Research on the Economical Influence of the Difference of Regional Logistics Developing Level in China

Abstract

Based on the model of Cobb–Douglas (CD) production function, this paper establishes a panel data regression model, and divides all provinces of China except Hong Kong Special Administrative Region, Macao Special Administrative Region and Taiwan Province into four groups according to their levels of logistics development. With the panel data of these four groups for 20 years (1997–2016), the paper analyzes the relationship between the logistics development and the economic growth in various regions in China. In this model, this paper selects the logistics capacity, the logistics investment and the logistics manpower as the three input indicators which represent the logistics development of different regions, and selects the regional GDP as the output indicator which represents economic growth. After empirical analysis, this paper finds that there is a positive correlation between logistics and economic growth, and the impact of each indicator on the regional economic growth is different. There are three conclusions in this paper. Firstly, logistics capacity has the greatest economical promotion effect on areas with advanced logistics. The second is that logistics investment has the greatest economical promotion effect on the developed and general areas of logistics development. And the third is that the economical promotion of the logistics investment and the logistics capacity is more obvious in the underdeveloped areas of logistics.