Research on the Spatial Pattern Evolution Characteristics of Industrial Agglomeration in China’s Digital Economy
- DOI
- 10.2991/978-94-6463-010-7_125How to use a DOI?
- Keywords
- digital economy; agglomeration; spatial pattern; information technology
- Abstract
With the maturity and industrialization of the new generation of information technology represented by cloud computing, big data, Internet of things, mobile Internet and artificial intelligence, the development of digital economy has entered a high-speed growth track. Undoubtedly, digital economy has gradually become a key force to promote the development of national economic growth. China’s “fourteenth five year plan for the development of digital economy” proposes to promote the industrial cluster of digital economy, which shows that the industrial cluster of digital economy has gradually entered the implementation stage. Based on the location entropy index and Moran index, this paper analyzes the pattern evolution characteristics of China’s digital economy industrial agglomeration from the perspectives of regional development imbalance, regional relevance and local conditions, and puts forward relevant development suggestions to better meet the strategic needs of cluster development.
- Copyright
- © 2023 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.
Cite this article
TY - CONF AU - Kunyi Ren PY - 2022 DA - 2022/12/02 TI - Research on the Spatial Pattern Evolution Characteristics of Industrial Agglomeration in China’s Digital Economy BT - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022) PB - Atlantis Press SP - 1210 EP - 1218 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-010-7_125 DO - 10.2991/978-94-6463-010-7_125 ID - Ren2022 ER -