The analysis of CO2 emissions determinants in accommodation and food service activities using quantile regressions

Surugiu Camelia, PhD, Full Professor (
University of Bucharest, Faculty of Administration and Business
Hornoiu Remus Ion, PhD, Associate Professor (
The Bucharest University of Economic Studies, Faculty of Business and Tourism
Surugiu Marius-Razvan, PhD, Senior Researcher (
Institute of National Economy, Romanian Academy


Purpose: The present research studies the determination elements of carbon dioxide emissions (CO2) in accommodation and food service activities for 26 EU countries over the period 2008-2014. Design/Methodology/Approach: The quantile regression method is used to analyze the relationships between important variables. Main findings: Our main finding suggests that GDP per capita and capital investments are the most important regressors of CO2 emissions in tourism, whilst other two selected variables, i.e. visitor exports and electricity generated from renewable sources become significant under the four quantiles. Originality/Value: According to the results of quantile regression, there is evidence that confirms the Environmental Kuznets Curve (EKC) hypothesis. Conclusions/Recommendations: The results emphasize the need for corrective actions in order to reduce the CO2 emissions in tourism, and thus combating global warming. Therefore, this paper identifies some mitigation strategies that can be implemented by accommodation and food service sectors toward lowering the CO2 emissions in the tourism industry.
Keywords: CO2 emissions; quantile regression; accommodation and food service sectors
JEL classification: L83, Z32

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Romanian Statistical Review 3/2020