IDEAS home Printed from https://ideas.repec.org/p/prc/dpaper/ks--2023-dp21.html
   My bibliography  Save this paper

The Role of Petrochemical Sector Exports in the Diversification of the Saudi Economy: A Scenario Analysis of Foreign and Domestic Price Shocks

Author

Listed:
  • Fakhri Hasanov
  • Muhammad Javid
  • Heyran Aliyeva

    (King Abdullah Petroleum Studies and Research Center)

Abstract

Diversification of the economy, including exports, is a core goal of Saudi Vision 2030 (SV2030). The petrochemical sector can considerably contribute to the Kingdom’s diversification strategy, as it holds a substantial share in non-oil exports. First, this study econometrically estimated how exports of chemicals and rubber-plastics were shaped by theoretically articulated domestic and foreign factors over the 1993-2020 period. Then, the estimated export equations were integrated into a general equilibrium model, called the King Abdullah Petroleum Studies and Research Center (KAPSARC) Global Energy Macroeconometric Model (KGEMM), and a scenario analysis was conducted for the diversification implications of foreign and domestic price shocks until 2035.

Suggested Citation

  • Fakhri Hasanov & Muhammad Javid & Heyran Aliyeva, 2023. "The Role of Petrochemical Sector Exports in the Diversification of the Saudi Economy: A Scenario Analysis of Foreign and Domestic Price Shocks," Discussion Papers ks--2023-dp21, King Abdullah Petroleum Studies and Research Center.
  • Handle: RePEc:prc:dpaper:ks--2023-dp21
    DOI: 10.30573/KS--2023-DP21
    as

    Download full text from publisher

    File URL: https://www.kapsarc.org/research/publications/the-role-of-petrochemical-sector-exports-in-the-diversification-of-the-saudi-economy-a-scenario-analysis-of-foreign-and-domestic-price-shocks/
    File Function: First version, 2023
    Download Restriction: no

    File URL: https://libkey.io/10.30573/KS--2023-DP21?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

    Agent based modeling; Analytics; Applied Research; Autometrics;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:prc:dpaper:ks--2023-dp21. 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: Michael Gaffney (email available below). General contact details of provider: https://edirc.repec.org/data/kapsasa.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.