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The Data Envelopment Analysis to Determine Efficiency of Latin American Countries for Greenhouse Gases Control in Electric Power Generation

Author

Listed:
  • Leadina Sanchez

    (Universidad Polit cnica Salesiana, Quito, Ecuador)

  • Carmen V squez

    (Departamento de Ingenier a El ctrica, Universidad Nacional Experimental Polit cnica Antonio Jos de Sucre , Vicerrectorado Barquisimeto, Venezuela,)

  • Amelec Viloria

    (Universidad de la Costa, Barranquilla, Colombia.)

Abstract

The objective of this research is to determine the efficiency of Latin American countries for the control of GHG emissions due to the generation of electrical energy using the Data Envelopment Analysis (DEA). A positivist epistemic position is assumed, and a methodology of evaluative character is used, comprising five (5) phases. The results show that the countries that are located on the efficient frontier have common police like the increase in the share of renewable energies, and diversification of the energy matrix, which means a better control of GHG emissions. It is possible to determine the efficiency of the public policies established by the countries of Latin America for the control of GHG emissions. In conclusion, the countries that are located on the efficient frontier are those that generate electricity with predominantly renewable sources or, at least, use natural gas as a fuel in greater proportion.

Suggested Citation

  • Leadina Sanchez & Carmen V squez & Amelec Viloria, 2018. "The Data Envelopment Analysis to Determine Efficiency of Latin American Countries for Greenhouse Gases Control in Electric Power Generation," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 197-208.
    • Handle: RePEc:eco:journ2:2018-03-26
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    References listed on IDEAS

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    Cited by:

    1. Sebastian Cuadros & Yeny E. Rodríguez & Javier Contreras, 2020. "Dynamic Data Envelopment Analysis Model Involving Undesirable Outputs in the Electricity Power Generation Sector: The Case of Latin America and the Caribbean Countries," Energies, MDPI, vol. 13(24), pages 1-20, December.

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    More about this item

    Keywords

    Greenhouse Gases (GHG); efficient frontier; Data Envelopment Analysis.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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