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基于多指标信息融合的城市低碳发展水平测度研究

Research on the measurement of urban low-carbon development level based on multi-index information fusion

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在已有研究基础上,从碳排放水平、经济发展、能源消耗、交通出行、科学教育、资源环境、工业发展 7 个准则层以及 30 个指标层设计城市低碳发展水平评价指标体系;并融合两阶段因子分析法、聚类分析以及基尼系数等方法,构建融合多指标信息的城市低碳发展水平评价体系,综合评价了中国各地级及以上城市的低碳经济发展水平.结果表明:1)我国城市低碳发展仍存在区域不平衡的问题,城市低碳经济发展水平主要受经济高质量发展、城市行政等级、产业转型等因素影响.2)我国城市低碳发展力度受相关政策影响,科学可行的政策对于城市低碳发展水平具有强大导向作用以及推力,促使其朝积极健康的方向动态变化.
Based on the existing researches,this study measures and investigates the cities at local level and above from seven standard levels and thirty index levels of carbon emission level,economic development,energy consumption,transportation,science and education,resources and environment and industrial development in the span of five years.Based on two-stage factor analysis,cluster analysis and Gini coefficient,a new urban low-carbon development level measurement system is constructed to comprehensively evaluate the low-carbon economic development level of cities in China at local level and above.The results show that:1)There still exists regional imbalance in China's low-carbon high-quality development,and the level of urban low-carbon economic development is affected by factors such as high-quality economic development,urban administrative level,and industrial transformation.2)China's urban low-carbon development is affected by relevant policies,and scientifically feasible relevant policies have a strong guiding role and thrust for the level of urban low-carbon development,promoting them to change dynamically in a positive and healthy direction.

Urban low-carbon developmenttwo-stage factor analysiscluster analysisGini coefficient

姚艺千、齐新、刘奇韵

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河海大学 商学院,江苏 常州 213200

城市低碳发展 两阶段因子分析 聚类分析 基尼系数

2023

环境生态学

环境生态学

CSTPCD
ISSN:
年,卷(期):2023.5(12)
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