Abstract
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.
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].