2019•DEStech Transactions on Computer Science and EngineeringOpen access

Research on Logistics Efficiency and Influencing Factors of Anhui Province

Yanhui Han

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Abstract

This paper established an index system for evaluation of logistics efficiency, including four input indicators, the number of employees in the logistics industry, the mileage of graded roads, investment in fixed assets in the logistics industry and education expenditure, as well as two output indicators, the freight turnover volume and the added value of the logistics industry. Then using the DEA models to evaluate the logistics efficiency of Anhui province. The results show that the overall logistics efficiency of Anhui Province is relatively high and stable. Then choose five factors: economic development level, utilization rate of logistics infrastructure, logistics demand, informationization level, and opening-up level. Applying the Tobit method to do regression analysis. The results show that the level of economic development has a positive effect on logistics efficiency. Logistics efficiency has a significant positive correlation with the utilization rate of logistics infrastructure and the level of informationization. Logistics efficiency has a significant negative correlation with logistics demand. But the level of opening-up has no significant impact on logistics efficiency.

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This paper established an index system for evaluation of logistics efficiency, including four input indicators, the number of employees in the logistics industry, the mileage of graded roads, investment in fixed assets in the logistics industry and education expenditure, as well as two output indicators, the freight turnover volume and the added value of the logistics industry. Then using the DEA models to evaluate the logistics efficiency of Anhui province. The results show that the overall logistics efficiency of Anhui Province is relatively high and stable. Then choose five factors: economic development level, utilization rate of logistics infrastructure, logistics demand, informationization level, and opening-up level. Applying the Tobit method to do regression analysis. The results show that the level of economic development has a positive effect on logistics efficiency. Logistics efficiency has a significant positive correlation with the utilization rate of logistics infrastructure and the level of informationization. Logistics efficiency has a significant negative correlation with logistics demand. But the level of opening-up has no significant impact on logistics efficiency.

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Available abstract

This paper established an index system for evaluation of logistics efficiency, including four input indicators, the number of employees in the logistics industry, the mileage of graded roads, investment in fixed assets in the logistics industry and education expenditure, as well as two output indicators, the freight turnover volume and the added value of the logistics industry. Then using the DEA models to evaluate the logistics efficiency of Anhui province. The results show that the overall logistics efficiency of Anhui Province is relatively high and stable. Then choose five factors: economic development level, utilization rate of logistics infrastructure, logistics demand, informationization level, and opening-up level. Applying the Tobit method to do regression analysis. The results show that the level of economic development has a positive effect on logistics efficiency. Logistics efficiency has a significant positive correlation with the utilization rate of logistics infrastructure and the level of informationization. Logistics efficiency has a significant negative correlation with logistics demand. But the level of opening-up has no significant impact on logistics efficiency.

Key concepts: Tobit model, Business, Investment (military), Index (typography), Industrial organization, Fixed asset, Environmental economics, Operations management

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