【摘要】 文章从投入产出视角,运用DEA测度方法和线性回归法建立数理模型,对广东省物流业技术效率及其动态变化进行了研究,并进一步建立影响因素回归模型,分析经济水平、基础设施等因素对技术效率的影响。结果表明2013～2017年期间广东省物流产业综合技术效率值为0.51,处于较低水平,呈现先下降后上升趋势,纯技术效率低下是造成广东省物流技术效率低下的主要原因。当地的经济水平、基础设施、物流需求与物流业技术效率显著正相关,工业化进程与市场化程度对物流产业技术效率影响较小。更多还原

【Abstract】 From the perspective of input and output, this thesis applies the DEA measurement method and the linear regression method to establish a mathematical model. It studies the technical efficiency and dynamic changes of the logistics industry in Guangdong province, and builds a regression model of influencing factors, in order to analyze the impacts on the technical efficiency caused by the economic level, infrastructure, etc. The results show that the comprehensive technical efficiency value of Guangdong’s logistics industry during 2013～2017 was 0.51, which was at a quite low level, showing a first downward trend but then an upward tendency. The inefficiency of technology was the main reason for the low efficiency of Guangdong’s logistics technology. The local economic level, infrastructure and logistics demands are significantly positively related to the technological efficiency of the logistics industry, while the industrialization process and the degree of marketization have smaller influences.更多还原