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Accounting for Changes in Automobile Gasoline Consumption in Japan: 2000–2007

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  • Shigemi Kagawa
  • Yuriko Goto
  • Sangwon Suh
  • Keisuke Nansai
  • Yuki Kudoh

Abstract

This paper analyzes gasoline consumption in Japan for the period 2000–2007 using the index decomposition analysis (IDA). The changes in gasoline consumption in Japan were attributed to five factors: (1) change in the annual average driving distance of new and vintage cars, (2) change in the market share of new passenger cars, (3) change in the total number of new passenger cars, (4) change in the fuel economy of new passenger cars, and (5) change in the stock of vintage cars. We used the IDA results to estimate the economy-wide direct rebound effect, where improved fuel mileage causes additional travel. We found that the total gasoline saved by shifting from vintage ordinary passenger cars to both new kei passenger cars and new hybrid cars during fiscal 2006–2007 amounted to 395 ML, while about half of the gasoline savings from car replacement were lost by the direct rebound effects. The analysis shows that the direct rebound effect can be crucial in the effort of reducing overall gasoline consumption as well as household CO 2 emissions from passenger cars. JEL Classification: Q41, Q43. Copyright S. Kagawa et al.; licensee Springer 2012

Suggested Citation

  • Shigemi Kagawa & Yuriko Goto & Sangwon Suh & Keisuke Nansai & Yuki Kudoh, 2012. "Accounting for Changes in Automobile Gasoline Consumption in Japan: 2000–2007," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 1(1), pages 1-27, December.
  • Handle: RePEc:spr:jecstr:v:1:y:2012:i:1:p:1-27:10.1186/2193-2409-1-9
    DOI: 10.1186/2193-2409-1-9
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    References listed on IDEAS

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    1. de Boer, Paul, 2009. "Generalized Fisher index or Siegel-Shapley decomposition?," Energy Economics, Elsevier, vol. 31(5), pages 810-814, September.
    2. Clifton T Jones, 1993. "Another Look at U.S. Passenger Vehicle Use and the 'Rebound' Effect from Improved Fuel Efficiency," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 99-110.
    3. David L. Greene, 1992. "Vehicle Use and Fuel Economy: How Big is the "Rebound" Effect?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 117-144.
    4. Pinelopi Koujianou Goldberg, 1998. "The Effects of the Corporate Average Fuel Efficiency Standards in the US," Journal of Industrial Economics, Wiley Blackwell, vol. 46(1), pages 1-33, March.
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    Cited by:

    1. K. Shironitta, 2016. "Global structural changes and their implication for territorial CO2 emissions," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-18, December.
    2. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    3. Kayoko Shironitta & Shunsuke Okamoto & Shigemi Kagawa, 2019. "Cross-country analysis of relationship between material input structures and consumption-based CO2 emissions," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(4), pages 533-554, October.

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    More about this item

    Keywords

    Index decomposition analysis; Gasoline consumption; Rebound effect; Automobiles;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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