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Mitigation potential of CO2 emissions from modal shift induced by subsidy in hinterland container transport

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  • Tao, Xuezong
  • Wu, Qin
  • Zhu, Lichao

Abstract

A comprehensive analytical framework is presented to assess the potential modal shift (MS) from road transport to rail/water transport and resulting carbon dioxide (CO2) emission mitigation induced by a subsidy policy in port-hinterland transport. In this framework, a modal share model based on a random coefficient logit model and an activity-based method are used to analyze the contribution of an incentive policy to the potential MS and corresponding CO2 emission mitigation. Stated preference survey, face-to-face interviews, and group discussions are employed to obtain the essential data. Case study result shows that a CO2 emission mitigation of 2,586.88t may be achieved with a subsidy of 200 RMB/TEU (Renminbi/20-feet equivalent unit) to the shippers who choose the road-rail combined transport chain in Yiwu City. Compared with the business-as-usual scenario without subsidy, the subsidy policy scenario can achieve a 3.2% MS from a road-only transport chain to a road-rail combined transport chain, as well as a 2.07% CO2 emission mitigation in the Yiwu-Ningbo container transport corridor. This finding reveals that the subsidies can serve as short-term solutions, but a policy package, including financial, technological, operational, and managerial measures, is required as a long-term strategy.

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  • Tao, Xuezong & Wu, Qin & Zhu, Lichao, 2017. "Mitigation potential of CO2 emissions from modal shift induced by subsidy in hinterland container transport," Energy Policy, Elsevier, vol. 101(C), pages 265-273.
  • Handle: RePEc:eee:enepol:v:101:y:2017:i:c:p:265-273
    DOI: 10.1016/j.enpol.2016.11.049
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    1. O. Norojono & W. Young, 2003. "A Stated preference freight mode choice model," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(2), pages 1-1, April.
    2. Feo-Valero, María & García-Menéndez, Leandro & Sáez-Carramolino, Lorena & Furió-Pruñonosa, Salvador, 2011. "The importance of the inland leg of containerised maritime shipments: An analysis of modal choice determinants in Spain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(4), pages 446-460, July.
    3. Arunotayanun, Kriangkrai & Polak, John W., 2011. "Taste heterogeneity and market segmentation in freight shippers' mode choice behaviour," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(2), pages 138-148, March.
    4. Cullinane, Kevin & Toy, Neal, 2000. "Identifying influential attributes in freight route/mode choice decisions: a content analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(1), pages 41-53, March.
    5. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, September.
    6. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    7. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    8. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Scenario analysis on alternative fuel/vehicle for China's future road transport: Life-cycle energy demand and GHG emissions," Energy Policy, Elsevier, vol. 38(8), pages 3943-3956, August.
    9. Nam Seok Kim & Bert Van Wee, 2009. "Assessment of CO 2 emissions for truck-only and rail-based intermodal freight systems in Europe," Transportation Planning and Technology, Taylor & Francis Journals, vol. 32(4), pages 313-333, June.
    10. Y Bouchery & Jan C Fransoo, 2015. "Cost, carbon emissions and modal shift in intermodal network design decisions," Post-Print hal-01954452, HAL.
    11. McKinnon, A.C. & Piecyk, M.I., 2009. "Measurement of CO2 emissions from road freight transport: A review of UK experience," Energy Policy, Elsevier, vol. 37(10), pages 3733-3742, October.
    12. Bouchery, Yann & Fransoo, Jan, 2015. "Cost, carbon emissions and modal shift in intermodal network design decisions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 388-399.
    13. Tsamboulas, Dimitrios & Vrenken, Huub & Lekka, Anna-Maria, 2007. "Assessment of a transport policy potential for intermodal mode shift on a European scale," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 715-733, October.
    14. BLAUWENS, Gust & VANDAELE, Nico & VAN DE VOORDE, Eddy & VERNIMMEN, Bert, 2006. "Towards a modal shift in freight transport? A business logistics analysis of some policy measures," LIDAM Reprints CORE 1812, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Liao, Chun-Hsiung & Tseng, Po-Hsing & Cullinane, Kevin & Lu, Chin-Shan, 2010. "The impact of an emerging port on the carbon dioxide emissions of inland container transport: An empirical study of Taipei port," Energy Policy, Elsevier, vol. 38(9), pages 5251-5257, September.
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