Does trade pattern matter for tourism activities? Evidence from the twenty most visited countries

被引:1
作者
Olmez, Fevzi [1 ]
Tarakci, Dogukan [2 ]
机构
[1] Izmir Bakircay Univ, Dept Int Trade & Business, TR-35000 Izmir, Turkiye
[2] Istanbul Aydin Univ, Dept Int Trade & Finance, TR-34295 Istanbul, Turkiye
来源
EUROPEAN JOURNAL OF TOURISM RESEARCH | 2024年 / 37卷
关键词
International Tourism; International Trade; Trade and Tourism Flows; Bootstrap Panel Causality; INTERNATIONAL TOURISM; ECONOMIC-GROWTH; HETEROGENEOUS PANEL; EMPIRICAL-EVIDENCE; CAUSALITY; ENERGY;
D O I
10.54055/ejtr.v37i.3253
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study aims to investigate the relationship between international tourism and total trade, including exports and imports, for the twenty most visited countries. In order to accurately assess the relationship, the study employs the Emirmahmutoglu and Kose (2011) causality analysis, which accounts for cross-sectional dependency and heterogeneity. The empirical results show a unidirectional causality running from total trade, exports, and imports to international tourist arrivals for Germany, India, Mexico, and the Netherlands. Conversely, the causality runs from international tourist arrivals to total trade, exports, and imports for Portugal, Russia, and Spain (except imports). Additionally, a bidirectional causality link between international trade and tourism is found for China, indicating that both tourism and trade mutually reinforce each other. These results highlight the importance of considering the direction of causality in the relationship between tourism and trade, and developing targeted policiesthat take into account the unique characteristics of each country
引用
收藏
页数:18
相关论文
共 39 条
[1]  
[Anonymous], 2010, The economics of sustainable tourism, routledge critical studies in tourism, business and management
[2]  
[Anonymous], 2010, International Journal of Economics and Finance
[3]  
[Anonymous], 2020, International Tourism highlights, 2020 edition, DOI DOI 10.18111/9789284422456
[4]   International tourism demand, number of airline seats and trade triangle: Evidence from New Zealand partners [J].
Balli, Hatice Ozer ;
Balli, Faruk ;
Tsui, Wai Hong Kan .
TOURISM ECONOMICS, 2019, 25 (01) :132-144
[5]  
Brahmbhatt J, 2013, PROCEEDINGS OF THE 2013 IEEE 2ND INTERNATIONAL NETWORK SCIENCE WORKSHOP (NSW), P74, DOI 10.1109/NSW.2013.6609197
[6]   Movements of People for Movements of Goods? [J].
Brau, Rinaldo ;
Pinna, Anna Maria .
WORLD ECONOMY, 2013, 36 (10) :1318-1332
[7]   A parametric approach to the estimation of cointegration vectors in panel data [J].
Breitung, J .
ECONOMETRIC REVIEWS, 2005, 24 (02) :151-173
[8]   THE LAGRANGE MULTIPLIER TEST AND ITS APPLICATIONS TO MODEL-SPECIFICATION IN ECONOMETRICS [J].
BREUSCH, TS ;
PAGAN, AR .
REVIEW OF ECONOMIC STUDIES, 1980, 47 (01) :239-253
[9]   Panel cointegration analysis of relationship between international trade and tourism: Case of Turkey and silk road countries [J].
Caliskan, Ugur ;
Saltik, Isil Arikan ;
Ceylan, Resat ;
Bahar, Ozan .
TOURISM MANAGEMENT PERSPECTIVES, 2019, 31 :361-369
[10]  
Chaisumpunsakul W., 2018, Kasetsart Journal of Social Sciences, V39, P393, DOI 10.1016/j.kjss.2017.06.007