IDEAS home Printed from https://ideas.repec.org/a/hig/ecohse/202126.html
   My bibliography  Save this article

Dutch Disease Effects in the Azerbaijan Economy: Results of Multivariate Linear Ordinary Least Squares (OLS) Estimations

Author

Listed:
  • Ibrahim Niftiyev

    (University of Szeged, Szeged, Hungary)

Abstract

This paper investigates the increased role of extractive industry, particularly oil and gas, within the Dutch disease model between 2000–2018 in the Azerbaijan economy. Dutch disease phenomenon befalls when the national economy produces and exports a single commodity or a particular sector becomes the booming sector. Increased exports of particular goods and spendings of the accumulated mineral revenue appreciate the national currency, decreasing the competitiveness and thus the production or export volume of the non-booming sectors. Azerbaijan is an oil and gas-rich country which naturally actualizes the existence of Dutch disease syndrome . Therefore, the purpose of this research is to separately reveal the Dutch disease effects of resource movement and spending effects based on the theoretical frame­ work constructed from the core theory. The paper contains a comprehensive literature review and overall macroeconomic screening of the Azerbaijan economy to describe the preconditions of Dutch disease. Then, the study employs 42 multivariate linear ordinary least squares (OLS) estimations. The estimated models illustrate the presence of indirect de-industrialization (one form of resource movement effect) and the spending effect of the Dutch disease hypothesis. However, the paper does not find a direct negative influence of booming sectors on aggregated lagging (i.e., manufacturing and agriculture) and non-tradable sectors (services). Moreover, va­riables such as oil price growth rates, real effective exchange rate (REER), nominal effective exchange rate (NEER), and economic crisis periods failed to significantly explain the employment and real wages dynamics. However, these variables described certain influence channels in output and returns on capital growth rates. This paper sheds light on the interconnections between the Azerbaijan economy’s labor resources, government spending, and monetary channels. These interconnections indicate that the Dutch disease hypothesis holds true for Azerbaijan. Of the estimated OLS coefficients, 90.5% were highly stable, which suggests that the results are reliable. This study mainly tests the general theoretical expectations of the original Dutch disease model and presents a common ground to conceptualize the possible harmful effects of the booming oil and gas sectors in Azerbaijan. Any causal derivations should be handled carefully.

Suggested Citation

  • Ibrahim Niftiyev, 2021. "Dutch Disease Effects in the Azerbaijan Economy: Results of Multivariate Linear Ordinary Least Squares (OLS) Estimations," HSE Economic Journal, National Research University Higher School of Economics, vol. 25(2), pages 309-346.
  • Handle: RePEc:hig:ecohse:2021:2:6
    as

    Download full text from publisher

    File URL: https://ej.hse.ru/en/2021-25-2/476505201.html
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sergey Tsygankov & Vadim Syropyatov & Vyacheslav Volchik, 2021. "Institutional Governance of Innovations: Novel Insights of Leadership in Russian Public Procurement," Economies, MDPI, vol. 9(4), pages 1-16, December.
    2. Mamon Adam Maarof & Dildar Haydar Ahmed & Ahmed Samour, 2023. "Fiscal Policy, Oil Price, Foreign Direct Investment, and Renewable Energy—A Path to Sustainable Development in South Africa," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    3. Radoslaw Wisniewski & Piotr Daniluk & Tomasz Kownacki & Aneta Nowakowska-Krystman, 2022. "Energy System Development Scenarios: Case of Poland," Energies, MDPI, vol. 15(8), pages 1-31, April.
    4. Marko Lovec & Luka Juvančič, 2021. "The Role of Industrial Revival in Untapping the Bioeconomy’s Potential in Central and Eastern Europe," Energies, MDPI, vol. 14(24), pages 1-20, December.
    5. Maksim Y. Zadorin & Konstantin S. Zaikov & Nikita M. Kuprikov & Mikhail Y. Kuprikov, 2022. "Legal and Economic Prospects for the Arctic Seaport Developments of the Northern Dimension Partner Countries (Russia and the European Union)," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    6. Diana Dmitrieva & Victoria Solovyova, 2023. "Russian Arctic Mineral Resources Sustainable Development in the Context of Energy Transition, ESG Agenda and Geopolitical Tensions," Energies, MDPI, vol. 16(13), pages 1-28, July.
    7. Shujaat Abbas & Faheem Ur Rehman & Shabeer Khan & Mohd Ziaur Rehman & Wadi B. Alonazi & Abul Ala Noman, 2022. "Crowding-Out Effect of Natural Resources on Domestic Investment: The Importance of Information Communication and Technology (ICT) and Control of Corruption in the Middle East and Central Asia," Sustainability, MDPI, vol. 14(20), pages 1-16, October.

    More about this item

    Keywords

    resource abundance; Azerbaijan economy; oil and gas sector; Dutch disease; resource movement effect; spending effect; real effective exchange rate; booming sector; OLS regression;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)

    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:hig:ecohse:2021:2:6. 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: Editorial board or Editorial board (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.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.