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Competition Determinants of Eurasian Economic Union Oil and Gas Companies

Author

Listed:
  • Aubakirova Damira

    (Almaty Management University, Kazakhstan)

  • Jaxybekova Galiya Narimanovna

    (Almaty Management University, Kazakhstan)

  • Yespergenova Lyazzat

    (Almaty Management University, Kazakhstan.)

  • Bezhan Rustamov

    (Faculty of Business and Economics Rauf Denktas University, Nicosia, North Cyprus, via Mersin 10, Turkey)

  • Alimshan Faizulayev

    (Bang College of Business, Kimep University, Kazakhstan)

  • Festus Victor Bekun

    (Faculty of Economics Administrative and Social sciences, Istanbul Gelisim University, Istanbul, Turkey)

Abstract

The present study examines the competition determinants of Eurasian Union oil and gas companies for the period of 2012 2020. The study covers a total of 24,813 firm-year observations. This study applied the GMM two-step estimation to capture the endogeneity problem. Our results reveal that leverage, profitability, and efficiency are the main competition determinants. In the Eurasian Union, large oil and gas companies are less competitive. It may be caused by higher corporate bureaucracy and high transaction costs. Oil and gas companies with an efficient level of sales are more competitive in the market. Also, the increase in leverage provides a tax shelter. The price cost margin, the Boone Indicator, and the firm s income total income ratio are confirmed as efficient competition indicators.

Suggested Citation

  • Aubakirova Damira & Jaxybekova Galiya Narimanovna & Yespergenova Lyazzat & Bezhan Rustamov & Alimshan Faizulayev & Festus Victor Bekun, 2022. "Competition Determinants of Eurasian Economic Union Oil and Gas Companies," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 336-341, March.
    • Handle: RePEc:eco:journ2:2022-02-37
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Competition determinants; Lerner Index; Energy markets; Eurasian Union;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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