基于灰色关联分析的二氧化碳排放因子研究  

Researches on Carbon Dioxide Emission Factors Based on Gray Relational Analysis

作　　者：陈建宏[1] 王文哲[1] 

机构地区：[1]中南大学资源与安全工程学院,长沙410083

出　　处：《世界科技研究与发展》2010年第4期480-481,484,共3页World Sci-Tech R&D

基　　金：国家自然科学基金项目(50774092);全国优秀博士学位论文专项基金资助项目(200449)

摘　　要：为实现节能减排目标,探求二氧化碳排放影响因子,在分析以往研究基础上,选取2000～2007年EIA和国家统计年鉴相关数据,采用灰色系统理论中的灰色关联分析模型计算各因子间的灰色关联度,比较得出:能源消费对二氧化碳排放影响最大,其次是GDP,然后是人口数量、固定资产投资和居民消费。据此提出,转变能源结构、适当控制人口增长、调节固定资产投资方向、引导居民消费方向等是我国经济发展中降低二氧化碳排放的有效途径。In order to economize on energy and explore factors that affect the carbon dioxide emission, National Statistical Yearbook and EIA data in 2000 - 2007 are selected to calculate the gray correlation degree of the factors with the gray relation analysis model, based on the previous researches. The results indicate that energy consumption is the most important impacted factor, followed by GDP, then the population, fixed asset investment and dweller consumption. There are effective ways to reduce carbon dioxide emission during the economy development, such as altering energy structure, properly controlling population growth, regulating the direction of fixed asset investment and guiding the consumer.

关 键 词：CO2排放 能源消费 经济增长 灰色关联分析 

分 类 号：F124.5[经济管理—世界经济] X22[环境科学与工程—环境科学]