Research on Agricultural Logistics Efficiency Based on DEA and Tobit Regression Models

Abstract

As the link between production and consumption, urban and rural areas, industry and agriculture, agricultural logistics plays a vital role in optimizing the rural industrial structure and developing the rural economy. However, the efficiency of agricultural logistics has been less studied. This paper launched a study on the evaluation of agricultural logistics performance based on DEA model, constructed an input-output index system, collected and collated data on relevant indicators of agricultural logistics in 30 provinces and municipalities (excluding Tibet) in 2018 and 2019, and applied DEAP2.1 software to evaluate the efficiency, and the research results showed that 7 provinces and municipalities showed strong agricultural logistics efficiency in 2018, 5 provinces and municipalities have efficiencies between 0.8 and 1, and 18 provinces and municipalities have efficiencies below 0.8. In 2019, 7 provinces and municipalities showed strong agricultural logistics efficiency, 6 provinces and municipalities had efficiency between 0.8 and 1, and 17 provinces and municipalities had efficiency below 0.8. Based on this, a regression analysis study was conducted on the influencing factors affecting agricultural logistics efficiency through the Tobit model, and the study concluded that the level of rural goods turnover, the level of agricultural logistics operation, the level of education of the labor force is the main factor affecting the efficiency of agricultural logistics, while the regional living standard and the level of construction of transport facilities have shown a significant uncorrelated.