IDEAS home Printed from
   My bibliography  Save this paper

A Dynamic Analysis of the Green Electricity Fund:Threshold Models Revisited


  • Nobuyuki Ito

    (Graduate School of Economics, Kobe University, Japan)

  • Kenji Takeuchi

    () (Graduate School of Economics, Kobe University)

  • Takahiro Tsuge

    (Faculty of Economics, Konan University, Japan)

  • Atsuo Kishimoto

    (National Institute of Advanced Industrial Science and Technology, Japan)


This study applies a threshold model proposed by Granovetter (1978) to analyze the dynamic diffusion process of donating behavior for renewable energy. Using data on people's willingness to donate for renewable energy under various predicted participation rates, we simulate how herd behavior spreads and the participation rate reaches the equilibrium. The participation rate at the equilibrium is estimated as 66.46% when the suggested donation is 500 yen, while it is 25.88% when the suggested amount is 1,000 yen. The influence of environmentalism and altruism is also examined, and we find that these motivations increase the participation rate 43.38% on average.

Suggested Citation

  • Nobuyuki Ito & Kenji Takeuchi & Takahiro Tsuge & Atsuo Kishimoto, 2009. "A Dynamic Analysis of the Green Electricity Fund:Threshold Models Revisited," Discussion Papers 0909, Graduate School of Economics, Kobe University.
  • Handle: RePEc:koe:wpaper:0909

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Green electricity fund; Dynamic analysis; Contingent Valuation; Threshold model;

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:koe:wpaper:0909. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kimiaki Shirahama) The email address of this maintainer does not seem to be valid anymore. Please ask Kimiaki Shirahama to update the entry or send us the correct email address. General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.