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The Impact of Tourism Quality on Economic Development and Environment: Evidence from Mediterranean Countries

doi: 10.3390/su11082296
This paper is the first of its kind to measure the income level of a country’s tourist arrival and empirically examine its impact on economic growth and environmental pollution in a sample of eight Mediterranean countries. The paper undertakes annual data from 1995 to 2014 and employs quantile regression models, autoregressive distributed lag (ARDL) estimations, and a heterogeneity causality test. The empirical results show that the income level of a country’s tourist arrival, across all quantiles, plays an important role in promoting economic development. However, the role of the income level of a country’s tourist arrival on environmental pollution varies with the changes in quantiles. More specifically, income level of a country’s tourist arrival has a positive impact on environmental pollution for the lower quantiles, while it has a negative impact for higher quantiles. The findings from panel ARDL models confirm that the income level of a country’s tourist arrival has positive and negative impacts on economic growth and emissions, respectively. Given these results, these findings provide information to take the necessary actions to ensure sustainable tourism development, i.e., the expansion of the tourism industry without harming the environment in the Mediterranean countries.
- University of Dundee United Kingdom
- Zhejiang University of Science and Technology China (People's Republic of)
- INSTITUTE OF WORLD ECONOMICS AND POLITICS CHINESE ACADEMY OF SOCIAL SCIENCES China (People's Republic of)
- Weinan Normal University China (People's Republic of)
- Institute of World Economics and Politics China (People's Republic of)
/dk/atira/pure/subjectarea/asjc/2100/2105, quantile regression models, Monitoring, 330, /dk/atira/pure/subjectarea/asjc/2300/2308, TJ807-830, TD194-195, Panel ARDL estimations, Environmental pollution, Renewable energy sources, income level of tourist arrivals, name=Renewable Energy, Quantile regression models, GE1-350, Mediterranean region, Economic growth, Planning and Development, Sustainability and the Environment, Policy and Law, Environmental effects of industries and plants, name=Management, panel ARDL estimations, Income level of tourist arrivals, /dk/atira/pure/subjectarea/asjc/3300/3305, name=Geography, economic growth, Environmental sciences, environmental pollution
/dk/atira/pure/subjectarea/asjc/2100/2105, quantile regression models, Monitoring, 330, /dk/atira/pure/subjectarea/asjc/2300/2308, TJ807-830, TD194-195, Panel ARDL estimations, Environmental pollution, Renewable energy sources, income level of tourist arrivals, name=Renewable Energy, Quantile regression models, GE1-350, Mediterranean region, Economic growth, Planning and Development, Sustainability and the Environment, Policy and Law, Environmental effects of industries and plants, name=Management, panel ARDL estimations, Income level of tourist arrivals, /dk/atira/pure/subjectarea/asjc/3300/3305, name=Geography, economic growth, Environmental sciences, environmental pollution
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).78 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
