IDEAS home Printed from https://ideas.repec.org/a/eis/articl/217eid.html
   My bibliography  Save this article

Government Expenditure and Private Sector Growth in Saudi Arabia: A Markov Switching Model Analysis

Author

Abstract

This paper investigates the relationship between government expenditure and non-oil private GDP in Saudi Arabia over the period 1970-2015, using a Markov Switching Autoregressive Model (MSAR)-which captures the dynamic pattern of time series and allows us to test the impact of government expenditure on GDP growth in finite unobserved states of the economy. The study results show that the growth effects of contemporaneous government consumption expenditure and government fixed capital formation expenditure are found to be negative only in the low (recessionary) state of the economy. This could be explained by the crowding out effect that exists only in recessionary periods. On the other hand, the disaggregated government expenditure model indicates that defence and security expenditure is estimated to have the expected negative and significant impact on non-oil private GDP growth, but only in the low state. In addition, out of the three highest government civil items of expenditure, human resources development is found to have a positive and significant growth effect in both states of the economy, while the growth effect of the other two types (health and economic development expenditure) is found to be insignificant in the low state. This insignificant growth effect of some types of government expenditure in the low state of non-oil private GDP could be explained by the procyclical nature of government expenditure because of the excessive dependency on oil revenues.

Suggested Citation

  • A G Eid & I L Awad, 2017. "Government Expenditure and Private Sector Growth in Saudi Arabia: A Markov Switching Model Analysis," Economic Issues Journal Articles, Economic Issues, vol. 22(2), pages 83-104, September.
  • Handle: RePEc:eis:articl:217eid
    as

    Download full text from publisher

    File URL: http://www.economicissues.org.uk/Files/2016/217Eid_web.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Elshurafa, Amro M. & Alatawi, Hatem & Hasanov, Fakhri J. & Algahtani, Goblan J. & Felder, Frank A., 2022. "Cost, emission, and macroeconomic implications of diesel displacement in the Saudi agricultural sector: Options and policy insights," Energy Policy, Elsevier, vol. 168(C).
    2. Abdulaziz H. Algaeed, 2022. "Government Spending Volatility and Real Economic Growth: Evidence From a Major Oil Producing Country, Saudi Arabia, 1970 to 2018," SAGE Open, , vol. 12(2), pages 21582440221, April.

    More about this item

    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:eis:articl:217eid. 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: Dan Wheatley (email available below). General contact details of provider: https://edirc.repec.org/data/bsntuuk.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.