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A resolution of emissions-estimate confusion for informing flight choice

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Listed:
  • Kaivanto, Kim
  • Zhang, Peng

Abstract

Air transport Greenhouse Gas (GHG) emissions estimates differ greatly, depending on the calculation method employed. Among the IPCC, ICAO, DEFRA, and BrighterPlanet calculation methods, the largest estimate may be up to 4.5 times larger than the smallest. Such heterogeneity -- and ambiguity over the true estimate -- confuses the consumer, undermining the credibility of emissions estimates in general. Consequently, GHG emissions estimates do not currently appear on the front page of flight search-engine results. Even where there are differences between alternative flights' emissions, this information is unavailable to consumers at the point of choice. When external considerations rule out alternative travel-modes, the relative ranking of flight options' GHG emissions is sufficient to inform consumers' decision making. Whereas widespread agreement on a gold standard remains elusive, the present study shows that the principal GHG emissions calculation methods produce consistent rankings within specific route-structure classes. Hence, for many consumers, the question of which calculation method to employ is largely irrelevant. But unless GHG emissions information is displayed at the point of decision, it cannot enter into consumers' decision making. A credible and ambiguity-free alternative would thus be to display GHG ranking information on the front page of flight search-engine results.

Suggested Citation

  • Kaivanto, Kim & Zhang, Peng, 2016. "A resolution of emissions-estimate confusion for informing flight choice," MPRA Paper 70923, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:70923
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    References listed on IDEAS

    as
    1. Gaker, David & Zheng, Yanding & Walker, Joan, 2010. "Experimental Economics in Transportation: A Focus on Social Influences and the Provision of Information," University of California Transportation Center, Working Papers qt7vg9m3r1, University of California Transportation Center.
    2. Avineri, Erel & Owen D. Waygood, E., 2013. "Applying valence framing to enhance the effect of information on transport-related carbon dioxide emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 31-38.
    3. Eric Johnson & Suzanne Shu & Benedict Dellaert & Craig Fox & Daniel Goldstein & Gerald Häubl & Richard Larrick & John Payne & Ellen Peters & David Schkade & Brian Wansink & Elke Weber, 2012. "Beyond nudges: Tools of a choice architecture," Marketing Letters, Springer, vol. 23(2), pages 487-504, June.
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    More about this item

    Keywords

    greenhouse gas emissions; carbon footprint computation; scheduled passenger air transport; informed choice; decision making; behavior; policy;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • K3 - Law and Economics - - Other Substantive Areas of Law
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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