This paper estimates the U.S. import demand for crude oil from Mexico. The analysis is based on time series from January 1990 to December 2010. Time series properties of the processes that generate the data are assessed in order to specify the order of integration for each series. According to...

The current research has explored the trade-energy nexus for Ghana using annual data within 1970-2011, using the Autoregressive distributed lag model (ARDL) and the Granger predictive causality test in bivariate modelling. The research findings provide evidence of a cointegration association...

Consistently cheaper fuel prices in one jurisdiction compared to a neighbouring jurisdiction should, holding other factors constant, lead to greater demand for fuel in the country with the lower price, due in part to legal fuel tourism. Fuel tourism, cross-border demand for fuel, represents an...

Non-monetary incentives are increasingly being studied in encouraging energy conservation. In light of this, we conducted a natural field experiment in student dormitories to assess the effect of honor-based incentives and goal setting on electricity saving and the intrinsic motivation to save...

This study measures the response of gasoline consumption to improved vehicle fuel efficiency (miles per gallon). Although an inverse relationship exists, the percentage decline is always less than the percentage efficiency improvement. As usually measured by past researchers, the long-run...

The economic cost of carbon pricing depends on the ability and incentives of firms to switch towards cleaner fuels. Yet, many fundamental economic forces that drive firms' decisions to use different fuels are unobserved, causing significant uncertainty over the effectiveness of carbon policies....

We follow a non-linear dynamic correlation approach using a combination of a DCC-GARCH model and a copula model to capture the dependence between oil price changes and inflation in Tunisia. The case of Tunisia is particularly instructive since, after having been an exporter and a major producer,...

We follow a non-linear dynamic correlation approach using a combination of a DCC-GARCH model and a copula model to capture the dependence between oil price changes and inflation in Tunisia. The case of Tunisia is particularly instructive since, after having been an exporter and a major producer,...

This study explores the integration of Variational Autoencoders (VAEs) and Genetic Programming (GP) to address key challenges in the development of smart cities as cyber-physical systems (CPS). The primary objective is to enhance decision-making processes, optimize resource allocation, and...

This study combines regression analysis with machine learning analysis to study the merit order effect of renewable energy focusing on German market, the largest market in Europe with high renewable energy penetration. The results show that electricity from wind and solar sources reduced the...