Research On The Development Characteristics And Driving Factors Of Logistics Industry In Three Northeast Provinces

The high level of logistics industry is of great significance in balancing the supply and demand of the market,optimizing and adjusting the regional industrial structure,accelerating regional economic development,improving the overall operating efficiency of the economy,and ensuring the country ' s macroeconomic security.Northeast China,as an important economic complex in China,has profoundly affected the "re-shaping" of the national industrial pattern.However,due to the differences in the economic development basis,industrial division of labor,policy inclinations,and resource conditions in all prefecture-level cities and regions in the three northeastern provinces,there is a gradient in spatial and temporal differences in the development of the logistics industry,which is correct and objective to the Northeast.The assessment of the spatial-temporal distribution pattern and driving factors of the development of logistics industry in 34 prefecture-level cities,Daxinganling area and Yanbian Korean Autonomous Prefecture in three provinces plays an important role in reducing the inharmoniousness of the logistics industry.First,from the time dimension,from the period of 2005 to 2016,the development level of the logistics industry in the three northeastern provinces is on a steadily rising trend,and the overall strength is greatly enhanced.From a microscopic point of view,the development trends of the logistics industries in the three northeastern provinces are different.Comparing the rankings of logistics development in the 12 years from 2005 to 2016,the development level of the logistics industry in 13 prefecture-level cities such as Jilin,Siping,Dandong and Qitaihe has The level of development of the logistics industry in the six prefecture-level cities of Hegang,Yichun,Shuangyashan,Heihe and Daxinganling has dropped significantly.Secondly,from the analysis of spatial dimensions,the Moran' I value rose from 0.05 in2005 to 0.33 in 2016,indicating that the overall spatial differences in the development of the logistics industry in the three northeast provinces have shown a narrowing trend,highlighting the characteristics of spatial agglomeration.From the spatial distribution pattern of local logistics industry,we can see that in the four years,the spatial distribution pattern of high-high(HH)types of areas is mainly distributed in Liaoning Province,including prefecture-level cities such as Dalian and Yingkou.The coastal location conditions in Liaoning Province provide favorable conditions for the development of the logistics industry;low-low(LL)type areas are mainly distributed in western Liaoning.Thirdly,from the analysis of dynamic dimensions,the growth rate of the logistics industry in the three northeastern provinces has weak positive spatial agglomeration characteristics,and the correlation has increased from 0.13 in 2005-2009 to 0.24 in 2012-2016.From the spatial pattern of spatial distribution of local logistics,it can be seen that the correlation of the growth rate is obviously lower than the spatial correlation of the development of logistics.Finally,from the analysis of the driving factors,the regions with large influence of infrastructure factors are distributed in the core areas of Harbin,Changchun,Shenyang and Dalian,and the regression coefficients of the infrastructure factors are relatively large.The area where the maximum value is 0.451 is the area where Harbin,Changchun,and Shenyang are the core areas,and the area where the minimum value is 0.305 is mainly distributed in Yanbian North Korea Autonomous Prefecture and Baicheng District.The maximum value of the geo-weighted regression coefficient of the internal driving force was 0.398 in Harbin,and the minimum value was 0.101 in the Yanbian Korean Autonomous Prefecture.The differences between the two were larger.The spatial distribution of the regression coefficient of the external drive can be seen that the Harbin and Yingkou values are relatively large and the maximum value is 0.367;the values of Daqing and Fushun are smaller and the minimum value is 0.02.