Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countries

Studying the evolution of the efficiency of the electricity generation sector is a relevant task for policy makers, and requires the undesirable outputs derived from the activity to be considered inthe evaluation. In this work, we propose a dynamic slack-based Data Envelopment Analysis (DEA) model t...

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Autores: Cuadros , Sebastián, Yeny E, Rodríguez, Contreras Sanz, Javier
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/39983
Acceso en línea:https://hdl.handle.net/10578/39983
Access Level:acceso abierto
Palabra clave:Dynamic DEA
Efficiency measurement
Undesirable outputs
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spelling Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countriesCuadros , SebastiánYeny E, RodríguezContreras Sanz, JavierDynamic DEAEfficiency measurementUndesirable outputsStudying the evolution of the efficiency of the electricity generation sector is a relevant task for policy makers, and requires the undesirable outputs derived from the activity to be considered inthe evaluation. In this work, we propose a dynamic slack-based Data Envelopment Analysis (DEA) model that incorporates the assumption of weak disposability between the generation of electricityfrom fossil sources and the CO2 emissions caused by the sector to measure the technical efficiency of 24 Latin American and Caribbean countries in the period 2000–2016. The results show that, of the total number of countries studied, four are efficient overall, and four groupings of countries in relation to the levels of efficiency achieved are also identified. These results are important given that less-efficient countries can, through learning, increase their efficiency in electricity generation or emulate the future strategies proposed by the most efficient countries.MDPI202520252020info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/10578/39983reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/399832026-05-27T07:36:41Z
dc.title.none.fl_str_mv Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countries
title Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countries
spellingShingle Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countries
Cuadros , Sebastián
Dynamic DEA
Efficiency measurement
Undesirable outputs
title_short Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countries
title_full Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countries
title_fullStr Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countries
title_full_unstemmed Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countries
title_sort Dynamic data envelopment analysis model of power generation: Latin America and the Caribbean countries
dc.creator.none.fl_str_mv Cuadros , Sebastián
Yeny E, Rodríguez
Contreras Sanz, Javier
author Cuadros , Sebastián
author_facet Cuadros , Sebastián
Yeny E, Rodríguez
Contreras Sanz, Javier
author_role author
author2 Yeny E, Rodríguez
Contreras Sanz, Javier
author2_role author
author
dc.subject.none.fl_str_mv Dynamic DEA
Efficiency measurement
Undesirable outputs
topic Dynamic DEA
Efficiency measurement
Undesirable outputs
description Studying the evolution of the efficiency of the electricity generation sector is a relevant task for policy makers, and requires the undesirable outputs derived from the activity to be considered inthe evaluation. In this work, we propose a dynamic slack-based Data Envelopment Analysis (DEA) model that incorporates the assumption of weak disposability between the generation of electricityfrom fossil sources and the CO2 emissions caused by the sector to measure the technical efficiency of 24 Latin American and Caribbean countries in the period 2000–2016. The results show that, of the total number of countries studied, four are efficient overall, and four groupings of countries in relation to the levels of efficiency achieved are also identified. These results are important given that less-efficient countries can, through learning, increase their efficiency in electricity generation or emulate the future strategies proposed by the most efficient countries.
publishDate 2020
dc.date.none.fl_str_mv 2020
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10578/39983
url https://hdl.handle.net/10578/39983
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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