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Using Choice Modelling to assess the willingness to pay of Queensland households to reduce greenhouse emissions

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  • Ivanova, Galina
  • Rolfe, John
  • Tucker, Gail

Abstract

This paper presents the results of a choice modeling survey of households in Queensland to assess values for reductions in national greenhouse emissions by 2020. The study is novel in two main ways. First, labeled alternatives were used to assess whether the types of broad management options for reducing net emissions (green power, alternative technologies or carbon capture) are significant in understanding preferences for reducing emissions. Second, the importance of the level and type of uncertainty involved in reductions is tested. They include (1) the uncertainty of achieving emissions reduction and (2) the uncertainty of international participation as the percentage of total global emissions covered by international agreements. The results of this survey identified how choice responses vary when the level of uncertainty associated with emissions reduction options are included within choice alternatives.

Suggested Citation

  • Ivanova, Galina & Rolfe, John & Tucker, Gail, 2010. "Using Choice Modelling to assess the willingness to pay of Queensland households to reduce greenhouse emissions," Research Reports 95051, Australian National University, Environmental Economics Research Hub.
    • Handle: RePEc:ags:eerhrr:95051
    DOI: 10.22004/ag.econ.95051
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    File URL: https://ageconsearch.umn.edu/record/95051/files/Using%20Choice%20Modelling%20to%20assess%20the%20willingness%20to%20pay%20of%20Queensland%20households%20to%20reduce%20greenhouse%20emissions.pdf
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    Cited by:

    1. Torres, Cati & Faccioli, Michela & Riera Font, Antoni, 2017. "Waiting or acting now? The effect on willingness-to-pay of delivering inherent uncertainty information in choice experiments," Ecological Economics, Elsevier, vol. 131(C), pages 231-240.
    2. Christos Makriyannis & Robert J. Johnston & Ewa Zawojska, 2022. "Do numerical probabilities promote informed stated preference responses under inherent uncertainty? Insight from a coastal adaptation choice experiment," Working Papers 2022-05, Faculty of Economic Sciences, University of Warsaw.

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    Keywords

    Environmental Economics and Policy;

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