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Ex-ante evaluation of profitability and government's subsidy policy on vehicle-to-grid system

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  • Hong, Junhee
  • Koo, Yoonmo
  • Jeong, Gicheol
  • Lee, Jongsu

Abstract

Although the electric vehicle reduces pollutant emissions and results in reduced energy costs, lack of battery charging infrastructure and relatively high vehicle prices create challenges to the automobile industry and affect government support policies. To create a battery charging infrastructure, such as a vehicle-to-grid system, stakeholders need a quantitative analysis that decreases profitability uncertainty. The high cost of an electric vehicle can be offset by government subsidies that promote early marketing efforts, but an ex-ante evaluation of consumer demand is needed to analyze the effectiveness of any policy. This study provides information about optimal pricing based on consumer demand as well as the social welfare change effected by possible government subsidy polices for electric vehicles. Results show that the maximum profit for a vehicle-to-grid service provider will be 1.27trillion Korean won/year with an annual subscription fee of 0.65million Korean won. The government subsidy of 1 trillion Korean won, given annually, will increase social welfare by 1.94trillion won and also boost the profit of vehicle-to-grid service provider to 1.98trillion won.

Suggested Citation

  • Hong, Junhee & Koo, Yoonmo & Jeong, Gicheol & Lee, Jongsu, 2012. "Ex-ante evaluation of profitability and government's subsidy policy on vehicle-to-grid system," Energy Policy, Elsevier, vol. 42(C), pages 95-104.
    • Handle: RePEc:eee:enepol:v:42:y:2012:i:c:p:95-104
    DOI: 10.1016/j.enpol.2011.11.053
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    as
    1. Guille, Christophe & Gross, George, 2009. "A conceptual framework for the vehicle-to-grid (V2G) implementation," Energy Policy, Elsevier, vol. 37(11), pages 4379-4390, November.
    2. Perujo, Adolfo & Ciuffo, Biagio, 2010. "The introduction of electric vehicles in the private fleet: Potential impact on the electric supply system and on the environment. A case study for the Province of Milan, Italy," Energy Policy, Elsevier, vol. 38(8), pages 4549-4561, August.
    3. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    4. Bunch, David S. & Bradley, Mark & Golob, Thomas F. & Kitamura, Ryuichi & Occhiuzzo, Gareth P., 1993. "Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 237-253, May.
    5. Yeonbae Kim & Gicheol Jeong & Jiwoon Ahn & Jeong-Dong Lee, 2007. "Consumer preferences for alternative fuel vehicles in South Korea," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 7(4), pages 327-342.
    6. Simonson, Itamar & Kivetz, Ran, 2000. "The Effects of Incomplete Information on Consumer Choice," Research Papers 1609, Stanford University, Graduate School of Business.
    7. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    8. McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
    9. Skerlos, Steven J. & Winebrake, James J., 2010. "Targeting plug-in hybrid electric vehicle policies to increase social benefits," Energy Policy, Elsevier, vol. 38(2), pages 705-708, February.
    10. Sovacool, Benjamin K. & Hirsh, Richard F., 2009. "Beyond batteries: An examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transition," Energy Policy, Elsevier, vol. 37(3), pages 1095-1103, March.
    11. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
    12. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    13. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
    14. Brownston, David & Bunch, David S. & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," University of California Transportation Center, Working Papers qt7rf7s3nx, University of California Transportation Center.
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