IDEAS home Printed from https://ideas.repec.org/a/aiy/jnjaer/v19y2020i3p286-309.html
   My bibliography  Save this article

The Impact of Urbanization on Carbon Dioxide Emissions in the Regions of Russia

Author

Listed:
  • O.S. Mariev
  • N.B. Davidson
  • O.S. Emelianova

Abstract

Today the world faces the environmental problems arising from economic activity, and Russia is no exception. At the same time, it is a well known fact that economic development is associated with urbanization process. Our aim is to estimate the impact of urbanization on CO2 emissions. In this paper, we study 77 Russian regions based on data for the years 2001-2015, provided by the Federal Service for State Statistics and the Unified Inter-Agency Information and Statistical System. The Quantile regression model is applied, with the dependent variable of CO2 emissions per capita. Urbanization is measured as a share of urban population in the regions. Gross regional product per capita is included into the model to test the Environmental Kuznets Curve hypothesis. Control variables are energy consumption per capita, expenditures on technological innovations per capita and foreign direct investment per capita. Markov Chain Monte Carlo method is used to estimate the model. Mixed evidence of the urbanization effect on CO2 emission is revealed: urbanization contributes to decrease in CO2 emissions in the Russian regions of 10th and 50th quantiles, while in the regions of 25th, 75th and 90th quantiles higher urbanization leads to increase in CO2 emissions. The hypothesis of Environmental Kuznets Curve is also confirmed for some Russian regions, i.e. with an increase in gross regional product per capita CO2 emissions increase up to a certain point, and with further growth of gross regional product per capita they decrease. As expected, an increase in energy consumption leads to an increase in CO2 emissions. Foreign direct investment is found to affect negatively CO2 emissions, when this variable is significant, i.e. for the 50th and 90th quantiles. We find it important that with an increase in regional expenditures on technical innovations CO2 emissions decrease. The results of this research can be useful for regional policy.

Suggested Citation

  • O.S. Mariev & N.B. Davidson & O.S. Emelianova, 2020. "The Impact of Urbanization on Carbon Dioxide Emissions in the Regions of Russia," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 19(3), pages 286-309.
  • Handle: RePEc:aiy:jnjaer:v:19:y:2020:i:3:p:286-309
    DOI: http://dx.doi.org/10.15826/vestnik.2020.19.3.014
    as

    Download full text from publisher

    File URL: https://journalaer.ru//fileadmin/user_upload/site_15934/2020/02_Mariev_Davidson_Emeljanova.pdf
    Download Restriction: no

    File URL: https://libkey.io/http://dx.doi.org/10.15826/vestnik.2020.19.3.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Muhammad, Sulaman & Long, Xingle & Salman, Muhammad & Dauda, Lamini, 2020. "Effect of urbanization and international trade on CO2 emissions across 65 belt and road initiative countries," Energy, Elsevier, vol. 196(C).
    2. Pao, Hsiao-Tien & Yu, Hsiao-Cheng & Yang, Yeou-Herng, 2011. "Modeling the CO2 emissions, energy use, and economic growth in Russia," Energy, Elsevier, vol. 36(8), pages 5094-5100.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Xie, Qichang & Liu, Junxian, 2019. "Combined nonlinear effects of economic growth and urbanization on CO2 emissions in China: Evidence from a panel data partially linear additive model," Energy, Elsevier, vol. 186(C).
    5. Sharma, Susan Sunila, 2011. "Determinants of carbon dioxide emissions: Empirical evidence from 69 countries," Applied Energy, Elsevier, vol. 88(1), pages 376-382, January.
    6. Gene M. Grossman & Alan B. Krueger, 1991. "Environmental Impacts of a North American Free Trade Agreement," NBER Working Papers 3914, National Bureau of Economic Research, Inc.
    7. Matthew J. Baker, 2014. "Adaptive Markov chain Monte Carlo sampling and estimation in Mata," Stata Journal, StataCorp LP, vol. 14(3), pages 623-661, September.
    8. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    9. Poumanyvong, Phetkeo & Kaneko, Shinji, 2010. "Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis," Ecological Economics, Elsevier, vol. 70(2), pages 434-444, December.
    10. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    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. Muhammad, Sulaman & Long, Xingle & Salman, Muhammad & Dauda, Lamini, 2020. "Effect of urbanization and international trade on CO2 emissions across 65 belt and road initiative countries," Energy, Elsevier, vol. 196(C).
    2. Rashid Latief & Usman Sattar & Sohail Ahmad Javeed & Ammar Ali Gull & Yingshun Pei, 2022. "The Environmental Effects of Urbanization, Education, and Green Innovation in the Union for Mediterranean Countries: Evidence from Quantile Regression Model," Energies, MDPI, vol. 15(15), pages 1-17, July.
    3. Zhonghua Cheng & Xiaowen Hu, 2023. "The effects of urbanization and urban sprawl on CO2 emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1792-1808, February.
    4. Sun Guoyan & Asadullah Khaskheli & Syed Ali Raza & Nida Shah, 2022. "Analyzing the association between the foreign direct investment and carbon emissions in MENA countries: a pathway to sustainable development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4226-4243, March.
    5. Zhang Chenghu & Muhammad Arif & Khurram Shehzad & Mahmood Ahmad & Judit Oláh, 2021. "Modeling the Dynamic Linkage between Tourism Development, Technological Innovation, Urbanization and Environmental Quality: Provincial Data Analysis of China," IJERPH, MDPI, vol. 18(16), pages 1-21, August.
    6. Ayoub Zeraibi & Daniel Balsalobre-Lorente & Khurram Shehzad, 2021. "Testing the Environmental Kuznets Curve Hypotheses in Chinese Provinces: A Nexus between Regional Government Expenditures and Environmental Quality," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    7. Ahad, Muhammad & Khan, Wali, 2016. "Does Globalization Impede Environmental Quality in Bangladesh? The Role of Real Economic Activities and Energy Use," MPRA Paper 76278, University Library of Munich, Germany, revised Jul 2016.
    8. Itkonen, Juha V.A., 2012. "Problems estimating the carbon Kuznets curve," Energy, Elsevier, vol. 39(1), pages 274-280.
    9. Alexandra-Anca Purcel, 2020. "Developing states and the green challenge. A dynamic approach," Post-Print hal-03182341, HAL.
    10. 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.
    11. Yan-Qing Kang & Tao Zhao & Peng Wu, 2016. "Impacts of energy-related CO 2 emissions in China: a spatial panel data technique," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 405-421, March.
    12. You, Wan-Hai & Zhu, Hui-Ming & Yu, Keming & Peng, Cheng, 2015. "Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels," World Development, Elsevier, vol. 66(C), pages 189-207.
    13. Oruj Gasimli & Ihtisham ul Haq & Sisira Kumara Naradda Gamage & Fadi Shihadeh & Prasanna Sisira Kumara Rajapakshe & Muhammad Shafiq, 2019. "Energy, Trade, Urbanization and Environmental Degradation Nexus in Sri Lanka: Bounds Testing Approach," Energies, MDPI, vol. 12(9), pages 1-16, April.
    14. Tengfei Zhang & Yang Song & Jun Yang, 2021. "Relationships between urbanization and CO2 emissions in China: An empirical analysis of population migration," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-20, August.
    15. Chang, Chun-Ping & Wen, Jun & Dong, Minyi & Hao, Yu, 2018. "Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations," Energy Policy, Elsevier, vol. 113(C), pages 386-400.
    16. Emad Kazemzadeh & José Alberto Fuinhas & Matheus Koengkan & Fariba Osmani, 2022. "The Heterogeneous Effect of Economic Complexity and Export Quality on the Ecological Footprint: A Two-Step Club Convergence and Panel Quantile Regression Approach," Sustainability, MDPI, vol. 14(18), pages 1-24, September.
    17. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2021. "The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU," Renewable Energy, Elsevier, vol. 169(C), pages 293-307.
    18. Luo, Yusen & Lu, Zhengnan & Long, Xingle, 2020. "Heterogeneous effects of endogenous and foreign innovation on CO2 emissions stochastic convergence across China," Energy Economics, Elsevier, vol. 91(C).
    19. Balsalobre-Lorente, Daniel & Ibáñez-Luzón, Lucia & Usman, Muhammad & Shahbaz, Muhammad, 2022. "The environmental Kuznets curve, based on the economic complexity, and the pollution haven hypothesis in PIIGS countries," Renewable Energy, Elsevier, vol. 185(C), pages 1441-1455.
    20. Awan, Ashar & Alnour, Mohammed & Jahanger, Atif & Onwe, Joshua Chukwuma, 2022. "Do technological innovation and urbanization mitigate carbon dioxide emissions from the transport sector?," Technology in Society, Elsevier, vol. 71(C).

    More about this item

    Keywords

    CO2 emissions; carbon dioxide; ecology; urbanization; Environmental Kuznets Curve; regions; Russia;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    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:aiy:jnjaer:v:19:y:2020:i:3:p:286-309. 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: Natalia Starodubets (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.html .

    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.