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Factors Affecting Regional Per-Capita Carbon Emissions in China Based on an LMDI Factor Decomposition Model

机译:基于LMDI因子分解模型的中国区域人均碳排放量影响因素

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摘要

China is considered to be the main carbon producer in the world. The per-capita carbon emissions indicator is an important measure of the regional carbon emissions situation. This study used the LMDI factor decomposition model–panel co-integration test two-step method to analyze the factors that affect per-capita carbon emissions. The main results are as follows. (1) During 1997, Eastern China, Central China, and Western China ranked first, second, and third in the per-capita carbon emissions, while in 2009 the pecking order changed to Eastern China, Western China, and Central China. (2) According to the LMDI decomposition results, the key driver boosting the per-capita carbon emissions in the three economic regions of China between 1997 and 2009 was economic development, and the energy efficiency was much greater than the energy structure after considering their effect on restraining increased per-capita carbon emissions. (3) Based on the decomposition, the factors that affected per-capita carbon emissions in the panel co-integration test showed that Central China had the best energy structure elasticity in its regional per-capita carbon emissions. Thus, Central China was ranked first for energy efficiency elasticity, while Western China was ranked first for economic development elasticity.
机译:中国被认为是世界上主要的碳生产国。人均碳排放指标是衡量区域碳排放状况的重要指标。本研究使用LMDI因子分解模型-面板协整检验两步法来分析影响人均碳排放的因素。主要结果如下。 (1)在1997年期间,华东,华中和西部在人均碳排放量上分别排名第一,第二和第三,而在2009年,啄食顺序更改为华东,华西和中部。 (2)根据LMDI分解结果,在1997年至2009年期间,中国三个经济区人均碳排放量增长的主要驱动力是经济发展,考虑到它们的影响后,能源效率远大于能源结构限制人均碳排放量的增加。 (3)基于分解,面板共整合测试中影响人均碳排放的因素表明,中部地区的人均碳排放具有最佳的能源结构弹性。因此,中部地区在能源效率弹性方面排名第一,而西部地区在经济发展弹性方面排名第一。

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