Internet technology has broken the boundaries of traditional geographical space, greatly shortened the spacetime distance between regions, and maximized the integration of various resources. Therefore, in the era of the digital economy, the rapid development of network information technology,...

Green development is critical for China's economic transformation. Enhancing green total factor energy efficiency (here after GTFEE) is vital to emission reduction and to win-win industrial development.This study uses the panel data of 30 Chinese provinces for the period 2005–2016 to...

The rapid increase in per capita energy consumption is likely to be an important factor affecting the sustainable development of China's economy. In this study, the convergence of per capita energy consumption, which is an important inherent characteristic of China's energy consumption, is...

Hydropower plays a major role in the Canadian electricity generation industry. Few attempts have been made, however, to assess the efficiency of hydropower generation in Canada. This paper analyzes the overall efficiency of hydropower generation in Canada from comprehensive viewpoints of...

To protect the security of energy supply, China is building national strategic petroleum reserve (SPR). We present a dynamic programming model to determine the optimal stockpiling and drawdown strategies for China's SPR under various scenarios, focusing on minimizing the total cost of reserves....

Based on time series of crude oil prices (daily spot), this paper analyses price fluctuation with two significant parameters [tau] (speculators' time scales of investment) and [epsilon] (speculators' expectations of return) by using Zipf analysis technique, specifically, by mapping [tau]-returns...

Estimation has been carried out using GARCH-type models, based on the Generalized Error Distribution (GED), for both the extreme downside and upside Value-at-Risks (VaR) of returns in the WTI and Brent crude oil spot markets. Furthermore, according to a new concept of Granger causality in risk,...

This paper applies pattern matching technique to multi-step prediction of crude oil prices and proposes a new approach: generalized pattern matching based on genetic algorithm (GPMGA), which can be used to forecast future crude oil price based on historical observations. This approach can detect...