Analysis of Spatio-Temporal Coupling Evolution Characteristics and Differences between Digital Economy and Green Logistics from the Perspective of Big Data

Jingyi Ji (), Longfei Shen (), Jiong Zhang (), Hongyi Le () and Qirui He ()
Additional contact information
Jingyi Ji: Northeastern Forestry University
Longfei Shen: Northeastern Forestry University
Jiong Zhang: Northeastern Forestry University
Hongyi Le: Northeastern Forestry University
Qirui He: Northeastern Forestry University

A chapter in Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024), 2024, pp 455-466 from Springer

Abstract: Abstract In the context of rapid big data development, this paper evaluates the development levels of the digital economy and green logistics in the Harbin-Changchun and Central-Southern Liaoning urban agglomerations using the Technique for Order Preference by Similarity to an Ideal Solution entropy weight method. Then, by constructing a coupling coordination indicator system, it studies the spatio-temporal characteristics of the coupling between green logistics and the digital economy in these two urban agglomerations. The results indicate significant differences within the two urban agglomerations. Large cities such as Harbin and Shenyang perform prominently in the coupling and coordination of the digital economy and green logistics, while some smaller cities lag behind. Over time, although the overall level of coupling and coordination has improved, there are still issues of uneven spatial distribution and low coupling degrees in some regions. Therefore, measures such as accelerating the deep integration of the digital economy and green logistics, strengthening inter-regional collaboration and cooperation, and adapting to local conditions are proposed, aiming to promote the overall green development and enhance the digital economy levels of the Harbin-Changchun and Central-Southern Liaoning urban agglomerations, and contribute to the goal of achieving integration in Northeast China.

Keywords: big data; digital economy; green logistics; urban agglomerations; coupling coordination indicator system (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-638-3_45

Ordering information: This item can be ordered from
http://www.springer.com/9789464636383

DOI: 10.2991/978-94-6463-638-3_45

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().