Road and Transportation Lead to Better Health and Sustainable Destination Development in Host Community: A Case of China Pakistan Economic Corridor (CPEC)
Abstract
:1. Introduction
2. Materials and Methods
3. Results
3.1. Confirmatory Factor Analysis
3.2. Structural Equation Modeling
3.3. Mediating Effect
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Perceived Accessibility |
1. CPEC will increase easy access to quality health care and hospitals (Access1) |
2. CPEC will provide access of farmer to the big cities through building chain roads/routes (Access2) |
3. CPEC provide access to quality education (Access3) |
4. CPEC will provide access to the remote area (Access4) |
5. CPEC will provide access to quality of public services—fire, police, etc. (Access5) |
6. CPEC will reduce shipping cost and provide access to high-quality mode of transportation (Access6) |
7. CPEC will reduce travel time to destination (Access7) |
8. CPEC will provide good public transportation system (Access8) |
9. CPEC will generate opportunity to meet people from other cultures (Access9) |
Perceived Employment |
1. CPEC will generate employment opportunities in the area (Empl1) |
2. CPEC will create chances for a person to find a good job (Empl2) |
3. CPEC will generate new business opportunities in the area (Empl3) |
4. A subsequent decline in poverty is imminent in light of CPEC (Empl4) |
5. Employment Wages will be better in CPEC jobs (Empl5) |
6. CPEC will provide employment and skills for improved livelihood opportunities (Empl6) |
7. More employment opportunities mean less crime (Empl7) |
8. CPEC will minimize social problem due to employment (Empl8) |
9. Career opportunities will be better than old job (Empl9) |
Perceived Income |
1. CPEC will increase the household income (Incm1) |
2. CPEC will generate revenue in the local economy (Incm2) |
3. Feeder roads along CPEC will increase the economic activities which lead to increase in income (Incm3) |
4. CPEC will improve the economic conditions of the area (Incm4) |
5. CPEC will improve living standard of the common people (Incm5) |
6. CPEC will Cover Current energy crises in the country which lead to increase in family income (Incm6) |
7. Long term, investments have positive economic consequences (Incm7) |
8. CPEC would mitigate the poverty across its lines (Incm8) |
Perceived Health |
1. Essential of basic ammonites such as health are ensured in CPEC (Hlth1) |
2. New health facilities are expected to be established under CPEC (Hlth2) |
3. Under the CPEC health will be improved by introducing new, advanced tools and equipment (Hlth3) |
4. Availability of electricity is essential for the functioning and delivery of health services (Hlth4) |
5. Under CPEC better transportation networks may also contribute to easier access to health care (Hlth5) |
6. CPEC will help to reduce different disease by access to clean, safe water and sanitation infrastructure (Hlth6) |
7. Under the CPEC project health of the common people will be improved (Hlth7) |
8. Availability of recreational facilities will improve health (Hlth8) |
9. CPEC will increase noise level which causes to different health problem (Hlth9) |
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Characteristics | N = 505 | Percentage | S.D |
---|---|---|---|
Gender | 0.473 | ||
Male | 335 | 66.3 | |
Female | 170 | 33.7 | |
Marital status | 0.495 | ||
Married | 215 | 42.6 | |
Unmarried | 290 | 57.4 | |
Family structure of the respondents | 0.503 | ||
Joint | 370 | 73.3 | |
Extended | 37 | 7.3 | |
Nuclear | 98 | 19.4 | |
Education of the respondents | 0.754 | ||
10-year education | 7 | 1.4 | |
12-year education | 18 | 3.6 | |
16-year education | 238 | 47.1 | |
18-year education | 201 | 39.8 | |
Ph. D and above 18-years of education | 41 | 8.1 |
Measurement * | Pattern Matrix | Standardized Loading | Cronbach’s Alpha | Explained Variance |
---|---|---|---|---|
Accessibility | 0.90 | 10.49% | ||
Acces1 | 0.784 | 0.717 | ||
Acces2 | 0.807 | 0.760 | ||
Acces3 | 0.755 | 0.756 | ||
Acces4 | 0.716 | 0.720 | ||
Acces5 | 0.702 | 0.708 | ||
Acces6 | 0.684 | 0.704 | ||
Acces7 | 0.687 | 0.703 | ||
Acces8 | 0.699 | 0.705 | ||
Acces9 | 0.707 | 0.708 | ||
Health | 0.91 | 12.24% | ||
Hlth1 | 0.751 | 0.738 | ||
Hlth2 | 0.713 | 0.720 | ||
Hlth3 | 0.744 | 0.743 | ||
Hlth4 | 0.694 | 0.722 | ||
Hlth5 | 0.719 | 0.743 | ||
Hlth6 | 0.687 | 0.711 | ||
Hlth7 | 0.782 | 0.787 | ||
Hlth8 | 0.809 | 0.749 | ||
Hlth9 | 0.799 | 0.737 | ||
Employment | 0.94 | 27.82% | ||
Empl1 | 0.732 | 0.766 | ||
Empl2 | 0.813 | 0.840 | ||
Empl3 | 0.738 | 0.772 | ||
Empl4 | 0.674 | 0.724 | ||
Empl5 | 0.898 | 0.850 | ||
Empl6 | 0.876 | 0.856 | ||
Empl7 | 0.736 | 0.766 | ||
Empl8 | 0.902 | 0.841 | ||
Empl9 | 0.839 | 0.761 | ||
Income | 0.92 | 8.23% | ||
Incm1 | 0.697 | 0.735 | ||
Incm2 | 0.840 | 0.818 | ||
Incm3 | 0.824 | 0.770 | ||
Incm4 | 0.806 | 0.786 | ||
Incm5 | 0.709 | 0.753 | ||
Incm6 | 0.746 | 0.756 | ||
Incm7 | 0.795 | 0.790 | ||
Incm8 | 0.742 | 0.744 |
Goodness of Fit | Recommended Value (Reference) | Measurement Model and SEM Model Fit |
---|---|---|
χ2/df | <3.00 [85] | 2.02 |
RMSEA | <0.100 [90] | 0.045 |
SRMR | <0.080 [82] | 0.037 |
CFI | >0.950 [86] | 0.954 |
TLI | >0.950 [91] | 0.949 |
CR | AVE | Accessibility | Employment | Health | Income | |
---|---|---|---|---|---|---|
Accessibility | 0.907 | 0.519 | 0.720 | |||
Employment | 0.940 | 0.638 | 0.220 | 0.799 | ||
Health | 0.915 | 0.546 | 0.261 | 0.286 | 0.739 | |
Income | 0.922 | 0.596 | 0.298 | 0.428 | 0.382 | 0.772 |
Hypothesis | Relationship | Standardized Estimates | t-Value | Result |
---|---|---|---|---|
H1 | Accessibility → Health | 0.261 *** | 5.16 | Support |
H1a | Accessibility → Income → Health | 0.149 ** | 3.03 | Support |
H2 | Employment → Health | 0.286 *** | 5.76 | Support |
H2a | Employment → Income → Health | 0.135 ** | 2.63 | Support |
H3 | Accessibility → Income | 0.216 *** | 4.55 | Support |
H4 | Employment → Income | 0.382 *** | 7.70 | Support |
H5 | Income → Health | 0.274 *** | 4.98 | Support |
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Ali, L.; Khan, S.; Shah, S.J.; Ullah, A.; Ashraf, H.; Ahmad, M.; Begum, A.; Han, H.; Ariza-Montes, A.; Araya-Castillo, L.; et al. Road and Transportation Lead to Better Health and Sustainable Destination Development in Host Community: A Case of China Pakistan Economic Corridor (CPEC). Int. J. Environ. Res. Public Health 2021, 18, 12832. https://doi.org/10.3390/ijerph182312832
Ali L, Khan S, Shah SJ, Ullah A, Ashraf H, Ahmad M, Begum A, Han H, Ariza-Montes A, Araya-Castillo L, et al. Road and Transportation Lead to Better Health and Sustainable Destination Development in Host Community: A Case of China Pakistan Economic Corridor (CPEC). International Journal of Environmental Research and Public Health. 2021; 18(23):12832. https://doi.org/10.3390/ijerph182312832
Chicago/Turabian StyleAli, Liaqat, Salim Khan, Syed Jamal Shah, Aman Ullah, Hina Ashraf, Mushtaq Ahmad, Abida Begum, Heesup Han, Antonio Ariza-Montes, Luis Araya-Castillo, and et al. 2021. "Road and Transportation Lead to Better Health and Sustainable Destination Development in Host Community: A Case of China Pakistan Economic Corridor (CPEC)" International Journal of Environmental Research and Public Health 18, no. 23: 12832. https://doi.org/10.3390/ijerph182312832
APA StyleAli, L., Khan, S., Shah, S. J., Ullah, A., Ashraf, H., Ahmad, M., Begum, A., Han, H., Ariza-Montes, A., Araya-Castillo, L., Khan, A. U., Anas, M., & Khan, A. M. (2021). Road and Transportation Lead to Better Health and Sustainable Destination Development in Host Community: A Case of China Pakistan Economic Corridor (CPEC). International Journal of Environmental Research and Public Health, 18(23), 12832. https://doi.org/10.3390/ijerph182312832