Drawing on the Kaya identity, we assess the role of the main driver of the decline in carbon intensity, namely the (economic) energy intensity. Using meta-signi?ficance testing for a sample of 44 studies, dealing with the causality between energy and GDP, we ?find that both variables are...

Meta-regression models are increasingly utilized to integrate empirical results across studies while controlling for the potential threats of data-mining and publication bias. We propose extended meta-regression models and evaluate their performance in identifying genuine em- pirical effects by...

We carry out a meta-analysis of the very large literature on testing for Granger causality between energy use and economic output to determine if there is a genuine effect in this literature or whether the large number of apparently significant results is due to publication or misspecification...

Time series of electricity, petroleum products, and renewables are found to be highly correlated with total energy consumption. Applying this insight to the huge literature on energy-GDP causality explains that the results of energy-GDP causality tests frequently coincide with the results of...

Time series of electricity, petroleum products, and renewables are found to be highly correlated with total energy consumption. Applying this insight to the huge literature on energy-GDP causality explains that the results of total energy-GDP causality tests frequently coincide with the results...

We carry out a meta-analysis of the very large literature on Granger causality tests between energy use and economic output to determine if there is a genuine effect in this literature or whether the large number of apparently significant results is due to publication and misspecification bias....