针对中国省域工业生产的技术异质性问题,应用共同前沿SBM模型对中国工业能源环境效率进行测量,并分析了其时空演变特征和演变趋势.考虑能源环境效率的空间相关性,应用空间杜宾回归模型和分位数回归模型,就中国工业能源环境效率的空间溢出效应,以及影响中国工业能源环境效率因素的影响强度、影响分位等, 做了进一步的研究与探讨,建立了中国工业能源环境效率的驱动机制.

Aiming at the technical heterogeneity of industry in China, a Meta-frontier Slacks Based-Measure model is proposed to measure the efficiency of China's industrial energy and environment efficiency from 2006--2016. Kernel density estimation, global Moran's I, local Moran's I and Markov chain are employed to describe the evolution characteristics of the China's industrial energy and environment efficiency. It hints the China's industrial energy and environment efficiency converges to high and low polarities, and this situation will not change in the short term. Besides, quantile regression and spatial spillover effects are taken into consideration, and a dynamic and comprehensive driving mechanism is proposed to explain China's industrial energy and environmental efficiency. It turns out there is a spatial interplay of factors and industrial energy and environment efficiency among regions. It needs more diversified policies and advice for improving the industrial energy and environment efficiency of China, and spatial interplay among regions needs more attention.