%0 Journal Article
%T Evaluation of Urban Low-carbon Competitiveness in China Using Grey Relational Analysis<br>基于灰理想关联分析的中国城市低碳竞争力评价
%A CHEN Jing
%A CHENG Dongxiang
%A ZHU Dajian
%A <br>陈静
%A 程东祥
%A 诸大建
%J 资源科学
%D 2012
%I 
%X Low-carbon development has become an important topic in the 21st century due to global climate change. Low-carbon development aims to reduce carbon emissions during economic development. As a developing country with a population of 1.3 billion, China must improve its urban low-carbon competitiveness in order to decouple development and increasing carbon emissions. It is necessary to develop a model for the evaluation of low-carbon competitiveness across urban China. The evaluation indicator system, which includes low-carbon environment, economy and social development, was developed here based on the principles of orientation, data availability, comparability and dynamicity. Grey Relational Analysis (GRA) is also introduced to establish the evaluation model for low-carbon competitiveness for four major cities: Beijing, Shanghai, Tianjing and Chongqing. The results show that Beijing ranks first in terms of low-carbon competitiveness; Shanghai second, followed by Tianjing and Chongqing. Results indicate that urban low-carbon competitiveness can be improved by developing low-carbon industry, lowcarbon urbanization and low-carbon modernization. Analysis of these four cities shows that the lower the correlation degree is, the greater the low-carbon competitiveness a city will have. This relationship indicates that the coordinated development of the economy, energy utilization and ecological environments is preferred for achieving comprehensive benefits for cities. This work will form an important theoretic basis for the development of low-carbon cities across China.
%K Urban Low-carbon competitiveness
%K Evaluation model
%K TOPSIS
%K Grey theory<br>城市低碳竞争力
%K 评价模型
%K 理想解法
%K 灰色理论
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=B47B31F6349F979B&jid=9DEEAF23637E6E9539AD99BE6ABAB2B3&aid=F08440544A663446C965F5EF4EF964E8&yid=99E9153A83D4CB11&vid=339D79302DF62549&iid=9CF7A0430CBB2DFD&sid=C61B615AE87CE464&eid=FE8339558AD0500C&journal_id=1007-7588&journal_name=资源科学&referenced_num=0&reference_num=17