The Mechanism and Empirical Study of Intelligent Logistics Technology Improving the Efficiency of Logistics Industry ——Taking the “Core Area” of the Silk Road Economic Belt as example

Abstract

Using the Grey-correlation model to measure the integration degree between the intelligent technology and the logistics industry, we find the developmental level of intelligent logistics technology in the "core area" of the Silk Road Economic Belt (the spatial range of the five Central Asian countries and the five provinces in northwest China) during 2007-2016 showed a "U" shape and it is higher in the five provinces in northwest China than the five Central Asian countries. Secondly, applying SFA to calculate the logistics efficiency in the"core area", we conclude that the overall annual average of logistics efficiency is between 0.47 and 0.72 and shows an ascending tendency from 2007 to 2016, which in accords with the World Bank LPI ranking to a large extent. Thirdly, following the three-stage maximum likelihood regression to calculate the influence of logistics information technology on logistics efficiency, we shows that the effect is positively significant at level 10%. According to the above research findings, this paper offers some corresponding suggestions, such as encouraging intelligent technological innovation and application, accelerating the construction of intelligent logistics parks, improving the level of opening and enhancing the learning effect.