IDEAS home Printed from https://ideas.repec.org/a/ris/qjatoe/0124.html
   My bibliography  Save this article

The Study of the Most Effective Factors Explaining Economic Growth in OIC Countries: Bayesian Panel Likelihood Approach

Author

Listed:
  • Besharat, Ali

    (Ph.D. Candidate in Economics, University of Tabriz)

  • Ranjpour, Reza

    (Associate Professor of Economics, University of Tabriz)

  • Sadeghi, Seyed Kamal

    (Associate Professor of Economics, University of Tabriz)

Abstract

The defects of growth models and the methods of examining relevant empirical evidence, as well as the multiplicity of sources and factors of economic growth, have led to uncertainty about the accuracy of the model specification and impeded consensus among researchers about the key determinants of economic growth. The purpose of this paper is to determine the most important growth factors in OIC member states. For this purpose, a sample of these countries has been selected during period 1975 - 2015 and using the Bayesian Maximum Likelihood Approach (BML) in the context of panel data, among the many factors that can affect growth, endogenously and through various exams in many repetitions, the factors that have the greatest impact are selected and introduced as the robust factors. According to the results, saving rates (SR), foreign direct investment (FDI), investment (ISH), total factors productivity (TFP), and research and development expenditures (R & D) have had the greatest impact on economic growth in these countries. The results could be used to build appropriate patterns for explaining economic growth issues in OIC member states and better management of the economic growth process.

Suggested Citation

  • Besharat, Ali & Ranjpour, Reza & Sadeghi, Seyed Kamal, 2018. "The Study of the Most Effective Factors Explaining Economic Growth in OIC Countries: Bayesian Panel Likelihood Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 5(3), pages 239-263, October.
    • Handle: RePEc:ris:qjatoe:0124
    as

    Download full text from publisher

    File URL: http://ecoj.tabrizu.ac.ir/article_7685_3579f7b2dcf97aa807c035644bc1c751.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Maximum Bayesian Trust; Economic growth; R & D; Productivity; Foreign Direct Investment; Organization of Islamic Cooperation;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

    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:ris:qjatoe:0124. 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: Sakineh Sojoodi (email available below). General contact details of provider: https://edirc.repec.org/data/fetabir.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.