Study on Digitalization and Communication of Brand Image of Guangdong, Hong Kong and Macao Greater Bay Area 
 and   
Sep 23, 2025
About this article
Published Online: Sep 23, 2025
Received: Dec 21, 2024
Accepted: Apr 20, 2025
DOI: https://doi.org/10.2478/amns-2025-0991
Keywords
© 2025 Xiaojian Chen and Jiaqi Yuan published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.

Statistics of brand personality words of each city
| Dimensionality | Feature word | Guangzhou | Shenzhen | Zhuhai | Hong Kong | Macau | 
|---|---|---|---|---|---|---|
| Internationalization | World-class | 42 | 41 | 28 | 56 | 51 | 
| World-leading | 15 | 42 | 25 | 41 | 39 | |
| Globalized | 24 | 33 | 21 | 31 | 22 | |
| Open | 34 | 40 | 38 | 36 | 31 | |
| High speed | Efficient | 21 | 53 | 22 | 49 | 58 | 
| Energetic | 22 | 61 | 18 | 51 | 31 | |
| Modernize | 45 | 49 | 16 | 55 | 43 | |
| Diversification | Inclusive | 75 | 43 | 32 | 38 | 26 | 
| Cross-cultural | 15 | 34 | 19 | 41 | 55 | |
| Historical | 32 | 0 | 0 | 0 | 0 | |
| Artistic | 16 | 0 | 0 | 0 | 0 | |
| Livable | Leisurely | 122 | 70 | 89 | 60 | 53 | 
| Rustic | 0 | 0 | 0 | 0 | 0 | |
| Refreshing | 0 | 0 | 9 | 0 | 0 | 
Statistics of brand personality words over the years
| Year | Internationalization | High speed | Diversification | Livable | Total | ||||
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 281 | 26.02 | 155 | 14.25 | 352 | 32.60 | 292 | 27.04 | 1080 | 
| 2020 | 392 | 27.41 | 264 | 18.46 | 489 | 34.20 | 285 | 19.93 | 1430 | 
| 2021 | 588 | 33.75 | 367 | 21.07 | 301 | 17.28 | 486 | 27.90 | 1742 | 
| 2022 | 650 | 27.25 | 684 | 28.68 | 562 | 23.56 | 489 | 20.50 | 2385 | 
| 2023 | 665 | 28.25 | 719 | 30.54 | 557 | 23.66 | 413 | 17.54 | 2354 | 
Brand personality dimension statistics
| Region | Internationalization | High speed | Diversification | Livable | Total | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | n | % | n | % | |
| Guangzhou | 115 | 1.28 | 88 | 0.98 | 138 | 1.54 | 122 | 1.36 | 463 | 5.17 | 
| Shenzhen | 156 | 1.74 | 163 | 1.81 | 77 | 0.86 | 70 | 0.78 | 466 | 5.20 | 
| Zhuhai | 91 | 1.02 | 56 | 0.62 | 51 | 0.57 | 98 | 1.09 | 296 | 3.30 | 
| Hong Kong | 164 | 1.83 | 155 | 1.73 | 79 | 0.88 | 60 | 0.67 | 458 | 5.11 | 
| Macau | 143 | 1.60 | 132 | 1.47 | 81 | 0.90 | 53 | 0.59 | 409 | 4.57 | 
| Total | 669 | 7.48 | 594 | 6.63 | 426 | 4.76 | 403 | 4.49 | 2092 | 23.35 | 
| Guangdong-Hong Kong-Macao Greater Bay Area | 2576 | 28.76 | 2189 | 24.44 | 2261 | 25.24 | 1965 | 21.94 | 8958 | 100.00 | 
Emotional distribution of tourists
| Affective category | Account for% | Intensity | Account for% | 
|---|---|---|---|
| Positive emotion | 78.98% | Normal | 42.64% | 
| Moderate | 13.51% | ||
| Altitude | 22.83% | ||
| Neutral emotion | 10.24% | ||
| Negative emotion | 10.78% | Normal | 8.24% | 
| Moderate | 2.14% | ||
| Altitude | 0.40% | ||
| Total | 100.00% | 
