Evaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA)
The objective of this research is to determine which are the most efficient states in Mexico. The methodology employed for the evaluation of efficiency is based on non-parametric methods; the data envelopment analysis method, the cross-efficiency matrix methodology that strengthens the DEA methodolo...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/12524
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/13886
https://repositorio.uptc.edu.co/handle/001/12524
- Palabra clave:
- mezcal
eficiencia
DEA
entidades federativas
denominación de origen
mescal
efficiency
DEA
states
designation of origin
- Rights
- License
- Derechos de autor 2022 Alejandro Rodríguez García, Alberto Ortiz Zavala
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2022-06-012024-07-05T18:53:05Z2024-07-05T18:53:05Zhttps://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/1388610.19053/01211048.13886https://repositorio.uptc.edu.co/handle/001/12524The objective of this research is to determine which are the most efficient states in Mexico. The methodology employed for the evaluation of efficiency is based on non-parametric methods; the data envelopment analysis method, the cross-efficiency matrix methodology that strengthens the DEA methodology, and the Wang weighted operators (OWA) methodology (2011) are used. For these measurements, the data provided by the Mezcal Regulatory Council (2017) were utilized. The results show that the most efficient federal entity is Puebla and the least efficient is Oaxaca. Regarding cross-efficiency, it is found that the production of agave, as a raw material, is highly efficient. As a conclusion, it is observed that the efficiency of the states does not depend on the size of the cultivated hectares. Regarding originality, this evaluation of the efficiency of the mezcal industry in the Mexican states uses the DEA methodology, the crossed efficiency matrix methodology and Wang’s Weighted Operators (OWA) in the same study. JEL Codes: C14 Received: 15/01/2022. Accepted: 03/05/2022. Published: 01/06/2022. La presente investigación tiene como objetivo determinar cuáles son las entidades federativas más eficientes en México. La metodología utilizada para la evaluación de la eficiencia es con métodos no paramétricos; se emplea el método de análisis envolvente de datos, la metodología de matriz de eficiencia cruzada que robustece la metodología DEA y la metodología de operadores ponderados de Wang (OWA) (2011). Para realizar estas mediciones se utilizan los datos proporcionados por el Consejo Regulador del Mezcal (2017). Los resultados muestran que la entidad federativa más eficiente es Puebla y la menos eficiente es Oaxaca. Respecto a la eficiencia cruzada, se encuentra que la producción del agave como materia prima es altamente eficiente. Como conclusión, se observa que la eficiencia de las entidades federativas no depende del tamaño de las hectáreas cultivadas. En cuanto a la originalidad, esta evaluación de la eficiencia de la industria del mezcal a las entidades federativas mexicanas utiliza la metodología DEA, la metodología de matriz de eficiencia cruzada y los operadores ponderados de Wang (OWA) en un mismo estudio. Códigos JEL: C14 Recibido: 15/01/2022. Aceptado: 03/05/2022. Publicado: 01/06/2022.application/pdftext/xmlspaspaUnidad Editorial UPTChttps://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/13886/11752https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/13886/12967Derechos de autor 2022 Alejandro Rodríguez García, Alberto Ortiz Zavalahttps://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf50http://purl.org/coar/access_right/c_abf2Inquietud Empresarial; Vol. 22 No. 1 (2022): Inquietud Empresarial 22(1) Enero-Junio 2022; 81-97Inquietud Empresarial; Vol. 22 Núm. 1 (2022): Inquietud Empresarial 22(1) Enero-Junio 2022; 81-970121-1048mezcaleficienciaDEAentidades federativasdenominación de origenmescalefficiencyDEAstatesdesignation of originEvaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA)Evaluación de la eficiencia de la industria del mezcal producida en las entidades federativas de México: un análisis de la envolvente de datos (DEA)info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a133http://purl.org/coar/version/c_970fb48d4fbd8a85Rodríguez García, AlejandroOrtiz Zavala, Alberto001/12524oai:repositorio.uptc.edu.co:001/125242025-07-18 11:31:22.161metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co |
dc.title.en-US.fl_str_mv |
Evaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA) |
dc.title.es-ES.fl_str_mv |
Evaluación de la eficiencia de la industria del mezcal producida en las entidades federativas de México: un análisis de la envolvente de datos (DEA) |
title |
Evaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA) |
spellingShingle |
Evaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA) mezcal eficiencia DEA entidades federativas denominación de origen mescal efficiency DEA states designation of origin |
title_short |
Evaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA) |
title_full |
Evaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA) |
title_fullStr |
Evaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA) |
title_full_unstemmed |
Evaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA) |
title_sort |
Evaluation of the Efficiency of the Mezcal Industry Produced in the Mexican States: a Data Envelopment analysis (DEA) |
dc.subject.es-ES.fl_str_mv |
mezcal eficiencia DEA entidades federativas denominación de origen |
topic |
mezcal eficiencia DEA entidades federativas denominación de origen mescal efficiency DEA states designation of origin |
dc.subject.en-US.fl_str_mv |
mescal efficiency DEA states designation of origin |
description |
The objective of this research is to determine which are the most efficient states in Mexico. The methodology employed for the evaluation of efficiency is based on non-parametric methods; the data envelopment analysis method, the cross-efficiency matrix methodology that strengthens the DEA methodology, and the Wang weighted operators (OWA) methodology (2011) are used. For these measurements, the data provided by the Mezcal Regulatory Council (2017) were utilized. The results show that the most efficient federal entity is Puebla and the least efficient is Oaxaca. Regarding cross-efficiency, it is found that the production of agave, as a raw material, is highly efficient. As a conclusion, it is observed that the efficiency of the states does not depend on the size of the cultivated hectares. Regarding originality, this evaluation of the efficiency of the mezcal industry in the Mexican states uses the DEA methodology, the crossed efficiency matrix methodology and Wang’s Weighted Operators (OWA) in the same study. JEL Codes: C14 Received: 15/01/2022. Accepted: 03/05/2022. Published: 01/06/2022. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2024-07-05T18:53:05Z |
dc.date.available.none.fl_str_mv |
2024-07-05T18:53:05Z |
dc.date.none.fl_str_mv |
2022-06-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a133 |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/13886 10.19053/01211048.13886 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.uptc.edu.co/handle/001/12524 |
url |
https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/13886 https://repositorio.uptc.edu.co/handle/001/12524 |
identifier_str_mv |
10.19053/01211048.13886 |
dc.language.none.fl_str_mv |
spa |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/13886/11752 https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/13886/12967 |
dc.rights.es-ES.fl_str_mv |
Derechos de autor 2022 Alejandro Rodríguez García, Alberto Ortiz Zavala https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf50 |
rights_invalid_str_mv |
Derechos de autor 2022 Alejandro Rodríguez García, Alberto Ortiz Zavala https://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf50 http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf text/xml |
dc.publisher.es-ES.fl_str_mv |
Unidad Editorial UPTC |
dc.source.en-US.fl_str_mv |
Inquietud Empresarial; Vol. 22 No. 1 (2022): Inquietud Empresarial 22(1) Enero-Junio 2022; 81-97 |
dc.source.es-ES.fl_str_mv |
Inquietud Empresarial; Vol. 22 Núm. 1 (2022): Inquietud Empresarial 22(1) Enero-Junio 2022; 81-97 |
dc.source.none.fl_str_mv |
0121-1048 |
institution |
Universidad Pedagógica y Tecnológica de Colombia |
repository.name.fl_str_mv |
Repositorio Institucional UPTC |
repository.mail.fl_str_mv |
repositorio.uptc@uptc.edu.co |
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1839633817021710336 |