闫庆友, 魏琪峰. 中国能源高质量发展水平的测度及空间非均衡分析[J]. 华北电力大学学报(社会科学版), 2022, 3(4): 16-25. DOI: 10.14092/j.cnki.cn11-3956/c.2022.04.003
引用本文: 闫庆友, 魏琪峰. 中国能源高质量发展水平的测度及空间非均衡分析[J]. 华北电力大学学报(社会科学版), 2022, 3(4): 16-25. DOI: 10.14092/j.cnki.cn11-3956/c.2022.04.003
YAN Qing-you, WEI Qi-feng. Measurement on China’s High-quality Energy Development Level and Spatial Disequilibrium Analysis[J]. JOURNAL OF NORTH CHINA ELECTRIC POWER UNIVERSITY(SOCIAL SCIENCES), 2022, 3(4): 16-25. DOI: 10.14092/j.cnki.cn11-3956/c.2022.04.003
Citation: YAN Qing-you, WEI Qi-feng. Measurement on China’s High-quality Energy Development Level and Spatial Disequilibrium Analysis[J]. JOURNAL OF NORTH CHINA ELECTRIC POWER UNIVERSITY(SOCIAL SCIENCES), 2022, 3(4): 16-25. DOI: 10.14092/j.cnki.cn11-3956/c.2022.04.003

中国能源高质量发展水平的测度及空间非均衡分析

Measurement on China’s High-quality Energy Development Level and Spatial Disequilibrium Analysis

  • 摘要: 厘清我国能源高质量发展水平和地区差距的空间演变态势是推进能源革命的关键环节。以构建清洁低碳、安全高效的现代能源体系为导向,建立能源高质量发展水平综合评价指标体系;将我国29个省份(不包括港澳台、西藏、海南)划为东北、东部、中部、西部四个区域,运用投影寻踪评价模型对2010—2017年各省份的能源高质量发展水平进行测度,分析能源高质量发展水平的时序演变;运用Dagum基尼系数及其分解方法,对能源高质量发展水平的区域差距进行分解分析;借助系统聚类分析方法对各省份能源高质量发展水平进行空间分类。研究结果表明:第一,我国能源高质量发展水平整体小幅波动稳定增长;第二,区域能源高质量发展水平存在空间自相关性,高值地区与低值地区空间集聚效应显著;第三,区域间发展水平差距呈波动增加态势,东部地区和其他区域间差距是当前能源高质量发展水平空间非均衡的主要来源;第四,29个省份的能源高质量发展水平被分为五类,其中江苏为唯一超高发展水平省份。

     

    Abstract: Clarifying the spatial evolution of China's high-quality energy development level and regional disparities is the key link to promote the energy revolution. Guided by building a clean, low-carbon, safe and efficient modern energy system, a comprehensive evaluation index system should be established for the high-quality development level of energy. China’s 29 provinces (excluding Hong Kong, Macao, Taiwan, Tibet and Hainan) are divided into four regions: northeast, east, central and west. The projection pursuit evaluation model is used to measure the high-quality energy development level of each province from 2010 to 2017, and the time series evolution of the high-quality energy development level is analyzed. By using Dagum Gini coefficient and its decomposition method, the regional disparity of high-quality energy development level is decomposed and analyzed. With the help of system cluster analysis, the high-quality development level of energy in each province is classified spatially. The results show that: firstly, the overall level of high-quality energy development in China fluctuates slightly and grows steadily; secondly, the high-quality development level of regional energy has spatial autocorrelation, and the spatial agglomeration effect between high-value areas and low-value areas is significant; thirdly, the regional development level gap is fluctuating and increasing, and the gap between the eastern region and other regions is the main source of the spatial imbalance of the current high-quality energy development level; fourthly, the high-quality energy development level of 29 provinces is divided into five categories, among which Jiangsu is the only province with super high development level.

     

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