Table 1 Sample descriptive statistics (N = 274).
From: How does live streaming affect tourists’ intention — a psychology theory perspective
Demographic variable | Items | Frequency | Percentage (%) |
|---|---|---|---|
Gender | Male | 117 | 42.70% |
Female | 157 | 57.30% | |
Age | Under 19 years old | 31 | 11.31% |
20–29 years old | 89 | 32.48% | |
30–39 years old | 91 | 33.21% | |
40–49 years old | 48 | 17.52% | |
50 years old or above | 15 | 5.47% | |
Education Level | High school or below | 16 | 5.84% |
Junior college | 99 | 36.13% | |
Bachelor’s degree | 151 | 55.11% | |
Graduate degree or above | 8 | 2.92% | |
Monthly Income | 4,000 and below | 71 | 25.91% |
4,001–6,000 yuan | 96 | 35.04% | |
6,001–8,000 yuan | 53 | 19.34% | |
8,001–10,000 yuan | 26 | 9.49% | |
10,001–15,000 yuan | 15 | 5.47% | |
Above 15,000 yuan | 13 | 4.74% | |
Daily Internet Use | Less than 2 h | 75 | 27.37% |
2–4 h | 89 | 32.48% | |
4–6 h | 50 | 18.25% | |
6–8 h | 41 | 14.96% | |
8 h or more | 19 | 6.93% | |
Frequency of Watching Tourism Live Streams | Rarely | 5 | 1.82% |
Occasionally | 14 | 5.11% | |
Sometimes | 54 | 19.71% | |
Often | 105 | 38.32% | |
Very Often | 96 | 35.04% |
