Towards a more accurate assessment of the tourism-corruption nexus

ABSTRACT

This note sheds light on methodological concerns regarding the assessment of the relationship between tourism and corruption. For the most part, researchers have utilized regression-based techniques to assess the impact of corruption on tourist inflows, without entertaining the possibility of feedback from tourist inflows to corruption. Alternatively, we present dynamic cointegrated error-correction modeling as a superior methodology for examining the potential bi-directionality of short- and long-run causal relations between corruption and tourist inflows.

KEYWORDS:

• Corruption
• tourism
• cointegration
• error correction modeling
• measurement

Acknowledgement

The authors would like to thank Dr. Ali F Darrat for sharing his expertise on this topic and for his unwavering support and guidance.

Disclosure statement

No potential conflict of interest was reported by the author(s).