This study examines the interaction between environmental indicators and international tourism at the regional level and highlights the importance of environmental indicators regarding sustainable tourism development. This regional-level correlational analysis addresses environmental indicators and their relationship with global sustainable development, considering economic and mobility factors in specific countries. Various statistical techniques are used to examine how tourism arrivals, expenditures, and income relate to environmental indicators. Indicators concerning the environment, clean energy, mobility, and demographic variables from 141 countries between 2019 and 2021 are analysed. Mild negative correlations are found between international tourism expenditures and income and renewable energy consumption or access to fuels. The number of tourism arrivals shows positive correlations with access to clean technologies or electricity but mild negative correlations with renewable energy consumption and population density. The selected multiple linear regression model for tourism arrivals includes two significant variables: renewable energy consumption and population density.
No takes yet. Share an insight, caveat, or question.
Gutiérrez et al. (2024) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: