Does climate policy uncertainty affect tourism demand? Evidence from time-varying causality tests

被引：20

作者：

Apergis, Nicholas ^{[1
]}

Gavriilidis, Konstantinos ^{[2
]}

Gupta, Rangan ^{[3
]}

机构：

[1] Univ Piraeus, Econ, Piraeus, Greece

[2] Univ Stirling, Finance, Stirling, Scotland

[3] Univ Pretoria, Econ, Pretoria, South Africa

来源：

TOURISM ECONOMICS | 2023年 / 29卷 / 06期

关键词：

climate policy uncertainty; climate policy uncertainty index; air-travel destinations; US; structural breaks; time-varying causality test; C32; C51; L8; ENERGY-CONSUMPTION; GRANGER CAUSALITY; CHANGE VULNERABILITY; ECONOMIC-GROWTH; RESILIENCE; EMISSIONS; ADAPTATION; ARRIVALS; PANEL;

D O I：

10.1177/13548166221110540

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This study examines whether climate policy uncertainty affects the propensity of people to travel. To do so, we employ the Climate Policy Uncertainty (CPU) index and US air-travel data to eight regional overseas destinations for the period 2000-2019. Using time-varying causality tests to deal with the structural breaks that exist in the relationship between CPU and US air travel, we find that CPU is a major determinant of air-travel demand to all destinations examined. The results are robust when we control for macroeconomic factors, uncertainty and geopolitical risks. The findings have important implications for destination countries and tourism professionals.

引用

页码：1484 / 1498

页数：15

共 56 条

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