基于熵权TOPSIS法的居民生活消费碳排放特征分析

Analysis of Carbon Emission Characteristics of Residential Consumption Based on Entropy Weight TOPSIS

从生活消费视角研究中国居民生活消费碳排放水平的特征,对低碳减排和生态文明建设具有重要的意义.选取食品烟酒、衣着、居住、生活用品、交通通信、教育文娱、医疗保健以及生活服务8个生活消费领域作为评价因子.首先,建立碳排放计量模型——消费者生活方式法(CLA),将不同领域的生活消费产生的二氧化碳量化;其次,采用熵权法将各项评价指标进行赋权;最后,结合TOPSIS法,对中国31个省(市)的碳排放水平进行评价.结果显示,居住类、生活服务类和食品烟酒类对居民人均年生活消费的碳排放水平影响较大;从整体排名来看,人均GDP(国内生产总值)水平越高的省(市),居民人均年生活消费的碳排放水平相对越高.最后基于研究结果提出相应的政策建议.

Studying the characteristics of Chinese residential consumption carbon emission level from the perspective of household consumption has a great significance for the reduction of carbon emission and construction of ecological civilization.Eight areas of household consumption,such as food,tobacco and alcohol,clothing,housing,articles for daily use,transport and telecommunication,education and recreation,medical care and life services,were selected as evaluation factors.Firstly,a measurement model of carbon emission,which was Consumer Lifestyle Approach(CLA),was built to quantify the carbon dioxide produced by household consumption in different areas.Secondly,the entropy weight method was used to give weight to each evaluation index.Then,the TOPSIS method was adopted to evaluate the level of carbon emission in 31 provinces(cities)in China.The results indicate that housing,life services,food,alcohol and tobacco have greater impact on the level of per capita carbon emission generated by household consumption annually.Based on the overall ranking,the higher the level of per capita GDP(Gross Domestic Product)that a region has,the higher the level of per capita carbon emission that is generated by household consumption annually.Finally,corresponding policy recommendations are made based on the findings.