[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/61032.html
   My bibliography  Save this paper

Greenhouse gas emissions and marginal abatement cost curves for the road transport in Greece

Author

Listed:
  • Halkos, George
  • Kevork, Ilias
  • Tziourtzioumis, Chris
Abstract
In the current technical report, we consider for the Greek road transport various policies of emission control for the period 2014-2030, and for the first time we estimate the related greenhouse gas emissions expressed in CO2 equivalent and the total costs. These policies result from the high penetration rate of the most recent Euro standards (e.g. Euro 5,6) to the fleet of various vehicle classifications which will be in circulation at the end of each year for the specific period. For each vehicle classification, the shares of vehicles with different technology standards result from the continuation of 2000-2013 trends regarding the number of vehicles adjusted according to a conservative scenario of GDP growth after 2014. The vehicle classifications are differentiated according to (a) engine capacity for passenger cars and motorcycles-mopeds and maximum weight for trucks and buses, and (b) type of fuel (gasoline, diesel, liquefied petroleum gas). To calculate the greenhouse gas emissions, we adopt the Tier 2 method, which uses for each vehicle classification the number of vehicles, the annual average mileage per vehicle and the emission factors of each pollutant. For the calculation of total cost we consider four elements: capital, operation, maintenance and fuel costs. Having available the reductions in CO2 emissions and the increases/decreases in the corresponding costs, marginal abatement cost curves are constructed first for specific vehicle classifications and second for general vehicle categories.

Suggested Citation

  • Halkos, George & Kevork, Ilias & Tziourtzioumis, Chris, 2014. "Greenhouse gas emissions and marginal abatement cost curves for the road transport in Greece," MPRA Paper 61032, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:61032
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/61032/1/MPRA_paper_61032.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Halkos, George & Kevork, Ilias & Galani, Georgia & Tzeremes, Panagiotis, 2014. "An analysis of long-term scenarios for the transition to renewable energy in Greece," MPRA Paper 59975, University Library of Munich, Germany.
    2. Corbae,Dean & Durlauf,Steven N. & Hansen,Bruce E. (ed.), 2006. "Econometric Theory and Practice," Cambridge Books, Cambridge University Press, number 9780521807234, September.
    3. George Halkos & Ilias Kevork, 2005. "A comparison of alternative unit root tests," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(1), pages 45-60.
    4. Halkos, George & Kevork, Ilias & Tziourtzioumis, Chris, 2014. "Emissions and abatement costs for the passenger cars sector in Greece," MPRA Paper 60197, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Halkos, George & Tzeremes, Panagiotis, 2015. "Scenario analysis on greenhouse gas emissions reduction in Southeast Balkans' energy system," MPRA Paper 65280, University Library of Munich, Germany.

    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. Halkos, George & Kevork, Ilias & Tziourtzioumis, Chris, 2014. "Emissions and abatement costs for the passenger cars sector in Greece," MPRA Paper 60197, University Library of Munich, Germany.
    2. Halkos, George & Tzeremes, Panagiotis, 2015. "Scenario analysis on greenhouse gas emissions reduction in Southeast Balkans' energy system," MPRA Paper 65280, University Library of Munich, Germany.
    3. Halkos, George & Kevork, Ilias & Galani, Georgia & Tzeremes, Panagiotis, 2014. "An analysis of long-term scenarios for the transition to renewable energy in Greece," MPRA Paper 59975, University Library of Munich, Germany.
    4. repec:ebl:ecbull:v:30:y:2010:i:1:p:55-66 is not listed on IDEAS
    5. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    6. Halkos, George & Kevork, Ilias, 2012. "Unbiased estimation of maximum expected profits in the Newsvendor Model: a case study analysis," MPRA Paper 40724, University Library of Munich, Germany.
    7. Gospodinov, Nikolay & Otsu, Taisuke, 2012. "Local GMM estimation of time series models with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 170(2), pages 476-490.
    8. Constantin ANGHELACHE & Alexandru MANOLE & Mădălina Gabriela ANGHEL, 2016. "The major economic evolution of Romania by the middle of 2016," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(609), W), pages 165-182, Winter.
    9. Arouri, Mohamed El Hedi & Ben Youssef, Adel & M'henni, Hatem & Rault, Christophe, 2012. "Energy consumption, economic growth and CO2 emissions in Middle East and North African countries," Energy Policy, Elsevier, vol. 45(C), pages 342-349.
    10. Boldea, Otilia & Hall, Alastair R., 2013. "Estimation and inference in unstable nonlinear least squares models," Journal of Econometrics, Elsevier, vol. 172(1), pages 158-167.
    11. Christophe Rault & António Afonso, 2007. "Should we care for structural breaks when assessing fiscal sustainability?," Economics Bulletin, AccessEcon, vol. 3(63), pages 1-9.
    12. Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith, 2019. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1339-1350, July.
    13. Mohitosh Kejriwal, 2020. "A Robust Sequential Procedure for Estimating the Number of Structural Changes in Persistence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 669-685, June.
    14. Perevyshin, Yu. & Skrobotov, A., 2017. "The Price Convergence of Individual Goods in the Russian Regions," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 71-102.
    15. Alexeev, Vitali & Maynard, Alex, 2012. "Localized level crossing random walk test robust to the presence of structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3322-3344.
    16. António Afonso & Christophe Rault, 2010. "What do we really know about fiscal sustainability in the EU? A panel data diagnostic," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(4), pages 731-755, January.
    17. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    18. António Afonso & Christophe Rault, 2008. "Budgetary and External Imbalances Relationship : a Panel Data Diagnostic," Working Papers Department of Economics 2008/45, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    19. Nizar Harrathi & Ahmed Almohaimeed, 2022. "Determinants of Carbon Dioxide Emissions: New Empirical Evidence from MENA Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 469-482.
    20. Igan, Deniz & Kabundi, Alain & Nadal De Simone, Francisco & Pinheiro, Marcelo & Tamirisa, Natalia, 2011. "Housing, credit, and real activity cycles: Characteristics and comovement," Journal of Housing Economics, Elsevier, vol. 20(3), pages 210-231, September.
    21. Kejriwal, Mohitosh & Perron, Pierre, 2010. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 503-522.

    More about this item

    Keywords

    Transport sector; passenger cars; tier 2 method; abatement costs; emissions.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • 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
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

    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:pra:mprapa:61032. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.