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Cultural Heritage and the Attractiveness of Cities: Evidence from Recreation Trips

Author

Listed:
  • Ruben van Loon

    (VU University Amsterdam)

  • Tom Gosens

    (VU University Amsterdam)

  • Jan Rouwendal

    (VU University Amsterdam)

Abstract

This discussion paper resulted in a publication in the 'Journal of Cultural Economics' . Many cities are trying to attract tourists by investing in urban amenities. Cultural heritage is an important example and substantial investments are needed to keep ancient inner cities and characteristic monumental buildings in good shape. The costs of these policies are usually clear, the benefits are often much more difficult to assess. This paper attempts to fill part of this gap by studying the destination choices of urban recreation trips that have urban recreation as the main travel motive. We estimate a discrete choice model for destination choice that takes into account the potential importance of unobserved characteristics. The model allows us to compute the marginal willingness to travel for destinations offering more cultural heritage, which we measure as the area of the inner city that has a protected status because of the cultural heritage that is present there.

Suggested Citation

  • Ruben van Loon & Tom Gosens & Jan Rouwendal, 2014. "Cultural Heritage and the Attractiveness of Cities: Evidence from Recreation Trips," Tinbergen Institute Discussion Papers 14-049/VIII, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20140049
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    File URL: https://papers.tinbergen.nl/14049.pdf
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    References listed on IDEAS

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    1. Douglas Noonan & Douglas Krupka, 2010. "Determinants of historic and cultural landmark designation: why we preserve what we preserve," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(1), pages 1-26, February.
    2. Edward L. Glaeser, Jed Kolko, and Albert Saiz, 2001. "Consumer city," Journal of Economic Geography, Oxford University Press, vol. 1(1), pages 27-50, January.
    3. Yang, Chih-Hai & Lin, Hui-Lin & Han, Chia-Chun, 2010. "Analysis of international tourist arrivals in China: The role of World Heritage Sites," Tourism Management, Elsevier, vol. 31(6), pages 827-837.
    4. Murdock, Jennifer, 2006. "Handling unobserved site characteristics in random utility models of recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 1-25, January.
    5. Francesco Pigliaru & Alessandro Lanza, 2003. "How fast are the tourism countries growing? The international evidence, 1980-95," ERSA conference papers ersa03p234, European Regional Science Association.
    6. Rinaldo Brau & Alessandro Lanza & Francesco Pigliaru, 2003. "How Fast are the Tourism Countries Growing? The cross-country evidence," Working Papers 2003.85, Fondazione Eni Enrico Mattei.
    7. Jolanta Dziembowska-Kowalska & Rolf H. Funck, 2000. "Cultural activities as a location factor in European competition between regions: Concepts and some evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 34(1), pages 1-12.
    8. Jan Rouwendal & Jaap Boter, 2009. "Assessing the value of museums with a combined discrete choice/count data model," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1417-1436.
    9. H Oppewal & H J P Timmermans & J J Louviere, 1997. "Modelling the Effects of Shopping Centre Size and Store Variety on Consumer Choice Behaviour," Environment and Planning A, , vol. 29(6), pages 1073-1090, June.
    10. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    11. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    12. Patrick Bayer & Robert McMillan & Kim Rueben, 2004. "An Equilibrium Model of Sorting in an Urban Housing Market," NBER Working Papers 10865, National Bureau of Economic Research, Inc.
    13. Mark van Duijn & Jan Rouwendal, 2013. "Cultural heritage and the location choice of Dutch households in a residential sorting model," Journal of Economic Geography, Oxford University Press, vol. 13(3), pages 473-500, May.
    14. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
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    Cited by:

    1. Enrico Bertacchini & Massimiliano Nuccio & Alessandra Durio, 2021. "Proximity tourism and cultural amenities: Evidence from a regional museum card," Tourism Economics, , vol. 27(1), pages 187-204, February.
    2. Douglas S. Noonan & Ilde Rizzo, 2017. "Economics of cultural tourism: issues and perspectives," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(2), pages 95-107, May.

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    More about this item

    Keywords

    Cultural heritage; recreation; city marketing;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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