IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v11y2023i12p303-d1301526.html
   My bibliography  Save this article

The Impact of the Islamic System on Economic and Social Factors: A Macroeconomic Uncertainty Context

Author

Listed:
  • Mohamed Sadok Gassouma

    (Higher Institute of Theology of Tunis, Department of Islamic Law, Economics and Finance, Ez-Zitouna University, Tunis 1008, Tunisia)

  • Adel Benhamed

    (Business School, King Faisal University, Al-Ahsa 31982, Saudi Arabia)

Abstract

This paper examines the effects of Islamic economic and social systems within a democratic environment on the causal relationships among uncertainty, informal economy, corruption, and economic growth. For this purpose, we considered a set of Middle East/North Africa MENA countries considered to be in economic difficulty and undergoing the democratic transition process (Tunisia, Algeria, Egypt, Libya, Yemen, and Iraq) for the period of 2000–2018. Our contribution is to use the social index that measures the degree of Islamicity in each country in terms of economic and political matters. We examine the effects of Islamicity and democracy on uncertainty, informal economy, corruption, and economic growth using a vector autoregression (VAR) model. Our empirical findings show that, if a theoretical Islamic system is applied in practice, it must be accompanied by a democratic regime to effectively mitigate uncertainty, informal economy, and corruption and contribute to economic growth. Democracy is a necessary component for achieving an optimal level of Islamicity.

Suggested Citation

  • Mohamed Sadok Gassouma & Adel Benhamed, 2023. "The Impact of the Islamic System on Economic and Social Factors: A Macroeconomic Uncertainty Context," Economies, MDPI, vol. 11(12), pages 1-18, December.
  • Handle: RePEc:gam:jecomi:v:11:y:2023:i:12:p:303-:d:1301526
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/11/12/303/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/11/12/303/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta†Eksten & Stephen J. Terry, 2018. "Really Uncertain Business Cycles," Econometrica, Econometric Society, vol. 86(3), pages 1031-1065, May.
    2. Mohtadi, Hamid & Roe, Terry L., 2003. "Democracy, rent seeking, public spending and growth," Journal of Public Economics, Elsevier, vol. 87(3-4), pages 445-466, March.
    3. Barbara Rossi & Tatevik Sekhposyan, 2015. "Macroeconomic Uncertainty Indices Based on Nowcast and Forecast Error Distributions," American Economic Review, American Economic Association, vol. 105(5), pages 650-655, May.
    4. Dąbrowski, Marek A. & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2022. "The role of economic development for the effect of oil market shocks on oil-exporting countries. Evidence from the interacted panel VAR model," Energy Economics, Elsevier, vol. 110(C).
    5. Adel Benhamed & Mohamed Sadok Gassouma, 2023. "Investigation and Modelling of Economic Systematic Risk and Capital Requirement: A Monte Carlo Simulation," JRFM, MDPI, vol. 16(4), pages 1-13, April.
    6. Caraiani, Petre & Gupta, Rangan & Nel, Jacobus & Nielsen, Joshua, 2023. "Monetary policy and bubbles in G7 economies using a panel VAR approach: Implications for sustainable development," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 133-155.
    7. Rehman Scheherazade S. & Askari Hossein, 2010. "How Islamic are Islamic Countries?," Global Economy Journal, De Gruyter, vol. 10(2), pages 1-40, May.
    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. Josué Diwambuena & Jean-Paul K. Tsasa, 2021. "The Real Effects of Uncertainty Shocks: New Evidence from Linear and Nonlinear SVAR Models," BEMPS - Bozen Economics & Management Paper Series BEMPS87, Faculty of Economics and Management at the Free University of Bozen.
    2. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2014. "Uncertainty and Monetary Policy in Good and Bad Times," "Marco Fanno" Working Papers 0188, Dipartimento di Scienze Economiche "Marco Fanno".
    3. Alessio Anzuini & Luca Rossi, 2021. "Fiscal policy in the US: a new measure of uncertainty and its effects on the American economy," Empirical Economics, Springer, vol. 61(5), pages 2613-2634, November.
    4. Forni, Mario & Gambetti, Luca & Maffei-Faccioli, Nicolo & Sala, Luca, 2023. "The Impact of Financial Shocks on the Forecast Distribution of Output and Inflation," CEPR Discussion Papers 18076, C.E.P.R. Discussion Papers.
    5. Jamie L. Cross & Chenghan Hou & Aubrey Poon, 2018. "International Transmission of Macroeconomic Uncertainty in Small Open Economies: An Empirical Approach," Working Papers No 12/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    6. Fabio Bertolotti & Massimiliano Marcellino, 2019. "Tax shocks with high and low uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 972-993, September.
    7. Graziano Moramarco, 2022. "Measuring Global Macroeconomic Uncertainty and Cross-Country Uncertainty Spillovers," Econometrics, MDPI, vol. 11(1), pages 1-29, December.
    8. Thiemo Fetzer & Ivan Yotzov, 2023. "(How) Do Electoral Surprises Drive Business Cycles? Evidence from a New Dataset," CESifo Working Paper Series 10584, CESifo.
    9. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    10. Laura Nowzohour & Livio Stracca, 2020. "More Than A Feeling: Confidence, Uncertainty, And Macroeconomic Fluctuations," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 691-726, September.
    11. Amélie Charles & Olivier Darné & Fabien Tripier, 2017. "Uncertainty and the Macroeconomy," Post-Print hal-01549625, HAL.
    12. Dibiasi, Andreas & Sarferaz, Samad, 2023. "Measuring macroeconomic uncertainty: A cross-country analysis," European Economic Review, Elsevier, vol. 153(C).
    13. Amélie Charles & Olivier Darné & Fabien Tripier, 2018. "Uncertainty and the macroeconomy: evidence from an uncertainty composite indicator," Applied Economics, Taylor & Francis Journals, vol. 50(10), pages 1093-1107, February.
    14. Saygin Sahinoz & Evren Erdogan Cosar, 2020. "Quantifying uncertainty and identifying its impacts on the Turkish economy," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(2), pages 365-387, May.
    15. Berg, Tim Oliver, 2019. "Business Uncertainty And The Effectiveness Of Fiscal Policy In Germany," Macroeconomic Dynamics, Cambridge University Press, vol. 23(4), pages 1442-1470, June.
    16. Gupta, Rangan & Ma, Jun & Risse, Marian & Wohar, Mark E., 2018. "Common business cycles and volatilities in US states and MSAs: The role of economic uncertainty," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 317-337.
    17. Chatterjee, Pratiti & Milani, Fabio, 2020. "Perceived uncertainty shocks, excess optimism-pessimism, and learning in the business cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 342-360.
    18. Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2019. "The impact of US uncertainty on the Euro area in good and bad times: evidence from a quantile structural vector autoregressive model," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 353-368, May.
    19. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2018. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," Financial and Monetary Policy Studies, in: Laurent Ferrara & Ignacio Hernando & Daniela Marconi (ed.), International Macroeconomics in the Wake of the Global Financial Crisis, pages 159-181, Springer.
    20. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2021. "Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty," Journal of Econometrics, Elsevier, vol. 225(1), pages 47-73.

    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:gam:jecomi:v:11:y:2023:i:12:p:303-:d:1301526. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.