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Valuing historic battlefields: an application of the travel cost method to three American Civil War battlefields

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  • Richard Melstrom

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Abstract

This paper presents individual demand models for three historic battlefield sites maintained by the US National Park Service. Preserved battlefields are valuable cultural resources that make up a significant portion of the US National Park system, but have received scant attention from economists. The demand for trips is modeled as a count data process. Visitor data for these battlefields were collected on-site, so the models account for truncation in the observed number of trips and endogenous stratification. The travel cost method, which is seeing increasing application in cultural heritage research, is used to estimate the use value of each battlefield. The results indicate an average individual willingness to pay for a battlefield trip ranging from about $8–$25, depending on the site. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • 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.
  • Handle: RePEc:kap:jculte:v:38:y:2014:i:3:p:223-236
    DOI: 10.1007/s10824-013-9209-7
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    File URL: http://hdl.handle.net/10.1007/s10824-013-9209-7
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    References listed on IDEAS

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    1. Christopher G. Leggett & Naomi S. Kleckner & Kevin J. Boyle & John W. Dufield & Robert Cameron Mitchell, 2003. "Social Desirability Bias in Contingent Valuation Surveys Administered Through In-Person Interviews," Land Economics, University of Wisconsin Press, vol. 79(4), pages 561-575.
    2. 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.
    3. 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.
    4. Joseph Hilbe, 1994. "Negative binomial regression," Stata Technical Bulletin, StataCorp LP, vol. 3(18).
    5. 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.
    6. K. E. McConnell, 1992. "On-Site Time in the Demand for Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 918-925.
    7. Douglas Noonan, 2003. "Contingent Valuation and Cultural Resources: A Meta-Analytic Review of the Literature," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 27(3), pages 159-176, November.
    8. Parsons, George R. & Wilson, Aaron J., 1997. "Incidental And Joint Consumption In Recreation Demand," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(1), pages 1-6, April.
    9. Loomis, John B. & Yorizane, Shizuka & Larson, Douglas M., 2000. "Testing Significance Of Multi-Destination And Multi-Purpose Trip Effects In A Travel Cost Method Demand Model For Whale Watching Trips," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(2), pages 1-9, October.
    10. Ulibarri, Carlos A. & Ulibarri, Victor C., 2010. "Benefit-transfer valuation of a cultural heritage site: the Petroglyph National Monument," Environment and Development Economics, Cambridge University Press, vol. 15(1), pages 39-57, February.
    11. Choi, Andy S. & Ritchie, Brent W. & Papandrea, Franco & Bennett, Jeff, 2010. "Economic valuation of cultural heritage sites: A choice modeling approach," Tourism Management, Elsevier, vol. 31(2), pages 213-220.
    12. K. Willis & J. Snowball & C. Wymer & José Grisolía, 2012. "A count data travel cost model of theatre demand using aggregate theatre booking data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 91-112, May.
    13. Prayaga, Prabha & Rolfe, John & Stoeckl, Natalie, 2010. "The value of recreational fishing in the Great Barrier Reef, Australia: A pooled revealed preference and contingent behaviour model," Marine Policy, Elsevier, vol. 34(2), pages 244-251, March.
    14. Jara-Díaz, Sergio R. & Munizaga, Marcela A. & Greeven, Paulina & Guerra, Reinaldo & Axhausen, Kay, 2008. "Estimating the value of leisure from a time allocation model," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 946-957, December.
    15. Boxall, Peter C. & Englin, Jeffrey & Adamowicz, Wiktor L., 2003. "Valuing aboriginal artifacts: a combined revealed-stated preference approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 213-230, March.
    16. 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.
    17. Trudy Ann Cameron, 1992. "Combining Contingent Valuation and Travel Cost Data for the Valuation of Nonmarket Goods," Land Economics, University of Wisconsin Press, vol. 68(3), pages 302-317.
    18. 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.
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    Cited by:

    1. 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.
    2. Benedetta Parenti & Salvatore Capasso & Salvatore Ercolano & Giuseppe Lucio Gaeta & Patrizia Lattarulo, 0. "Quantitative methods for the economic valuation of a cultural tourism destination: case study of the Pisa Charterhouse," Quality & Quantity: International Journal of Methodology, Springer, vol. 0, pages 1-14.
    3. John C. Whitehead & Douglas Simpson Noonan & Elizabeth Marquardt, 2014. "Criterion and predictive validity of revealed and stated preference data: the case of “Mountain Home Music†concert demand," Economics and Business Letters, Oviedo University Press, vol. 3(2), pages 87-95.
    4. Silvia Cerisola, 2019. "A new perspective on the cultural heritage–development nexus: the role of creativity," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(1), pages 21-56, March.
    5. Wright, William C.C. & Eppink, Florian V., 2016. "Drivers of heritage value: A meta-analysis of monetary valuation studies of cultural heritage," Ecological Economics, Elsevier, vol. 130(C), pages 277-284.

    More about this item

    Keywords

    Historic battlefields; Battlefield tourism; Travel cost method; National parks; Cultural heritage; L83; Z10;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z10 - Other Special Topics - - Cultural Economics - - - General

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