Mastering the underlying characteristics of carbon price changes can help governments formulate correct policies to keep efficient operation of carbon markets, and investors take effective measures to evade their investment risks. Empirical mode decomposition (EMD), a self-adaption data analysis...

Mastering the underlying characteristics of carbon price changes can help governments formulate correct policies to keep efficient operation of carbon markets, and investors take effective measures to evade their investment risks. Empirical mode decomposition (EMD), a self-adaption data analysis...

The aim of this research is to examine the structural changes of European carbon futures price under the European Union Emissions Trading Scheme (EU ETS) during 2005-2012. More speci fically, by relying on the daily EU allowance (EUA) futures contract, we investigate the structural changes of...

This article investigates the European carbon futures price dynamics by applying the Zipf analysis. The results show that: first, carbon price behaviour is asymmetric, and the long-term bearish probability is greater than the long-term bullish probability. Second, time-scales of investment and...

This article investigates the European carbon futures price dynamics by applying the Zipf analysis. The results show that: first, carbon price behaviour is asymmetric, and the long-term bearish probability is greater than the long-term bullish probability. Second, time-scales of investment and...

The aim of this research was to examine the structural changes of European carbon futures price under the European Union Emissions Trading Scheme during 2005-2012. More specifically, by relying on the daily EU allowance futures contract, we investigate the structural changes of the European...

To find the key impact factors of CO2 emissions to realize the carbon intensity target, this paper examined the impact factors of population, economic level, technology level, urbanization level, industrialization level, service level, energy consumption structure and foreign trade degree on the...

In general, due to inherently high complexity, carbon prices simultaneously contain linear and nonlinear patterns. Although the traditional autoregressive integrated moving average (ARIMA) model has been one of the most popular linear models in time series forecasting, the ARIMA model cannot...

Due to the movement and complexity of the carbon market, traditional monoscale forecasting approaches often fail to capture its nonstationary and nonlinear properties and accurately describe its moving tendencies. In this study, a multiscale ensemble forecasting model integrating empirical mode...

In this ever changing competitive global society, universities in China strive to achieve quality in the programs, courses, qualifications and services offered to their clients. This paper debunks that myth and argues that micro-teaching can be used as a tool to ensure quality of pre-service...