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Energy Efficiency in the Passenger Transport Sectors of Germany and the Netherlands

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  • Elsenberger, Sebastian

Abstract

This thesis examines, quantifies, and ranks the influence of various factors of activity, structure, and intensity on passenger transport energy consumption to assess the progression of energy efficiency. For this purpose, four logarithmic mean Divisia index (LMDI) decomposition analyses are conducted employing continuous data from 2000 to 2016, one each for the land passenger transport sector and one for the LDV sector. In particular, the question of to what extent gross efficiency gains can be attributed to technical efficiency improvements versus behavioral factors is answered. The analyses on land passenger transport solely feature gross energy intensity, whereas the subsequent analyses on LDV energy consumption further decompose gross efficiency into fuel share, average occupancy, and technical energy intensity. Beyond that, population factors are introduced to obtain results normalized per capita. The results of the full decomposition analyses highlight that technical energy efficiency enhancements are always substantially offset by behavioral factors, such as passenger activity per capita or LDV average occupancy. What is more, modal split is of the least significance even though it holds an enormous energy savings potential. However, passenger transport energy consumption per capita decreases throughout all scenarios. Ultimately, a successful policy response must address behavioral and personal utility factors since measures exclusively focused on technical energy efficiency improvements are likely to induce rebound effects.

Suggested Citation

  • Elsenberger, Sebastian, 2023. "Energy Efficiency in the Passenger Transport Sectors of Germany and the Netherlands," MPRA Paper 122147, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:122147
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    1. Marian R. Chertow, 2000. "The IPAT Equation and Its Variants," Journal of Industrial Ecology, Yale University, vol. 4(4), pages 13-29, October.
    2. Brown, Marilyn A., 2001. "Market failures and barriers as a basis for clean energy policies," Energy Policy, Elsevier, vol. 29(14), pages 1197-1207, November.
    3. Eugenio J. Miravete & María J. Moral & Jeff Thurk, 2018. "Fuel taxation, emissions policy, and competitive advantage in the diffusion of European diesel automobiles," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 504-540, September.
    4. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    5. Rui Jiang & Peng Wu & Chengke Wu, 2022. "Driving Factors behind Energy-Related Carbon Emissions in the U.S. Road Transport Sector: A Decomposition Analysis," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    6. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    7. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    8. repec:dau:papers:123456789/10972 is not listed on IDEAS
    9. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    10. Papagiannaki, Katerina & Diakoulaki, Danae, 2009. "Decomposition analysis of CO2 emissions from passenger cars: The cases of Greece and Denmark," Energy Policy, Elsevier, vol. 37(8), pages 3259-3267, August.
    11. Anna Alberini & Silvia Banfi & Celine Ramseier, 2013. "Energy Efficiency Investments in the Home: Swiss Homeowners and Expectations about Future Energy Prices," The Energy Journal, , vol. 34(1), pages 49-86, January.
    12. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    13. Schleich, Joachim, 2009. "Barriers to energy efficiency: A comparison across the German commercial and services sector," Ecological Economics, Elsevier, vol. 68(7), pages 2150-2159, May.
    14. Daniel Metzler & Andreas Humpe & Stefan Gössling, 2019. "Is it time to abolish company car benefits? An analysis of transport behaviour in Germany and implications for climate change," Climate Policy, Taylor & Francis Journals, vol. 19(5), pages 542-555, May.
    15. González, Rosa Marina & Marrero, Gustavo A. & Rodríguez-López, Jesús & Marrero, Ángel S., 2019. "Analyzing CO2 emissions from passenger cars in Europe: A dynamic panel data approach," Energy Policy, Elsevier, vol. 129(C), pages 1271-1281.
    16. Ó Gallachóir, Brian P. & Howley, Martin & Cunningham, Stephen & Bazilian, Morgan, 2009. "How private car purchasing trends offset efficiency gains and the successful energy policy response," Energy Policy, Elsevier, vol. 37(10), pages 3790-3802, October.
    17. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    18. David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
    19. Anna Alberini, Silvia Banfi, and Celine Ramseier, 2013. "Energy Efficiency Investments in the Home: Swiss Homeowners and Expectations about Future Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    20. Craglia, Matteo & Cullen, Jonathan, 2019. "Do technical improvements lead to real efficiency gains? Disaggregating changes in transport energy intensity," Energy Policy, Elsevier, vol. 134(C).
    21. Jennings, Mark & Ó Gallachóir, Brian P. & Schipper, Lee, 2013. "Irish passenger transport: Data refinements, international comparisons, and decomposition analysis," Energy Policy, Elsevier, vol. 56(C), pages 151-164.
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    More about this item

    Keywords

    Energy Efficiency; Decomposition Analysis; LMDI; Energy Efficiency Indicators; Rebound Effect; Transport Policy; Fuel Switching; Energy Economics; Energy Policy; Germany; Netherlands; Factor Decomposition;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other

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