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Grey relation analysis of motor vehicular energy consumption in Taiwan


  • Lu, I.J.
  • Lin, Sue J.
  • Lewis, Charles


Grey relation analysis (GRA) was utilized in this study to capture the dynamic characteristics of different factors in the transportation system during their development process and to evaluate the relative influence of the fuel price, the gross domestic product, the number of motor vehicles and the vehicle kilometers of travel (VKT) per energy increase. Furthermore, results from this method were then compared with the OECD decoupling index. This comparison revealed that the steady growth of economic development was strongly correlated with vehicular fuel consumption. The relation grade of 0.967 implies that the increase in the number of passenger cars was another important factor for energy increase. As for the motorcycles, the relative influence of VKT was insignificant, and the positive relationship to GFK indicated that the performance of vehicular energy efficiency has improved in recent years. In comparison to the other factors, the contribution of fuel price was obscure. Additionally, the analysis of decoupling effects also yielded similar results to those of GRA. The coupling index between economic growth and fuel price was observed for passenger cars and motorcycles, while the VKT was relatively decoupled.

Suggested Citation

  • Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2008. "Grey relation analysis of motor vehicular energy consumption in Taiwan," Energy Policy, Elsevier, vol. 36(7), pages 2556-2561, July.
  • Handle: RePEc:eee:enepol:v:36:y:2008:i:7:p:2556-2561

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    References listed on IDEAS

    1. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    2. Lin, Sue J. & Lu, I.J. & Lewis, Charles, 2007. "Grey relation performance correlations among economics, energy use and carbon dioxide emission in Taiwan," Energy Policy, Elsevier, vol. 35(3), pages 1948-1955, March.
    3. Mielnik, Otavio & Goldemberg, Jose, 2002. "Foreign direct investment and decoupling between energy and gross domestic product in developing countries," Energy Policy, Elsevier, vol. 30(2), pages 87-89, January.
    4. Stead, D., 2001. "Transport intensity in Europe -- indicators and trends," Transport Policy, Elsevier, vol. 8(1), pages 29-46, January.
    5. Wan-wen Chu, 2007. "Taiwan," Chapters,in: Handbook on the Northeast and Southeast Asian Economies, chapter 3 Edward Elgar Publishing.
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    2. Abdulkerim Karaaslan & Mesliha Gezen, 2017. "Forecasting of Turkey’s Sectoral Energy Demand by Using Fuzzy Grey Regression Model," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 67-77.
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    4. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
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    7. Llorca, Manuel & Baños, José & Somoza, José & Arbués, Pelayo, 2014. "A latent class approach for estimating energy demands and efficiency in transport: An application to Latin America and the Caribbean," Efficiency Series Papers 2014/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
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    9. Wang, Zhiwei & Lei, Tingzhou & Chang, Xia & Shi, Xinguang & Xiao, Ju & Li, Zaifeng & He, Xiaofeng & Zhu, Jinling & Yang, Shuhua, 2015. "Optimization of a biomass briquette fuel system based on grey relational analysis and analytic hierarchy process: A study using cornstalks in China," Applied Energy, Elsevier, vol. 157(C), pages 523-532.
    10. Xu, Gang & Yang, Yong-ping & Lu, Shi-yuan & Li, Le & Song, Xiaona, 2011. "Comprehensive evaluation of coal-fired power plants based on grey relational analysis and analytic hierarchy process," Energy Policy, Elsevier, vol. 39(5), pages 2343-2351, May.

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