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As the world’s largest energy consumer today, China is causing increasing pressure on the global environment, and the power industry might bear the primary responsibility for producing nearly 50% of China’s CO₂ emissions. Investigating the main drivers of CO₂ emissions in China’s power industry is of vital importance for developing effective environmental policies. Based on the panel data of 30 provinces...
China has become the world’s largest carbon emitter, and coal consumption in the Yangtze River Economic Zone takes over more than one third of the total number in the country. Investigating the main influencing factors of the Yangtze River Economic Zone’s CO₂ emissions is of vital importance to develop effective environmental policies. The vector autoregression model was applied in the present paper...
The power industry is a major fossil fuel consumer in China, with large amounts of CO₂ emissions released from the production process of the power industry. To decrease CO₂ emissions, it is practical to start by analyzing its influencing factors in the power industry. This paper identified five influencing factors of CO₂ emissions through the extended STIRPAT model, including GDP, urbanization level,...
The Chinese power industry’s CO₂ emissions account for the largest proportion of the country’s total CO₂ emissions. Therefore, studying the influencing factors of CO₂ emissions in the power industry and developing mitigation policies are of great significance for reducing CO₂ emissions. According to the electricity-related data from 2000 to 2014 in China, this paper employed the improved STIRPAT model...
With the continuous improvement of the economy, more and more attention has been paid to environmental problems. Beijing is China’s economic, political, and cultural center, and its low-carbon development by external concerns. In this paper, the relationship between economic development and environmental pollution is analyzed by using the symbolic regression method, which is based on the data of per...
At present, research on relationships between carbon dioxide emissions and its influencing factors are concerned with linear causality relationships, and most literature has focused on the economic field to find its influencing factors. This article aims to investigate the causality relationships between carbon dioxide emissions and its influencing factors in China through the traditional Granger...
The main objective of this paper was seeking suitable scenarios for the Beijing-Tianjin-Hebei region, where both socio-economic development and low-carbon targets would be achieved. Potential driven factors of carbon emissions, including population, affl uence, urbanization level, technology level, industrial construction, and energy consumption construction were selected to build an extended stochastic...
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