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中国城市低碳发展绩效指数测算 被引量:10

Measurement on China’s Urban Low-carbon Development Performance Index
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摘要 文章以我国120个城市为研究对象,构建了城市低碳发展评价指标体系,运用熵值-最优主客观权重-改进的TOPSIS模型对2008—2017年各城市的低碳发展绩效指数进行了计算,并依据排名将其划分为低碳发展城市、相对低碳发展城市、相对高碳发展城市、高碳发展城市。结果表明:宏观、能源、产业、环境、土地系统为城市低碳发展的驱动因素,生活系统为低碳发展城市未来应加强的领域;我国城市低碳发展具有空间正相关性,低碳发展城市聚集分布于东部沿海城市群,高碳发展城市多聚集分布于中原、呼包鄂榆城市群,且西部地区城市的低碳发展潜力高于中部地区。 This paper takes 120 cities in China as the research object to construct an evaluation index system of urban lowcarbon development, and then uses entropy-optimal subjective and objective weights-improved TOPSIS model to calculate the low-carbon development performance index of each city from 2008 to 2017. Finally, the paper divides cities into low-carbon development cities, relatively low-carbon development cities, relatively high-carbon development cities and high-carbon development cities according to the ranking. The results are shown as follows: Macro, energy, industry, environment, and land systems are the driving factors of urban low-carbon development, and living system is the field to be strengthened in the future in low-carbon development cities;China’s urban low-carbon development has a positive spatial correlation, with low-carbon development cities clustered in the eastern coastal urban agglomeration, high-carbon development cities mainly concentrated in the central plains and the urban agglomeration of Hohhot, Baotou, Ordos and Yulin, and higher low-carbon development potential of cities in western China than in central China.
作者 孙奇 吴巧生 李思瑶 李小军 Sun Qi;Wu Qiaosheng;Li Siyao;Li Xiaojun(Hubei Institute of Macroeconomics,Wuhan 430064,China;Research Center of Resource and Environmental Economics,China University of Geosciences(Wuhan),Wuhan 430074,China)
出处 《统计与决策》 CSSCI 北大核心 2021年第17期75-79,共5页 Statistics & Decision
关键词 熵值-最优主客观权重-改进的TOPSIS模型 低碳发展绩效指数 entropy-optimal subjective and objective weights-improved TOPSIS model low-carbon development performance index
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