Systematic Literature Review and Bibliometric Analysis on Consumer Preferences for Cultural Heritage
DOI:
https://doi.org/10.14738/assrj.1307.11998Keywords:
Cultural heritage, choice experiment, Systematic review, Consumer preferences, Willingness to pay, SDGAbstract
Cultural heritage is vital for sustainable development of society, but systematic analysis of the identification of its economic value based on consumer preferences remains underexplored. This study identifies consumer preferences and willingness to pay for the various types of cultural heritage. A systematic PRISMA review analysed the literature from 2003 to 2024, complemented with bibliographic analyses to identify trends in research. The findings show that consumers value information on the spot, such as walking tours, information centers, and audio guides, and they enjoy shopping in cultural heritage areas. However, the experience is significantly marred by traffic problems. Museum visitors showed a lower willingness to pay for food, beverages and audio guides than visitors to other sites. Specific preferences include temple visitors who prefer tea with monks and repeat visitors who appreciate Seon’s meditation programs. These findings inform policies for the protection of cultural heritage, especially museums and temples, and highlight areas for further research.
References
Chen Y, Wang Z, Zhao J, Zhao X, Zuo S, Zhao J, et al. Paths to policy sustainability for protecting cultural heritage: A quantitative analysis of conservation policies for the great wall within the “instrument–objective–stakeholder” framework. Sustainability. 2025;17(10):4378. Page | 49 Scholar Publishing
Wright WCC, Eppink FV. Drivers of heritage value: A meta-analysis of monetary valuation studies of cultural heritage. Ecological Economics. 2016;130:277–84.
Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. International Journal of Surgery. 2010;8(5):336–41.
Vieira ES, Gomes JANF. A comparison of Scopus and Web of Science for a typical university. Scientometrics. 2009;81(2):587–600.
Broadus R. Toward a definition of “bibliometrics”. Scientometrics. 1987(12(5-6)):373–9.
Pritchard A. Statistical bibliography or bibliometrics. Journal of documentation. 1969;25:348.
Baker HK, Kumar S, Pandey N. Forty years of the journal of futures markets : A bibliometric overview. Journal of Futures Markets. 2021;41(7):1027–54.
Cobo MJ, López-Herrera AG, Herrera-Viedma E, Herrera F. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics. 2011;5(1):146–66.
Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM. How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research. 2021;133:285–96.
Ramos‐Rodríguez AR, Ruíz‐Navarro J. Changes in the intellectual structure of strategic management research: A bibliometric study of the strategic management journal , 1980–2000. Strategic Management Journal. 2004;25(10):981–1004.
Van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84(2):523–38.
Wafa W, Sharaai AH, Matthew NK, Ho SAJ, Akhundzada NA. Organizational life cycle sustainability assessment (OLCSA) for a higher education institution as an organization: A systematic review and bibliometric analysis. Sustainability. 2022;14(5):2616.
Cantillo J, Martín JC, Román C. Discrete choice experiments in the analysis of consumers’ preferences for finfish products: A systematic literature review. Food Quality and Preference. 2020;84:103952.
World Bank Group Data. GDP deflator (base year varies by country) n.d. [Available from: https://data.worldbank.org/indicator/NY.GDP.DEFL.ZS.
World Bank Group Data. PPP conversion factor, GDP (LCU per international $) n.d. [Available from: https://data.worldbank.org/indicator/PA.NUS.PPP.
Willis KG. Assessing visitor preferences in the management of archaeological and heritage attractions: A case study of hadrian's roman wall. International Journal of Tourism Research. 2009;11(5):487–505.
Choi A, Fielding K. Cultural attitudes as WTP determinants: A revised cultural worldview scale. Sustainability. 2016;8(6):570.
Bertacchini E, Frontuto V. Economic valuation of industrial heritage: A choice experiment on Shanghai Baosteel industrial site. Journal of Cultural Heritage. 2024;66:215–28.
Lourenço-Gomes L, Pinto LMC, Rebelo JF. Visitors’ preferences for preserving the attributes of a world heritage site. Journal of Cultural Heritage. 2014;15(1):64–7.
Tsai TH, Chen CM. Evaluating tourists' preferences for attributes of thematic itineraries: Holy folklore statue in kinmen. Tourism Management Perspectives. 2019;30:208–19.
Apostolakis A, Jaffry S. A choice modeling application for greek heritage attractions. Journal of Travel Research. 2005;43(3):309–18.
Apostolakis A, Jaffry S. Heterogeneous preferences for greek heritage attractions. Tourism Economics. 2005;11(2):225–45. Page | 50 Scholar Publishing
Mazzanti M. Valuing cultural heritage in a multi-attribute framework microeconomic perspectives and policy implications. Journal of Socio-Economics. 2003;32(5):549–69.
Detotto C, Meleddu M, Vannini M. Choosing pictures at an exhibition: Do identity values influence the willingness to pay for art? Review of Social Economy. 2022;80(2):250–67.
Jaffry S, Apostolakis A. Evaluating individual preferences for the british museum. Journal of Cultural Economics. 2011;35(1):49–75.
Choi AS, Ritchie BW, Papandrea F, Bennett J. Economic valuation of cultural heritage sites: A choice modeling approach. Tourism Management. 2010;31(2):213–20.
Burke PF, Burton C, Huybers T, Islam T, Louviere JJ, Wise C. The scale-adusted latent class model: Application to museum visitation. Tourism Analysis. 2010;15(2):147–65.
Kim SH, Mokhtarian PL. Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions. Transportation Research Part B: Methodological. 2023;172:134–73.
Neuts B, Vanneste D. Analysing residential preferences for urban redevelopment in tourism destinations: An application of choice experiments. Tourism Planning & Development. 2019;17(2):147–65.
Birenboim A, Zuckerman Farkash M, Fleischer A. Residents' willingness to pay for mitigation measures: The case of tourism impacts in tel aviv's neighborhoods. Annals of Tourism Research Empirical Insights. 2022;3(2):100068. Page | 51
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