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Tourism, Environment, and Growth: A Quantile Regression Analysis

Fuat SEKMEN et al.

Economic Computation and Economic Cybernetics Studies and Research2026https://doi.org/10.24818/18423264/60.1.26.17article
ABDC C
Weight
0.50

What the paper says

This study investigates the environmental effects of tourism revenues by applying the Method of Moments Quantile Regression (MMQREG) to a panel of high-income tourism economies over the period 2005-2020.The results demonstrate that the impact of tourism revenues depends on their measurement.In nominal terms (billion USD), tourism revenues consistently increase carbon emissions across all quantiles.However, when expressed as a share of GDP or total exports, tourism revenues show positive effects at lower quantiles, but negative effects at higher quantiles.Panel causality analysis further reveals a unidirectional causal relationship from tourism revenues as a share of exports to carbon emissions.These findings underscore the importance of variable specification in econometric analysis and highlight the structural role of tourism in shaping environmental outcomes.The policy implications suggest that strategies should be tailored to countries' emission profiles, recognising the heterogeneous impact of tourism on environmental sustainability.

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https://doi.org/https://doi.org/10.24818/18423264/60.1.26.17

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@article{fuat2026,
  title        = {{Tourism, Environment, and Growth: A Quantile Regression Analysis}},
  author       = {Fuat SEKMEN et al.},
  journal      = {Economic Computation and Economic Cybernetics Studies and Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.24818/18423264/60.1.26.17},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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