2025, Vol. 7, Issue 12, Part B

Author(s): Agbamu and OBORO

Abstract: This study investigates the impact of automation and artificial intelligence (AI) on green employment in Nigerias industrial sectors between 2010 and 2024, within the context of the countrys transition toward a sustainable, low-carbon economy. Anchored on Ecological Modernization Theory, Skill-Biased Technological Change, and the Just Transition Framework, the study employs an Autoregressive Distributed Lag (ARDL) model to examine both short- and long-run dynamics among Green Employment, Automation (AUT), Artificial Intelligence (AI), Government Expenditure (GE), Institutional Quality (INST), and labor adaptability (LBR). Empirical findings reveal that automation and AI have mixed but significant effects on green job creation-positive when complemented by strong institutions and workforce adaptability, but negative where skill mismatches persist. Government expenditure and institutional quality exert positive long-run influences on green employment, underscoring their role in driving a just transition toward sustainable industrialization. Diagnostic tests confirm model stability and reliability. The study concludes that Nigerias green industrial transformation requires an integrated approach that aligns digital innovation with environmental and labor policies, ensuring that technological advancement supports inclusive and sustainable growth. Policy recommendations include increased investment in digital reskilling, institutional strengthening, and targeted green fiscal incentives.

DOI: 10.33545/27068919.2025.v7.i12b.1778

Pages: 71-80 | Views: 124 | Downloads: 67

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