IDEAS home Printed from https://ideas.repec.org/a/acf/journl/y2022id1970.html
   My bibliography  Save this article

Oil Production and Carbon Emissions: Spline Analysis of Relationships

Author

Listed:
  • R. H. Ilyasov
  • V. A. Plotnikov

Abstract

Obviously, the dynamics of carbon dioxide emissions depends on the volume and structure of consumption of primary energy resources in the economy. The world’s energy consumption shows a growth trend temporarily interrupted during times of economic crisis. The most noticeable decrease in energy consumption in modern history occurred in 2020, which was due to a decline in business activity in the world due to the COVID-19 pandemic. This caused a decrease in carbon emissions (by more than 6% compared to 2019). In the structure of primary energy sources, the largest reduction was in oil consumption. The paper examines the impact of economic crises on the evolution of the mutual link between the dynamics of oil production and carbon dioxide emissions in the world. To detect correlations in local time regions, it is proposed to interpolate process dynamics with cubic splines. Using this toolkit avoids the limitations of classical econometrics on the length of time series. The differentiability of the built spline models allowed us to move on to identifying and analyzing latent correlations in fluctuations in the instantaneous growth rate of oil production volumes and carbon emissions.

Suggested Citation

  • R. H. Ilyasov & V. A. Plotnikov, 2022. "Oil Production and Carbon Emissions: Spline Analysis of Relationships," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 5.
    • Handle: RePEc:acf:journl:y:2022:id:1970
    DOI: 10.22394/1726-1139-2022-5-51-61
    as

    Download full text from publisher

    File URL: https://www.acjournal.ru/jour/article/viewFile/1970/1596
    Download Restriction: no
    File URL: https://libkey.io/10.22394/1726-1139-2022-5-51-61?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. Robert J. Hill & Michael Scholz, 2018. "Can Geospatial Data Improve House Price Indexes? A Hedonic Imputation Approach with Splines," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(4), pages 737-756, December.
    2. Buletova Natalya Yevgenyevna & Gorelova Irina Valerievna & Golomanchuk Ada Vladimirovna & Orlova Yelena Roaldovna, 2015. "New interaction paradigm of ecological, social and economic structures of human activity," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», issue 2, pages 59-71.
    3. Gao, Guangyuan & Meng, Shengwang, 2018. "Stochastic Claims Reserving Via A Bayesian Spline Model With Random Loss Ratio Effects," ASTIN Bulletin, Cambridge University Press, vol. 48(1), pages 55-88, January.
    4. Muddassar Sarfraz & Muhammad Mohsin & Sobia Naseem & Amit Kumar, 2021. "Modeling the relationship between carbon emissions and environmental sustainability during COVID-19: a new evidence from asymmetric ARDL cointegration approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16208-16226, November.
    5. Cui, Zhenyu & Kirkby, Justin Lars & Nguyen, Duy, 2020. "Nonparametric Density Estimation By B-Spline Duality," Econometric Theory, Cambridge University Press, vol. 36(2), pages 250-291, April.
    6. Rajiv D. Banker & Dmitri Byzalov & Shunlan Fang & Byunghoon Jin, 2020. "Operating asymmetries and non-linear spline correction in discretionary accrual models," Review of Quantitative Finance and Accounting, Springer, vol. 54(3), pages 803-850, April.
    7. Serpil Kılıç Depren & Mustafa Tevfik Kartal, 2021. "Prediction on the volume of non‐performing loans in Turkey using multivariate adaptive regression splines approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6395-6405, October.
    8. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    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. Shuming Ren & Lianqing Li & Yueqi Han & Yu Hao & Haitao Wu, 2022. "The emerging driving force of inclusive green growth: Does digital economy agglomeration work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1656-1678, May.
    2. Gen Li & Shihong Zeng & Tengfei Li & Qiao Peng & Muhammad Irfan, 2023. "Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    3. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    4. Yeguan Yu, 2023. "The Impact of Financial System on Carbon Intensity: From the Perspective of Digitalization," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    5. Robert J. Hill & Alicia N. Rambaldi & Michael Scholz, 2021. "Higher frequency hedonic property price indices: a state-space approach," Empirical Economics, Springer, vol. 61(1), pages 417-441, July.
    6. Yang, Hao-Chang & Cai, Yi-Fei & Zhang, Miao-Yin, 2022. "Political risk and green technology improvement: New insights from global evidence," Innovation and Green Development, Elsevier, vol. 1(1).
    7. Naqvi, Bushra & Rizvi, Syed Kumail Abbas & Mirza, Nawazish & Umar, Muhammad, 2023. "Financial market development: A potentiating policy choice for the green transition in G7 economies," International Review of Financial Analysis, Elsevier, vol. 87(C).
    8. Kai Tang & Qianbo Chen & Weijie Tan & Yi Jun Wu Feng, 2022. "The Impact of Financial Deepening on Carbon Reductions in China: Evidence from City- and Enterprise-Level Data," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    9. Che, Xiao-Jing & Zhou, P. & Chai, Kah-Hin, 2022. "Regional policy effect on photovoltaic (PV) technology innovation: Findings from 260 cities in China," Energy Policy, Elsevier, vol. 162(C).
    10. Yang, Shubo & Jahanger, Atif & Hossain, Mohammad Razib & Wang, Yanming & Balsalobre-Lorente, Daniel, 2023. "Enhancing export product quality through innovative cities: A firm-level quasi-natural experiment in China," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 462-478.
    11. Ahlfeldt, Gabriel M. & Heblich, Stephan & Seidel, Tobias, 2023. "Micro-geographic property price and rent indices," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    12. Han Long & Gen‐Fu Feng & Qiang Gong & Chun‐Ping Chang, 2023. "ESG performance and green innovation: An investigation based on quantile regression," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 5102-5118, November.
    13. Jun Fu & Rui Ding & Yilin Zhang & Tao Zhou & Yiming Du & Yuqi Zhu & Linyu Du & Lina Peng & Jian Zou & Wenqian Xiao, 2022. "The Spatial-Temporal Transition and Influencing Factors of Green and Low-Carbon Utilization Efficiency of Urban Land in China under the Goal of Carbon Neutralization," IJERPH, MDPI, vol. 19(23), pages 1-25, December.
    14. Cheng, Xiaoqiang & Yao, Dingjun & Qian, Yuanyuan & Wang, Bin & Zhang, Deliang, 2023. "How does fintech influence carbon emissions: Evidence from China's prefecture-level cities," International Review of Financial Analysis, Elsevier, vol. 87(C).
    15. Tang, Zhaopei & Wang, Liehui & Wu, Wei, 2023. "The impact of high-speed rail on urban carbon emissions: Evidence from the Yangtze River Delta," Journal of Transport Geography, Elsevier, vol. 110(C).
    16. Sarfraz Zaman & Farrukh Abbas & Sumbal Parveen, 2021. "Factors Affecting The Use Of E-Learning Library Services During Covid 19: The Study Of Business Management Students," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 10(3), pages 226-238, September.
    17. Xu, Xinkuo & Li, Jingsi, 2023. "Can green bonds reduce the carbon emissions of cities in China?," Economics Letters, Elsevier, vol. 226(C).
    18. Ning Xu & He Zhang & Tixin Li & Xiao Ling & Qian Shen, 2022. "How Big Data Affect Urban Low-Carbon Transformation—A Quasi-Natural Experiment from China," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    19. Meng, Yue & Wu, Haoyue & Wang, Yunchen & Duan, Yinying, 2022. "International trade diversification, green innovation, and consumption-based carbon emissions: The role of renewable energy for sustainable development in BRICST countries," Renewable Energy, Elsevier, vol. 198(C), pages 1243-1253.
    20. Shuangjie Li & Wei Wang & Liming Wang & Ge Wang, 2023. "Digital Economy and 3E Efficiency Performance: Evidence from EU Countries," Sustainability, MDPI, vol. 15(7), pages 1-18, March.

    More about this item

    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:acf:journl:y:2022:id:1970. 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: Рнтонова Ð•Ð²Ð³ÐµÐ½Ð¸Ñ Ð’Ð»Ð°Ð´Ð¸Ð¼Ð¸Ñ€Ð¾Ð²Ð½Ð° (email available below). General contact details of provider: https://sziu.ranepa.ru .

    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.