Develop Macau as a Sustainable Tourism Destination in terms of Hotel industry
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| Summary Independent variable CPI (Ci R Square Sig B t Dependent variable Number of hotels & guesthouses 0.835 0.000 2.187 13.136 1.403 Independent variable Hotel staff average income (Ci R Square Sig B t Dependent variable Number of hotels & guesthouses 0.822 0.000 -4,781.838 12.545 127.386 Independent variable Inflation rate (Ci R Square Sig B t Dependent variable Number of hotels & guesthouses 0.799 0.000 -46.522 11.612 0.655 Independent variable GDP (Ci R Square Sig B t Dependent variable Number of hotels & guesthouses 0.767 0.000 -75,909.555 10.581 1,307.825 3. Number of hotel & guesthouses to Environmental factor a) Electricity consumption (E) Independent variable Electricity consumption R Square Sig B t Dependent variable Number of hotels & guesthouses 0.594 0.000 -1,345.067 7.058 25.438 The electricity consumption also has positive relationship with the increase number of hotels & guesthouse. Each increase number of hotels & guesthouse has an increase unit of electricity consumption by 25.438. 59.4% can be represented by the variation of the number of hotels & guesthouse to the electricity consumption. The result is highly significant in which the sig value is 0.000 and t-test show 7.058 (much higher than 1.96). a) Air pollution (no relationship) (E) Independent variable Air pollution R Square Sig B t Dependent variable Number of hotels & guesthouses 0.004 0.731 36.657 0.347 0.136 The regression between air pollution and number of hotels & guesthouses is not significant which t-test shows it is inside the range of + 1.96. Sig value is 0.731 which is larger than 0.05 and it is not significant and not representative. Therefore, we could understand that the number of hotels and guesthouses has no DSEC – Research Competition Developing Macau as a sustainable tourism destination in terms of hotel industry. 45 relationship with air pollution and we have to accept the null hypothesis, which it needs further research on this topic. b) Noise pollution (E) Regression: Summary Independent variable Noise pollution R Square Sig B t Dependent variable Number of hotels & guesthouses 0.692 0.000 -133.861 8.739 2.089 The noise pollution problem also got a positive relationship which means an increase in number of hotels & guesthouses will have 2.089 unit increases in noise pollution. The result is significant which the sig value is 0.000 and t-test is much higher than 1.96. R square is 69.2% which means variation of noise pollution can be explained by number of hotels & guesthouses. DSEC – Research Competition Developing Macau as a sustainable tourism destination in terms of hotel industry. 46 Download 1.19 Mb. Share with your friends:
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