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Journal of Economic Theory and Econometrics
Journal of the Korean Econometric Society
How Well Do the Pre-stated Intentions Predict Actual Visit Behaviors for Regional Attractions?
Vol.36, No.1, March 2025, 77–110
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Sangkon Park
(Korea Culture and Tourism Institute)
Wonho Song
(Chung-Ang University)
Hyoungjong Kim
(Korea Culture and Tourism Institute)
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Abstract
This article examines the extent to which survey respondents’ stated intentions to visit regional attractions predict their actual visit behaviors. To evaluate this relationship empirically, the article constructs a unique dataset that tracks the same respondents for three consecutive years and records the change of intentions over time and their actual visit behaviors. The empirical results show that intentions strongly predict visiting behaviors even though intentions change significantly over time. Moreover, there are substantial differences in the factors that influence intentions and behaviors, suggesting that analyzing intentions data alone without behavior data may be misleading. The article presents further regression results that verify the robustness of our findings with various regional attractions such as amusement parks, beaches, and forests. The implications of these results are consistent with the article’s main findings.
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Keywords
Demand forecasting, intention-behavior gap, logistic regression, predictability. |
JEL classification codes
C23, D91, P25, L83, Z32. |
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