The study analyzed the relationship between non-oil sector and economic growth from 1980-2012 and data was derived from Central Bank of Nigeria's statistical bulletin (CBN) and World Development Indicators (2013). Variables of interest were GDP as proxy for economic growth, non-oil exports, openness as proxy for technological advancement, oil exports and exchange rate variables. The theoretical framework was the Neoclassical growth model and model specification followed Ondigo et al.,(2013) in conformity to theoretical framework. Unit root test of stationarity was carried out using Augmented Dickey Fuller test and Phillips Peron test and once data was proved stationary, we carried out co integration test; which shows four co-integrating relationships, an indication of long run relationship among variables. Thus, we proceeded to Error Correction Model (ECM) ECM was significant however; non oil export variable was significant but negative. This is an indication of the dismal performance of the sector. The paper concludes that there is need for the government to focus on reviving the sector to improve its performance and ensure that the sector is repositioned to meet international standards.

Energy remains indispensable in production and consumption activities and is therefore the driving force of economic growth and improved living standard. Despite the fact that Africa is rich in renewable energy, the continent’s energy mix is largely dominated by the fossil fuels. This could have deteriorating effects on the environment and subsequently on the health of people across the continent. The sustainable development goals are geared towards ensuring a sustainable future for all, with good health, well-being and sustainable environment as part of the principal targets. However, most developing countries including West African countries have been experiencing declining health patterns following the lack of attention on health-related factors like energy and environment. This study therefore intends to examine the nexus among energy consumption, environmental quality and health in West African countries while employing data from 2000 to 2019. The study disintegrates energy consumption into renewable and non-renewable energy. Pooled Mean Group Autoregressive Distributed Lag (PMG/ARDL) model was employed for the study. Short run estimates reveal a negative influence of non-renewable energy on life expectancy in West African countries. Similarly, non-renewable energy exerts a significant and negative influence on child mortality. Non-renewable energy also reduces health expenditure. Renewable energy was observed to increase life expectancy and reduce child mortality. The study concludes that a substantial amount of renewable energy be incorporated into the energy basket of West African countries to improve health conditions.