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

School of economics and management, Shanxi University, Taiyuan 030006, China
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Sustainability 2019, 11(5), 1356; https://doi.org/10.3390/su11051356
Received: 14 February 2019 / Revised: 26 February 2019 / Accepted: 28 February 2019 / Published: 5 March 2019
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
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. View Full-Text
Keywords: logistics industry; Moran’s index; spatial correlation logistics industry; Moran’s index; spatial correlation
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Tian, X.; Zhang, M. Research on Spatial Correlations and Influencing Factors of Logistics Industry Development Level. Sustainability 2019, 11, 1356.

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