Health, Wellness and Tourism: healthy tourists, healthy business ...

significantly from each other. There were only 2 cluster groups identified, the means of all 6
benefit factors in “cluster 1” were all significantly higher than those in “cluster 2”. Therefore,
the elderly in “cluster 1” were named as “Active Benefits Seekers”; on the other hand, those
in “cluster 2” were named as “Passive Benefits Seekers”. The percentage of population in
type of active benefits seekers (n=395; 66.3%) is higher than the passive benefits seekers
(n=201; 33.7%).
Table 1: The perceived travel benefits between active and passive benefits seekers
1. Family gathering and
relationship
enhancement
Cluster
(n=395)
I Cluster II (n=201)
Active
Passive
benefits seeker benefits seeker t-value p
M SD M SD
21.31 (2.27) 17.64 (2.43) 18.37 .000
2. nature appreciation 20.59 (2.17) 16.53 (2.28) 21.54 .000
3. experiencing life 11.96 (1.77) 9.69 (2.06) 13.85 .000
4. escape and relaxation 17.27 (3.07) 14.14 (2.73) 12.96 .000
5. cultural understanding 11.82 (1.68) 9.15 (1.65) 19.05 .000
6. social interaction 15.78 (2.07) 12.53 (2.06) 18.68 .000
Description of the Demographic Background of two Clusters
To understand the background differences of elderly travelers in two clusters, both t-test and
chi-square were applied. The results show that there are significant differences on the
variables of age, education level, and discretionary income between active benefits seekers
and passive benefits seekers. However, there is no significant difference on gender and
occupations before retirement between two groups.
Compared to the passive benefits seekers, the active benefits seekers is younger with higher
educational level and have higher discretionary monthly income than the passive benefits
seekers. The passive benefits seekers are comparatively much older with lower educational
level and tend to have less discretionary monthly income. The details of demographic
background between active benefits seekers and passive benefits seekers are as Table 2.