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中国沿海地区能源效率时空演变研究 被引量:9

Study on the Spatial and Temporal Evolution of Energy Efficiency
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摘要 基于单要素能源效率和全要素能源效率对比研究能源效率的时空变异,对2006—2015年中国沿海地区11个省份能源效率进行测算,利用核密度估计模型分析中国沿海地区能源效率的动态演变,并利用GIS方法揭示能源效率的空间分布。研究结果表明:中国沿海地区单要素能源效率呈现逐年上升趋势,全要素能源效率水平整体上呈现"U"型分布;中国沿海地区单要素能源效率的空间分布具有集聚性,较高能源效率省份主要集中在浙江、上海、福建和广东,全要素能源效率空间分布整体上具有空间分散性和区域差异性的显著特征。对单要素能源效率和全要素能源效率对比研究结果显示:全要素能源效率水平低于单要素能源效率水平,说明非期望产出带来一定程度的能源效率损失。 Based on the double angle of single-factor of energy efficiency and total-factor of energy efficiency,contrastively compared the variation of energy efficiency from time and space perspective.By calculated the energy efficiency in 11 provinces of China s coastal areas in 2006-2015,analysed the energy efficiency dynamic evolution in China's coastal areas by using kernel density estimation model,and used the method of GIS to reveal the spatial distribution of the energy efficiency.Some conclusions can be drawn as follows:the single-factor energy efficiency in coastal areas of China is increasing year by year,the total-factor of energy efficiency level distribution generally presents the shape of"U".The spatial distribution of single-factor energy efficiency in China's coastal areas is significant,and the distribution of high energy efficiency provinces is concentrated,mainly in Zhejiang,Shanghai,Fujian and Guangdong.The spatial distribution of total-factor energy efficiency is characterized by spatial dispersion and spatial difference.Comparative study on single-factor of energy efficiency and total-factor energy efficiency,the result shows that the total-factor of energy efficiency is lower than single-factor of energy efficiency,which indicates that the non-expected output brings a certain amount of energy efficiency loss.
作者 关伟 吴亭亭 许淑婷 GUAN Wei;WU Ting-ting;XU Shu-ting(Research Centre for Marine Economy and Sustrainable Development,Liaoning Normal University,Dalian 116029,China;College of City and Eviroment,Liaoning Normal University,Dalian 116029,China)
出处 《哈尔滨商业大学学报(社会科学版)》 CSSCI 2018年第2期49-56,共8页 Journal of Harbin University of Commerce:Social Science Edition
基金 国家自然科学基金项目(41771132) 教育部人文社会科学重点研究基地重大项目(14JJD790044)
关键词 能源效率 SBM模型 核密度估计 GIS 中国沿海地区 energy efficiency SBM model kernel density estimation GIS China s coastal areas
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