IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2019-02-22.html
   My bibliography  Save this article

The Effect of Crude Oil Prices on Economic Growth in South East Sulawesi, Indonesia: An Application of Autoregressive Distributed Lag Model

Author

Listed:
  • La Ode Saidi

    (Department of Mathematics, Faculty of Maths and Science, Universitas Halu Oleo, Kampus Bumi Tridhamma Anduonohu 93232, Kendari, Indonesia,)

  • Pasrun Adam

    (Department of Mathematics, Faculty of Maths and Science, Universitas Halu Oleo, Kampus Bumi Tridhamma Anduonohu 93232, Kendari, Indonesia,)

  • Manat Rahim

    (Faculty of Economics and Business, Universitas Halu Oleo, Kampus Bumi Tridhamma Anduonohu 93232 Kendari, Indonesia.)

  • Rosnawintang Rosnawintang

    (Faculty of Economics and Business, Universitas Halu Oleo, Kampus Bumi Tridhamma Anduonohu 93232 Kendari, Indonesia.)

Abstract

This research aims to examine the effect of crude oil prices on economic growth in South East Sulawesi, Indonesia. Data on crude oil prices and economic growth are annual time series data stretching from 1987 to 2016. The results of co-integration tests show that there is no long-term relationship between crude oil prices and economic growth. However, the estimation of the ARDL(5.0) model shows that in the short term, there is the influence of crude oil prices toward economic growth.

Suggested Citation

  • La Ode Saidi & Pasrun Adam & Manat Rahim & Rosnawintang Rosnawintang, 2019. "The Effect of Crude Oil Prices on Economic Growth in South East Sulawesi, Indonesia: An Application of Autoregressive Distributed Lag Model," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 194-198.
    • Handle: RePEc:eco:journ2:2019-02-22
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/7322/4227
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijeep/article/view/7322/4227
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. La Ode Saidi & Hasan Aedy & Fajar Saranani & Rosnawintang Rosnawintang & Pasrun Adam & La Ode Arsad Sani, 2020. "Crude Oil Price and Exchange Rate: An Analysis of the Asymmetric Effect and Volatility Using the Non Linear Autoregressive Distributed Lag and General Autoregressive Conditional Heterochedasticity in ," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 104-108.
    2. Sha, Zhiping, 2022. "Total natural resources, oil prices, and sustainable economic performance: Evidence from global data," Resources Policy, Elsevier, vol. 79(C).
    3. Muntasir Murshed & Haider Mahmood & Tarek Tawfik Yousef Alkhateeb & Mohga Bassim, 2020. "The Impacts of Energy Consumption, Energy Prices and Energy Import-Dependency on Gross and Sectoral Value-Added in Sri Lanka," Energies, MDPI, vol. 13(24), pages 1-22, December.
    4. Zainuddin Saenong & Abd Azis Muthalib & Pasrun Adam & Wali Aya Rumbia & Heppi Millia & La Ode Saidi, 2020. "Symmetric and Asymmetric Effect of Crude Oil Prices and Exchange Rate on Bond Yields in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 95-100.
    5. Bulat Mukhamediyev & Zhansaya Temerbulatova, 2019. "The Impact of Oil Prices on the Global Competitiveness of National Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 45-50.
    6. Rosnawintang Rosnawintang & Tajuddin Tajuddin & Pasrun Adam & Yuwanda Purnamasari Pasrun & La Ode Saidi, 2021. "Effects of Crude Oil Prices Volatility, the Internet and Inflation on Economic Growth in ASEAN-5 Countries: A Panel Autoregressive Distributed Lag Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 15-21.

    More about this item

    Keywords

    Crude oil price; economic growth; ARDL bound co-integration test; ARDL model;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:eco:journ2:2019-02-22. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.