to implement policies that helps to improve the industrial performance of some strategic sectors as a way to close the income gap between regions. |
publishDate |
2020 |
dc.date.available.none.fl_str_mv |
2020-03-11T14:22:30Z |
dc.date.issued.none.fl_str_mv |
2020-03-11 |
dc.date.accessioned.none.fl_str_mv |
2020-03-11T14:22:30Z |
dc.type.eng.fl_str_mv |
workingPaper info:eu-repo/semantics/workingPaper |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_8042 |
dc.type.local.spa.fl_str_mv |
Documento de trabajo de investigación |
dc.type.hasVersion.eng.fl_str_mv |
draft |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/15914 |
dc.identifier.jel.none.fl_str_mv |
D24 C14 L6 |
url |
http://hdl.handle.net/10784/15914 |
identifier_str_mv |
D24 C14 L6 |
dc.language.iso.eng.fl_str_mv |
spa |
language |
spa |
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 |
Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.coverage.spatial.eng.fl_str_mv |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.publisher.department.spa.fl_str_mv |
Escuela de Economía y Finanzas |
institution |
Universidad EAFIT |
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https://repository.eafit.edu.co/bitstreams/c2d8bfc6-037b-455a-ad99-570e3ceaec45/download https://repository.eafit.edu.co/bitstreams/5c72c1f6-1fe4-4c11-beb8-c6bdb7767169/download |
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repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
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