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21 November 2022 Evaluation research on coupling and synergistic development of Beijing-Tianjin-Hebei express logistics industry and regional economy under circular economy: based on entropy method
Yufen Ai
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Proceedings Volume 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022); 1234010 (2022) https://doi.org/10.1117/12.2652718
Event: International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 2022, Lanzhou, China
Abstract
The logistics industry is a comprehensive service industry integrating transportation, warehousing, freight and other industries. The development of the logistics industry provides an important support for the development of regional economy and economic transformation in China. Taking Beijing-Tianjin-Hebei (JingJinJi) as the research object, the structure of the coupling system between express logistics industry and regional economy is analyzed, and the evaluation index system of the coupling between express logistics industry and regional economy is established. Combining with the evaluation index system, the coupling and coordination relationship between JingJinJi express logistics industry and regional economy is evaluated. The results show that affected by the adjustment of industrial structure, the comprehensive development level of regional economic sub-systems in Tianjin has shown a sudden drop trend, returning to slight imbalance from the original primary coordination; And the coupling and coordinated development level of logistics industry subsystem and the regional economic subsystem in Beijing and Hebei province has experienced a leap from imbalance to coordination. On the whole, however, the level of coupling and coordination between the logistics industry and the regional economy in the Beijing-Tianjin-Hebei region is still at the middle level.
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Yufen Ai "Evaluation research on coupling and synergistic development of Beijing-Tianjin-Hebei express logistics industry and regional economy under circular economy: based on entropy method", Proc. SPIE 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 1234010 (21 November 2022); https://doi.org/10.1117/12.2652718
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KEYWORDS
Analytical research
Data modeling
Lithium
Statistical modeling
Roads
Systems modeling
Tumor growth modeling
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