基于LMDI模型的温室气体影响因素分析—以中国,日本,韩国为例
Analysis of Influencing Factors of Greenhouse Gases Based on LMDI Model—China, South Korea, Japan
关键词: 温室气体; LMDI模型; 中韩日; Greenhouse Gas; LMDI Model; China; South Korea; Japan
摘要:Abstract: Global warming has long been an indisputable fact, but the current emission reduction measures and related policies are lack of specificity and direction. Scientific and effective control of CO2 (carbon dioxide) emissions to understand its mechanism is particularly important. At present, more and more research, but there are deficiencies. This article has improved from all aspects, and has overcome many shortcomings of the existing literature. Based on the LMDI (Logarithmic Mean Divisia Index) model, this paper chooses the authoritative data as reference, and makes a comparative analysis of the factors affecting each stage. I tries to find out the reasons behind the changes of CO2 emission factors in China, Japan and Korea from different perspectives, and hopes to study the impact factors of CO2 emission from Japan and Korea to draw lessons from energy saving and emission reduction at present.
文章引用: 黄雨婷 , 林冰婕 (2017) 基于LMDI模型的温室气体影响因素分析—以中国,日本,韩国为例。 气候变化研究快报, 6, 105-115. doi: 10.12677/CCRL.2017.62014
参考文献
[1] 郭朝先, 等. 中国碳排放因素分解: 基于LMDI分解技术[J]. 中国人口资源与环境, 2010(12): 5-6.
[2] Paula, S. and Bhattacharya, R.N. (2004) CO2 Emission from Energy Use in India: A Decomposition Analysis. Energy Policy, 32, 585-593.
[3]
IPCC (2006) IPCC Guidelines for National Greenhouse Gas Inventories.
http://www.ipcc-nggip.iges.or.jp/public/2006gl/in-dex.html
[4] 宋德勇, 卢忠宝. 中国碳排放影响因素分解及其周期性波动研究[J]. 中国人口资源与环境, 2009(2): 9-11.
[5] 佟金萍, 马剑锋, 仇蕾. 中国能源强度变动的分解与影响因素[J]. 系统工程, 2009, 27(10): 25-31.
[6] 万启富. 基于LMDI模型的日本二氧化碳排放影响因素分析[N]. 吉林大学环境与资源学院, 2011年6月.
[7] 赵涛, 崔日浩. 韩国碳排放足迹的动态变化及因素分解[N]. 天津大学管理与经济学部.
[8] 牛犇. 能源发展与山东省可持续发展研究[N]. 山东师范大学, 2016年6月10日.