MONITORING OF THE EUROPEAN TOURISM ECOSYSTEM GREEN TRANSITION

Objective. The objective of the article is to monitor the green transition of the EU tourism ecosystem and determine the progress made in increasing the sustainability of EU tourism with territorial detail. Methods. To achieve the outlined goal, the following methods of empirical and theoretical research are applied: literature review, theoretical generalization (to identify, collect and analyze modern research on greening and sustainable tourism development), statistical research, namely the construction and analysis of dynamic series (to determine the progress achieved in increasing the sustainability of EU tourism with territorial detail using harmonized data and indicators of the EU Tourism Dashboard), tabular method, data visualization (for visual representation and grouping of statistical material, visualization of theoretical provisions). Results. The green transition of the EU tourism ecosystem is monitored using harmonized data and indicators from the EU Tourism Dashboard, which allow to identify positive and negative changes in indicators under the priority area "Green Transition", namely: 1) according to the indicator “Air travel emission intensity’, there is a general gradual trend across the EU-27 of reducing the average amount of CO2 emissions per air passenger; 2) according to the indicator “Tourism greenhouse gas intensity”, a wave-like fluctuation of the studied indicator is established, with alternating peaks and troughs and its overall decrease, which indicates a reduction in the contribution of the tourism ecosystem to greenhouse gas emissions and air pollution; 3) the indicator “Tourism energy intensity” records an increase in energy consumption by the tourism ecosystem, which indicates a decrease in the energy efficiency of the sector; 4) the indicator “Share of trips by train” reveals a low use of environmentally friendly means of transport by tourists and travelers within the EU-27, but with a slight increase; 5) the indicator “Excellent bathing water” shows a high proportion of bathing sites classified as “excellent” in the EU-27 tourism ecosystem, but there is a slight decrease in the indicator; 6) the indicator “Dependence on distant origins” shows a low dependence of the EU-27 tourism ecosystem on foreign tourists arriving from geographically distant destinations; 7) according to the indicator “Environmental labels and schemes”, a negative trend is identified regarding the introduction of EMAS or EU Ecolabel environmental labels in the EU-27.

Authors

Institutions

Publication Details

Journal
VISNYK оf Donetsk National University of Economics and Trade named after Mykhailo Tugan-Baranovsky
Published
2024-12-30
DOI
https://doi.org/10.33274/2079-4819-2024-81-2-95-106
Primary Topic
transportation and logistics systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MONITORING OF THE EUROPEAN TOURISM ECOSYSTEM GREEN TRANSITION

T. V. Kozhukhova, Оксана Чернега, Ganna Gorina
VISNYK оf Donetsk National University of Economics and Trade named after Mykhailo Tugan-Baranovsky
transportation and logistics systems
article

MONITORING OF THE EUROPEAN TOURISM ECOSYSTEM GREEN TRANSITION

T. V. Kozhukhova, Оксана Чернега, Ganna Gorina
article en

Abstract

Objective. The objective of the article is to monitor the green transition of the EU tourism ecosystem and determine the progress made in increasing the sustainability of EU tourism with territorial detail. Methods. To achieve the outlined goal, the following methods of empirical and theoretical research are applied: literature review, theoretical generalization (to identify, collect and analyze modern research on greening and sustainable tourism development), statistical research, namely the construction and analysis of dynamic series (to determine the progress achieved in increasing the sustainability of EU tourism with territorial detail using harmonized data and indicators of the EU Tourism Dashboard), tabular method, data visualization (for visual representation and grouping of statistical material, visualization of theoretical provisions). Results. The green transition of the EU tourism ecosystem is monitored using harmonized data and indicators from the EU Tourism Dashboard, which allow to identify positive and negative changes in indicators under the priority area "Green Transition", namely: 1) according to the indicator “Air travel emission intensity’, there is a general gradual trend across the EU-27 of reducing the average amount of CO2 emissions per air passenger; 2) according to the indicator “Tourism greenhouse gas intensity”, a wave-like fluctuation of the studied indicator is established, with alternating peaks and troughs and its overall decrease, which indicates a reduction in the contribution of the tourism ecosystem to greenhouse gas emissions and air pollution; 3) the indicator “Tourism energy intensity” records an increase in energy consumption by the tourism ecosystem, which indicates a decrease in the energy efficiency of the sector; 4) the indicator “Share of trips by train” reveals a low use of environmentally friendly means of transport by tourists and travelers within the EU-27, but with a slight increase; 5) the indicator “Excellent bathing water” shows a high proportion of bathing sites classified as “excellent” in the EU-27 tourism ecosystem, but there is a slight decrease in the indicator; 6) the indicator “Dependence on distant origins” shows a low dependence of the EU-27 tourism ecosystem on foreign tourists arriving from geographically distant destinations; 7) according to the indicator “Environmental labels and schemes”, a negative trend is identified regarding the introduction of EMAS or EU Ecolabel environmental labels in the EU-27.

VISNYK оf Donetsk National University of Economics and Trade named after Mykhailo Tugan-Baranovsky(2(81) (2024))
Donetsk National University of Economics and Trade named after Mykhailo Tugan-Baranovsky (UA)
Openalex Percentile: Top 74%
transportation and logistics systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.