IDEAS home Printed from https://ideas.repec.org/p/fem/femwpa/2005.112.html
   My bibliography  Save this paper

The Value of Cultural Heritage Sites in Armenia: Evidence from a Travel Cost Method Study

Author

Listed:
  • Anna Alberini

    (University of Maryland)

  • Alberto Longo

    (University of Bath)

Abstract

This paper applies the travel cost method to visits to cultural sites in Armenia by domestic visitors. Respondents intercepted at four cultural monuments provided information on their visitation patterns, experience at the site, perception of the state of conservation of the monuments, and rating of the quality of the services and infrastructures. We combine actual trips with stated trips under hypothetical programs that would enhance the conservation of the monuments and improve one of (i) the cultural experience at the site, (ii) the quality of the infrastructure, or (iii) the quality of the services, and use the combined actual and stated trips to fit a panel data model. Our investigation shows that that there are significant use values associated with the four study monuments, and that conservation programs and initiatives that improve the cultural experience, or simply make it easier for the respondent to reach and spend time at the monument, are valued by domestic visitors and would encourage higher visitation rates.

Suggested Citation

  • Anna Alberini & Alberto Longo, 2005. "The Value of Cultural Heritage Sites in Armenia: Evidence from a Travel Cost Method Study," Working Papers 2005.112, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2005.112
    as

    Download full text from publisher

    File URL: https://feem-media.s3.eu-central-1.amazonaws.com/wp-content/uploads/NDL2005-112.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. P. Poor & Jamie Smith, 2004. "Travel Cost Analysis of a Cultural Heritage Site: The Case of Historic St. Mary's City of Maryland," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 28(3), pages 217-229, August.
    2. Feather, Peter & Shaw, W. Douglass, 1999. "Estimating the Cost of Leisure Time for Recreation Demand Models," Journal of Environmental Economics and Management, Elsevier, vol. 38(1), pages 49-65, July.
    3. W. Douglass Shaw, 2002. "Testing the Validity of Contingent Behavior Trip Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 401-414.
    4. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    5. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    6. Christopher D. Azevedo & Joseph A. Herriges & Catherine L. Kling, 2003. "Combining Revealed and Stated Preferences: Consistency Tests and Their Interpretations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 525-537.
    7. Ståle Navrud & Richard C. Ready (ed.), 2002. "Valuing Cultural Heritage," Books, Edward Elgar Publishing, number 1759.
    8. Feather, Peter M & Shaw, W Douglas, 2000. "The Demand for Leisure Time in the Presence of Constrained Work Hours," Economic Inquiry, Western Economic Association International, vol. 38(4), pages 651-661, October.
    9. Frank J. Cesario, 1976. "Value of Time in Recreation Benefit Studies," Land Economics, University of Wisconsin Press, vol. 52(1), pages 32-41.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jan MELICHAR, 2010. "Assessment of the Recreation Value of Public Programs in the Jizerske Hory Mountains Using a Contingent Behaviour Model," Regional and Urban Modeling 284100028, EcoMod.
    2. Jan Špaček & Michaela Antoušková, 2013. "Individual single-site travel cost model for Czech paradise geopark," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(7), pages 2851-2858.
    3. Anne-Kathrin LAST, 2008. "The Monetary Value of Cultural Goods: A Contingent Valuation Study of the Municipal Supply of Cultural Goods in Lueneburg, Germany," EcoMod2008 23800074, EcoMod.
    4. Awan Setya Dewanta, 2010. "Valuation of Mount Merapi National Park: A travel cost analysis," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 2(1), pages 79-88, April.
    5. Shou-Lin Yang & Chiung-Ying Lee, 2015. "Analysis of the medical demands of elderly dementia patients considering the caregiver cost of medical accompaniment: an application of the travel cost method and altruistic utility function," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 423-439, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anna Alberini & Alberto Longo, 2006. "Combining the travel cost and contingent behavior methods to value cultural heritage sites: Evidence from Armenia," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 30(4), pages 287-304, December.
    2. Alberini, Anna & Zanatta, Valentina & Rosato, Paolo, 2007. "Combining actual and contingent behavior to estimate the value of sports fishing in the Lagoon of Venice," Ecological Economics, Elsevier, vol. 61(2-3), pages 530-541, March.
    3. Edwin Muchapondwa & Eyoual Demeke & Samson Mukanjari, 2018. "Recreation Demand and Optimal Pricing for International Visitors to Kruger National Park," Working Papers 743, Economic Research Southern Africa.
    4. Massimo Filippini & William Greene & Adan L. Martinez-Cruz, 2018. "Non-market Value of Winter Outdoor Recreation in the Swiss Alps: The Case of Val Bedretto," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 729-754, November.
    5. Amoako-Tuffour, Joe & Martınez-Espineira, Roberto, 2008. "Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination," MPRA Paper 8573, University Library of Munich, Germany.
    6. Egan, Kevin & Herriges, Joseph, 2006. "Multivariate count data regression models with individual panel data from an on-site sample," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 567-581, September.
    7. Lienhoop, Nele & Ansmann, Till, 2011. "Valuing water level changes in reservoirs using two stated preference approaches: An exploration of validity," Ecological Economics, Elsevier, vol. 70(7), pages 1250-1258, May.
    8. Simões, Paula & Barata, Eduardo & Cruz, Luís, 2013. "Joint estimation using revealed and stated preference data: An application using a national forest," Journal of Forest Economics, Elsevier, vol. 19(3), pages 249-266.
    9. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, University Library of Munich, Germany.
    10. Ojumu, Oluwagbemiga & Hite, Diane & Fields, Deacue, 2009. "Estimating Demand For Recreational Fishing In Alabama Using Travel Cost Model," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46858, Southern Agricultural Economics Association.
    11. Stephen Hynes & William Greene, 2016. "Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 348-367, June.
    12. Richard Melstrom, 2014. "Valuing historic battlefields: an application of the travel cost method to three American Civil War battlefields," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(3), pages 223-236, August.
    13. Ovaskainen, Ville & Neuvonen, Marjo & Pouta, Eija, 2012. "Modelling recreation demand with respondent-reported driving cost and stated cost of travel time: A Finnish case," Journal of Forest Economics, Elsevier, vol. 18(4), pages 303-317.
    14. Pattiz, Brian David, 2009. "Count regression models for recreation demand: an application to Clear Lake," ISU General Staff Papers 200901010800002092, Iowa State University, Department of Economics.
    15. Chen, Weiqi & Hong, Huasheng & Liu, Yan & Zhang, Luoping & Hou, Xiaofeng & Raymond, Mark, 2004. "Recreation demand and economic value: An application of travel cost method for Xiamen Island," China Economic Review, Elsevier, vol. 15(4), pages 398-406.
    16. Mohammad Younus Bhat & Mohammad Sultan Bhatt, 2019. "Economic valuation of biodiversity in South Asia: The case of Dachigam National Park in Jammu and Kashmir (India)," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 6(1), pages 59-72, January.
    17. Christopher Azevedo & John R. Crooker, 2008. "Alternative Approaches to Incorporating the Opportunity Cost of Time in Recreation Demand Models," Working Papers 0803, University of Central Missouri, Department of Economics & Finance, revised May 2008.
    18. Dietrich Earnhart, 2004. "Time is Money: Improved Valuation of Time and Transportation Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(2), pages 159-190, October.
    19. Mikołaj Czajkowski & Marek Giergiczny & Jakub Kronenberg & Jeffrey Englin, 2019. "The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 961-984, November.
    20. Hynes, Stephen & Greene, William, 2011. "Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model," Working Papers 148925, National University of Ireland, Galway, Socio-Economic Marine Research Unit.

    More about this item

    Keywords

    Valuation of cultural heritage sites; Non-market valuation; Travel cost; Consumer surplus; Contingent behavior;
    All these keywords.

    JEL classification:

    • Z10 - Other Special Topics - - Cultural Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fem:femwpa:2005.112. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alberto Prina Cerai (email available below). General contact details of provider: https://edirc.repec.org/data/feemmit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.