Research on the Coupling Mechanism of Intelligent Logistics and the Northeast Regional Economy—A Case Study of Liaoning province

Ruohong Xu () and Tianai Wang ()
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Ruohong Xu: Liaoning University of Engineering and Technology, School of Business Administration
Tianai Wang: Liaoning University of Engineering and Technology, School of Business Administration

A chapter in Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025), 2025, pp 7-22 from Springer

Abstract: Abstract This paper proposes an evaluation index system for intelligent logistics and regional economic growth in Liaoning Province, based on the “14th Five-Year Plan” for modern logistics development in China. It fully employs entropy weighting and a coupling coordination degree model to analyze the index system and identify factors and countermeasures for coordinated development. The study unveils that the degree of coordination between the smart logistics system and the regional economic system in Liaoning Province is gradually increasing and is currently in the primary coordinated development stage. The primary constraints on the coordinated development of smart logistics and the regional economy are the level of sophistication of the logistics industry and the industrial structure. These constraints can be addressed through increased investment in fostering the level of regional logistics technology, which will construct a more advanced logistics technology, thus strengthening the stability of the benign environment of economic growth. This will open up a new way for regional economic development, and fill the gap in the research of intelligent logistics in Northeast China, and effectively affect the coordinated development of both sides. A new economic development path has been established, thus enabling smart logistics and sustainable economic development.

Keywords: smart logistics; regional economy; northeast region; evaluation index system; coupled coordination degree model (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-845-5_2

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