IDEAS home Printed from
   My bibliography  Save this article

Determinants of CO2 Emissions in Developing Countries using Bayesian Econometric Approach


  • Tamizi , Alireza

    () (Assistant Professor of Economics, Payam Noor University)


The attention to sustainable development and the necessity of environmental protection, and also the adverse effects of environmental pollution on development and quality of life all over the world, have made the environmental protection a major concern of economic officials. For this reason, over the recent decades an extensive literature has been devoted to improve environmental quality and its determinants. Therefore, economic analysts have focused on these issues more than before. In this regard, to know the effects of air pollution determinants can contribute economic officials to reduce pollution. This study attempted to investigate the effects of some variables on CO2 (as one of the most important air pollution indicators) in developing countries during 1992-2014 using Bayesian econometrics approach and applying Bayesian Model Averaging (BMA). Finally, according to the theoretical and empirical evidence, it is found that Environmental Kuznets’ hypothesized inverted U-shaped relationship between economic growth and environmental quality is supported by data. The findings of the study also showed that energy consumption, electricity consumption, and the variables related to industrialization have positive and almost important relationship with CO2 emissions. Against, literacy rate and income inequality have negative effects on CO2 emissions.

Suggested Citation

  • Tamizi , Alireza, 2016. "Determinants of CO2 Emissions in Developing Countries using Bayesian Econometric Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 2(4), pages 145-168, March.
  • Handle: RePEc:ris:qjatoe:0030

    Download full text from publisher

    File URL:
    File Function: Full text
    Download Restriction: no

    More about this item


    Pollution; Fossil Energy; Renewable Energy; Environmental Kuznets Curve; Least Absolute Deviation Error;

    JEL classification:

    • B22 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Macroeconomics
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth


    Access and download statistics


    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:ris:qjatoe:0030. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sakineh Sojoodi). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.