IDEAS home Printed from https://ideas.repec.org/a/arv/journl/v2y2024i2p104-114.html
   My bibliography  Save this article

The Impact of Carbon Emissions on Infant Mortality Rate in Azerbaijan

Author

Listed:
  • Zuleykha Javanshirova

Abstract

This is the pioneering study to examine the impact of CO2 emissions on infant mortality rates (IMR) in Azerbaijan using data covering the period 1982-2022. The stationarity levels of the variables were analyzed with nonlinear unit root tests (KSS, Sollis and Kruse) and the results showed that CO2 was non-stationary while IMR was stationary. We determined the existence of a long-run relationship between the variables and analyzed the long-run effects using the A-ARDL method. The findings revealed that a 1% increase in CO2 emissions increases IMR by 1.69% on average. Causality analysis using the Fourier Todo-Yamamoto test shows that there is a unidirectional causal relationship from CO2 to IMR. These results emphasize the critical impact of environmental pollution on infant health.

Suggested Citation

  • Zuleykha Javanshirova, 2024. "The Impact of Carbon Emissions on Infant Mortality Rate in Azerbaijan," Journal of Sustainable Development Issues (JOSDI), SDIjournals, vol. 2(2), pages 104-114, December.
    • Handle: RePEc:arv:journl:v:2:y:2024:i:2:p:104-114
    DOI: 10.62433/josdi.v2i2.34
    as

    Download full text from publisher

    File URL: https://journalsdi.com/index.php/jsdi/article/view/34/16
    Download Restriction: no
    File URL: https://journalsdi.com/index.php/jsdi/article/view/34
    Download Restriction: no
    File URL: https://libkey.io/10.62433/josdi.v2i2.34?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
    ---><---

    More about this item

    Keywords

    Infant Mortality Rate; Carbon emissions; A-ARDL; Fourier Todo-Yamamoto Causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • K32 - Law and Economics - - Other Substantive Areas of Law - - - Energy, Environmental, Health, and Safety Law
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    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:arv:journl:v:2:y:2024:i:2:p:104-114. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Shahriyar Mukhtarov (email available below). General contact details of provider: .

    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.