中文摘要：

利用2007年至2015年的省际面板数据,采用基于DEA的Malmquist指数模型,测度了中国物流业全要素生产率及其分解效率。实证分析表明,技术效率的提高是推进全要素生产率的主要动力,而技术进步对全要素生产率的促进作用有限。我国物流业没有充分发挥新技术、新设备带来的使用效率,导致投入资源的利用率较低。可以通过改变人才的供给结构、对物流企业进行流程再造来提高新技术、新设备的使用效率。然后基于三种理论假设,选取9个指标运用灰色关联方法对物流业全要素生产率的影响因素进行分析,发现7个指标与其关联度都较高。第一产业与第二产业的发展水平、居民生活水平提高以及物流业发展规模和财政投入等对物流业全要素生产率的提高都具有显著影响。

英文摘要：

The Malmquist index model based on DEA is used to measure the total factor productivity and its decomposition efficiency of Chinas logistics industry by using the provincial panel data from 2007 to 2015. The empirical analysis shows that the improvement of technical efficiency is the main driving force to promote the total factor productivity, and the technological progress has a limited effect on the total factor productivity. Chinas logistics in-dustry did not give full play to new technologies and new equipment, resulting in low utilization of investment resources. Logistics enterprises can change the supply structure of talent and carry out process reengineering to improve the efficiency of new technologies and new equipment. Based on the three theoretical assumptions, nine factors are used to analyze the influencing factors of the total factor productivity of the logistics industry by using the gray correlation method. It is found that seven indexes are related to the correlation degree. The development level of the primary industry and the secondary industry, the improvement of the living standard of the residents and the development scale and financial investment of the logistics industry have a significant impact on the improvement of the total factor productivity of the logistics industry.