In this study Data Envelopment Analysis (DEA) is used not only to develop an efficiency index which combines economic activity, CO2 emissions and energy consumption of the production process in the 31 countries of Europe for the year 2004, but also to make estimates about the margins of long...

This paper integrates data envelopment analysis (DEA) and artificial neural networks (ANN) to forecast the role of public expenditure in economic growth in OCDE countries. The results show that this approach is a powerful and appropriate method to forecast this role. DEA method allows us to...

This paper applies the most recently developed autoregressive distributed lag (ARDL) co-integration procedure to re-investigate co-integration and the causal relationship between energy consumption and real GDP within a multivariate framework that includes capital stock and labor input for...