Infrastructure and Sustainable Growth in Nigeria: A Multi-Sectoral Analysis of Development Indicators and their Long-Run Impact (1999–2022)

This study examines the relationship between infrastructural development and sustainable economic growth in Nigeria from 1999 to 2022. Despite considerable public investment, Nigeria’s economic growth has remained inconsistent, raising concerns about the effectiveness of infrastructure in driving long-term development. Grounded in the New Growth Theory, this research employs the Augmented Dickey-Fuller (ADF) test for stationarity and the Autoregressive Distributed Lag (ARDL) model to evaluate both short- and long-run effects of infrastructure on economic performance. The analysis draws on secondary data from the Central Bank of Nigeria (CBN) Statistical Bulletin, World Development Indicators, and African Infrastructure Development Reports. Key infrastructure indicators considered include the ICT Development Index, Transport Development Index, Electricity Development Index, and Waste Service System. Findings reveal a long-run equilibrium relationship between infrastructural development and GDP; however, the individual impacts of most infrastructure indices were statistically insignificant in both the short and long term. While the ICT and Waste Service indicators showed positive but weak effects, transport and education infrastructure exhibited negative contributions. The error correction mechanism indicates a moderate pace of adjustment toward equilibrium. The study concludes that existing infrastructural development in Nigeria is inadequate to drive meaningful and sustained economic growth. It recommends more strategic, integrated, and performance-driven infrastructure policies. Future studies should explore regional variations and include environmental and social dimensions to provide a more comprehensive understanding of infrastructure’s role in development.lockchain technology (BCT) has emerged as a transformative tool in food supply chain management (FSCM), offering enhanced transparency, traceability, and trust. This paper critically reviews the application of blockchain in FSCM, synthesizing findings from theoretical and empirical studies to assess its effectiveness in addressing food safety, fraud prevention, and regulatory compliance. The review highlights blockchain's potential to improve transparency and traceability through immutable, decentralized ledgers, enabling real-time tracking of products from farmers to consumers. Case studies, such as IBM Food Trust's collaboration with Walmart, demonstrate significant reductions in traceability time and improved consumer trust. Additionally, blockchain's integration with IoT and big data analytics enhances food safety by enabling real-time monitoring of environmental conditions and automating recall processes, thereby reducing public health risks and economic losses.