IDEAS home Printed from https://ideas.repec.org/a/gam/jecnmx/v13y2025i3p26-d1703440.html
   My bibliography  Save this article

Daily Emissions of CO 2 in the World: A Fractional Integration Approach

Author

Listed:
  • Luis Alberiko Gil-Alana

    (Faculty of Economics and NCID, University of Navarra, 31080 Pamplona, Spain
    Faculty of Law, Business and Governance, Universidad Francisco de Vitoria, 28223 Madrid, Spain)

  • Carlos Poza

    (Faculty of Law, Business and Governance, Universidad Francisco de Vitoria, 28223 Madrid, Spain)

Abstract

In this article, daily CO 2 emissions for the years 2019–2022 are examined using fractional integration for Brazil, China, EU-27 (and the UK), India, and the USA. According to the findings, all series exhibit long memory mean-reversion tendencies, with orders of integration ranging between 0.22 in the case of India (with white noise errors) and 0.70 for Brazil (under autocorrelated disturbances). Nevertheless, the differencing parameter estimates are all considerably below 1, which supports the theory of mean reversion and transient shocks. These results suggest the need for a greater intensification of green policies complemented with economic structural reforms to achieve the zero-emissions target by 2050.

Suggested Citation

  • Luis Alberiko Gil-Alana & Carlos Poza, 2025. "Daily Emissions of CO 2 in the World: A Fractional Integration Approach," Econometrics, MDPI, vol. 13(3), pages 1-11, July.
  • Handle: RePEc:gam:jecnmx:v:13:y:2025:i:3:p:26-:d:1703440
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2225-1146/13/3/26/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2225-1146/13/3/26/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiaxiong Yao & Mr. Yunhui Zhao, 2022. "Structural Breaks in Carbon Emissions: A Machine Learning Analysis," IMF Working Papers 2022/009, International Monetary Fund.
    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. Yasunori Ito & Hidemichi Fujii, 2024. "Trend Changes and the Driving Forces of Environmental Indicators in Countries Worldwide: A Structural Change Analysis of Variations in CO 2 Emissions and Eco-Efficiency," Sustainability, MDPI, vol. 16(12), pages 1-16, June.
    2. Zhong, Wenli & Liu, Yang & Dong, Kangyin & Ni, Guohua, 2024. "Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China," Energy Economics, Elsevier, vol. 138(C).
    3. Payne, James E. & Lee, Junsoo & Islam, Md. Towhidul & Nazlioglu, Saban, 2022. "Stochastic convergence of per capita greenhouse gas emissions: New unit root tests with breaks and a factor structure," Energy Economics, Elsevier, vol. 113(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:gam:jecnmx:v:13:y:2025:i:3:p:26-:d:1703440. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.