基于DEA-Malmquist模型的中国农产品物流效率评价研究

Research on evaluation of agricultural product logistics efficiency in China based on DEA-Malmquist model

以2012—2018年全国30个省(市、自治区)的面板数据为样本,综合运用DEA模型和Malmquist指数,分析中国农产品物流综合效率和全要素生产率在时间和空间上的变化规律。结果表明,①静态角度,在观测期内,中国农产品物流综合效率整体偏低,时间上呈“W”字形走势,空间上呈显著的东高、中次、西低的阶梯状空间分布格局;②动态角度,从全国整体层面看,农产品物流全要素生产率总体呈上升趋势,技术进步是促进其增长的首要因素;从区域层面看,全要素生产率增长速度呈中快、西次、东慢的格局;③纯技术效率较低且增速缓慢是制约中国农产品物流业整体发展的关键因素。最后,结合研究结果,为改善中国农产品物流效率提出合理性建议。

Based on the panel data of 30 provinces(cities and autonomous regions)in China from 2012 to 2018,this study analyzed the temporal and spatial changes of China's agricultural product logistics comprehensive efficiency and total factor productivity by us⁃ing DEA model and Malmquist index.The results showed that,①static point of view,during the observation period,the overall of agri⁃cultural product logistics comprehensive efficiency in China was low,and the trend was“W”shape in time,and the spatial distribu⁃tion pattern of high in the east,second in the middle and low in the west in space;②dynamic perspective,from the overall level of the whole country,the total factor productivity of agricultural product logistics was on the rise,and technological progress promoted its in⁃crease;from the regional level,the growth rate of total factor productivity showed a pattern of medium fast,west second and east slow;③the low of pure technical efficiency and slow growth were the key factors restricting the overall development of China's agricultural products logistics industry.Finally,combined with the research results,reasonable suggestions were put forward to improve the effi⁃ciency of China's agricultural products logistics.