Study on Digitalization and Communication of Brand Image of Guangdong, Hong Kong and Macao Greater Bay Area
et
23 sept. 2025
À propos de cet article
Publié en ligne: 23 sept. 2025
Reçu: 21 déc. 2024
Accepté: 20 avr. 2025
DOI: https://doi.org/10.2478/amns-2025-0991
Mots clés
© 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% |
