摘要
提高能源效率是实现经济高质量发展、环境污染治理和能源安全的重要抓手.文章以全要素能源效率表征能源效率,分析其动态分布特征、空间差异性及收敛性.首先选取超效率SBM模型对全要素能源效率进行测度,并在此基础上运用核密度估计分析其动态分布特征,以刻画空间绝对差异演变规律,然后进一步构建空间绝对β收敛和空间条件β收敛模型以探究全要素能源效率的空间收敛性.结果表明,全国全要素能源效率整体呈现缓慢下降趋势;空间分布呈现“沿海高、内陆低”的分异性特征;全国全要素能源效率的区域间差异存在扩张趋势;北部沿海、西南地区全要素能源效率区域内差异最大;全国及八大区域全要素能源效率均存在空间绝对β收敛和空间条件β收敛趋势.
Improving energy efficiency is an important starting point for achieving high-quality economic growth,environmental pollution control,and energy security.The article characterizes energy efficiency indicators with total factor energy efficiency,and analyzes its distribution dynamic characteristics,spatial differences and convergence.The article first selects the super-efficiency SBM model to measure the total factor energy efficiency,and then uses kernel density estimation to analyze its dynamic distri-bution characteristics to characterize the evolution of spatial absolute differences,and finally constructs spatial absoluteβconvergence and spatial Conditionalβconvergence model to explore the spatial convergence of total factor energy efficiency.The study finds that the total factor of energy efficiency as a whole shows a trend of slow decline;the spatial distribution presents the characteristics of“high in coastal regions”and“low in inland regions”;The regional difference of total factor energy efficiency has a certain expansion trend;the regional difference of total factor energy efficiency is the largest in the north coastal and southwest region;there are spatial absoluteβconvergence and spatial conditionβconvergence trends for total factor energy efficiency in the whole nation as well as the eight regions.
作者
张文彬
郝佳馨
ZHANG Wen-bin;HAO Jia-xin
出处
《中国地质大学学报(社会科学版)》
CSSCI
北大核心
2020年第5期76-90,共15页
Journal of China University of Geosciences(Social Sciences Edition)
基金
国家社科基金重点项目“基于创新驱动和环境约束的中国西部能源产业升级研究”(17AJY009)
陕西(高校)哲学社会科学重点基地项目“基于创新驱动的陕西能源企业高质量发展的财税支持政策研究”(20JZ054)
西安财经大学研究生创新基金重点项目“‘一带一路’倡议对沿线省份能源效率影响研究”(19YCZ13)。
关键词
全要素能源效率
超效率SBM
核密度估计
空间β收敛
total factor energy efficiency
super efficient SBM
kernel density estimation
spatialβconver-gence