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Determinants of Energy Efficiency: Evidence from the Brics Group (1990-2018)

Determinantes de la eficiencia energética: evidencia del grupo Brics (1990-2018);
Determinantes da eficiência energética: provas do grupo Brics (1990-2018)

dc.contributor.authorOrtega, Digna
dc.contributor.authorContreras, José
dc.coverage.spatialLat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.date.accessioned2024-01-23T16:05:55Z
dc.date.available2024-01-23T16:05:55Z
dc.date.created2022-08-16
dc.identifier.issn0120-6346
dc.identifier.urihttp://hdl.handle.net/11407/8243
dc.descriptionThis study aims to estimate the level of energy efficiency and its socioeconomic determinants in Brazil, Russia, India, China and South Africa during the period 1990-2018. The Input Distance Function is estimated to obtain energy efficiency levels under the approach of Stochastic Frontier Analysis with data panel, through different econometric specifications. Results suggest that the model proposed by Kumbhakar et al. (2012) is the most appropriate because it allows the estimation of transitory and persistent efficiency, as well as unobserved heterogeneity and the term of the idiosyncratic error. An increase in the aggregate price of energy and industrial value added was found to adversely affect the variability of the transitory inefficiency. In addition, China and India presented the greatest potential savings in energy consumption and associated emissions CO2 in the long term, while in the short term, China and Russia have the greatest potential savings; China is on average, among the lowest efficient country in the sample.eng
dc.descriptionEste artículo tiene como objetivo presentar evidencias de las estimaciones del nivel de eficiencia energética y sus determinantes socioeconómicos de los países Brasil, Rusia, India, China y Sudáfrica en el periodo 1990-2018. Se estimó la función de distancia insumo para obtener los niveles de eficiencia energética bajo el enfoque del análisis de frontera estocástica con panel de datos, a través de diferentes especificaciones econométricas. Los resultados sugieren que el modelo propuesto por Kumbhakar et al. (2012) es el más adecuado debido a que permite la estimación de la eficiencia transitoria y persistente, así como también, la heterogeneidad no observada y del término de error idiosincrático. Se encontró que un incremento del precio agregado de la energía y valor agregado industrial afectan negativamente a la variabilidad de la ineficiencia transitoria. Además, China e India presentaron los mayores ahorros potenciales en el consumo de energía y en las emisiones de CO2 asociadas en el largo plazo, mientras que en el corto plazo China y Rusia tienen el mayor ahorro potencial; siendo China el país que presenta uno de los menores promedios de eficiencia persistente y transitoria entre la muestra de países.spa
dc.descriptionEste artigo visa apresentar provas sobre as estimativas do nível de eficiência energética e os seus determinantes socioeconómicos para os países Brasil, Rússia, Índia, China e África do Sul durante o período 1990-2018. A função de distância de entrada para obter níveis de eficiência energética foi estimada sob a abordagem de análise de fronteira estocástica com dados de painel, utilizando especificações econométricas diferentes. Os resultados sugerem que o modelo proposto por Kumbhakar et al. (2012) é o mais apropriado porque permite a estimativa de eficiência transitória e persistente, bem como a heterogeneidade não observada e o termo de erro idiossincrático. Verificou-se que um aumento do preço agregado da energia e do valor acrescentado industrial afecta negativamente a variabilidade da ineficiência transitória. Além disso, a China e a Índia apresentaram o maior potencial de poupança no consumo de energia e as emissões associadas CO2 a longo prazo, enquanto a curto prazo a China e a Rússia apresentam o maior potencial de poupança; com a China a apresentar uma das mais baixas médias de eficiência persistente e transitória entre a amostra de países.por
dc.formatPDF
dc.format.extentp. 282-319
dc.format.mediumElectrónico
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad de Medellín
dc.relation.ispartofseriesSemestre Económico; Vol. 24 No. 57 (2021)
dc.relation.haspartSemestre Económico; Vol. 24 Núm. 57 julio-diciembre 2021
dc.relation.urihttps://revistas.udem.edu.co/index.php/economico/article/view/4114
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0*
dc.sourceSemestre Económico; Vol. 24 No. 57 (2021): (julio-diciembre); 282-319
dc.subjectEnergy efficiencyeng
dc.subjectInput distance functioneng
dc.subjectEnvironmental economicseng
dc.subjectEnergyeng
dc.subjectEnergy and macroeconomyeng
dc.subjectBricseng
dc.subjectEficiencia energéticaspa
dc.subjectFunción de distancia insumospa
dc.subjectEconomía ambientalspa
dc.subjectEnergíaspa
dc.subjectEnergía y macroeconomíaspa
dc.subjectBricsspa
dc.subjectEficiência energéticapor
dc.subjectFunção de distância de entradapor
dc.subjectEconomia ambientalpor
dc.subjectEnergiapor
dc.subjectEnergia e macroeconomiapor
dc.subjectBricspor
dc.titleDeterminants of Energy Efficiency: Evidence from the Brics Group (1990-2018)eng
dc.titleDeterminantes de la eficiencia energética: evidencia del grupo Brics (1990-2018)spa
dc.titleDeterminantes da eficiência energética: provas do grupo Brics (1990-2018)por
dc.typearticle
dc.identifier.doihttps://doi.org/10.22395/seec.v24n57a14
dc.relation.citationvolume24
dc.relation.citationissue57
dc.relation.citationstartpage282
dc.relation.citationendpage319
dc.audienceComunidad Universidad de Medellín
dc.publisher.facultyFacultad de Ciencias Económicas y Administrativas
dc.publisher.placeMedellín
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dc.rights.creativecommonsAttribution-NonCommercial-NoDerivatives 4.0 International*
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículo científico
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dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
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