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The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings

Author

Listed:
  • Mikołaj Czajkowski

    () (Faculty of Economic Sciences, University of Warsaw)

  • Marek Giergiczny

    () (Faculty of Economic Sciences, University of Warsaw)

  • Jakub Kronenberg

    () (Faculty of Economics and Sociology, University of Lodz)

  • Jeffrey Englin

    () (Morrison School of Agribusiness, Arizona State University)

Abstract

The treatment of the opportunity cost of travel time in travel cost models has been an area of research interest for many decades. This analysis develops a methodology to combine the travel distance and travel time data with respondent-specific estimates of the value of travel time savings. The individual travel time values are elicited with the use of discrete choice stated preference methods. The travel time valuation procedure is integrated into the valuation exercise to create a two equation structural model of site valuation. Since the travel time equation of the structural model incorporates individual preference heterogeneity full structural model provides a travel cost site demand model based upon individualized values of time. The methodology is illustrated in a study of recreational birdwatching, more specifically, visits to a stork village in Poland. We show that the usual practice of basing respondents’ value of travel time savings on their wage rate is largely unfounded.

Suggested Citation

  • Mikołaj Czajkowski & Marek Giergiczny & Jakub Kronenberg & Jeffrey Englin, 2015. "The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings," Working Papers 2015-12, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2015-12
    as

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    File URL: http://www.wne.uw.edu.pl/index.php/download_file/1568/
    File Function: First version, 2015
    Download Restriction: no

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    Cited by:

    1. Anthony Amoah & Peter G. Moffatt, 2017. "Estimating demand for reliable piped-water services in urban Ghana: An application of competing valuation approaches," University of East Anglia School of Economics Working Paper Series 2017-01, School of Economics, University of East Anglia, Norwich, UK..
    2. Czembrowski, Piotr & Kronenberg, Jakub & Czepkiewicz, Michał, 2016. "Integrating non-monetary and monetary valuation methods – SoftGIS and hedonic pricing," Ecological Economics, Elsevier, vol. 130(C), pages 166-175.
    3. Mikołaj Czajkowski & Marianne Zandersen & Uzma Aslam & Ioannis Angelidis & Thomas Becker & Wiktor Budziński & Katarzyna Zagórska, 2018. "Recreational Value of the Baltic Sea: a Spatially Explicit Site Choice Model Accounting for Environmental Conditions," Working Papers 2018-11, Faculty of Economic Sciences, University of Warsaw.

    More about this item

    Keywords

    contingent valuation; stated preference; validity; incentive compatibility;

    JEL classification:

    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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