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Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches

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  • Tanya O’Garra
  • Susana Mourato

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Abstract

We use a quantile regression (QR) approach to analyse contingent valuation estimates of public willingness to pay (WTP) for the air and noise pollution reductions associated with the introduction of hydrogen buses in London. QR results show that variables that were not significant in interval regression or ordinary least squares regression become significant at certain quantiles along the WTP distribution. In addition, the determinants of WTP at the lower tail of the distribution differ from those at the higher end of the distribution. Our findings illustrate the usefulness of quantile regression methods for analysing contingent valuation data, enhancing our understanding of the determinants of willingness to pay. Copyright Springer Science+Business Media, Inc. 2007

Suggested Citation

  • Tanya O’Garra & Susana Mourato, 2007. "Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 389-411, April.
  • Handle: RePEc:kap:enreec:v:36:y:2007:i:4:p:389-411
    DOI: 10.1007/s10640-006-9024-0
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    References listed on IDEAS

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    1. Marjainé, Szerényi Zsuzsanna & Harangozó, Gábor, 2014. "Mennyit ér a zajterhelés csökkenése?. Zajvédelmi intézkedések értékelése a haszonértékelések átvitelével
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      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 68-91.
    2. Simone Carr-Cornish & Lygia Romanach, 2014. "Differences in Public Perceptions of Geothermal Energy Technology in Australia," Energies, MDPI, Open Access Journal, vol. 7(3), pages 1-21, March.
    3. Jason Cook & James McDonald, 2013. "Partially Adaptive Estimation of Interval Censored Regression Models," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 119-131, June.
    4. Broberg, Thomas & Kazukauskas, Andrius, 2014. "Inefficiencies in residential use of energy - A critical overview of literature and energy efficiency policies in EU and Sweden," CERE Working Papers 2014:7, CERE - the Center for Environmental and Resource Economics.
    5. Langer, Katharina & Decker, Thomas & Roosen, Jutta & Menrad, Klaus, 2016. "A qualitative analysis to understand the acceptance of wind energy in Bavaria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 248-259.
    6. O'Garra, Tanya & Mourato, Susana & Garrity, Lisa & Schmidt, Patrick & Beerenwinkel, Anne & Altmann, Matthias & Hart, David & Graesel, Cornelia & Whitehouse, Simon, 2007. "Is the public willing to pay for hydrogen buses? A comparative study of preferences in four cities," Energy Policy, Elsevier, vol. 35(7), pages 3630-3642, July.
    7. António Marques & José Fuinhas & José Manso, 2011. "A Quantile Approach to Identify Factors Promoting Renewable Energy in European Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(3), pages 351-366, July.
    8. Norton, Daniel & Hynes, Stephen, 2015. "Spatial issues arising from a value transfer exercise for environmental quality of marine waters," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212663, European Association of Agricultural Economists.
    9. Voltaire, Louinord & Pirrone, Claudio & Bailly, Denis, 2013. "Dealing with preference uncertainty in contingent willingness to pay for a nature protection program: A new approach," Ecological Economics, Elsevier, vol. 88(C), pages 76-85.
    10. Kiran Krishnamurthy, Chandra & Kriström, Bengt, 2013. "Determinants of the price-premium for Green Energy: Evidence from an OECD cross-section," CERE Working Papers 2013:7, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
    11. Bigerna, Simona & Polinori, Paolo, 2011. "Italian consumers’ willingness to pay for renewable energy sources," MPRA Paper 34408, University Library of Munich, Germany.
    12. Yetano Roche, María & Mourato, Susana & Fischedick, Manfred & Pietzner, Katja & Viebahn, Peter, 2010. "Public attitudes towards and demand for hydrogen and fuel cell vehicles: A review of the evidence and methodological implications," Energy Policy, Elsevier, vol. 38(10), pages 5301-5310, October.
    13. Simona Bigerna & Paolo Polinori, 2015. "Willingness to Pay and Public Acceptance for Hydrogen Buses: A Case Study of Perugia," Sustainability, MDPI, Open Access Journal, vol. 7(10), pages 1-20, September.
    14. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede & Kathrine von Graevenitz & Bo Jellesmark Thorsen, 2016. "Robin Hood in reverse? Assessing distributional effects of green space policy using a second-stage hedonic house price model," IFRO Working Paper 2016/07, University of Copenhagen, Department of Food and Resource Economics.
    15. Chandra Kiran B. Krishnamurthy & Bengt Kriström, 2016. "Determinants of the Price-Premium for Green Energy: Evidence from an OECD Cross-Section," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(2), pages 173-204, June.
    16. Pierre-Alexandre Mahieu, 2010. "Does gender matter when using cheap talk in contingent valuation studies?," Economics Bulletin, AccessEcon, vol. 30(4), pages 2955-2961.
    17. Arie Beresteanu, 2016. "Quantile Regression with Interval Data," Working Paper 5991, Department of Economics, University of Pittsburgh.

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