期刊
ENERGY
卷 112, 期 -, 页码 788-794出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2016.06.136
关键词
Carbon dioxide emissions; Thermal electricity generation; Logarithmic Mean Divisia Index; China
资金
- China Scholarship Council
- Project of the Production-Study-Building for Joint Training of Graduated Students in Beijing
- Fundamental Research Funds for the Central Universities [2016XS77]
A major share of China's total carbon dioxide (CO2) emissions is from the electric power sector. In 2010, almost 40% of all CO2 emissions in China were from this sector. This is because the country predominantly depends on thermal electricity generation to meet its power requirement. This study analyses the CO2 emissions from thermal electricity generation in China between 2000 and 2012 at the regional grid level. Logarithmic Mean Divisia Index methodology is employed to identify the factors that influence changes in CO2 emissions over time. This study also predicts China's energy consumption and CO2 emissions patterns between 2013 and 2020, forecasting rates of increase in energy consumption across six regional grids from 0.9% to 9.7%. CO2 emissions related to thermal electricity generation increased from 981.33 million tons (Mt) in 2000 to 3342.79 Mt in 2012, which is an annual growth rate of 10.75%. These increases are not aligned with China's commitments on reducing emissions to the Asia-Pacific Economic Cooperation forum. China's CO2 emissions are forecasted to increase to 5596 Mt by 2020 if the current increasing trends is not effectively curbed after 2012. (C) 2016 Elsevier Ltd. All rights reserved.
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