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The Progressive Correlation Between Carbon Emission, Economic Growth, Energy Use, and Oil Consumption by the Most Prominent Contributors to Travel and Tourism GDPs

Frontiers in Environmental Science 2022 18 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Aarif Mohammad Khan, Asma Basit, Uzma Khan, Muhammad Kamran Khan

Summary

Researchers applied panel autoregressive distributed lag (ARDL) modelling to data from 18 leading tourism-GDP countries spanning 1995-2019, finding that economic growth, energy use, and oil consumption positively drove carbon emissions, while tourist arrivals showed a modest negative association with emissions in both the long and short run.

Travel and tourism have glimpsed a significant and promising implication for economic development. Despite the commendatory implication of tourism, it levies a stringent environmental cost such as environmental degeneration. Hence, this study will incorporate the 18 countries out of the top 20 travel and tourism contributors to economic growth to assess the progressive correlation between tourist arrival, economic growth, energy consumption, and oil consumption on carbon emission by applying panel ARDL spanning from 1995 to 2019. The outcome of the panel ARDL reveals that both periods have witnessed that the endogenous variables have a substantial and positive impact on environmental degradation except for tourism as it indicates −0.22 and −0.48% in the long and short run, having a rate of adjustment as −0.52 toward the equilibrium. The simultaneous quantile regression reveals that in the 50 and 75 percentiles, the effect of tourism has a negative impact, which contradicts the PMG findings. These determinations suggest that the policymakers look for more manageable and environmentally sound tourism and economic growth procedures to safeguard the sustainable environment in the studied countries.

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