The survey data Set for tourism marketing and economic sustainability of tourist destinations: Perspective of Bale Mountains National park.
Description
The data set is about tourism marketing and the economic sustainability of tourist destinations in Ethiopia, particularly from Bale Mountains National Park's perspective. Both an explanatory and a descriptive research approach were utilized to achieve the aims of the research. Moreover, mixed research approaches were employed to describe and explain qualitative answers from interviews as well as generalize and interpret descriptive and inferential statistics using a quantitative approach. Primary data was collected from 143 respondents using the 5-point Likert scale questionnaire. However, out of the total of 143 questionnaires distributed, only 131 (91.6%) were valid and used for analysis. After the collection, the data was coded, recorded, and entered into SPSS version 25 for assessment. Then, statistical tools such as frequency, percent, standard deviation, and mean were used to describe the data. The result showed that among the independent variables, the promotion had the strongest impact on economic sustainability, possibly at a high level (β =.528, Sig. =.000), followed by product (β=.359, Sig. =.000), price (β=.304, Sig. =.001), and place (β=.222, Sig. =.042), all of which were significant at the P<.05 level. The hypothesis testing reveals that there is a substantial and positive relationship between the economic sustainability of the destinations and tourism marketing, with a value of (P= 0000<.05) at a 95% confidence level. Consequently, all alternative hypotheses are supported, and the null hypothesis is rejected.
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To reach the goals of the research, both an explanatory and a descriptive research method were used. Moreover, mixed research approaches were employed to describe and explain qualitative answers from interviews as well as generalize and interpret descriptive and inferential statistics using a quantitative approach. Primary data was collected from 143 respondents using the 5-point Likert scale questionnaire. However, out of the total of 143 questionnaires distributed, only 131 (91.6%) were valid and used for analysis. After the collection, the data was coded, recorded, and entered into SPSS version 25 for assessment. Then, statistical tools such as frequency, percent, standard deviation, and mean were used to describe the data. Moreover, multiple linear regression and Pearson correlation were utilized to show the correlation between tourism marketing and the economic sustainability of tourist destinations.