International Journal of Mathematics Trends and Technology
Volume 71 | Issue 7 | Year 2025 | Article Id. IJMTT-V71I7P102 | DOI : https://doi.org/10.14445/22315373/IJMTT-V71I7P102
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 19 May 2025 | 26 Jun 2025 | 11 Jul 2025 | 27 Jul 2025 |
Ayotokun Kolade Emmanuel, Adeosun Mabel Eruore, Bakare Olasubomi Abdulateef, "Formulating a Deterministic Model for Suppressing the Effects of Fuel-Subsidy Removal on the Nigerian Economy," International Journal of Mathematics Trends and Technology (IJMTT), vol. 71, no. 7, pp. 11-27, 2025. Crossref, https://doi.org/10.14445/22315373/IJMTT-V71I7P102
This study develops a deterministic SEIR model to evaluate and mitigate the impact of fuel subsidy removal on the Nigerian economy. It derives a system of nine non-linear differential equations driven by assumed interactions among economic sectors. The model analyzes fuel subsidy removal, free and prevalent steady states and obtains the economic distress reproduction number, which was found to be greater than one, indicating ongoing economic distress. The sensitivity indices show that the rates at which major sectors are affected due to the increase in fuel price need to be reduced to the greatest extent. Descriptive data of the fuel prices for a four-year period covering the pre- and post-fuel subsidy removal show higher mean, range, and variance in the post-fuel subsidy removal era. Numerical simulations reveal a sharp rise in distress across sectors, followed by a slow and non-uniform recovery rate. The sector comprising individual households that consume foodstuffs experiences greater disruption than the commuters and utilizers of manufactured goods. Also, the recovery path remains unstable, pointing to long-term structural effects. The sensitivity analysis result suggests that adjusting certain parameters can minimize the economic distress number. The study concludes that fuel subsidy removal causes immediate, widespread disruption across Nigeria’s economy, with non-uniform recovery rates. It stresses the urgent need for targeted interventions to support the most vulnerable sectors.
Deterministic models, Economic sectors, Financial contagion, Fuel subsidy, SEIR FS removal modeling.
[1] Stella Ngozi Okoroafor, Michael Chidiebere Okoroafor, and Mark Umunna Amadi, “Fuel Subsidy Removal: Implications on the
Nigerian Economy,” Energy Transition, Climate Action and Sustainable Agriculture, pp. 69-94, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Hamisu Ali, Danjuma Ahmad, and Adamu Jibrilla, “Assessing the Long-Term Socio-Economic Impact of Fuel Subsidy Removal on
Households Living Standards in Adamawa State, Nigeria: An Empirical Analysis,” World Journal of Innovation and Modern
Technology, vol. 8, no. 1, pp. 26-46, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[3] B. Majeed,
Fuel Subsidy is Gone — Tinubu Declares, Premium Times, 2023. [Online]. Available:
https://www.premiumtimesng.com/tag/may-29
[4] Peterson K. Ozili, “Implications of Fuel Subsidy Removal on the Nigerian Economy,” Public Policy’s Role in Achieving Sustainable
Development Goals, pp. 115-130, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Aresh Dadlani et al., “Deterministic Models in Epidemiology: From Modeling to Implementation,” arXiv preprint arXiv:2004.04675,
pp. 1-34, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Matthew O. Adewole et al., “Modeling the Dynamics of COVID-19 in Nigeria,” International Journal of Applied and Computational
Mathematics, vol. 7, pp. 1-25. 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Akindele Akano Onifade, “Subharmonic Bifurcation in Malaria-Lassa Fever Co-Infection Epidemic Model with Optimal Control
Application,” Doctoral Dissertation, 2021.
[Google Scholar] [Publisher Link]
[8] Oke I. Idisi et al., “A New Compartmentalized Epidemic Model to Analytically Study the Impact of Awareness on the Control and
Mitigation of the Monkeypox Disease,” Healthcare Analytics, vol. 4, pp. 1-15, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Asimiyu O. Oladapo et al., “Optimal Control Analysis on Mathematical Model of Dynamical Transmission of HIV-Malaria Co
Infection,” Journal of Southwest Jiaotong University, vol. 58, no. 1, pp. 556-572, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Christian Viladent, “An Epidemiologic Approach of Financial Markets,” Globalization and the Reform of the International Banking
and Monetary System, pp. 258-265, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Alberto Bucci et al., “Financial Contagion and Economic Development: An Epidemiological Approach,” Journal of Economic
Behavior & Organization, vol. 162, pp. 211-228, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Olena Kostylenko, Helena Sofia Rodrigues, and Delfim F. M. Torres, “Banking Risk as an Epidemiological Model: An Optimal
Control Approach,” Operational Research, vol. 223, spp. 165-176, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Ibrahim Shittu, Abdul Rais Abdul Latiff, and Siti ‘Aisyah Baharudin, “Assessing the Compensation and Reinvestment Plans for Fuel
Subsidy Rationalization in Nigeria: A Dynamic Computable General Equilibrium Approach,” Energy, vol. 293, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[14] J.A. Akingbade, and F.D. ayegbusi, “A Deterministic Mathematical Model and Analysis of Transmission Dynamics of Covid-19 from
Reservoir-to-Human,” Trends in Computational and Applied Mathematics, vol. 26, no. 1, pp. 1-26, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Opeyemi Akinyemi et al., “A Simulation of the Removal of Fuel Subsidy and the Performance of the Agricultural Sector in Nigeria
Using a Dynamic Computable General Equilibrium Approach,” Covenant Journal of Business and Social Sciences, vol. 8, no. 1, pp.
60-70, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Irene Monasterolo, and Marco Raberto, “The Impact of Phasing Out Fossil Fuel Subsidies on the Low-Carbon Transition,” Energy
Policy, vol. 124, pp. 355-370, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Alessandro Antimiani, Valeria Costantini, and Elena Paglialunga, “Fossil Fuels Subsidy Removal and the EU Carbon Neutrality
Policy,” Energy Economics, vol. 119, pp. 1-27, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[18] CBN, Central Bank of Nigeria Economic Report, 2024. [Online]. Available:
https://www.cbn.gov.ng/Out/2025/RSD/November%202024%20Economic%20Report.pdf
[19] CBN, Central Bank of Nigeria Consumer Protection Regulation, 2024. [Online]. Available:
https://www.cbn.gov.ng/Out/2024/ccd/exposure%20draft%20revised%20consumer%20protection%20regulations%202.0.pdf
[20] Kelly de Bruin, and Aykut Mert Yakut, “The Impacts of Removing Fossil Fuel Subsidies and Increasing Carbon Taxation in Ireland,”
Environmental and Resource Economics, vol. 85, no. 3, pp. 741-782, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Odo Diekmann, Johan Andre Peter Heesterbeek, and Johan Anton Jacob Metz, “On the Definition and the Computation of the Basic
Reproduction Ratio R0 in Models for Infectious Diseases in Heterogeneous Populations,” Journal of Mathematical Biology, vol. 28,
pp. 365-382, 1990.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Federal Ministry of Agriculture & Rural Development, The Agriculture Promotion Policy 2016–2020: Building on the successes of
the ATA, Closing Gaps, Policy and Strategy Document, Abuja, Nigeria, 2016.
[Google Scholar] [Publisher Link]
[23] Manufacturers Association of Nigeria, Capacity Utilization Report, 2024. [Online]. Available: www.manufacturersnigeria.org
[24] National Bureau of Statistics, Demographic Statistics Bulletin, NBS, Demographic Statistics Division, 2024.
[Publisher Link]
[25] Reuters, Nigeria's NNPC Stake in Dangote Refinery Reduced Over Non-Payment, CEO Tells Paper’ Reuters, 2024. [Online].
Available:
https://www.reuters.com/business/energy/nigerias-nnpc-stake-dangote-refinery-reduced-over-non-payment-ceo-tells-paper
2024-07-15/
[26] Yemi Kale, and Sani I. Doguwa, “On the compilation of Labour force statistics for Nigeria,” CBN Journal of Applied Statistic, vol. 6,
no. 1, pp. 183-198, 2015.
[Google Scholar] [Publisher Link]
[27] National Bureau of Statistics, Premium Motor Spirit (Petrol) Price Watch PMS Nigeria, Microdata Catalog, 2025. [Online]. Available:
https://microdata.nigerianstat.gov.ng/index.php/catalog/157
[28] Abdulkareem Afolabi Ibrahim et al., “Deterministic Model and Analysis of Fuel Subsidy in Nigeria Commodity Market
Dynamics,” Journal of Mathematical Analysis and Modeling, vol. 4, no. 2, pp. 1-15, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Charles Emeka Abaekih, Ifeyinwa Stella Abaekih, and Somkenechi Sophia Unachukwu, “Impact of Fuel Subsidy Removal on
Transportation System in Nigeria,” International Journal of Advance Research and Innovative Ideas in Education, vol. 10, no. 2, pp.
2395-4396, 2024.
[Publisher Link]
[30] Rimamsitse Nuhu, “Comparative Analysis of Fuel Subsidy Removal and the Diversification Policies for Agricultural Development in
Nigeria,” International Journal of Science, Engineering and Technology, vol. 11, no. 5, pp. 1-18, 2023.
[Google Scholar]
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