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Mokslo publikacijos
2018-06-01

Estimation and Factor Decomposition of Carbon Emissions in China’s Tourism Sector

Based on data from 2000-2015, this study estimated the carbon emissions of China’s tourism-related traffic, ac-commodation, and tourism activities. To quantify the factors governing tourism carbon emissions, this study em-ployed the logarithmic mean Divisia index (LMDI). Furthermore, simultaneous equations models were applied to determine the impact of tourism volume, economic growth, and technological progress on tourism-related carbon emissions. The results showed that carbon emissions are continuously increasing, with tourism-related traffic being the main contributor to total carbon emissions in the tourism sector and private cars being the major source of traffic-related carbon emissions. LMDI and simultaneous equations analysis revealed that tourism volume was the main driving force behind the increase in tourism-related carbon emissions, whereas energy intensity and structure effects were less significant factors influencing the growth rate of carbon emissions in China’s tourism sector.

 

Key words: energy consumption; carbon emissions; tourism economy.

 

http://ekorozwoj.pol.lublin.pl/no26/l.pdf

 

Chen, J.; Zhao, A.; Zhao, Q.; Song, M.; Baležentis, T.; Štreimikienė, D. 2018. Estimation and Factor Decomposition of Carbon Emissions in China’s Tourism Sector = Szacowanie poziomu emisji i czynników rozkładu dwutlenku węgla w chińskim sektorze turystycznym, In Problemy Ekorozwoju – Problems of Sustainable Development 2018, Vol. 13, No 2, 91-101,  ISSN 1895-6912 [Scopus; Web of Science - Social Science Index; Web of Science].

 

SNIP 0.617

European Academy of Science and Arts, Salzburg.

 




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