IDEAS home Printed from https://ideas.repec.org/a/imx/journl/v17y2022i2a9.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.remef.org.mx/index.php/remef/article/view/718
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    2. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    3. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    4. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    5. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    6. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    7. Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.
    8. Chai, Naijie & Zhou, Wenliang & Hu, Xinlei, 2022. "Safety evaluation of urban rail transit operation considering uncertainty and risk preference: A case study in China," Transport Policy, Elsevier, vol. 125(C), pages 267-288.
    9. Ravelojaona, Paola, 2019. "On constant elasticity of substitution – Constant elasticity of transformation Directional Distance Functions," European Journal of Operational Research, Elsevier, vol. 272(2), pages 780-791.
    10. Hu, Jin-Li & Wang, Shih-Chuan & Yeh, Fang-Yu, 2006. "Total-factor water efficiency of regions in China," Resources Policy, Elsevier, vol. 31(4), pages 217-230, December.
    11. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    12. Keh, Hean Tat & Chu, Singfat, 2003. "Retail productivity and scale economies at the firm level: a DEA approach," Omega, Elsevier, vol. 31(2), pages 75-82, April.
    13. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    14. da Silva, Aneirson Francisco & Miranda, Rafael de Carvalho & Marins, Fernando Augusto Silva & Dias, Erica Ximenes, 2024. "A new multiple criteria data envelopment analysis with variable return to scale: Applying bi-dimensional representation and super-efficiency analysis," European Journal of Operational Research, Elsevier, vol. 314(1), pages 308-322.
    15. Atkinson, Scott E. & Tsionas, Mike G., 2021. "Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1165-1186.
    16. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    17. Simona Alfiero & Laura Broccardo & Massimo Cane & Alfredo Esposito, 2018. "High Performance Through Innovation Process Management in SMEs. Evidence from the Italian wine sector," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 87-110.
    18. Soteriou, Andreas C. & Zenios, Stavros A., 1999. "Using data envelopment analysis for costing bank products," European Journal of Operational Research, Elsevier, vol. 114(2), pages 234-248, April.
    19. Idiano D’Adamo & Cinzia Daraio & Simone Di Leo & Léopold Simar, 2024. "A Flexible and Sustainable Analysis of Waste Efficiency at the European Level," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(4), pages 881-894, December.
    20. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:imx:journl:v:17:y:2022:i:2:a:9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ricardo Mendoza (email available below). General contact details of provider: https://www.remef.org.mx/index.php/remef/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.