文献类型：期刊文献

英文题名：Using LMDI method to analyze the influencing factors of carbon emissions in China's petrochemical industries

作者：Fan, Tijun[1];Luo, Ruiling[1,2];Xia, Haiyang[1];Li, Xiaopeng[1]

机构：[1]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Shihezi Univ, Sch Informat Sci & Technol, Shihezi 832000, Xinjiang, Peoples R China

年份：2015

卷号：75

起止页码：S319

外文期刊名：NATURAL HAZARDS

收录：;WOS:【SSCI(收录号:WOS:000348921900014)，SCI-EXPANDED(收录号:WOS:000348921900014)】；

基金：This work is supported by the Program for New Century Excellent Talents in University (NCET-11-0637); National Natural Science Foundation of China (71171082, 71202052).

语种：英文

外文关键词：Petrochemical industries; LMDI; Carbon emission; Industrial structural effect; Economic output effect

摘要：China's petrochemical industries are playing an important role in China's economic development. However, the industries consume large amounts of energy and have become primary sources of carbon emission. In this paper, the change in carbon emissions from China's petrochemical industries between 2000 and 2010 was quantitatively analyzed with the Log-Mean Divisia Index method, which was decomposed into economic output effect, industrial structural effect and technical effect. The results show that economic output effect is the most important factor driving carbon emission growth in China's petrochemical industries; industrial structural effect has certain decrement effect on carbon emissions; adjustment of industrial structure by developing low-carbon emission industrial sectors may be a better choice for reducing carbon emissions; and the impact of technical effect varies considerably without showing any clear decrement effect trend over the period of year 2000-2010. The biggest challenge is how to make use of these factors to balance the relationship between economic development and carbon emissions. This study will promote a more comprehensive understanding of the inter-relationships of economic development, industrial structural shift, technical effect and carbon emissions in China's petrochemical industries and is helpful for exploration of relevant strategies to reduce carbon emissions.