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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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    References listed on IDEAS

    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Andrés, Lidia & Padilla, Emilio, 2018. "Driving factors of GHG emissions in the EU transport activity," Transport Policy, Elsevier, vol. 61(C), pages 60-74.
    3. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    4. Qiang Wang, 2014. "China should aim for a total cap on emissions," Nature, Nature, vol. 512(7513), pages 115-115, August.
    5. Diakoulaki, D. & Mandaraka, M., 2007. "Decomposition analysis for assessing the progress in decoupling industrial growth from CO2 emissions in the EU manufacturing sector," Energy Economics, Elsevier, vol. 29(4), pages 636-664, July.
    6. Achour, Houda & Belloumi, Mounir, 2016. "Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method," Transport Policy, Elsevier, vol. 52(C), pages 64-71.
    7. Wang, Qiang & Jiang, Xue-ting & Li, Rongrong, 2017. "Comparative decoupling analysis of energy-related carbon emission from electric output of electricity sector in Shandong Province, China," Energy, Elsevier, vol. 127(C), pages 78-88.
    8. Sobrino, Natalia & Monzon, Andres, 2014. "The impact of the economic crisis and policy actions on GHG emissions from road transport in Spain," Energy Policy, Elsevier, vol. 74(C), pages 486-498.
    9. Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.
    10. Feng, Tian-tian & Yang, Yi-sheng & Xie, Shi-yan & Dong, Jun & Ding, Luo, 2017. "Economic drivers of greenhouse gas emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 996-1006.
    11. Liao, Chun-Hsiung & Lu, Chin-Shan & Tseng, Po-Hsing, 2011. "Carbon dioxide emissions and inland container transport in Taiwan," Journal of Transport Geography, Elsevier, vol. 19(4), pages 722-728.
    12. Greening, Lorna A. & Ting, Mike & Davis, William B., 1999. "Decomposition of aggregate carbon intensity for freight: trends from 10 OECD countries for the period 1971-1993," Energy Economics, Elsevier, vol. 21(4), pages 331-361, August.
    13. Papagiannaki, Katerina & Diakoulaki, Danae, 2009. "Decomposition analysis of CO2 emissions from passenger cars: The cases of Greece and Denmark," Energy Policy, Elsevier, vol. 37(8), pages 3259-3267, August.
    14. Zhang, Zhongxiang, 2000. "Decoupling China's Carbon Emissions Increase from Economic Growth: An Economic Analysis and Policy Implications," World Development, Elsevier, vol. 28(4), pages 739-752, April.
    15. Luo, Xiao & Dong, Liang & Dou, Yi & Li, Yan & Liu, Kai & Ren, Jingzheng & Liang, Hanwei & Mai, Xianmin, 2017. "Factor decomposition analysis and causal mechanism investigation on urban transport CO2 emissions: Comparative study on Shanghai and Tokyo," Energy Policy, Elsevier, vol. 107(C), pages 658-668.
    16. He, Kebin & Huo, Hong & Zhang, Qiang & He, Dongquan & An, Feng & Wang, Michael & Walsh, Michael P., 2005. "Oil consumption and CO2 emissions in China's road transport: current status, future trends, and policy implications," Energy Policy, Elsevier, vol. 33(12), pages 1499-1507, August.
    17. Loo, Becky P.Y. & Banister, David, 2016. "Decoupling transport from economic growth: Extending the debate to include environmental and social externalities," Journal of Transport Geography, Elsevier, vol. 57(C), pages 134-144.
    18. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    19. Wang, Qiang & Chen, Xi & Yi-chong, Xu, 2013. "Accident like the Fukushima unlikely in a country with effective nuclear regulation: Literature review and proposed guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 126-146.
    20. Alises, Ana & Vassallo, Jose Manuel & Guzmán, Andrés Felipe, 2014. "Road freight transport decoupling: A comparative analysis between the United Kingdom and Spain," Transport Policy, Elsevier, vol. 32(C), pages 186-193.
    21. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    22. Rongrong Li & Min Su, 2017. "The Role of Natural Gas and Renewable Energy in Curbing Carbon Emission: Case Study of the United States," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    23. Xu, Bin & Lin, Boqiang, 2015. "Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach," Energy, Elsevier, vol. 83(C), pages 486-495.
    24. Ang, B.W. & Goh, Tian, 2018. "Bridging the gap between energy-to-GDP ratio and composite energy intensity index," Energy Policy, Elsevier, vol. 119(C), pages 105-112.
    25. Graham, Daniel J. & Crotte, Amado & Anderson, Richard J., 2009. "A dynamic panel analysis of urban metro demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(5), pages 787-794, September.
    26. Rui Jiang & Yulin Zhou & Rongrong Li, 2018. "Moving to a Low-Carbon Economy in China: Decoupling and Decomposition Analysis of Emission and Economy from a Sector Perspective," Sustainability, MDPI, vol. 10(4), pages 1-12, March.
    27. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    28. Kiang, Nancy & Schipper, Lee, 1996. "Energy trends in the Japanese transportation sector," Transport Policy, Elsevier, vol. 3(1-2), pages 21-35.
    29. Roinioti, Argiro & Koroneos, Christopher, 2017. "The decomposition of CO2 emissions from energy use in Greece before and during the economic crisis and their decoupling from economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 448-459.
    30. Loo, Becky P.Y. & Li, Linna, 2012. "Carbon dioxide emissions from passenger transport in China since 1949: Implications for developing sustainable transport," Energy Policy, Elsevier, vol. 50(C), pages 464-476.
    31. Kwon, Tae-Hyeong, 2005. "Decomposition of factors determining the trend of CO2 emissions from car travel in Great Britain (1970-2000)," Ecological Economics, Elsevier, vol. 53(2), pages 261-275, April.
    32. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    33. Wang, Qiang & Chen, Xi, 2015. "Energy policies for managing China’s carbon emission," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 470-479.
    34. Danielis, Romeo, 1995. "Energy use for transport in Italy : Past trends," Energy Policy, Elsevier, vol. 23(9), pages 799-807, September.
    35. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
    36. Scholl, Lynn & Schipper, Lee & Kiang, Nancy, 1996. "CO2 emissions from passenger transport : A comparison of international trends from 1973 to 1992," Energy Policy, Elsevier, vol. 24(1), pages 17-30, January.
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