IDEAS home Printed from https://ideas.repec.org/a/tpe/jtecpo/v49y2015i1p98-114.html
   My bibliography  Save this article

The Impact of Government Subsidies or Penalties for New-energy Vehicles A Static and Evolutionary Game Model Analysis

Author

Listed:
  • Shanyong Wang
  • Jin Fan
  • Dingtao Zhao
  • Yanrui Wu

Abstract

This paper provides an approach in the context of transport-generated carbon emissions reduction, discusses the interaction between the government and the vehicle manufacturer by using game theory, and focuses on how manufacturers' motivation can be tapped in order to encourage the adoption of advanced technologies to manufacture new-energy vehicles. The results of the analyses suggest that the strategic choices of the vehicle manufacturer would be influenced by government subsidies, penalties, and, to some extent, consumer environmental awareness. The results will be of particular interest to governments interested in guiding vehicle manufacturers towards making new-energy vehicles. © 2015 LSE and the University of Bath

Suggested Citation

  • Shanyong Wang & Jin Fan & Dingtao Zhao & Yanrui Wu, 2015. "The Impact of Government Subsidies or Penalties for New-energy Vehicles A Static and Evolutionary Game Model Analysis," Journal of Transport Economics and Policy, University of Bath, vol. 49(1), pages 98-114, January.
    • Handle: RePEc:tpe:jtecpo:v:49:y:2015:i:1:p:98-114
    as

    Download full text from publisher

    File URL: http://www.catchword.com/cgi-bin/cgi?ini=bc&body=linker&reqidx=0022-5258(20150101)49:1L.98;1-
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Hongxia Sun & Yao Wan & Huirong Lv, 2020. "System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    2. Yang, Shu & Cheng, Peng & Li, Jun & Wang, Shanyong, 2019. "Which group should policies target? Effects of incentive policies and product cognitions for electric vehicle adoption among Chinese consumers," Energy Policy, Elsevier, vol. 135(C).
    3. Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).

    More about this item

    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:tpe:jtecpo:v:49:y:2015:i:1:p:98-114. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F. Baum (email available below). General contact details of provider: http://www.bath.ac.uk/e-journals/jtep .

    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.