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

Abstract

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.

Spatial Aspect In The Volume Of Marketable Food Products

“…Philbrick (2005) singled out wholesale as part of the idealized seven-fold nested areal hierarchy of economic functions. Tian and Zhang (2019) analyzed spatial correlations of the logistics industry. Di Berardino et al (2017) investigate the relationship between distributive trade (wholesale and retail trade) and productivity growth.…”

Spatial Patterns of Production-Distribution-Consumption Cycle: The Specifics of Developing Russia

“…The differences in production capabilities are manifested in both positive and negative interrelationship of territories (Capello 2009). These dependencies are under active consideration within methods of spatial statistics, which make it possible to evaluate the spatial autocorrelation of indicators characterizing production (Dai et al 2017), distribution (Hylton and Ross 2017;Tian and Zhang 2019), and consumption (Khushi et al 2020).…”

“…However, another aspect is studied not so much to the distance but the nature of the relationship between manufacturers, distributors, suppliers, customers, which reflects their ability to interact to jointly address issues (Lawson et al 2019) and form clusters (Hylton and Ross 2017). It is often vital to understanding whether distributors, suppliers, wholesalers positively or negatively affect the ability of manufacturers to sell manufactured goods and how well do they perform their functions (Tian and Zhang 2019).…”

The Effect of Local Government Debt on Regional Economic Growth in China: A Nonlinear Relationship Approach

“…Whether or not the spatial weight matrix can be correctly set will significantly affect the reliability of the spatial econometric model. In previous research, scholars [42][43][44][45][46][47] often used the spatial distance or the spatial neighbor relationship to construct the spatial weight matrix. However, in fact, economic linkages between regions also have a significant impact on the spatial effect.…”

“…This suggests that increasing cooperation and competition among local governments can strengthen the spatial relationship between regional economies. The failure to consider the spatial effect between regional economies certainly has a significant impact on the accuracy of empirical results [42][43][44][45][46][47][48][49][50][51][52].…”