Information and communication technologies and sustainable development in ECOWAS subregion: Evidence from a panel cointegration analysis

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dc.contributor.authorFavour Chidinma Onuoha, Benedict I. Uzoechina, Chukwunenye Ferguson Emekaraonye, Onyinye Ifeoma Ochuba, and Nora Francis Inyang
dc.date.accessioned2025-09-29T10:40:20Z
dc.date.issued2022-08-06
dc.descriptionThis study explores the causal relationship between information and communication technologies (ICT) and sustainable development in the ECOWAS subregion, focusing on environmental (CO₂ emissions), economic (real GDP), and social (human development index) dimensions. The analysis covers the period 1995–2020, with countries categorized into low-income and lower-middle-income groups. Using panel fully modified ordinary least squares (PFMOLS) and Dumitrescu–Hurlin causality models, the study investigates the dynamic interlinkages among the variables. Findings reveal support for the Environmental Kuznets Curve (EKC) hypothesis in low-income countries, suggesting that economic growth initially increases environmental degradation but later improves it with higher income levels. Conversely, the EKC hypothesis is rejected for lower-middle-income countries, where ICT adoption appears to have different developmental implications. The study recommends targeted policy measures to promote environmentally friendly ICT innovations and incentivize sustainable practices that minimize negative environmental impacts while strengthening economic growth and social well-being in the ECOWAS region.
dc.description.abstractThis study investigated the causal linkage between information and communication technologies (ICT) and sustainable development (environmental—CO2, economic— RGDP, and social—HDI) in the ECOWAS subregion categorized into low-income and lower-middle-income countries for the period 1995–2020. Cointegrating regression and causality methods were employed to estimate the dynamic linkage among vari ables in panel fully modified ordinary least squares (PFMOLS) and Dumitrescu–Hurlin causality models. The results of the study support the environmental Kuznets curve (EKC) hypothesis for low-income countries while it rejects EKC for lower-middle income countries. The study recommends policy formulations targeted at incentiviz ing the use of environmentally friendly technologies that minimizes positive impact on the environment and enhance sustainable development
dc.identifier.urihttps://ir.uat.edu.ng/handle/123456789/67
dc.language.isoen
dc.publisherWiley
dc.titleInformation and communication technologies and sustainable development in ECOWAS subregion: Evidence from a panel cointegration analysis
dc.typeArticle

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