This study provides insight into sustainability challenges in Venezuela by exploring the causal interactions between oil price, energy consumption and carbon dioxide (CO₂) emissions in Venezuela. Economic growth, government consumption expenditure and trade openness are included as additional determinants in the analysis. The auto-regressive distributed lag (ARDL) bounds approach to cointegration provides evidence of long-run relationship between the variables with the incorporation of structural breaks observed in the series. The estimates suggest that an increase in crude oil price significantly increases energy consumption, government consumption expenditure and energy consumption generate CO₂emissions, and CO₂emissions exert negative effects on economic growth in the oil-rich economy. This study further examined the direction of causality between the variables using the innovative accounting approach (IAA). The results suggest that crude oil price causes energy consumption in the economy. No significant causal relationship is found between energy consumption and economic growth. Energy consumption causes CO₂emissions in the economy. In addition, a unidirectional causality runs from CO₂emissions to economic growth. The response of economic growth to CO₂emissions indicates that more CO₂emissions in the economy would exert negative effects on economic growth. It is, therefore, expected that policy makers would consider energy diversification as a major component of economic diversification policies in Venezuela.

Empirical evidence is lacking on the nexus between coffee commodity output, climate change, and commodity price volatility of Africa’s most populous country, Nigeria, and other developing countries. To fill this gap, this study analyzed the reaction of coffee output to climate change and commodity price volatility. We used secondary data from 1961 to 2015 from reliable sources for Nigeria. The study adopted generalized autoregressive conditional heteroscedasticity (GARCH), autoregressive conditional heteroscedasticity (ARCH), and fully modified ordinary least square (FMOLS) in analysis of coffee output reaction to climate change and commodity price volatility. The findings show that coffee output in Nigeria is influenced by climate change and the international commodity price of coffee. The study demonstrates the potential benefits of improving coffee output and export through climate mitigation and adaptation measures and revival of agricultural commodity marketing in Nigeria and other developing countries.