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Decoupling and decomposition analysis of carbon emissions in Beijing’s tourism traffic

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  • Huiqiang Ma

    (Shanxi University of Finance and Economics)

  • Jiale Liu

    (Shanxi University of Finance and Economics)

  • Jianchao Xi

    (Chinese Academy of Sciences)

Abstract

Using the calculation method of the United Nations World Tourism Organization (UNWTO), this paper measured the carbon emissions of tourism traffic and their evolution process in Beijing from 2005 to 2017. The Tapio model and Logarithm Mean Divisia Index (LMDI) approach were used to discuss the decoupling relationship between economic development and the change of tourism traffic carbon emissions and the influencing factors. There are six major indicators in our analysis, including (1) tourists scale, (2) per capita tourism consumption level, (3) contribution rate of tourism industry to Gross Domestic Product (GDP), (4) passenger traffic volume per unit GDP, (5) energy consumption per unit passenger traffic volume, and (6) energy structure. The results showed that: the main positive drivers are tourists scale, per capita tourism consumption level and energy consumption per unit of passenger traffic volume. In addition, per unit GDP passenger traffic volume is an effective factor to restrain the growth of carbon emissions. And the economic development of Beijing is developing in step with the change of carbon emissions in Beijing’s tourism traffic. The research results have important theoretical and practical significance for Beijing to formulate emission reduction policies and develop low-carbon economy.

Suggested Citation

  • Huiqiang Ma & Jiale Liu & Jianchao Xi, 2022. "Decoupling and decomposition analysis of carbon emissions in Beijing’s tourism traffic," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5258-5274, April.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:4:d:10.1007_s10668-021-01657-w
    DOI: 10.1007/s10668-021-01657-w
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    Cited by:

    1. Qifan Guan, 2023. "Decomposing and Decoupling the Energy-Related Carbon Emissions in the Beijing–Tianjin–Hebei Region Using the Extended LMDI and Tapio Index Model," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    2. Liyuan Fu & Qing Wang, 2022. "Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption," IJERPH, MDPI, vol. 19(19), pages 1-29, September.

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