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The environmental Kuznets curve in the case of Russia

Author

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  • Natalya Ketenci

    (Yeditepe University, Istanbul, Turkey)

Abstract

This study explores the relationships between carbon emissions and their main determinants such as energy consumption, real income, international trade, level of education and level of urbanization in the Russian Federation, employing data for the period 1991–2016. Support for the environmental Kuznets curve hypothesis is found in this study, stating that environment pollution decreases in Russia after income achieves a certain threshold. The ARDL bounds test is employed in order to estimate short-run and long-run relationships in the estimated model. Energy consumption, real income, education and urbanization levels are found to be significant determinants of carbon emissions, while trade openness does not have an impact. The Granger causality test indicates two-way relationships between carbon emissions and energy use, real income and education. Only a single one-way causality runs from carbon emission to trade and no causality was found between carbon emissions and level of urbanization.

Suggested Citation

  • Natalya Ketenci, 2018. "The environmental Kuznets curve in the case of Russia," Russian Journal of Economics, ARPHA Platform, vol. 4(3), pages 249-265, October.
    • Handle: RePEc:arh:jrujec:v:4:y:2018:i:3:p:249-265
    DOI: 10.3897/j.ruje.4.28482
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    Citations

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    Cited by:

    1. Ehsan Rasoulinezhad & Farhad Taghizadeh-Hesary & Jinsok Sung & Nisit Panthamit, 2020. "Geopolitical Risk and Energy Transition in Russia: Evidence from ARDL Bounds Testing Method," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    2. Yulia I. Pyzheva & Evgeniya V. Zander & Anton I. Pyzhev, 2021. "Impacts of Energy Efficiency and Economic Growth on Air Pollutant Emissions: Evidence from Angara–Yenisey Siberia," Energies, MDPI, vol. 14(19), pages 1-10, September.
    3. Natalia Davidson & Oleg Mariev & Sophia Turkanova, 2021. "Does income inequality matter for CO2 emissions in Russian regions?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(3), pages 533-551, September.
    4. Khan Rabnawaz & Kong YuSheng, 2020. "Effects of Energy Consumption on GDP: New Evidence of 24 Countries on Their Natural Resources and Production of Electricity," Ekonomika (Economics), Sciendo, vol. 99(1), pages 26-49, June.
    5. Sarvar Gurbanov & Jeyhun I. Mikayilov & Shahriyar Mukhtarov & Sakit Yagubov, 2023. "Forecasting 2030 CO2 reduction targets for Russia as a major emitter using different estimation scenarios," Journal of Applied Economics, Taylor & Francis Journals, vol. 26(1), pages 2146861-214, December.
    6. Khusaini, & Remi, Sutyastie Soemitro & Fahmi, Mohamad & Purnagunawan, R. Muhamad, 2020. "Measuring the Inequality in Education: Educational Kuznets Curve," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(3), pages 59-76.
    7. Muhammad Shafiullah & Vassilios G. Papavassiliou & Muhammad Shahbaz, 2021. "Is There an Extended Education-Based Environmental Kuznets Curve? An Analysis of U.S. States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 795-819, December.
    8. Alexander Bass & Dmitry Burakov & Max Freidin, 2019. "Does Financial Development Matter for Environmental Kuznets Curve in Russia? Evidence from the Autoregressive Distributed Lag Bounds Test Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 334-341.

    More about this item

    Keywords

    CO2 emissions; environment Kuznets curve; cointegration; Russia.;
    All these keywords.

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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