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Economic Efficiency of the Main Oil Producing Countries in Upstream Sector in the Period 2010-2017

Author

Listed:
  • José César Lenin Navarro Chávez

    (Universidad Michoacana de San Nicolás de Hidalgo, México)

  • Odette Virginia Delfín Ortega

    (Universidad Michoacana de San Nicolás de Hidalgo, México)

  • Enrique Guardado Ibarra

    (Universidad Michoacana de San Nicolás de Hidalgo, México)

Abstract

Este trabajo tiene como objetivo calcular la eficiencia económica de los principales países productores de petróleo upstream en 2010-2017, utilizando la metodología Data Envelopment Analysis (DEA). En principio se determina la eficiencia técnica, posteriormente se calcula la eficiencia asignativa para finalmente obtener la eficiencia económica. Los países que se analizaron fueron: Estados Unidos, Rusia, Canadá, China, Emiratos Árabes Unidos, Kuwait, Brasil, Kazajstán, México, Angola, Venezuela, Argelia, Reino Unido, Holanda, Francia y España. Se puede ver en los resultados que ningún país fue eficiente en términos económicos. Sin embargo, Rusia tuvo los niveles más altos de eficiencia económica, en el lado opuesto, Francia se encuentra con los valores más bajos en este indicador. Se recomienda establecer estrategias en el sector para evitar la vulnerabilidad económica en algunos países. La principal limitación es la disponibilidad de los datos. La originalidad de la investigación consiste en obtener la eficiencia económica en esta industria, ya que no existen estudios con estas características específicas. Se concluye que en términos de eficiencia económica, no hubo un uso adecuado de los recursos en la industria petrolera upstream.

Suggested Citation

  • José César Lenin Navarro Chávez & Odette Virginia Delfín Ortega & Enrique Guardado Ibarra, 2022. "Economic Efficiency of the Main Oil Producing Countries in Upstream Sector in the Period 2010-2017," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(2), pages 1-17, Abril - J.
    • Handle: RePEc:imx:journl:v:17:y:2022:i:2:a:9
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Nasser Al-Mawali & Haslifah Mohamad Hasim & Khalil Al-Busaidi, 2016. "Modeling the Impact of the Oil Sector on the Economy of Sultanate of Oman," International Journal of Energy Economics and Policy, Econjournals, vol. 6(1), pages 120-127.
    3. Stiglitz, Joseph E, 1981. "Pareto Optimality and Competition," Journal of Finance, American Finance Association, vol. 36(2), pages 235-251, May.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. David Mautin Oke & Salami Dada Kareem, 2013. "An Inter-temporal Analysis of Operational Efficiency of Oil Firms: Further Evidence from Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 3(2), pages 178-184.
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    More about this item

    Keywords

    Eficiencia económica; industria petrolera upstream; DEA;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

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