Dynamic threshold effects of corruption on tourism demand

A nonlinear relationship

Bibliographic Data

ID24021549
AuthorsMichael Polemis (0000-0003-2223-0547, University of Piraeus, corresponding author)
Year2026
Volume7
Issue2
Pages100229-100229
Publication date2026-08-01
Open AccessYes
TypeARTICLE
VenueAnnals of Tourism Research Empirical Insights (JOURNAL)
Journal identifiersISSN: 2666-9579 • E-ISSN: 2666-9579
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.annale.2026.100229
OpenAlexW7172027439
LanguageEN
References cited20

This note investigates the complex relationship between corruption and tourism demand, employing a dynamic panel threshold model in the spirit of Seo and Shin (2016). Using a panel dataset of international tourism destinations over the period 2008–2022 and two corruption measures reflecting actual control of corruption and perceived corruption in the public sector, we unravel a non-monotonic relationship between corruption and tourism demand. The relevant curvature (‘ U-shaped ’ or ‘ Inverted U-shaped ’) depends on the corruption indicator used in the analysis. Policymakers should account for the nonlinear effects to ensure that anti-corruption measures effectively boost tourism demand alongside necessary institutional reforms.

Government (linguistics) · Language change · Nonlinear system · Tourism · Corruption and Economic Development · Culture, Economy, and Development Studies · Diverse Aspects of Tourism Research

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