Tourism and Financial Development: Granger Causality Analysis on Mediterranean Countries with a Panel Data Approach

Tourism has increasingly become one of the key drivers of economic growth and foreign exchange earnings for developing economies. The relationship between financial development and tourism has attracted growing academic interest, particularly in recent years. This study aims to examine the causal relationship between financial development and tourism indicators in Mediterranean countries. To this end, a panel dataset for 13 Mediterranean countries covering the period 1995–2020 was constructed using annual data. The variables selected for this study include the number of international tourists, tourism revenues, tourism expenditures, and the financial development index. In this study, the cross-sectional dependence of the data and heterogeneity at the country level were taken into account, and the Kónya bootstrap panel causality approach was chosen. The findings of this study indicate a bidirectional causal relationship between financial development and tourism revenues at the panel level; however, despite country-specific relationships, no significant causal relationship was found across the panel as a whole for tourist receipts or tourism expenditures. The results of the study indicate that the tourism–financial development relationship must be analyzed in light of country-specific dynamics. In this regard, the study contributes to the existing literature through its multidimensional examination of tourism indicators and country-specific causality analysis, thereby providing valuable policy implications for Mediterranean countries.

Authors

Institutions

Publication Details

Journal
Tourism and Hospitality
Published
2026-09-16
DOI
https://doi.org/10.3390/tourhosp7090307
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Tourism and Financial Development: Granger Causality Analysis on Mediterranean Countries with a Panel Data Approach

Günay Özcan, Meral İş, Soner Arslan
Tourism and Hospitality
Diverse Aspects of Tourism Research
article

Tourism and Financial Development: Granger Causality Analysis on Mediterranean Countries with a Panel Data Approach

Günay Özcan, Meral İş, Soner Arslan
article en

Abstract

Tourism has increasingly become one of the key drivers of economic growth and foreign exchange earnings for developing economies. The relationship between financial development and tourism has attracted growing academic interest, particularly in recent years. This study aims to examine the causal relationship between financial development and tourism indicators in Mediterranean countries. To this end, a panel dataset for 13 Mediterranean countries covering the period 1995–2020 was constructed using annual data. The variables selected for this study include the number of international tourists, tourism revenues, tourism expenditures, and the financial development index. In this study, the cross-sectional dependence of the data and heterogeneity at the country level were taken into account, and the Kónya bootstrap panel causality approach was chosen. The findings of this study indicate a bidirectional causal relationship between financial development and tourism revenues at the panel level; however, despite country-specific relationships, no significant causal relationship was found across the panel as a whole for tourist receipts or tourism expenditures. The results of the study indicate that the tourism–financial development relationship must be analyzed in light of country-specific dynamics. In this regard, the study contributes to the existing literature through its multidimensional examination of tourism indicators and country-specific causality analysis, thereby providing valuable policy implications for Mediterranean countries.

Tourism and HospitalityVol. 7(9)
Necmettin Erbakan University (TR), Karamanoğlu Mehmetbey University (TR)
Decent work and economic growth
Openalex Percentile: Top 4%
Diverse Aspects of Tourism Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.