IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v49y2025i4s0308596125000333.html
   My bibliography  Save this article

Assessing digitalization and the economy: A dynamic recursive CGE modelling approach

Author

Listed:
  • Okorie, David Iheke
  • Adedeji, Adeniran
  • Ifionu, Chinedu

Abstract

Advanced economies continue to adopt and embed digitalization into their everyday activities. One may ponder; how does a significant digitalization upgrade affect developing economies? To answer this question and highlight the economic & environmental effects of digitalization in a developing economy, this study adopts the singly-country dynamic Energy and Environment Integrated computable general equilibrium model (EEICGE) with a 5-year gradual digitalization policy plan design in Nigeria, a developing economy. The shock simulation comparative statics show digitalization-driven investment opportunities in Nigeria and reveal that digitalization increases productivity and national output levels while leading to a substantial decline in the general price levels in the Nigerian economy. It further strengthens Nigeria's international trade revenue and makes its goods and services cheaper in the international (market) communities. Digitalization of the Nigerian economy also results in a structural shift and decline in on-site labour equilibrium demand/supply that is substituted mainly with capital (machines) but increases online entrepreneurial labour services such as online training sessions/classes, content creations like comedy skits, online sells & delivery services, online skill acquisition sessions etc., aimed at increasing agents' labour income. Thus, digitalization increases the economic agents' consumption, income, and welfare while availing the rich household cohorts, firms, and governments the chance to take advantage of the digitalization-driven investment opportunities financed through decreases in consumption budgets. In the end, this study presents pieces of evidence that favour and support substantial digitalization upgrades in developing economies like Nigeria.

Suggested Citation

  • Okorie, David Iheke & Adedeji, Adeniran & Ifionu, Chinedu, 2025. "Assessing digitalization and the economy: A dynamic recursive CGE modelling approach," Telecommunications Policy, Elsevier, vol. 49(4).
  • Handle: RePEc:eee:telpol:v:49:y:2025:i:4:s0308596125000333
    DOI: 10.1016/j.telpol.2025.102936
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596125000333
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.telpol.2025.102936?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:telpol:v:49:y:2025:i:4:s0308596125000333. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    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.