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基于 LMDI 因素分解模型的中国区域人均碳排放影响因素分析。

Factors affecting regional per-capita carbon emissions in China based on an LMDI factor decomposition model.

机构信息

School of Management, China University of Mining and Technology, Xuzhou, Jiangsu, China.

School of Foreign Languages, Yantai University, Yantai, Shandong, China.

出版信息

PLoS One. 2013 Dec 6;8(12):e80888. doi: 10.1371/journal.pone.0080888. eCollection 2013.

Abstract

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.

摘要

中国被认为是世界主要的碳排放国。人均碳排放指标是衡量区域碳排放情况的重要指标。本研究采用 LMDI 因素分解模型-面板协整检验两步法,分析了影响人均碳排放的因素。主要结果如下。(1)1997 年,东部、中部和西部地区的人均碳排放排名分别为第一、第二和第三,而 2009 年的排名顺序变为东部、西部和中部。(2)根据 LMDI 分解结果,1997 年至 2009 年期间,推动中国三大经济区域人均碳排放增长的关键驱动因素是经济发展,而在考虑其对抑制人均碳排放增长的影响后,能源效率的作用大于能源结构。(3)基于分解结果,面板协整检验中影响人均碳排放的因素表明,中部地区在区域人均碳排放方面具有最佳的能源结构弹性。因此,中部地区的能源效率弹性排名第一,而西部地区的经济发展弹性排名第一。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3386/3865993/1adc915dd586/pone.0080888.g001.jpg

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