IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_206_13.html
   My bibliography  Save this paper

Green taxation in Italy: an assessment of a carbon tax on transport

Author

Listed:
  • Federico Cingano

    (OECD)

  • Ivan Faiella

    (Bank of Italy)

Abstract

The Europe 2020 strategy commits Italy to reduce emissions by about 16 per cent by 2020, compared with 2005. In the case of transport, the sector that has contributed most to the growth of total emissions between 1990 and 2008, the 2020 target could be achieved by introducing a Carbon Tax (CT). A CT would significantly reduce households� demand for private transportation, lowering their emissions. CT proceedings could pay for the reduction of more distortive levies (e.g. labour taxation) or recycled to finance the deploying of renewable energy, replacing the existing charges on electricity consumption, thus alleviating the cost burden of less-affluent households. The CT would also be consistent with the polluter-pays principle, since the largest reduction in emissions would be financed to a proportionally larger extent by those with higher emissions.

Suggested Citation

  • Federico Cingano & Ivan Faiella, 2013. "Green taxation in Italy: an assessment of a carbon tax on transport," Questioni di Economia e Finanza (Occasional Papers) 206, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_206_13
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2013-0206/QEF_206.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 1-25, January.
    2. Ivan Faiella, 2011. "The demand for energy of Italian households," Temi di discussione (Economic working papers) 822, Bank of Italy, Economic Research and International Relations Area.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ivan Faiella & Federico Cingano, 2015. "La tassazione verde in Italia: l?analisi di una carbon tax sui trasporti," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2015(2), pages 45-90.
    2. Wang, Jiaxing & Matsumoto, Shigeru, 2022. "Can subsidy programs lead consumers to select “greener” products?: Evidence from the Eco-car program in Japan," Research in Transportation Economics, Elsevier, vol. 91(C).
    3. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    4. repec:zbw:rwirep:0209 is not listed on IDEAS
    5. Liddle, Brantley & Parker, Steven, 2022. "One more for the road: Reconsidering whether OECD gasoline income and price elasticities have changed over time," Energy Economics, Elsevier, vol. 114(C).
    6. Charles Raux, 2011. "Downstream Emissions Trading for Transport," Transportation Research, Economics and Policy, in: Werner Rothengatter & Yoshitsugu Hayashi & Wolfgang Schade (ed.), Transport Moving to Climate Intelligence, chapter 0, pages 209-226, Springer.
    7. Bergantino, Angela Stefania & Intini, Mario & Perdiguero, Jordi, 2020. "Pay cycles and fuel price: a quasi experimental approach," The Warwick Economics Research Paper Series (TWERPS) 1288, University of Warwick, Department of Economics.
    8. repec:zbw:rwirep:0227 is not listed on IDEAS
    9. Frondel, Manuel & Ritter, Nolan & Vance, Colin, 2012. "Heterogeneity in the rebound effect: Further evidence for Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 34(2), pages 461-467.
    10. Dujuan Yang & Harry Timmermans & Aloys Borgers, 2016. "The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment," Transportation, Springer, vol. 43(1), pages 79-100, January.
    11. Lawrence Goulder, 2007. "Distributional and Efficiency Impacts of Increased U.S. Gasoline Taxes," Discussion Papers 07-009, Stanford Institute for Economic Policy Research.
    12. Arentze, Theo & Timmermans, Harry, 2007. "Parametric action decision trees: Incorporating continuous attribute variables into rule-based models of discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 772-783, August.
    13. Goetzke, Frank & Vance, Colin, 2018. "Is gasoline price elasticity in the United States increasing? Evidence from the 2009 and 2017 national household travel surveys," Ruhr Economic Papers 765, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Arentze, Theo & Hofman, Frank & Timmermans, Harry, 2004. "Predicting multi-faceted activity-travel adjustment strategies in response to possible congestion pricing scenarios using an Internet-based stated adaptation experiment," Transport Policy, Elsevier, vol. 11(1), pages 31-41, January.
    15. Britt Groosman & Nicholas Muller & Erin O’Neill-Toy, 2011. "The Ancillary Benefits from Climate Policy in the United States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(4), pages 585-603, December.
    16. Ivan Faiella & Luciano Lavecchia, 2021. "Households' energy demand and the effects of carbon pricing in Italy," Questioni di Economia e Finanza (Occasional Papers) 614, Bank of Italy, Economic Research and International Relations Area.
    17. Kurt Kratena & Ina Meyer & Michael Wüger, 2009. "Ökonomische, technologische und soziodemographische Einflussfaktoren der Energienachfrage," WIFO Monatsberichte (monthly reports), WIFO, vol. 82(7), pages 525-538, July.
    18. Manuel Frondel & Colin Vance, 2009. "Driving for Fun? – A Comparison of Weekdays and Weekend Travel," Ruhr Economic Papers 0103, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    19. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90059, University Library of Munich, Germany.
    20. Frondel, Manuel & Vance, Colin, 2009. "Driving for Fun? – A Comparison of Weekdays and Weekend Travel," Ruhr Economic Papers 103, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    21. Orlando Reyes. & Roberto Escalante. & Anna Matas., 2010. "La demanda de gasolinas en México: Efectos y alternativas ante el cambio climático," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 32(1), pages 83-111, Enero-Jun.
    22. Melo, Patricia C. & Ramli, Ahmad Razi, 2014. "Estimating fuel demand elasticities to evaluate CO2 emissions: Panel data evidence for the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 30-46.

    More about this item

    Keywords

    environmental taxation; climate change; transports;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdi:opques:qef_206_13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.