The paper examines the nexus between tourism and economics of transportation with a new asymmetric panel causality test, developed by Hatemi-J et al (2015) for BRIC-T countries during 1995 and 2017. After some preliminary (homogeneity, cross-section dependence, unit root tests) and co-integration test some selected variables such as real exchange rate, inflation rate and trade are added to the empirical model. The purpose here is to determine the contribution of macroeconomic indicators on tourism growth.
The results show that there is a co-integration between number of tourist arrivals and tourism receipts as well as transportation costs. Also, negative cumulative tourism shock causes positive tourist arrivals shocks and positive cumulative tourism receipts shocks cause negative transportation costs. Hence, there is a causality between variables only in these conditions. Contribution of inflation rate and number of tourist arrivals have the biggest effect on tourism growth. We may say that from a macroeconomic perspective demand side is more dominant than supply side of tourism sector.
The results show that there is a co-integration
between number of tourist arrivals and tourism receipts as well as
transportation costs. Also, negative cumulative tourism shock causes positive
tourist arrivals shocks and positive cumulative tourism receipts shocks cause
negative transportation costs. Hence, there is a causality between variables
only in these conditions. The macroeconomic determinants of tourism growth;
inflation rate and number of tourist arrivals (demand side) have the biggest
effect on it.
The paper examines the nexus between tourism and economics of transportation with a new asymmetric panel causality test, developed by Hatemi-J et al (2015) for BRIC-T countries during 1995 and 2017. After some preliminary (homogeneity, cross-section dependence, unit root tests) and co-integration test some selected variables such as real exchange rate, inflation rate and trade are added to the empirical model. The purpose here is to determine the contribution of macroeconomic indicators on tourism growth.
The results show that there is a co-integration between number of tourist arrivals and tourism receipts as well as transportation costs. Also, negative cumulative tourism shock causes positive tourist arrivals shocks and positive cumulative tourism receipts shocks cause negative transportation costs. Hence, there is a causality between variables only in these conditions. Contribution of inflation rate and number of tourist arrivals have the biggest effect on tourism growth. We may say that from a macroeconomic perspective demand side is more dominant than supply side of tourism sector.
The results show that there is a co-integration between number of tourist arrivals and tourism receipts as well as transportation costs. Also, negative cumulative tourism shock causes positive tourist arrivals shocks and positive cumulative tourism receipts shocks cause negative transportation costs. Hence, there is a causality between variables only in these conditions. The macroeconomic determinants of tourism growth; inflation rate and number of tourist arrivals (demand side) have the biggest effect on it.
Primary Language | English |
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Subjects | Economics |
Journal Section | Articles |
Authors | |
Publication Date | July 8, 2019 |
Acceptance Date | May 8, 2019 |
Published in Issue | Year 2019 Volume: 1 Issue: 3 |