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Reducing Carbon Emissions from Shopping Trips: Evidence from China

Author

Listed:
  • Jing Li

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China)

  • Pingyu Zhang

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China)

  • Kevin Lo

    (Department of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China)

  • Meng Guo

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, Jilin, China)

  • Mark Wang

    (School of Geography, the University of Melbourne, Melbourne, Victoria 3010, Australia)

Abstract

With rising income and the emergence of modern shopping centers in urban China, shopping trips by private car becomes more and more common, leading to higher carbon emissions in the transport sector. Encouraging car owners to shift transport mode from private car to public transport could achieve significant emissions reductions. This study estimate carbon emissions savings by shifting from private cars to public transport for shopping trips in urban China, using Shenyang, one of the largest cities in China, as a case study. Our results show that the average carbon emissions per shopper is 426.9 g, and the carbon emissions on weekends is 13% higher than weekdays. Moreover, shoppers travelling by private car emitted five times more carbon emission than those by public transport. We also found that car ownership gradually increased as accessibility to public transport decreased, and that more car owners chose to travel by private cars than public transport in areas with limited access. This study, thus, highlights the potential for high-quality public transport to reduce the transport sector’s carbon emissions in urban China.

Suggested Citation

  • Jing Li & Pingyu Zhang & Kevin Lo & Meng Guo & Mark Wang, 2015. "Reducing Carbon Emissions from Shopping Trips: Evidence from China," Energies, MDPI, vol. 8(9), pages 1-15, September.
  • Handle: RePEc:gam:jeners:v:8:y:2015:i:9:p:10043-10057:d:55773
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    References listed on IDEAS

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    1. Hickman, Robin & Ashiru, Olu & Banister, David, 2011. "Transitions to low carbon transport futures: strategic conversations from London and Delhi," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1553-1562.
    2. Giovanni Baiocchi & Jan Minx & Klaus Hubacek, 2010. "The Impact of Social Factors and Consumer Behavior on Carbon Dioxide Emissions in the United Kingdom," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 50-72, January.
    3. Jia, Tao & Carling, Kenneth & Håkansson, Johan, 2013. "Trips and their CO2 emissions to and from a shopping center," Journal of Transport Geography, Elsevier, vol. 33(C), pages 135-145.
    4. Carling, Kenneth & HÃ¥kansson, Johan & Jia, Tao, 2013. "Out-of-town shopping and its induced CO2-emissions," Journal of Retailing and Consumer Services, Elsevier, vol. 20(4), pages 382-388.
    5. Banister, David, 2011. "Cities, mobility and climate change," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1538-1546.
    6. Jia, Tao & Carling, Kenneth & Håkansson, Johan, 2013. "Trips and Their CO2-Emissions Induced by a Shopping Center," HUI Working Papers 88, HUI Research.
    7. Gomi, Kei & Shimada, Kouji & Matsuoka, Yuzuru, 2010. "A low-carbon scenario creation method for a local-scale economy and its application in Kyoto city," Energy Policy, Elsevier, vol. 38(9), pages 4783-4796, September.
    8. Schenk, Tilman A. & Loffler, Gunter & Rauh, Jurgen, 2007. "Agent-based simulation of consumer behavior in grocery shopping on a regional level," Journal of Business Research, Elsevier, vol. 60(8), pages 894-903, August.
    9. Mu, Rui & Jong, Martin de, 2012. "Establishing the conditions for effective transit-oriented development in China: the case of Dalian," Journal of Transport Geography, Elsevier, vol. 24(C), pages 234-249.
    10. Niedzielski, Michael A. & Horner, Mark W. & Xiao, Ningchuan, 2013. "Analyzing scale independence in jobs-housing and commute efficiency metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 129-143.
    11. Carling, Kenneth & Håkansson, Johan & Jia, Tao, 2013. "Out-of-Town Shopping and Its Induced CO2-Emissions," HUI Working Papers 87, HUI Research.
    12. Riikka Kyrö & Jukka Heinonen & Antti Säynäjoki & Seppo Junnila, 2012. "Assessing the Potential of Climate Change Mitigation Actions in Three Different City Types in Finland," Sustainability, MDPI, vol. 4(7), pages 1-15, July.
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