Evaluation of Regional Logistics Industry Development Level Based on Grey Entropy

2016 ◽  
Author(s):  
Chaoling Li ◽  
Lin Lu
Keyword(s):  
Logistics Industry ◽  
Industry Development ◽  
Regional Logistics ◽  
Development Level

Research on the logistics development level and spatial differentiation in node city with gray target decision model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wuyong Qian ◽  
Lizhen Wang ◽  
Jue Wang ◽  
Qianqian Chen
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Panel Data ◽  
Clustering Analysis ◽  
Spatial Differentiation ◽  
Logistics Industry ◽  
Content Type ◽  
Regional Logistics ◽  
Development Level ◽  
Objective Evidence

PurposeThe purpose of this study is to master the development process and the construction effectiveness of backbone circulation network in an all-round way, formulate regional logistics development planning as well as promote the development of logistics industry by scientifically evaluating the logistics development of node cities with a view to analyzing their spatial differentiation features.Design/methodology/approachIn this paper, an integrated evaluation model is constructed by adopting factor analysis, gray target decision-making model based on cone volume and other methods so as to evaluate the logistics development of node cities. The dimensionality of three-dimensional panel data is reduced by factor analysis at first. Then, the gray target decision-making method based on cone volume is adopted to evaluate the development of node cities, whose evaluation results are carried out through the clustering analysis. The clustering analysis is used to determine the development level of node cities and to extract the spatial differentiation features of node cities.FindingsThe results show that the proposed model can comprehensively evaluate the logistics level of node cities and clarify the overall logistics development and spatial differentiation of node cities, which could provide objective evidence for formulating national policies as well as promoting the balanced and coordinated development of regional logistics in China.Originality/valueThe paper succeeds in overcoming the disadvantages of existing methods assessing the logistics development level, such as principal component analysis and factor analysis, which are not applicable to panel data.

scholarly journals Research on Spatial Correlations and Influencing Factors of Logistics Industry Development Level

2019 ◽  
Vol 11 (5) ◽  
pp. 1356 ◽  
Author(s):  
Xinbao Tian ◽  
Meirong Zhang
Keyword(s):  
Spatial Relationship ◽  
Moran’S I ◽  
Spatial Error ◽  
Moran's I ◽  
Spatial Agglomeration ◽  
Logistics Industry ◽  
Industry Development ◽  
Agglomeration Effect ◽  
Development Level ◽  
Relationship Of

The logistics industry plays a greater role in the sustainable development of regional economies. The development of the logistics industry between regions is not independent, and there is a spatial correlation due to the existence of spatial spillover effect or spatial expansion among regions. This paper uses the method of entropy weight to evaluate the development level of the logistics industry in 31 provinces in China. On this basis, Moran’s index (Moran’s I), Moran’s I scatter plot, and local indicators of spatial association (LISA) agglomeration plot are used to analyze the overall and local spatial agglomeration characteristics of the logistics industry. Four main factors affecting the spatial relationship of the logistics industry are analyzed by choosing the fixed effect of the spatial error model. We find that: (i) There is spatial agglomeration effect in the development level of the logistics industry from the overall perspective; (ii) regional differentiation of the spatial agglomeration effect of logistics industry development level is obvious from the local perspective; and (iii) the influence of human resource factors on the spatial relationship of logistics development level is declining.

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