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Club Convergence and Factors of Per Capita Transportation Carbon Emissions in China

Author

Listed:
  • Caiquan Bai

    (The Center for Economic Research, Shandong University, Jinan 250100, China)

  • Yuehua Mao

    (School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China)

  • Yuan Gong

    (School of Economics and Management, Nanchang University, Nanchang 330031, China)

  • Chen Feng

    (School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

China is the largest carbon dioxide emitter in the world, and reducing China’s transportation carbon emissions is of great significance for the world. Using the Chinese provincial data from 2005–2015, this article analyzes the convergence characteristics of per capita transportation carbon emissions in China. It employs the log t regression test method and the club clustering algorithm developed by Phillips and Sul (2007) to separate the provinces and municipalities in China into three convergence clubs with different transportation carbon emission levels and one divergent group. Among them, the divergent group consisted of Beijing and Liaoning; the high carbon emission club consisted of Shanghai and Inner Mongolia; the low carbon emission club consisted of Jiangxi, Henan, Shandong, Hebei, and Sichuan; the medium carbon emission club consisted of the remaining 21 provinces and municipalities. On this basis, this article adopts the Ordered Logit model to explore factors influencing the formation of the convergence clubs. The regression results showed that the per capita transportation carbon emissions in the provinces with a high energy intensity of the transportation sector, a high urbanization level, or a high fixed assets investment intensity of the transportation sector tended to converge into the high carbon emission club.

Suggested Citation

  • Caiquan Bai & Yuehua Mao & Yuan Gong & Chen Feng, 2019. "Club Convergence and Factors of Per Capita Transportation Carbon Emissions in China," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:539-:d:199390
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    References listed on IDEAS

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