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Evaluating the quality of UNESCO World Heritage List: a comparison with the Baedeker's guidebooks

Author

Listed:
  • Martina Dattilo

    (UNITO - Università degli studi di Torino = University of Turin)

  • Fabio Padovano

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

This study verifies whether the number of criteria of Outstanding Universal Value (OUV) satisfied by a site in the UNESCO World Heritage List (WHL) can be considered as an ordinal measure of its quality against the alternative hypotheses that: a) quality can be measured just dichotomously, by inclusion in the WHL); b) the multiplicity of existing OUV is just meant to capture alternative aesthetic criteria expressed by different cultures. This issue is important for both scientific and policy reasons. To avoid problems of endogeneity and reverse causality, we examine the correlation between the number of satisfied criteria and the evaluation of the site's quality made by an authoritative travel guidebook that pre-existed UNESCO, the Baedeker's guide of the early twentieth century. Exploiting a newly assembled dataset on 234 UNESCO World Heritage Sites (WHS) in 10 European countries from 11 Baedeker's guidebooks, from 1899 to 1911, we proxy the Baedeker's evaluations of quality by four measures: (1) total number of citations of the site; (2) weighted number of citations; (3) average length of the paragraphs with at least one citation; and (4) sentiment expressed in the text. All these measures appear positively and significantly correlated with the number of UNESCO criteria that the site satisfies, using a variety of strategies and robustness checks, confirming that they are an informative ordinal proxy for the quality of UNESCO WHS. Moreover, this analysis brings evidence to bear on the debate about the formation and persistence of UNESCO experts' evaluations over time.

Suggested Citation

  • Martina Dattilo & Fabio Padovano, 2023. "Evaluating the quality of UNESCO World Heritage List: a comparison with the Baedeker's guidebooks," Post-Print hal-04388046, HAL.
  • Handle: RePEc:hal:journl:hal-04388046
    DOI: 10.1007/s10824-023-09493-8
    Note: View the original document on HAL open archive server: https://hal.science/hal-04388046
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    References listed on IDEAS

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    1. Nyman, Rickard & Kapadia, Sujit & Tuckett, David, 2021. "News and narratives in financial systems: Exploiting big data for systemic risk assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    2. Victor Ginsburgh & Sheila Weyers, 1999. "On the Perceived Quality of Movies," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 269-283, November.
    3. Roberto Patuelli & Maurizio Mussoni & Guido Candela, 2016. "The Effects of World Heritage Sites on Domestic Tourism: A Spatial Interaction Model for Italy," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 281-315, Springer.
    4. Bertacchini, Enrico & Revelli, Federico & Zotti, Roberto, 2023. "Lord, how I want to be in that number! On the blessing of UNESCO World Heritage listing," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202304, University of Turin.
    5. Martina Dattilo & Fabio Padovano & Yvon Rocaboy, 2023. "More is worse: the evolution of quality of the UNESCO World Heritage List and its determinants," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(1), pages 71-96, March.
    6. Joel Waldfogel, 2012. "Copyright Protection, Technological Change, and the Quality of New Products: Evidence from Recorded Music since Napster," Journal of Law and Economics, University of Chicago Press, vol. 55(4), pages 715-740.
    7. Jonathan Benchimol & Sophia Kazinnik & Yossi Saadon, 2022. "Text mining methodologies with R: An application to central bank texts," Post-Print emse-03953759, HAL.
    8. Adam Hale Shapiro & Daniel J Wilson, 2022. "Taking the Fed at its Word: A New Approach to Estimating Central Bank Objectives using Text Analysis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(5), pages 2768-2805.
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    1. Martina Dattilo & FABIO PADOVANO & YVON ROCABOY, 2025. "Rent Seeking at the Margin? Theory and Evidence from Unesco’s World Heritage List," Working papers 119, Società Italiana di Economia Pubblica.

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