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EN
The aim of this work is to demonstrate the relationship between the level of hopelessness of students in tourism education and their desire to make a career in tourism. The data was collected from bachelor-level students in Sinop, a city at the top of Turkey’s life satisfaction and happiness index, by using a survey technique. In order to describe the data collected, frequency and arithmetic mean tests were used, whereas t-tests and variance analysis were used to determine differences between variables, and correlation was used to determine the relationship. As a result of the research, it was found that there is a negative relationship between the desire to make a career in tourism and level of hopelessness amongst the students.
EN
The tourism industry significantly contributes to a country’s economic growth and creates a positive image of the destination. This study assesses the impact of corruption on international tourism demand. It employs two-dimensional analyses using the gravity model and a pooled ordinary least square estimator to provide a unique recognition of international tourism demand. The study utilized a conditional quantile regression technique to analyze a dataset of 200 destination countries from 1995 to 2022. The empirical results demonstrate a mixed effect of corruption on international tourism demand. The analysis reveals a non-linear relationship between corruption and international tourism demand, with the inverted-U relationship being statistically significant only at the 50th–75th quantiles and not holding at the upper and lower quantiles. The research confirms that income has a positive impact on tourism across quantiles, but the impact is disproportionate. The sub-period of 2006–2022 experienced a significant decline in gross domestic product (GDP) due to the global financial crisis and its aftershocks, which severely impacted the attractiveness of destination countries for tourists. These valuable insights can inform national tourism policies and businesses.
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