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Study On Spatial And Temporal Evolution Of Logistics Competitiveness And Spillover Effects Of Provinces And Cities Along The New Western Land-sea Corridor

Posted on:2024-05-23Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LiFull Text:PDF
GTID:2569307133453584Subject:Engineering Management
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The new western land-sea corridor is a new bridge for the western region to participate in international trade cooperation,and also an important logistics transport corridor connecting the "Belt Road" and the "Maritime Silk Road".Thesis evaluates the competitiveness of the provinces and cities along the new western land-sea corridor,studies the spatial and temporal evolution characteristics and spatial spillover effects of their logistics competitiveness,and analyzes the development status of the competitiveness of the provinces and cities along the new western land-sea corridor and its impact on the economy,so as to provide reference for the relevant government departments to formulate policies.Based on the research on regional logistics industry by domestic and foreign scholars,this paper takes 13 provinces and cities along the new western land-sea corridor as the research objects.Firstly,Porter’s "Diamond Model" and entropy TOPSIS method are applied to establish the evaluation index system of logistics competitiveness of the new western land-sea corridor,and the corresponding measurement is carried out;then,taking logistics competitiveness as the basic research index,the non-parametric kernel density estimation,exploratory spatial data analysis method,hot spot analysis,and standard deviation ellipse are used to explore the time-series evolution characteristics,spatial correlation,cold hot spot pattern,and the trajectory characteristics of the center of gravity migration of logistics competitiveness of the new western land-sea corridor;finally,the spatial econometric model is applied to test the spatial effect of logistics competitiveness,and the test concludes that the Durbin model should be used,and the direct effect and spillover effect of the influencing factors of logistics competitiveness are analyzed by applying the Durbin model.Thesis draws the following conclusions:(1)Logistics competitiveness.The logistics competitiveness of the provinces and cities in the new western land-sea corridor from 2011 to 2020 varies greatly.Among them,Sichuan province has the highest level of logistics competitiveness,and its average level is obviously ahead of other provinces in the corridor,while Tibet region shows the lowest level of logistics competitiveness,and its level is much lower than the average level of the corridor.(2)Spatial and temporal evolution of logistics competitiveness.In terms of time,the overall logistics competitiveness of the new western land-sea corridor from 2011 to 2020 shows the characteristics of rising,and the inter-provincial gap is narrowing.Spatially,the overall spatial distribution pattern of logistics competitiveness of the new western land-sea corridor from 2011 to 2020 is "high in the east and low in the west",with significant spatial clustering characteristics,and the pattern of spatial changes of cold hotspots shows a trend of gradual weakening from east to west;at the same time,the spatial coverage of the ellipse of standard deviation of logistics competitiveness of the corridor is gradually At the same time,the spatial coverage of the ellipse of standard deviation of channel logistics competitiveness gradually shrinks,and the center of gravity generally moves northeast-southwest.(3)Logistics competitiveness spillover effect.There are significant positive spatial spillover effects on logistics competitiveness of the new western land-sea corridor,among which,industrial structure,technology spillover,human capital and urbanization level have positive spatial spillover effects on logistics competitiveness of neighboring provinces,while government intervention has negative spatial spillover effects on neighboring provinces.
Keywords/Search Tags:The new western land-sea corridor, Regional Logistics Compe-titiveness, Spatial and Temporal Pattern Characteristics, Spillover Effect, Spatial Econometric Model
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