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Examining the impact of carbon price changes under a personalised carbon trading scheme for transport

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  • McNamara, David
  • Caulfield, Brian

Abstract

The research presented in this paper investigates the welfare effects of a Personal Carbon Trading Scheme (PCTS). A consumer surplus analysis is used to determine the welfare loss to individuals who undertake travel-to-work trips in the Dublin and the Western Border Region (WBR) of Ireland. Three CO2 price scenarios are analysed: a low, medium and high carbon price. These results are compared at an aggregate level for each electoral division to existing measures of deprivation derived from the Census 2006 to determine if electoral wards designated as relatively deprived also incur the largest welfare losses. The results are also compared to the density of population in each electoral division to investigate any link between density levels and welfare changes, particularly in rural regions.

Suggested Citation

  • McNamara, David & Caulfield, Brian, 2013. "Examining the impact of carbon price changes under a personalised carbon trading scheme for transport," Transport Policy, Elsevier, vol. 30(C), pages 238-253.
    • Handle: RePEc:eee:trapol:v:30:y:2013:i:c:p:238-253
    DOI: 10.1016/j.tranpol.2013.09.017
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    Cited by:

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    2. Pitkänen, Atte & von Wright, Tuuli & Kaseva, Janne & Kahiluoto, Helena, 2022. "Distributional fairness of personal carbon trading," Ecological Economics, Elsevier, vol. 201(C).
    3. Kamargianni, Maria & Dubey, Subodh & Polydoropoulou, Amalia & Bhat, Chandra, 2015. "Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 473-488.
    4. Wang, Haibing & Zheng, Tianhang & Sun, Weiqing & Khan, Muhammad Qasim, 2023. "Research on the pricing strategy of park electric vehicle agent considering carbon trading," Applied Energy, Elsevier, vol. 340(C).
    5. Wadud, Zia & Chintakayala, Phani Kumar, 2019. "Personal Carbon Trading: Trade-off and Complementarity Between In-home and Transport Related Emissions Reduction," Ecological Economics, Elsevier, vol. 156(C), pages 397-408.
    6. Liu, Xiaobing & Yan, Xuedong & Liu, Feng & Wang, Rui & Leng, Yan, 2019. "A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data," Applied Energy, Elsevier, vol. 240(C), pages 295-311.
    7. Nie, Qingyun & Zhang, Lihui & Tong, Zihao & Hubacek, Klaus, 2022. "Strategies for applying carbon trading to the new energy vehicle market in China: An improved evolutionary game analysis for the bus industry," Energy, Elsevier, vol. 259(C).
    8. Fan, Jin & He, Haonan & Wu, Yanrui, 2016. "Personal carbon trading and subsidies for hybrid electric vehicles," Economic Modelling, Elsevier, vol. 59(C), pages 164-173.
    9. Daoyan Guo & Hong Chen & Ruyin Long, 2019. "What Role Should Government Play in the Personal Carbon Trading Market: Motivator or Punisher?," IJERPH, MDPI, vol. 16(11), pages 1-16, May.
    10. Zuopeng Xiao & James H. Lenzer & Yanwei Chai, 2017. "Examining The Uneven Distribution Of Household Travel Carbon Emissions Within And Across Neighborhoods: The Case Of Beijing," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 487-506, June.
    11. Daoyan Guo & Hong Chen & Ruyin Long, 2019. "How to involve individuals in personal carbon trading? A game model taking into account the heterogeneous emotions of government and individuals," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 419-435, January.

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