SPORT ADVENTURE MODEL FOR SUSTAINABLE GREEN TOURISM
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Abstract
The objectives of this research were to 1) observe the potential of sport adventure model for sustainable green tourism, 2) develop sport adventure model for sustainable green tourism, and 3) study the efficient relationship of sport adventure model for sustainable green tourism. The potential survey interview form was used to interview 3 government executives, 3 academics, 3 tour operators, 3 adventure tour guides and 3 community representatives, totaling 15 people. The model was drafted and developed with an assessment form. The quality of the equipment was reviews by 3 experts. IOC = 0.84, Data were collected from 40 experts and was studied the relationship effectiveness of sport adventure model for sustainable green tourism. Data were analyzed using basic statistics. With the program G* Power, a sample of 400 people was collected with questionnaire for all 7 aspects of 35 items, checking the quality of the tools with 3 experts, IOC = 0.81 and the confidence value of the questionnaire (Try out) = 0.89. Data analysis, It average analysis standard deviation statistical difference by t-test and (F-test), correlation by simple correlation (Simple Correlation) and regression analysis (Regression Analysis) with statistical significance .05. The findings were found that the 7 aspects of the sustainable green tourism sport adventure model when used to develop the overall model had a high level of opinions ( = 4.23, S.D. = 0.63) and the green activities (Green Activity) has a high level of opinions (
= 4.27, S.D. = 0.71), followed by Green Service with a high level of opinions (
= 4.24, S.D. = 0.69) and social responsibility. The environment (Green Plus) had a high level of opinions. (
= 4.23, S.D. = 0.56) Green heart was at a high level (R = .748), 56.00 percent predictable, green travel patterns were at a high level (R = .829), 68.70 percent predictable, and green tourist attractions were at a high level (R = .857), 73.50 percent predictable, green activities were at a high level (R = .839), 70.40 percent predicted, community green was at a high level (R = .820), 67.20 percent predicted, and green services were at a high level (R = .825), 68.10 percent predictable and social and environmental responsibility at a high level (R = .841), 70.70 percent predictable.
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