Spatial-temporal evolution and influencing factors of provincial logistics resilience in China

Abstract

An suitable evaluation index system was developed from the three capacities of a logistics system: risk resistance, adaptation and recovery, and innovation and upgrading, based on the connotation of logistics resilience. From 2010 to 2020, this article employed the CRITIC-entropy weight approach and the TOPSIS model to assess the logistics resilience of 29 Chinese provinces. Provincial logistics resilience has a spatial link, according to the analysis of the results' temporal and spatial characteristics. As a result, a spatial error model was developed to investigate the major influencing aspects of logistics resilience. The findings suggest that provinces in China's logistical resilience is generally stronger in the southeast, lower in the north, and mixed in the middle. There is a considerable regional spillover impact and a tendency for high and low value aggregation of logistical resilience. The development of surrounding provinces can be accelerated by provinces with strong logistics resilience. The relevance of logistics resilience is beneficial to the logistics industry's high-quality development.