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Investigating the Factors Influencing the Decoupling of Transport-Related Carbon Emissions from Turnover Volume in China

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  • Xue-ting Jiang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    CAS Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Min Su

    (School of Economic & Management, China University of Petroleum (East China), No. 66 West Changjiang Road, Qingdao 266580, China)

  • Rongrong Li

    (School of Economic & Management, China University of Petroleum (East China), No. 66 West Changjiang Road, Qingdao 266580, China)

Abstract

With the boom of vehicles, especially the dramatic rise of private car ownership, in China, transport CO 2 emission in China has surged. However, China has been taking the responsibility to cut down carbon emissions and to make positive efforts towards technology innovations in the transport sector. Breaking the link between transport carbon emissions and transport turnover capacity for the past decades should be analyzed. The paper tested the decoupling degree and ranked its potential determinants for every transport mode in consideration of specific transport mode characteristics. We extended the original Kaya identity to make the factor analysis more pertinent to the analysis of transport-related CO 2 emissions. Besides, we combined the decomposition technique with decoupling analysis, decomposing the transport decoupling index into five distinct aspects to detect the key drivers of the decoupling of transport-related CO 2 emissions from transport turnover volume. Moreover, we analyzed the relationship between transport-related CO 2 emission and transport output, which also offers a novel perspective on transport and corresponding environmental research. The results uncovered that a weak decoupling state appeared between 1990–1995 and 2000–2010 in China’s transport sector. Transport energy efficiency exerted the most significant impact in accelerating the decoupling of transport-related CO 2 emissions from turnover volume for all transport modes while the energy mix effect impeded the decoupling evolution in most observed periods. Railway transport turnover and rail locomotives shared rises boosted by decoupling evolution, while vehicular transport showed adverse effects. The rise of the transport facilities’ shares of railways, waterways, and airways also advanced the decoupling evolution. Hence, policies of switching travel modes and establishing a “smart growth” pattern for private vehicles should be considered.

Suggested Citation

  • Xue-ting Jiang & Min Su & Rongrong Li, 2018. "Investigating the Factors Influencing the Decoupling of Transport-Related Carbon Emissions from Turnover Volume in China," Sustainability, MDPI, vol. 10(9), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3034-:d:165923
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