中国能源效率的时空格局演变及影响因素分析
丁誉
（辽宁师范大学地理科学学院，辽宁 大连 116033）
摘要： 采用非期望产出的SBM模型对中国1997—2017年能源效率值进行测度，运用ARCGIS 空间分析方法对中国能
源效率的时空格局演变特征进行分析，基于地理探测器模型对能源效率的影响因素进行探讨。结果表明：中国能源效率
整体处于中上等水平，东部片区呈“急剧-递增型”、西部片区呈“平稳-提高型”、东北部片区呈“突变-延长型”、中部
片区呈“波动-递增型”的演变规律；高效区主要布局在东部沿海地区，较高效区和中效区主要布局在中部和东北部地
区，低效区在中西部地区最为常见；中国能源效率的空间集聚特征明显，且其空间关联性先增强后有所减弱。
关键词：能源效率；非期望产出SBM模型；时空格局演变；影响因素
中图分类号：F206     文献标识码：A     文章编号：2095-0802-(2021)12-0026-04
Analysis on Spatiotemporal Pattern Evolution and Influencing Factors of Energy Efficiency of China
DING Yu
(School of Geographic Sciences, Liaoning Normal University, Dalian 116033, Liaoning, China)
Abstract: This paper used the SBM model of unexpected output to measure the energy efficiency value of China from 1997 to
2017, used the ARCGIS spatial analysis method to analyze the evolution characteristics of the spatiotemporal pattern of the energy
efficiency of China, and discussed the influencing factors of energy efficiency based on the geographic detector model. The results
show that the energy efficiency of China is generally at a medium-to-high level, in which the eastern area shows a "rapid-increasing
type", the western area shows a "steady-increasing type", the northeast area shows a "mutation-extended type", and the central
area shows a "fluctuation-increasing type"; the efficient areas are mainly located in the eastern coastal areas, the comparatively-
efficient and medium-efficiency areas are mainly located in the central and northeastern regions, and the low-efficiency
areas are most common in the central and western regions; the spatial agglomeration characteristic of the energy efficiency of
China is obvious, and its spatial correlation first strengthens and then weakens.
Key words: energy efficiency; SBM model of unexpected output; spatiotemporal pattern evolution; influencing factor