Original Research Article

Artificial Intelligence and Environmental Sustainability in International Political Economy: Implications for Nigeria

ISSN 2979-8582  ·  Article No. 001

Tony Aku Amba Nanbil Amba

Publication Details

Publication Date
10/07/2026
Volume / Issue
Vol 1, Issue 2 (2026)
Article No.
001
Journal
British Journal of Contemporary Research
Received
11 Jun 2026
Views
7
Downloads
5
Affiliations

Tony Aku Amba: Neo Tropical Urban Rural Environmental Resilience and Sustainable Development Initiative Jos, Plateau State, Nigeria.

Nanbil Amba: Department of Mass Communication. Plateau State Polytechnic Jos

ORCID

TAA 0000-0002-81048756

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology with significant implications for environmental governance, sustainable development, and the evolving dynamics of the International Political Economy (IPE). This study examines the role of AI in advancing environmental sustainability in Nigeria while exploring how global political–economic structures influence its adoption and effectiveness. Using a mixed-methods research design, the study combined quantitative data from 210 respondents drawn from environmental regulatory agencies, technology firms, academic institutions, and civil society organizations with qualitative interviews involving 25 key informants. Descriptive statistics and thematic analysis were employed to analyze the data. The findings reveal that AI contributes substantially to environmental monitoring, climate prediction, energy efficiency, and resource management, with environmental monitoring recording the highest perceived effectiveness. However, inadequate digital infrastructure, high implementation costs, weak regulatory frameworks, limited technical expertise, and dependence on foreign AI platforms significantly constrain its widespread adoption. Correlation analysis further demonstrates a strong positive relationship between institutional capacity and the effectiveness of AI-driven environmental sustainability initiatives, highlighting the importance of governance and policy support. Qualitative evidence indicates that donor dependence, foreign ownership of AI technologies, limited national control over environmental data, and alignment with external development agendas shape AI implementation in Nigeria, reinforcing existing technological and political–economic dependencies. The study concludes that while AI offers considerable opportunities for improving environmental sustainability, its transformative potential can only be fully realized through strengthened institutional capacity, investment in domestic innovation, improved digital infrastructure, and policies that promote technological sovereignty. By integrating AI, environmental sustainability, and International Political Economy perspectives, the study contributes to contemporary debates on sustainable development and provides practical policy recommendations for enhancing Nigeria’s resilience and competitiveness in the global digital economy.

Keywords

Artificial Intelligence Environmental Sustainability International Political Economy Environmental Governance Nigeria.

License

CC BY 4.0

This article is published under the Creative Commons Attribution 4.0 International License . Free to read, share, and adapt with attribution.

Cite This Article

Tony Aku Amba, Nanbil Amba (2026). Artificial Intelligence and Environmental Sustainability in International Political Economy: Implications for Nigeria. British Journal of Contemporary Research, 1(2), Article 001.
Tony Aku Amba. “Artificial Intelligence and Environmental Sustainability in International Political Economy: Implications for Nigeria.” British Journal of Contemporary Research, vol. 1, no. 2, 2026.
Tony Aku Amba. “Artificial Intelligence and Environmental Sustainability in International Political Economy: Implications for Nigeria.” British Journal of Contemporary Research 1, no. 2.

Metadata

ISSN 2979-8582
Tracking ID BEX_JUN_26_039

British Journal of Contemporary Research

Open Access · Peer Reviewed · Published by Bexford Publishing Ltd

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