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Coupling Coordination Degree of Digital Logistics and Regional Economic Resilience: Based on the Data of 11 Provinces in the Yangtze
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Xiangli XU
Science Technology and Industry | 2025, 25(1) : 181 - 189
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Science Technology and Industry | 2025, 25(1): 181-189
Regional Practice
Coupling Coordination Degree of Digital Logistics and Regional Economic Resilience: Based on the Data of 11 Provinces in the Yangtze
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Xiangli XU
Affiliations
  • School of Management, Bohai University, Jinzhou 121000, Liaoning, China
Published: 2025-01-10
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Based on the data of the 11 provinces in the Yangtze River Economic Belt from 2014 to 2022, the development levels of digital logistics and economic resilience were measured. The relationship between the two was analyzed using coupling coordination degree, spatial autocorrelation, and grey relational degree. The research shows that the comprehensive development index of economic resilience is higher than that of digital logistics, but the gap between them is narrowing. As a whole, the degree of coupling coordination has been increasing year by year, and there is a positive spatial correlation. From the perspective of driving factors, the proportion of added value of the tertiary industry has the greatest impact on its coupling coordination degree, and the smallest is the number of internet broadband access. Therefore, it is necessary to promote the coordinated development of digital logistics and economic resilience.

digital logistics  /  economic resilience  /  coupling coordination degree  /  spatial autocorrelation  /  grey correlation degree
Xiangli XU. Coupling Coordination Degree of Digital Logistics and Regional Economic Resilience: Based on the Data of 11 Provinces in the Yangtze[J]. Science Technology and Industry, 2025 , 25 (1) : 181 -189 .
Year 2025 volume 25 Issue 1
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Article Info
  • Receive Date:2024-07-08
  • Online Date:2025-07-20
  • Published:2025-01-10
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  • Received:2024-07-08
Affiliations
    School of Management, Bohai University, Jinzhou 121000, Liaoning, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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