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THE POLITICAL ECONOMY OF FUEL SUBSIDY REMOVAL: GOVERNANCE AND SUSTAINABLE DEVELOPMENT IN NIGERIA Gbadebo, Adedeji D
Journal of Social Political Sciences Vol 6 No 3 (2025): August 2025
Publisher : Universitas Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/jsps.v6i3.273

Abstract

The removal of fuel subsidies in Nigeria has sparked significant debates regarding its impact on governance, economic sustainability, and public welfare. This study examines the governance dynamics influencing subsidy removal and its economic implications for long-term development. Utilizing a quantitative approach, the research collected data from 385 respondents in Bida, Niger, and employed a binary logit regression model to analyze the economic, social, political, and external factors influencing policy outcomes. The findings suggest that while subsidy removal aims to reduce fiscal pressure and enhance economic efficiency, it has triggered inflation, disproportionately affecting low-income households and exacerbating economic inequality. The social consequences include heightened public dissatisfaction due to rising transportation and living costs, with government palliatives failing to sufficiently alleviate economic hardship. Politically, subsidy removal has undermined trust in the government due to concerns about corruption and misallocation of funds. The study highlights the need for a transparent framework to manage subsidy savings, accompanied by comprehensive social welfare policies to mitigate negative impacts. Policy recommendations include targeted subsidies for vulnerable groups, improved public transportation, and increased government transparency to rebuild public trust and ensure sustainable economic reforms.
HARNESSING ARTIFICIAL INTELLIGENCE FOR GOVERNANCE EFFICIENCY IN FCT, ABUJA Gbadebo, Adedeji D
Journal of Social Political Sciences Vol 6 No 2 (2025): May 2025
Publisher : Universitas Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/jsps.v6i2.274

Abstract

This study explores the application of Artificial Intelligence (AI) in enhancing governmental efficiency within the Federal Capital Territory (FCT), Abuja, Nigeria. Anchored in the Socio-Technical Systems (STS) Theory, the research examines the interplay between technological innovation and sociopolitical structures in public governance. Employing a quantitative survey design, data were collected through structured questionnaires administered to 385 respondents selected via stratified random sampling. The data were analyzed using the chi-square statistical technique to test associations between key variables. The findings reveal that AI significantly improves decision-making processes and public service delivery, with 71% of respondents affirming its transformative potential in governance. However, the study identifies critical barriers, including inadequate infrastructure and insufficient technical expertise among public sector personnel. In response, the research advocates for the establishment of robust digital infrastructure, targeted AI capacity-building programs for government officials, and the ethical integration of AI systems. Furthermore, it recommends the implementation of pilot projects in strategic sectors such as healthcare, urban planning, and transportation to foster public trust and ensure inclusive adoption. The study contributes practical insights for policymakers, highlighting AI as a catalyst for transparent, responsive, and economically progressive governance in Abuja.