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

doi:10.14088/j.cnki.issn0439-8114.2021.02.035

Abstract

Abstract: 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 using DEA model and Malmquist index. The results showed that,①static point of view, during the observation period, the overall of agricultural product logistics comprehensive efficiency in China was low, and the trend was “W” shape in time, and the spatial distribution 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 increase; 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 efficiency of China's agricultural products logistics.

Key words: agricultural products, logistics efficiency, DEA model, Malmquist index

CLC Number:

F252.8

LI Jin-hong, LI Jing-jing, LYU Wei. Research on evaluation of agricultural product logistics efficiency in China based on DEA-Malmquist model[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(2): 167-172.

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