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The Motivation behind Behavioral Thresholds: A Latent Class Approach

Author

Listed:
  • Nobuyuki Ito

    (Division of Natural Resource Economics, Graduate School of Agriculture, Kyoto Univerisy)

  • Kenji Takeuchi

    (Graduate School of Economics, Kobe University)

  • Takahiro Tsuge

    (Faculty of Economics, Konan University)

  • Atsuo Kishimoto

    (National Institute of Advanced Industrial Science and Technology)

Abstract

This paper extends Ito et al. (2010) to reveal whether altruism is an underlying motive of the behavioral thresholds. We also investigate the influence of environmental concern as one of the underlying motives of them. Applying contingent valuation (CV) methods, we conducted a stated preference survey to study people's cooperative behavior in the donation to Green Power Fund (GPF). We use latent class approach in order to examine the underlying motives of the thresholds. The results show that the participation rate in the donation to the GPF, which completely cancels out the amount of CO2 emission from a household's electricity consumption, is estimated as 59.24% at the psychosocial equilibrium when the suggested donation amount is 500 yen. We found that for a latent class with higher altruism and environmental concern there is a statistically significant impact of the equilibrium participation rate through behavioral thresholds.

Suggested Citation

  • Nobuyuki Ito & Kenji Takeuchi & Takahiro Tsuge & Atsuo Kishimoto, 2012. "The Motivation behind Behavioral Thresholds: A Latent Class Approach," Economics Bulletin, AccessEcon, vol. 32(3), pages 1831-1847.
  • Handle: RePEc:ebl:ecbull:eb-11-00650
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    References listed on IDEAS

    as
    1. Emmanuel Flachaire & Guillaume Hollard, 2006. "Controlling Starting-Point Bias in Double-Bounded Contingent Valuation Surveys," Land Economics, University of Wisconsin Press, vol. 82(1), pages 103-111.
    2. Andreoni, James, 1988. "Why free ride? : Strategies and learning in public goods experiments," Journal of Public Economics, Elsevier, vol. 37(3), pages 291-304, December.
    3. DeShazo, J. R., 2002. "Designing Transactions without Framing Effects in Iterative Question Formats," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 360-385, May.
    4. Nyborg, Karine & Howarth, Richard B. & Brekke, Kjell Arne, 2006. "Green consumers and public policy: On socially contingent moral motivation," Resource and Energy Economics, Elsevier, vol. 28(4), pages 351-366, November.
    5. Urs Fischbacher & Simon Gachter, 2010. "Social Preferences, Beliefs, and the Dynamics of Free Riding in Public Goods Experiments," American Economic Review, American Economic Association, vol. 100(1), pages 541-556, March.
    6. Roe, Brian & Teisl, Mario F. & Levy, Alan & Russell, Matthew, 2001. "US consumers' willingness to pay for green electricity," Energy Policy, Elsevier, vol. 29(11), pages 917-925, September.
    7. Ek, Kristina & Söderholm, Patrik, 2008. "Norms and economic motivation in the Swedish green electricity market," Ecological Economics, Elsevier, vol. 68(1-2), pages 169-182, December.
    8. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    9. Longo, Alberto & Markandya, Anil & Petrucci, Marta, 2008. "The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy," Ecological Economics, Elsevier, vol. 67(1), pages 140-152, August.
    10. Daniel Houser & Robert Kurzban, 2002. "Revisiting Kindness and Confusion in Public Goods Experiments," American Economic Review, American Economic Association, vol. 92(4), pages 1062-1069, September.
    11. Ito, Nobuyuki & Takeuchi, Kenji & Tsuge, Takahiro & Kishimoto, Atsuo, 2010. "Applying threshold models to donations to a green electricity fund," Energy Policy, Elsevier, vol. 38(4), pages 1819-1825, April.
    12. Palfrey, Thomas R & Prisbrey, Jeffrey E, 1997. "Anomalous Behavior in Public Goods Experiments: How Much and Why?," American Economic Review, American Economic Association, vol. 87(5), pages 829-846, December.
    13. Kotchen, Matthew J. & Moore, Michael R., 2007. "Private provision of environmental public goods: Household participation in green-electricity programs," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 1-16, January.
    14. Michael Hanemann & John Loomis & Barbara Kanninen, 1991. "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1255-1263.
    15. Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
    16. Bergmann, Ariel & Colombo, Sergio & Hanley, Nick, 2008. "Rural versus urban preferences for renewable energy developments," Ecological Economics, Elsevier, vol. 65(3), pages 616-625, April.
    17. Ek, Kristina, 2005. "Public and private attitudes towards "green" electricity: the case of Swedish wind power," Energy Policy, Elsevier, vol. 33(13), pages 1677-1689, September.
    18. Roland Menges & Carsten Schroeder & Stefan Traub, 2005. "Altruism, Warm Glow and the Willingness-to-Donate for Green Electricity: An Artefactual Field Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 31(4), pages 431-458, August.
    19. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
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    More about this item

    Keywords

    green electricity fund; contingent valuation; threshold model; critical mass; latent class model; double-bounded dichotomous choice;
    All these keywords.

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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