Potential of mitigation of carbon dioxide in the consumption of electricity of the residential sector in Cuba
Article Sidebar
Main Article Content
Abstract
Even with measures to reduce emissions and strengthen political will at the international level, global CO2 concentrations break record every year, reaching 400 ppm in 2014. Although global national emissions are not representative (0.1% of all global GHG emissions), we must adopt mitigation commitments in order to honor the new "Paris Agreement", which will come into effect from 2020 The objective of this research is to determine the efficiency in the use of electricity by province and the potential of energy saving and mitigation of carbon dioxide emissions resulting from the improvement of electricity efficiency for the Cuban residential sector. This study presents scientific value because it estimates the efficiency by provinces to determine the mitigation potential of GHG emissions, which are very convenient and timely information to determine the participation of the sector in the efforts to reduce emissions resulting from future commitments that Political authorities of the country will be forced to honor. In addition, the impacts of climate change on the demand for electricity in the residential sector will be determined. The results obtained allow us to accept the hypothesis that the use of stochastic frontier models for the estimation of electricity use efficiency in the Cuban residential sector, is a more robust procedure to obtain electricity saving and mitigation potentials of associated carbon dioxide emissions.
Downloads
Article Details
Those authors who have publications with this journal accept the following terms of the License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0):
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
The journal is not responsible for the opinions and concepts expressed in the works, they are the sole responsibility of the authors. The Editor, with the assistance of the Editorial Committee, reserves the right to suggest or request advisable or necessary modifications. They are accepted to publish original scientific papers, research results of interest that have not been published or sent to another journal for the same purpose.
The mention of trademarks of equipment, instruments or specific materials is for identification purposes, and there is no promotional commitment in relation to them, neither by the authors nor by the publisher.
References
CMNUCC (2015): “21 Período de sesiones de la Conferencia de las Partes” (on line: http://unfccc.int/resource/docs/2015/cop21/spa/l09s.pdf)
Filippini M., L. C. Hunt (2010) (a): “US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach”. ISSN 1749-8384. Surrey Energy Economics Discussion paper Series (SEEDS) 130. Surrey Energy Economics Centre (SEEC). Departament of Economics. University of Surrey, Guildford, UK. pp. 30
Greene W. H. (2005): “Reconsidering heterogeneity in panel data estimators of the stochastic frontier model”. Journal of Econometrics, 126. pp 269-303.
IPCC, 2015: “Cambio Climático 2014 – mitigación del cambio climático. Contribución del Grupo de trabajo III al Quinto Informe de Evaluación del Grupo Intergubernamental de Expertos sobre el Cambio Climático”. Suiza. pp. 40.
Jondrow J., C. Lovell, I. Materov, P. Schmidt (1982): “On the estimation of technical efficiency in the stochastic production function model”. Journal of Econometrics 19. pp. 233-328.
Planos E., Vega R., Guevara A., Editores (2013) Impactos del Cambio Climático y medidas de adaptación en Cuba. ISBN: 978-959-300-039-0. Instituto de Meteorología, Agencia de Medio Ambiente y Tecnología. La Habana. Cuba. pp. 430.
Rey O., (2015): Comunicación personal. Diciembre de 2015.
Somoza J., J. A. Baños, M. Llorca (2013): “La medición de la eficiencia energética y su contribución a la mitigación de emisiones de CO2, para 26 países de América Latina y el Caribe”. ISBN 978-959-300-034-5. III Congreso de Cambio Climático, Memorias de la IX Convención Internacional sobre Medio Ambiente y Desarrollo. La Habana, Cuba.