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

DOI

10.2991/978-94-6463-638-3_45How to use a DOI?

Keywords

big data; digital economy; green logistics; urban agglomerations; coupling coordination indicator system

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.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jingyi Ji
AU  - Longfei Shen
AU  - Jiong Zhang
AU  - Hongyi Le
AU  - Qirui He
PY  - 2024
DA  - 2024/12/30
TI  - Analysis of Spatio-Temporal Coupling Evolution Characteristics and Differences between Digital Economy and Green Logistics from the Perspective of Big Data
BT  - Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024)
PB  - Atlantis Press
SP  - 455
EP  - 466
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-638-3_45
DO  - 10.2991/978-94-6463-638-3_45
ID  - Ji2024
ER  -