Research Article
The Method of Measuring the Agglomeration Degree of High-Tech Industries and Its Influence Mechanism: Taking Guangdong Province as an Example
Table 2
Changes in the clustering status of high-tech industries in Guangdong Province from 2013 to 2018.
| City | Dynamic agglomeration index | Agglomeration of industries |
| Guangzhou | 0.3183 | Weakening | Shenzhen | 1.1900 | Enhancing | Zhuhai | 0.8621 | Weakening | Shantou | 1.5184 | Enhancing | Foshan | 0.4888 | Weakening | Shaoguan | 1.6149 | Enhancing | Heyuan | 0.0409 | Weakening | Meizhou | 1.8966 | Enhancing | Huizhou | 0.3466 | Weakening | Shangwei | 0.7468 | Weakening | Dongguan | 3.1277 | Enhancing | Zhongshan | 0.1742 | Weakening | Jiangmen | 2.7112 | Enhancing | Yangjiang | 1.2021 | Enhancing | Zhanjiang | 2.5188 | Enhancing | Maoming | 1.7537 | Enhancing | Zhaoqing | 0.0867 | Weakening | Qingyuan | 3.5519 | Enhancing | Chaozhou | 1.1879 | Enhancing | Jieyang | 2.0530 | Enhancing | Yunfu | 0.7763 | Weakening |
|
|