IDEAS home Printed from https://ideas.repec.org/a/ksp/journ5/v2y2015i1p15-17.html
   My bibliography  Save this article

Survey Effects of Oil Income on Nonoil Export Case Study: Iran

Author

Listed:
  • Vida VARAHRAMI

    (University of Shahid Beheshti, Iran)

Abstract

There are so much oil and gas reserves in Iran. Therefore extraction from these reserves and sell extracted oil and gas in international markets causes to high oil income for Iran. Especially in some years which oil price increases, our oil income was too high. In this paper, we want to reveal that, is high oil income caused to rise nonoil export? For this aim, we use from data of 1970-2013 and with Johansen co-integration test and Error Correction Model (ECM) extract short run and long run relations. Results of estimation reveal that in Iran high oil income did not cause to many non oil export in long run and short run. Therefore, we should allocate oil income to import industrial machines and reallocate them to agriculture and industrial sectors which causes to rise national production which will cause to high non oil export. Then, in this condition, our needy exchanges are provided from non oil export and our dependence to oil income will be declined.

Suggested Citation

  • Vida VARAHRAMI, 2015. "Survey Effects of Oil Income on Nonoil Export Case Study: Iran," Journal of Economics Library, KSP Journals, vol. 2(1), pages 15-17, March.
    • Handle: RePEc:ksp:journ5:v:2:y:2015:i:1:p:15-17
    as

    Download full text from publisher

    File URL: http://www.kspjournals.org/index.php/JEL/article/download/182/263
    Download Restriction: no
    File URL: http://www.kspjournals.org/index.php/JEL/article/view/182
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christian Dreger & Teymur Rahmani, 2016. "The impact of oil revenues on the Iranian economy and the Gulf states," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 40(1), pages 36-49, March.
    2. Hodo B. Riman & Emmanuel S. Akpan & Amenawo I. Offiong & Cornelius M. Ojong, 2013. "Nexus between Oil Revenue, Non-oil Export and Industrial Output in Nigeria: An Application of the VAR Model," International Journal of Financial Economics, Research Academy of Social Sciences, vol. 1(2), pages 48-60.
    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. Varahrami, Vida, 2015. "Survey Effects of Oil Income on Nonoil Export (Case Study: Iran)," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1), pages 15-17.
    2. Salaudeen Mohammed Bashir, 2023. "Effect of Crude Oil Revenue on the Oil and Non-oil Sectors in Nigeria," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 11(1), pages 138-161, October.
    3. Jomar Patricia De Avila Arroyo & Milton Yago & Muhammad Ali Nasir & Junjie Wu, 2014. "Strategic Alliance in Energy Sector & Implications for Economic Growth and Technical Efficiency: The Case of Petrobras and Galp," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 759-771.
    4. Anis Ali, 2021. "Do Oil Prices Govern GDP and Public Spending Avenues in Saudi Arabia? Sensitivity and Trend Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 104-109.
    5. Alarudeen Aminu & Isiaka Akande Raifu, 2019. "Dynamic Nexus between Oil Revenues and Economic Growth in Nigeria," Economics Bulletin, AccessEcon, vol. 39(2), pages 1556-1570.

    More about this item

    Keywords

    Oil Income; Nonoil Export; Decline Dependence to Oil Income; Error Correction Model;
    All these keywords.

    JEL classification:

    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

    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:ksp:journ5:v:2:y:2015:i:1:p:15-17. 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: Bilal KARGI (email available below). General contact details of provider: http://www.kspjournals.org .

    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.