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This study analyse the relationship between tourists satisfaction with destination loyalty in Alba County. The research is based on data collected from a market research contract in the tourism sector in Alba County and the period submitted for analysis is 2013 – 2015, when there have been identified 365 tourists. Regarding the methodology, one can notice that into Equation Estimation, Least Squares Options, we selected “White” for Coefficient covariance matrix. Also, we pointed out Standard deviation for Type weights options, and for Weighted series we selected Log(Expenditure). According to log-log regression model estimation output, 18 predictors determined a decrease (i.e. almost 55% from total predictors) and 15 independent variables determined an increase in the tourists’ number of visits. In terms of the dichotomous variables related to tourist satisfaction, it was highlighted that ten of exogenous cause a positive reaction in Number of Visits and ten of them a negative one. The elasticity of Number of Visits with respect to Log(Expenditure) is about -0.0959, suggesting that if the level of expenditure goes up by 10 percent, on average, the tourists’ number of visits goes down by about 1 percent. Thus, Number of Visits is very responsive to changes both variables related to tourist satisfaction and in personal tourist’s expenditure.
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Muntean et al. (2017) studied this question.
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