摘要
交通运输业能耗强度与各行业平均水平的差距逐步扩大,使得交通运输业逐步成为节能环保的短板之一.在此背景下,利用随机前沿模型,以中国30省区为样本,测算1995—2012年各地区交通运输业全要素能源效率并进行影响因素分析.结果表明,全要素视角下的中国交通运输业能源效率总体呈扁平W型走势波动上升,平均有56.3%的节能潜力;东中西部地区差异明显,呈现自东向西逐步下降的空间格局;全要素评价结果比单要素能源效率更加稳健;各省区交通运输业能源效率在2004—2012年以年均9.6%的速度发散,其中西部地区年均发散速率达到10.7%;对外开放、工业化进程、人力资本显著促进交通运输业能源效率的提升,制度因素与政府干预抑制作用明显,基础设施水平的影响不显著.
It has gradually expanded that the gap of energy intensity between Chinese transportation and the average, so that energy saving and environmental protection in transportation industry become one of the short boards. Based on the panel data of Chinese 30 regions from 1995 to 2012, we use the stochastic frontier production function to analyze energy efficiency and the affecting factors of transportation industry. The result proves that, the energy efficiency of Chinese transportation industry is in an overall upward trend with fiat W type, and has an average of 56.3% of the energy saving potential. There are significant differences between eastern, central and western region, it shows the spatial pattern of gradual decline from east to west. The results of total factor energy efficiency are more conservative than energy intensity＇ s; provinces transportation energy efficiency from 2004 to 2012 at an average annual rate of 9.6% divergence; western region diverge most significantly, the average annual rate of 10.7% divergence; economic opening, industrialization process and human resources significantly enhance the energy efficiency of transportation industry, while institutional factors and government intervention is significantly inhibited, and the level of infrastructure are not significant.
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2016年第1期19-25,共7页
Journal of Transportation Systems Engineering and Information Technology
关键词
综合交通运输
能源效率
随机前沿模型
交通运输业
收敛分析
影响因素
integrated transportation
energy efficiency
stochastic frontier function model
transportation industry
convergence analysis
influence factors
作者简介
宋震（1988-），男，山东兖州人，博士生．
通信作者：cong_lin2000@163．com
