摘要
利用规模报酬可变假设的DEA-BCC模型测算2003—2014年我国30个省份的物流业能源效率,基于我国2003—2014年30个省份的面板数据模型,通过DEA-Tobit两阶段回归计算,从全国总体和东、中、西部分地区两个层面实证分析我国物流业能源效率的影响因素。研究表明,我国物流业能源效率较低,地区差异明显;全国和三大地区的物流业能源效率都呈现出先下降后上升的"U型"变化趋势;地区经济发展水平和国际贸易能够显著提升我国物流业的能源效率;研发投入尚未能够显著提升物流业的能源效率;不合理的产业结构、较大的政府干预程度和过度的物流业投入水平都不利于促进物流业能源效率的提升。
This paper uses DEA-BCC analysis to calculate energy efficiency of logistics industry in 30 provinces across China from 2003 to 2014.Based on the panel data model of 30 provinces from 2003 to2014,influencing factors on the energy efficiency of China's logistics industry are empirically analyzed from two levels:the national level,and the level of the eastern,central and western regions by DEATobit two-stage regression calculation.This paper reveals the following findings:first,the energy efficiency of China's logistics industry is relatively low,and the regional difference is apparent;second,the energy efficiency of the logistics industry both at the national level and in the three regions are showing a U-shaped trend;third,regional economic development level and international trade can significantly improve the energy efficiency of China's logistics industry;fourth,R & D investment does not show a notable impact on the improvement of energy efficiency of the logistics industry;last,the disproportionate industrial structure,high degree of government intervention and excessive input in logistics industry are not conducive to the improvement of energy efficiency of logistics industry.
引文
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