Estimation and Factor Decomposition of Carbon Emissions in China’s Tourism Sector
Jiandong Chen
School of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu, Sichuan 611130, PR China (China)
Aifeng Zhao
Business School, University of Shanghai for Science and Technology, Shanghai 200093, PR China (China)
Qiuping Zhao
School of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu, Sichuan 611130, PR China (China)
Malin Song
songmartin@163.comSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, Anhui 233030, PR China (China)
Tomas Baležentis
Lithuanian Institute of Agrarian Economics, Kudirkos Str. 18-2, LT-03105 Vilnius (Lithuania)
Dalia Streimikiene
Lithuanian Institute of Agrarian Economics, Kudirkos Str. 18-2, LT-03105 Vilnius (Lithuania)
Abstract
Based on data from 2000-2015, this study estimated the carbon emissions of China’s tourism-related traffic, accommodation, and tourism activities. To quantify the factors governing tourism carbon emissions, this study employed 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.
Keywords:
energy consumption, carbon emissions, tourism economyReferences
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Authors
Jiandong ChenSchool of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu, Sichuan 611130, PR China China
Authors
Aifeng ZhaoBusiness School, University of Shanghai for Science and Technology, Shanghai 200093, PR China China
Authors
Qiuping ZhaoSchool of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu, Sichuan 611130, PR China China
Authors
Malin Songsongmartin@163.com
School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, Anhui 233030, PR China China
Authors
Tomas BaležentisLithuanian Institute of Agrarian Economics, Kudirkos Str. 18-2, LT-03105 Vilnius Lithuania
Authors
Dalia StreimikieneLithuanian Institute of Agrarian Economics, Kudirkos Str. 18-2, LT-03105 Vilnius Lithuania
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