Vol. 3 No. 1 (2025)

Open Access

Article

Article ID: 2269

The curse of dependency: Examining structural change in African economies

by Ernest Alang Wung, Joslanie Douanla Tameko, Muhamadu Awal Kindzeka Wirajing

Forum for Economic and Financial Studies, Vol.3, No.1, 2025;

This study investigates the effect of external dependency on structural change in 54 African countries between 1990 and 2021. The Two-Step System Generalized Method of Moments strategy is adopted to control for potential endogeneity problems. Findings reveal that structural change in Africa is strongly impaired by the level of external dependency. This is since all proxies of external dependency are negatively and statistically significant with all structural change proxies. For instance, under agricultural productivity, external debts stocks (EDS) give an eigen value (β) of 0.879, standard coefficient (SC) = 0.162, and p = 0.000; for external debt services (DSED), β = 0.240, SC = −0.040, and p = 0.972; and for personal remittances received (PRR), we have β = 0.764, SC = −0.133, and p = 0.031. Depicting that, the more African countries rely on the external world for change, the less they realize this change. The results remain consistent after accounting for income differences by segmenting African countries into low- and middle-income groups. As suggestions to policymakers, for structural change to concretely take place in Africa, the rate of external dependence should be limited, and resources in Africa and local methods of growth should be used rather than copying from the Western world. Though the results are valid across income groups and Africa, the case of countries could be more significant.

Open Access

Article

Article ID: 1541

The role of artificial intelligence in enhancing economic efficiency and innovation

by Mirjana Dejanović

Forum for Economic and Financial Studies, Vol.3, No.1, 2025;

The European Union (EU) has prominently embraced AI to boost sustainable economic growth and global competitiveness, particularly in manufacturing, healthcare, and finance. AI-driven automation has revolutionized production processes, optimizing resource allocation and efficiency. In healthcare, AI applications have improved diagnostics and personalized therapy, advancing medical research and patient care. In finance, AI algorithms have streamlined operations, strengthened fraud detection, and supported informed decision-making, improving market stability. The adoption of AI within the EU has significantly improved economic efficiency and encouraged innovation, promising productivity gains, improved health outcomes, and optimized financial services. Future efforts should focus on strategic investments in AI research, ethical deployment, and regulatory frameworks to maximize benefits while effectively managing challenges. This abstract summarizes the EU’s progress in AI adoption and its implications for sustainable economic development, positioning AI as a pivotal driver of innovation. In Serbia, AI offers potential to reduce costs, boost profitability, mitigate risks, and capitalize on business opportunities, facilitating informed decisions that foster sustainable economic growth.