Empirical Research on Economical Spillover Effect of Guangdong-Hong Kong-Macao Greater Bay Area on Surrounding Cities Base on Spatial Big Data

DOI

10.2991/978-94-6463-064-0_6How to use a DOI?

Keywords

Guangdong-HongKong-Macao Greater Bay (GBA); Economical spillover effect; Economic Network Structure; Spatial Big data

Abstract

Using TOPSIS evaluation method, the comprehensive strength of cities were calculated and evaluated according to some economic indicators of Guangdong-HongKong-Macao Greater Bay Area (GBA) and surrounding cities in 2021, and the social network analysis tool was used for empirical research to analyze the economic spatial connection between GBA and the surrounding cities in Guangdong. It found that the overall network connection of urban agglomeration depends on the radiation of core cities Hong Kong, Guangzhou and Shenzhen. There was a lack of reasonable gradient central cities. The surrounding cities in eastern, northern and western Guangdong were less affected by cities in GBA. There was a risk of isolation in marginal cities. The research showed that the coordinated development pattern of cities in the economic network of GBA urban agglomeration had initially taken shape. The economical spillover effect of GBA on the surrounding cities of Guangdong were beginning to show.

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.

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TY  - CONF
AU  - Yun Yang
PY  - 2022
DA  - 2022/12/27
TI  - Empirical Research on Economical Spillover Effect of Guangdong-Hong Kong-Macao Greater Bay Area on Surrounding Cities Base on Spatial Big Data
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 43
EP  - 49
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_6
DO  - 10.2991/978-94-6463-064-0_6
ID  - Yang2022
ER  -