首页 | 本学科首页   官方微博 | 高级检索  
     


Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis
Affiliation:1. School of Business & Soochow Think Tank, Soochow University, No. 50, Donghuan Road, Suzhou 215021, China;2. Department of Economics, Soochow University, No. 56, Sec. 1, Kuei-yang, Taipei 100, Taiwan;3. Institute of Service Management, National Penghu University of Science and Technology, No. 300, Liuhe Road, Magong City, Penghu County 880, Taiwan;1. College of Economics and Management & Research Center for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. Research Center for Smarter Supply Chain, Soochow University, Suzhou 215021, China;3. Energy Studies Institute, National University of Singapore, No. 29 Heng Mui Keng Terrace, 119620, Singapore;4. Department of Business Administration, National Taichung University of Science and Technology, No. 129, San-Min Rd., Taichung City 404, Taiwan, ROC
Abstract:Research on the driving factors behind carbon dioxide emission changes in China can inform better carbon emission reduction policies and help develop a low-carbon economy. As one of important methods, production-theoretical decomposition analysis (PDA) has been widely used to understand these driving factors. To avoid the infeasibility issue in solving the linear programming, this study proposed a modified PDA approach to decompose carbon dioxide emission changes into seven drivers. Using 2005–2010 data, the study found that economic development was the largest factor of increasing carbon dioxide emissions. The second factor was energy structure (reflecting potential carbon), and the third factor was low energy efficiency. Technological advances, energy intensity reductions, and carbon dioxide emission efficiency improvements were the negative driving factors reducing carbon dioxide emission growth rates. Carbon dioxide emissions and driving factors varied significantly across east, central and west China.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号