The Mediating Roles of Economic, Socio-Cultural, and Environmental Factors to Predict Tourism Market Development by Means of Regenerative Travel: An Infrastructural Perspective of China–Pakistan Economic Corridor (CPEC)
Abstract
:1. Introduction
- Research the effect of CPEC infrastructure development (CPECID) on the GB tourist economy.
- Investigate the economic, socio-cultural, and environmental advantages and costs associated with CPECID and tourism in GB.
1.1. Global Market Perspective
1.2. Regenerative Travel Perspective
2. Literature Review
2.1. Social Exchange Theory
2.2. Infrastructure Development
2.3. Economic Impact (Benefit and Cost)
2.4. Socio-Cultural Impact (Benefit and Cost)
2.5. Environmental Impact (Benefit and Cost)
2.6. The Mediating Role of Economic Benefit, and Socio-Cultural and Environmental Impact
2.7. Conceptual Model
3. Methodology
3.1. Measures
3.2. Participants and Procedures
4. Results
4.1. Measurement Model
4.2. Assessment of the Structural Model
5. Discussions and Conclusions
6. Limitation and Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variable | Frequency | Percentage |
---|---|---|
Gender | ||
Male | 211 | 62.8 |
Female | 125 | 37.2 |
Age | ||
Below 20 years | 68 | 20.2 |
20–40 years | 264 | 78.6 |
41–60 years | 4 | 1.2 |
Education | ||
Intermediate | 62 | 18.5 |
Bachelors | 215 | 64 |
Master’s and above | 59 | 17.6 |
Marital Status | ||
Single | 285 | 84.8 |
Married | 50 | 14.8 |
Divorced | 1 | 0.29 |
Items | FL | CA | CR | AVE |
---|---|---|---|---|
CPECID1 | 0.787 | 0.908 | 0.928 | 0.684 |
CPECID2 | 0.878 | |||
CPECID3 | 0.729 | |||
CPECID4 | 0.782 | |||
SCI1 | 0.878 | |||
SCI2 | 0.733 | |||
SCI3 | 0.738 | |||
SCI4 | 0.834 | 0.932 | 0.946 | 0.745 |
SCI5 | 0.879 | |||
SCI6 | 0.877 | |||
EB1 | 0.869 | |||
EB2 | 0.909 | 0.937 | 0.950 | 0.761 |
EB3 | 0.859 | |||
EB4 | 0.772 | |||
EI1 | 0.580 | |||
EI2 | 0.707 | |||
EI3 | 0.548 | |||
EI4 | 0.700 | 0.910 | 0.931 | 0.693 |
EI5 | 0.691 | |||
EI6 | 0.557 | |||
EI7 | 0.505 | |||
TD1 | 0.708 | 0.943 | 0.955 | 0.779 |
TD2 | 0.716 | |||
TD3 | 0.829 | |||
TD4 | 0.712 |
Constructs | HTMT | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
CPECID | SCI | EB | EI | TD | BO | JP | OCB | POS | PS | WB | |
CPECID | 0.827 | ||||||||||
SCI | 0.059 | 0.863 | 0.089 | ||||||||
EB | 0.017 | 0.205 | 0.845 | 0.081 | 0.219 | ||||||
EI | 0.233 | 0.047 | 0.163 | 0.873 | 0.230 | 0.078 | 0.174 | ||||
TD | 0.521 | 0.140 | 0.088 | 0.412 | 0.832 | 0.549 | 0.147 | 0.099 | 0.441 |
R-Square | Endogenous Variables | R Square | R Square Adjusted | 0.26: Substantial, 0.13: Moderate, 0.02: Weak (Cohen 1989) [101] | ||
EI | 0.118 | 0.111 | ||||
SCI | 0.164 | 0.151 | ||||
EB | 0.515 | 0.511 | ||||
TD | 0.241 | 0.235 | ||||
Effect Size (F-Square) | Exogenous Variables | BO | JP | OCB | PS | 0.35: Large, 0.15: Medium effect, 0.02: Small effect (Cohen 1989) [101] |
CPEC_TR | 0.018 | |||||
Collinearity (Inner VIF) | Exogenous Variables | EI | SCI | EB | EI | VIF ≤ 5.0 (Hair et al. 2017) [102] |
EI | 1.404 | |||||
SCI | 2.106 | |||||
EB | 1.006 | 1.249 | 1.006 | 1.006 | ||
TD | 1.660 | |||||
EI | 1.005 | 1.870 | 1.005 | 1.005 | ||
Predictive Relevance (Q-Square) | WB | CCR | CCC | Value larger than 0 indicates predictive relevance (Hair et al. 2017) [102] | ||
EI | 0.074 | 0.563 | ||||
SCI | 0.117 | 0.637 | ||||
EB | 0.363 | 0.596 | ||||
TD | 0.162 | 0.571 |
Direct Hypothesis | β-Values | M | STDEV | T-Values | p-Values |
---|---|---|---|---|---|
CPEC_TR → EB | 0.571 | 0.580 | 0.088 | 6.458 | 0.000 |
CPEC_TR → EI | 0.545 | 0.555 | 0.104 | 5.230 | 0.000 |
CPEC_TR → SCI | 0.608 | 0.614 | 0.077 | 7.891 | 0.000 |
CPEC_TR → TD | 0.543 | 0.557 | 0.087 | 6.262 | 0.000 |
EB → TD | 0.396 | 0.412 | 0.094 | 4.234 | 0.000 |
EI → TD | 0.208 | 0.208 | 0.112 | 1.856 | 0.004 |
SCI → TD | 0.334 | 0.334 | 0.103 | 3.235 | 0.001 |
CPEC_TR → EB → TD | 0.226 | 0.239 | 0.068 | 3.330 | 0.001 |
CPEC_TR → SCI → TD | 0.203 | 0.203 | 0.065 | 3.116 | 0.002 |
CPEC_TR → EI → TD | 0.113 | 0.114 | 0.066 | 3.711 | 0.007 |
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Zulfaqar, M.; Bashir, S.; Yaghmour, S.M.A.; Turi, J.A.; Hussain, M. The Mediating Roles of Economic, Socio-Cultural, and Environmental Factors to Predict Tourism Market Development by Means of Regenerative Travel: An Infrastructural Perspective of China–Pakistan Economic Corridor (CPEC). Sustainability 2023, 15, 5025. https://doi.org/10.3390/su15065025
Zulfaqar M, Bashir S, Yaghmour SMA, Turi JA, Hussain M. The Mediating Roles of Economic, Socio-Cultural, and Environmental Factors to Predict Tourism Market Development by Means of Regenerative Travel: An Infrastructural Perspective of China–Pakistan Economic Corridor (CPEC). Sustainability. 2023; 15(6):5025. https://doi.org/10.3390/su15065025
Chicago/Turabian StyleZulfaqar, Maria, Shahid Bashir, Samer Mohammed Ahmed Yaghmour, Jamshid Ali Turi, and Musaib Hussain. 2023. "The Mediating Roles of Economic, Socio-Cultural, and Environmental Factors to Predict Tourism Market Development by Means of Regenerative Travel: An Infrastructural Perspective of China–Pakistan Economic Corridor (CPEC)" Sustainability 15, no. 6: 5025. https://doi.org/10.3390/su15065025
APA StyleZulfaqar, M., Bashir, S., Yaghmour, S. M. A., Turi, J. A., & Hussain, M. (2023). The Mediating Roles of Economic, Socio-Cultural, and Environmental Factors to Predict Tourism Market Development by Means of Regenerative Travel: An Infrastructural Perspective of China–Pakistan Economic Corridor (CPEC). Sustainability, 15(6), 5025. https://doi.org/10.3390/su15065025