This paper investigates the effects of uncertainty on tourism spending (direct sales) by USA domestic tourists over the period of 1998Q1–2015Q4. For this purpose, for the first time, the Economic Policy Uncertainty index was used as an independent variable in tourism demand analysis models. Unit root and cointegration tests are applied to account for unknown structural breaks. The empirical findings indicate that a higher level of Economic Policy Uncertainty leads to significant declines in tourism spending in the long run. Copyright © 2016 John Wiley & Sons, Ltd.

The global economic outlook is more uncertain than ever before and sensitive to uncertainties related to a variety of economic policies decisions of all stakeholders and governments. These perceived uncertainties may be the culprit in shrinking the size of overall economic activity. Under increasing uncertainties, travel and vacation plans of consumers can be canceled or postponed. Therefore, policy-related economic uncertainties are expected to affect tourism demand beyond well-established economic and noneconomic factors. In this study, we explore the efficacy and the impact of the economic policy uncertainty (EPU) index in predicting the tourism demand on international tourist arrivals (a measure of tourism demand) to the United States from Mexico and Canada over the period of January 1996–September 2017. The findings of the study reveal that EPU is a significant predictor as increases in the EPU index lead to decreases in tourism demand to the United States. Canadian tourists seem to be more sensitive to EPUs. Increases in the EPU index cause them to reduce Canadians’ vacations to the United States proportionally more than the Mexicans. To enhance the explanatory power of current models, the uncertainty can be a theoretically significant construct thus needs to be included when calibrating demand models.

No abstract

This paper aims to investigate the effects of economic uncertainty on the Japanese tourists who travelled to the United States (USA) over the period 1996Q1–2015Q1. To achieve this aim, for the first time the Economic Policy Uncertainty index has been used as an independent variable in international tourism demand analysis models. The unit root and the cointegration tests have been applied to account for unknown structural breaks. Empirical findings indicate that one standard deviation increase in the Economic Policy Uncertainty index leads to a 4.7% decrease in the number of Japanese tourist arrivals to the USA in the long run.

No abstract

No abstract

No abstract

This paper analyzes the legitimacy of the Environmental Kuznets Curve (EKC) hypothesis for a group of seven (G7) countries over the period 1995–2015. In addition to testing the EKC speculation, the authors also would like to understand the ways in which increases in renewable energy consumption and the international tourism receipt affect the CO2 emissions in G7 countries, because the energy and tourism sectors may have considerable direct impacts on CO2 emissions. In this investigation, a panel bootstrap cointegration test and an augmented mean group (AMG) estimator were applied. The empirical findings indicate that the tourism-induced EKC hypothesis is valid only for France. Additionally, it was detected that a rise in renewable energy consumption has a negative (reduction) impact on CO2 emissions in France, Italy, the UK, and the US. However, an increase in the receipt of international touristm has a positive (additional) impact on Italy’s CO2 emissions. Hence, this country’s decision-makers should re-review their tourism policy to adopt a renewable-inclusive one for sustainable tourism and the environment.