IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05664166.html

Artificial Intelligence and the Modernization of Public Spending : Towards an Augmented Contingency Model for Fiscal Governance in Morocco
[L’intelligence artificielle au service de la modernisation de la dépense publique :]

Author

Listed:
  • Mohamed Bazi

    (UH2C - Université Hassan II de Casablanca = University of Hassan II Casablanca = جامعة الحسن الثاني (ar))

  • Mohamed Adraoui

    (UH2C - Université Hassan II de Casablanca = University of Hassan II Casablanca = جامعة الحسن الثاني (ar))

  • Saad Boudraa

    (UH2C - Université Hassan II de Casablanca = University of Hassan II Casablanca = جامعة الحسن الثاني (ar))

Abstract

The current study examines the question of the possible influence of artificial intelligence on the future development of public finance management in the Middle East and North Africa region, in particular Morocco. In other words, the study seeks to investigate the possibility of using artificial intelligence technologies, including predictive analytics and simulation-based decision support, for shifting from static budgeting to dynamic budgeting. Our study is based on a conceptual framework, which is informed by an extensive review of the literature on public financial governance and application of AI in government. Using data from the World Bank, IMF, and OECD on institutions, we seek to compare fiscal inflexibility and readiness for AI in the region. Challenges include fluctuating oil prices and geopolitics of the Strait of Hormuz in 2025-2026. Our study suggests that there is indeed genuine potential for AI applications to improve the process of financial forecasting, enhance the allocation of available public funds, and contribute to the transition from crisis-driven governance to strategic budgetary management. In this paper, we have developed a theoretical framework for the role of AI as a mediating factor between budgetary restrictions and organizational agility.

Suggested Citation

  • Mohamed Bazi & Mohamed Adraoui & Saad Boudraa, 2026. "Artificial Intelligence and the Modernization of Public Spending : Towards an Augmented Contingency Model for Fiscal Governance in Morocco [L’intelligence artificielle au service de la modernisation de la dépense publique :]," Post-Print hal-05664166, HAL.
    • Handle: RePEc:hal:journl:hal-05664166
    DOI: 10.23882/ijdam.26324
    Note: View the original document on HAL open archive server: https://hal.science/hal-05664166v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05664166v1/document
    Download Restriction: no
    File URL: https://libkey.io/10.23882/ijdam.26324?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • H61 - Public Economics - - National Budget, Deficit, and Debt - - - Budget; Budget Systems
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

    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:hal:journl:hal-05664166. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.