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

Jiandong Chen; Aifeng Zhao; Qiuping Zhao; Malin Song; Tomas Baležentis; Dalia Streimikiene

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Published: Jul 2, 2018

Issue Vol. 13 No. 2 (2018)

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Local Currencies as an Instrument for Implementing the Concept of Sustainable Development
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Estimation and Factor Decomposition of Carbon Emissions in China’s Tourism Sector
Jiandong Chen, Aifeng Zhao, Qiuping Zhao, Malin Song, Tomas Baležentis, Dalia Streimikiene

91-101
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Authors

Jiandong Chen

jchen@swufe.edu.cn

School of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu, Sichuan 611130, PR China, China

Aifeng Zhao

janezhao115@163.com

Business School, University of Shanghai for Science and Technology, Shanghai 200093, PR China, China

Qiuping Zhao

1042890508@qq.com

School of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu, Sichuan 611130, PR China, China

Malin Song

songmartin@163.com

School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, Anhui 233030, PR China, China

Tomas Baležentis

songmartin@163.com

Lithuanian Institute of Agrarian Economics, Kudirkos Str. 18-2, LT-03105 Vilnius, Lithuania

Dalia Streimikiene

songmartin@163.com

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 economy

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