Exploring the Influence of Perceived Epidemic Severity and Risk on Well-Being in Nature-Based Tourism—Taking China’s Post-1990 Generation as an Example
Abstract
:1. Introduction
2. Literature Review and Hypotheses
2.1. NC, ART, and WB
2.2. PR, NC, and WB
2.3. PS, PR, and WB
3. Research Methodology
3.1. Questionnaire Design
3.2. Sample’s Criteria
3.3. Data Collection
3.4. Data Analysis
3.5. Item Analysis
4. Analysis of Results
4.1. Descriptive Statistical Analysis
4.2. Reliability and Validity Analysis
4.3. Hypotheses Test
- Model 1: Self-variable for NR and PR; the dependent variable is NC; F value = 15.257; p = 0.000; R2 = 0.094; DW = 2.036; VIF = 1.038.
- Model 2: Self-variable for PS; the dependent variable is PR; F = 167.802; p = 0.000; R2 = 0.378; DW = 2.058; VIF = 1.000.
- Model 3: Self-variable for NC; the dependent variable is attention recovery; F = 1183.650; p = 0.000; R2 = 0.811; DW = 2.118; VIF = 1.000.
- Model 4: Self-variables for PR, NC, and attention recovery; the dependent variable is WB; F value = 578.724; p = 0.000, up to a significant level; R2 = 0.863; DW (Durbin–Watson) = 1.846; VIFs = 5.334, 5.354, and 1.086.
5. Discussion
6. Implication
6.1. Theoretical Implication
6.2. Industrial Implications
6.2.1. Opportunities to Create Immersive Experiences for Attention Recovery
6.2.2. Strengthen Tourism Environment’s Risk Control
7. Limitation and Future Research
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Construct | Variables | CR | Item-to-Total Correlations | Cronbach’s α | References |
---|---|---|---|---|---|
NR | NR1: In the environment of COVID-19, I will increase the number of engagements in nature-based tourism. | 17.387 *** | 0.675 | 0.933 | Nisbet et al. [50]; Biedenweg et al. [51] |
NR2: In the environment of COVID-19, I will relieve the pressure through engagements in nature-based tourism. | 28.550 *** | 0.869 | 0.869 | ||
NR3: In the environment of COVID-19, I think relieving the pressure through engagement in nature-based tourism is good for physical and mental health. | 30.023 *** | 0.872 | 0.868 | ||
NR4: In the environment of COVID-19, engagement in nature-based tourism makes me happy. | 26.250 *** | 0.825 | 0.885 | ||
PS | PS1: I feel that COVID-19 is getting more and more serious. | 20.010 *** | 0.649 | 0.672 | Jones et al. [52]; Kim and Kim [39] |
PS2: I feel the possibility of COVID-19 infection is increasingly likely. | 19.978 *** | 0.632 | 0.682 | ||
PS3: I feel that COVID-19 will have a serious impact on health. | 12.166 *** | 0.506 | 0.748 | ||
PS4: I feel that COVID-19 has had a great impact on my life. | 14.811 *** | 0.508 | 0.747 | ||
PR | PR1: When I travel, I worry about being infected with COVID-19. | 21.247 *** | 0.828 | 0.878 | Zhu and Deng [53] |
PR2: When I travel, I worry about being infected with COVID-19 when I come into contact with people. | 19.869 *** | 0.819 | 0.881 | ||
PR3: When I travel, I think the possibility of being infected with COVID-19 is very high. | 26.308 *** | 0.795 | 0.889 | ||
PR4: When I travel, I am anxious about COVID-19. | 25.053 *** | 0.772 | 0.899 | ||
NC | NC1: My ideal vacation place is the natural environment of the remote wilderness. | 20.660 *** | 0.805 | 0.977 | Biedenweg, Scott and Scott [51]; Basu et al. [54] |
NC2: I feel good when I am in contact with nature. | 24.024 *** | 0.900 | 0.974 | ||
NC3: My happiness increases when I interact with nature. | 25.474 *** | 0.918 | 0.973 | ||
NC4: I like to interact with nature. | 28.255 *** | 0.936 | 0.972 | ||
NC5: I enjoy everything in nature. | 27.206 *** | 0.928 | 0.973 | ||
NC6: I like being close to nature. | 27.074 *** | 0.934 | 0.972 | ||
NC7: When I am close to nature, I seem to be one with nature. | 28.097 *** | 0.882 | 0.974 | ||
NC8: I often get in touch with nature, and I feel my anxiety is gradually decreasing. | 24.456 *** | 0.874 | 0.974 | ||
NC9: I love nature deeply. | 26.483 *** | 0.865 | 0.975 | ||
NC10: I have a special feeling for nature. | 25.946 *** | 0.835 | 0.976 | ||
ART | ART1: Contact with nature can help me relax my tense mood. | 29.614 *** | 0.937 | 0.973 | Kaplan and Kaplan [20]; Hartig et al. [55]; Laumann et al. [56] |
ART2: The natural environment can make me yearn for a better life. | 33.135 *** | 0.924 | 0.973 | ||
ART3: The surrounding environment makes me feel the comfort of nature. | 26.631 *** | 0.886 | 0.976 | ||
ART4: The natural environment is attractive. | 33.176 *** | 0.951 | 0.972 | ||
ART5: In the natural environment, I am willing to spend more time exploring and thinking. | 30.218 *** | 0.903 | 0.975 | ||
ART6: I can do my favorite activities in such an environment. | 28.476 *** | 0.889 | 0.976 | ||
ART7: I really like this natural environment. | 32.491 *** | 0.927 | 0.973 | ||
WB | WB1: The natural environment makes me feel very happy. | 31.010 *** | 0.905 | 0.957 | Basu, Hashimoto and Dasgupta [54] |
WB2: The natural environment keeps me close to my ideal life. | 28.737 *** | 0.894 | 0.958 | ||
WB3: The natural environment makes me satisfied with life. | 29.877 *** | 0.912 | 0.957 | ||
WB4: The natural environment makes me interested in daily activities. | 29.739 *** | 0.917 | 0.957 | ||
WB5: The natural environment makes me optimistic about the future. | 27.914 *** | 0.916 | 0.957 | ||
WB6: The natural environment makes my physical and mental health better. | 29.402 *** | 0.889 | 0.959 | ||
WB7: My interpersonal relationships are very good. | 18.635 *** | 0.734 | 0.967 | ||
WB8: I think my living environment is very good. | 20.428 *** | 0.735 | 0.967 |
Construct | Variables | Mean | SD | Factor Loading | Communality | Eigenvalue | The Total Explanation of Variance | CR | AVE | Cronbach’s α |
---|---|---|---|---|---|---|---|---|---|---|
NR | NR1 | 2.580 | 1.534 | 0.800 | 0.641 | 3.196 | 79.907% | 0.941 | 0.799 | 0.915 |
NR2 | 3.203 | 1.736 | 0.932 | 0.868 | ||||||
NR3 | 3.543 | 1.773 | 0.932 | 0.869 | ||||||
NR4 | 3.710 | 1.822 | 0.905 | 0.819 | ||||||
PS | PS1 | 4.797 | 1.512 | 0.826 | 0.682 | 2.369 | 59.223% | 0.853 | 0.842 | 0.769 |
PS2 | 4.533 | 1.569 | 0.817 | 0.668 | ||||||
PS3 | 5.812 | 1.299 | 0.712 | 0.507 | ||||||
PS4 | 5.380 | 1.358 | 0.716 | 0.512 | ||||||
PR | PR1 | 5.471 | 1.410 | 0.912 | 0.832 | 3.186 | 79.649% | 0.940 | 0.786 | 0.915 |
PR2 | 5.576 | 1.395 | 0.907 | 0.823 | ||||||
PR3 | 4.960 | 1.545 | 0.882 | 0.778 | ||||||
PR4 | 4.935 | 1.608 | 0.868 | 0.753 | ||||||
NC | NC1 | 5.493 | 1.306 | 0.840 | 0.705 | 8.290 | 82.905% | 0.980 | 0.829 | 0.977 |
NC2 | 5.667 | 1.202 | 0.921 | 0.848 | ||||||
NC3 | 5.685 | 1.193 | 0.935 | 0.874 | ||||||
NC4 | 5.652 | 1.222 | 0.951 | 0.904 | ||||||
NC5 | 5.707 | 1.199 | 0.944. | 0.891 | ||||||
NC6 | 5.750 | 1.175 | 0.946 | 0.900 | ||||||
NC7 | 5.540 | 1.283 | 0.905 | 0.820 | ||||||
NC8 | 5.674 | 1.225 | 0.898 | 0.807 | ||||||
NC9 | 5.768 | 1.149 | 0.890 | 0.793 | ||||||
NC10 | 5.620 | 1.226 | 0.866 | 0.749 | ||||||
ART | ART1 | 5.790 | 1.147 | 0.955 | 0.912 | 6.179 | 88.268% | 0.981 | 0.883 | 0.978 |
ART2 | 5.783 | 1.171 | 0.945 | 0.893 | ||||||
ART3 | 5.772 | 1.167 | 0.916 | 0.839 | ||||||
ART4 | 5.779 | 1.111 | 0.965 | 0.931 | ||||||
ART5 | 5.717 | 1.157 | 0.929 | 0.862 | ||||||
ART6 | 5.667 | 1.165 | 0.918 | 0.844 | ||||||
ART7 | 5.750 | 1.112 | 0.948 | 0.898 | ||||||
WB | WB1 | 5.717 | 1.118 | 0.932 | 0.868 | 6.444 | 80.552% | 0.971 | 0.806 | 0.965 |
WB2 | 5.587 | 1.225 | 0.924 | 0.853 | ||||||
WB3 | 5.638 | 1.184 | 0.937 | 0.877 | ||||||
WB4 | 5.681 | 1.160 | 0.942 | 0.887 | ||||||
WB5 | 5.725 | 1.149 | 0.941 | 0.886 | ||||||
WB6 | 5.775 | 1.079 | 0.920 | 0.846 | ||||||
WB7 | 5.536 | 1.142 | 0.784 | 0.614 | ||||||
WB8 | 5.580 | 1.094 | 0.783 | 0.613 |
NR | PS | PR | NC | ART | WB | |
---|---|---|---|---|---|---|
NR | 0.894 | |||||
PS | −0.026 | 0.770 | ||||
PR | −0.190 | 0.616 | 0.892 | |||
NC | 0.110 | 0.266 | 0.271 | 0.911 | ||
ART | 0.092 | 0.301 | 0.278 | 0.901 | 0.940 | |
WB | 0.089 | 0.303 | 0.297 | 0.837 | 0.929 | 0.898 |
Dependent Variable | Independent Variable | Unstandardized Coefficient | Standardized | t Value | Significance | Collinearity Statistics | Durbin–Watson | ||
---|---|---|---|---|---|---|---|---|---|
Β estimation Value | Standard Error | Beta Value | Tolerance | VIF | |||||
NC | (Constant) | 3.940 | 0.318 | 12.376 | 0.000 | 2.036 | |||
NR | 0.120 | 0.042 | 0.167 | 2.859 | 0.005 | 0.964 | 1.038 | ||
PR | 0.253 | 0.049 | 0.303 | 5.184 | 0.000 | 0.964 | 1.038 | ||
PR | (Constant) | 1.442 | 0.300 | 4.813 | 0.000 | 2.058 | |||
PS | 0.739 | 0.057 | 0.616 | 12.954 | 0.000 | 1.000 | 1.000 | ||
ART | (Constant) | 0.793 | 0.147 | 5.404 | 0.000 | 2.118 | |||
NC | 0.877 | 0.025 | 0.901 | 34.404 | 0.000 | 1.000 | 1.000 | ||
WB | (Constant) | 0.464 | 0.138 | 3.361 | 0.001 | 1.846 | |||
NC | −0.004 | 0.048 | −0.004 | −0.086 | 0.932 | 0.187 | 5.334 | ||
ART | 0.877 | 0.049 | 0.921 | 17.838 | 0.000 | 0.187 | 5.354 | ||
PR | 0.033 | 0.018 | 0.043 | 1.838 | 0.067 | 0.921 | 1.086 |
Hypotheses | β Coefficient | t Value | p | Testing | Result |
---|---|---|---|---|---|
H1 | 0.167 | 2.859 | 0.005 | p < 0.001 | acceptance |
H2 | 0.901 | 34.404 | 0.000 | p < 0.001 | acceptance |
H3 | 0.921 | 17.838 | 0.000 | p < 0.001 | acceptance |
H4 | 0.303 | 5.184 | 0.000 | p < 0.001 | acceptance |
H5 | −0.004 | −0.086 | 0.932 | p > 0.050 | rejection |
H6 | 0.616 | 12.954 | 0.000 | p < 0.001 | acceptance |
H7 | 0.043 | 1.838 | 0.067 | p > 0.050 | rejection |
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Wang, D.; Liu, H.-L.; Shen, C.-C. Exploring the Influence of Perceived Epidemic Severity and Risk on Well-Being in Nature-Based Tourism—Taking China’s Post-1990 Generation as an Example. Sustainability 2022, 14, 11133. https://doi.org/10.3390/su141811133
Wang D, Liu H-L, Shen C-C. Exploring the Influence of Perceived Epidemic Severity and Risk on Well-Being in Nature-Based Tourism—Taking China’s Post-1990 Generation as an Example. Sustainability. 2022; 14(18):11133. https://doi.org/10.3390/su141811133
Chicago/Turabian StyleWang, Dan, Hsi-Lin Liu, and Ching-Cheng Shen. 2022. "Exploring the Influence of Perceived Epidemic Severity and Risk on Well-Being in Nature-Based Tourism—Taking China’s Post-1990 Generation as an Example" Sustainability 14, no. 18: 11133. https://doi.org/10.3390/su141811133