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 |
|
|