This paper attempts to discuss the CO2 emissions embodied in Sino-US international trade using a sector approach. Based on an input-output model established in this study, we quantify the impact of Sino-US international trade on national and global CO2 emissions. Our initial findings reveal...

In late 2009, the Chinese government committed to cut its carbon dioxide emissions per unit of gross domestic product (GDP) by 40% to 45% of 2005 levels by 2020. This has raised the issue of how to allocate the CO2 reduction target regionally to meet the national reduction target. To meet this...

As the world’s largest CO2 emitter, China’s CO2 emissions have become one of the most popular issues concerned by domestic and foreign researchers. Therefore, analysis of the current status of China’s carbon emissions is very important. After drawing a chart of China’s carbon flow in...

This paper analyzes the long-term relationships between hydropower generation and climate factors (precipitation), hydropower generation capacity (installed capacity of hydropower station) to quantify the vulnerability of renewable energy production in China for the case of hydropower...

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...

To reduce gasoline consumption and emissions, the Chinese government has introduced a series of preferential policies to encourage the purchase of new energy vehicles (NEVs). However, enthusiasm for the private purchase of NEVs appears to be very low. This timely paper addresses the need for an...

Measuring and improving the energy performance with considering emission constraints is an important issue for China’s energy conservation, pollutant emissions reduction and environment protection. This study utilizes several data envelopment analysis (DEA) based models to evaluate the...

To improve estimation efficiency for future projections, the present study has proposed a hybrid algorithm, Particle Swarm Optimization and Genetic Algorithm optimal Energy Demand Estimating (PSO–GA EDE) model, for China. The coefficients of the three forms of the model (linear, exponential,...

This paper proposes a hybrid model based on genetic algorithm (GA) and system dynamics (SD) for coal production–environmental pollution load in China. GA has been utilized in the optimization of the parameters of the SD model to reduce implementation subjectivity. The chain of “Economic...

Energy poverty and fuel poverty are descriptors of problems of households' energy consumption, they are both distinct problems and have been addressed by many researchers, organizations and governments. Cross use of the terms of energy poverty and fuel poverty in published papers is common. As...