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The role of tourism in environmental pollution: evidence from Malta

handle: 11467/6089
This article searches the effects of tourism development onemission pollutants in Malta using (1) the autoregressivedistributed lag approach and (2) two datasets which are annualdata from 1971 to 2018 and quarterly data from 1990Q1 tı2018Q4 as per data availability. Findings confirm that tourism,energy usage, and carbon dioxide emissions are in a long-termequilibrium relationship; carbon emissions converge rapidlytowards the long-term equilibrium path through tourism andenergy consumption channels. Findings also reveal that growthin tourism results in significant changes in energy consumptionand, therefore, in CO2emissions. Tourism has positive effects oncarbon emissions in shorter periods. Still, these effects turn out tobe harmful in the more extended periods beyond the peak pointof carbon emissions which correspond to 1,063,213 milliontourists. Therefore, this study strongly confirms the existence ofan inverted U-shaped Environmental Kuznets Curve hypothesisfor Malta.
- Istanbul Commerce University Turkey
- Eastern Mediterranean University Cyprus
- Eastern Mediterranean University Cyprus
- Istanbul Commerce University Turkey
- University of Kyrenia Cyprus
Tourism development;climate change;Environmental pollution;energy demand; Malta
Tourism development;climate change;Environmental pollution;energy demand; Malta
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).14 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 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
