基于模糊数学和灰色理论的城市生态环境竞争力评价梁伟.pdfVIP

2013,33(5) 945~951 China Environmental Science 1,2* 1 2 , , (1., 300072 2., 250022) ,, , 17 ,,,, (0.1894)(0.1705)(0.1676),(0.1191)(0.1232)(0.1274)(0.1285) (0.1289),. 4 ,,. X24 A 2013 Comprehensive evaluation of urban eco-environment competitiveness based on fuzzy mathematics and gray theory. 1,2* 1 2 LIANG Wei , ZHANG Hui-ying , ZHU Kong-lai (1.College of Management and Economics, Tianjin University, Tianjin 300072, China 2.School of Management, University of Jinan, Jinan 250022, China). China Environmental Science, 2013,33(5)945~951 Abstract On the basis of the comprehensive analysis of urban competitiveness at home and abroad, the concept of urban eco-environment competitiveness was defined and an evaluation index system to measure the urban eco-environment competitiveness was constructed. Grey system theory was used to calculate every indicator’s weight and analyze 17 cities of Shandong Province. Each of urban eco-environment competitiveness of these 17 cities was calculated using fuzzy comprehensive evaluation method. The result shows that the top three cities with eco-environment competitiveness were Linyi(0.1894), Rizhao(0.1705) and Yantai(0.1676), however, Dezhou(0.1191), Jinan(0.1232), Zaozhuang(0.1274), Binzhou(0.1285) and Zibo(0.1289) hade poor performances relatively and other cities were in the middle level. In-depth analysis was conducted from different angles, such as environmental resource competitiveness, waste discharge competitiveness, environmental governance competitiveness and energy consumption competitiveness. Finally, typical problems that emerge in the development of low-carbon economy were analyzed and targeted policy recommendations were given.