The mitigation efforts of China are increasingly important for meeting global climate target since the rapid economic growth of China has led to an increasing share in the world's total CO2 emissions, and nowadays, China has become the world's largest CO2 emitter. This paper sets out to explore...

By proposing the hypotheses for carbon price volatility, this paper uses variance ratio and Ensemble Empirical mode decomposition (EEMD) to analyze the carbon price. Results show that carbon price is influenced by temperature, market mechanism and heterogeneous environment. Carbon market is...

An approach to determine carbon emission reduction target allocation based on the particle swarm optimization (PSO) algorithm, fuzzy c-means (FCM) clustering algorithm, and Shapley decomposition (PSO-FCM-Shapley) is proposed in this study. The method decomposes total carbon emissions into an...

In recent years, the surge in China's CO2 emissions has caused increasing international concern. In this paper, we investigate whether and when the turning point in China's CO2 emissions would occur. A simple yet powerful neoclassical Green Solow Model (GSM) is utilized herein as the main...

Energy poverty has got increasing attention during the latest three decades. Measuring energy poverty is the premise of policy making to alleviate energy poverty. There is no unified energy poverty measurement that has been widely accepted. This paper reviews the commonly used energy poverty...

In this paper, the consumer lifestyle approach is applied to analyze the impact of consumption by urban and rural households on energy use and CO2 emissions for different regions and income levels in China. Grey Model is used to compare the relationship between energy consumption, consumption...

This paper introduces the China Energy & Environmental Policy Analysis (CEEPA) system. The core of CEEPA is a recursive dynamic computable general equilibrium model, in which the interactions among different agents in the macroeconomic system of China are described. The specific characteristics...

This study evaluates the environmental efficiency of industrial sectors of Chinese major cities. The Multi-directional efficiency analysis (MEA) approach are utilized for evaluation, thus both the integrated MEA efficiency levels and the efficiency patterns, which are represented by the variable...

With the rapid growth of the carbon market, carbon price fluctuations are increasingly important for market participants. Carbon market risk directly affects the investor confidence and emission reduction results. In the present study, extreme value theory (EVT) is used to analyze risk exposure...

This paper examines carbon price volatility using data from the European Union Emission Trading Scheme from a nonlinear dynamics point of view. First, we use a random walk model, including serial correlation and variance ratio tests, to determine whether carbon price history information is fully...