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Testing Significance Of Multi-Destination And Multi-Purpose Trip Effects In A Travel Cost Method Demand Model For Whale Watching Trips

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Author Info

  • Loomis, John B.
  • Yorizane, Shizuka
  • Larson, Douglas M.

Abstract

Inclusion of multi-destination and multi-purpose visitors has an appreciable influence on a standard count data travel cost model derived estimate of willingness to pay but the differences are not statistically significant. We adapt a more general travel cost model (TCM) of Parsons and Wilson (1997) that allows for inclusion of multi-destination visitors as incidental demand to allow estimation of an unbiased measure of single and multi-destination willingness to pat for whale viewing using a single pooled equation. The primary purpose trip values from the standard TCM and simple generalized TCM model are identical at $43 per person per day and neither are significantly different from the $50 day value from a generalized model that distinguishes between joint and incidental trips. The general models avoid underestimation of total recreation site benefits that would result from omitting the consumer surplus of multi-destination visitors.

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Bibliographic Info

Article provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.

Volume (Year): 29 (2000)
Issue (Month): 2 (October)
Pages:

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Handle: RePEc:ags:arerjl:31308

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Keywords: Resource /Energy Economics and Policy;

References

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  1. Creel, Michael D & Loomis, John B, 1991. "Confidence Intervals for Welfare Measures with Application to a Problem of Truncated Counts," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 370-73, May.
  2. V. Kerry Smith & Raymond J. Kopp, 1980. "The Spatial Limits of the Travel Cost Recreational Demand Model," Land Economics, University of Wisconsin Press, vol. 56(1), pages 64-72.
  3. Abraham E. Haspel & F. Reed Johnson, 1982. "Multiple Destination Trip Bias in Recreation Benefit Estimation," Land Economics, University of Wisconsin Press, vol. 58(3), pages 364-372.
  4. Hellerstein, Daniel, 1991. "Using Count Data Models in Travel Cost Analysis with Aggregate Data," MPRA Paper 25264, University Library of Munich, Germany.
  5. Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
  6. 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), April.
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Citations

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Cited by:
  1. Nikita Lyssenko & Roberto Martínez-Espi�eira, 2012. "Respondent uncertainty in contingent valuation: the case of whale conservation in Newfoundland and Labrador," Applied Economics, Taylor & Francis Journals, vol. 44(15), pages 1911-1930, May.
  2. John A. Curtis, 2002. "Estimating the Demand for Salmon Angling in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 33(3), pages 319-332.
  3. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2008. "Multi-destination and multi-purpose trip effects in the analysis of the demand for trips to a remote recreational site," EERI Research Paper Series EERI_RP_2008_19, Economics and Econometrics Research Institute (EERI), Brussels.
  4. Doshi, Amar & Pascoe, Sean, 2013. "Investigating the effects of sample heterogeneity on the travel cost model for coral diving in Southeast Asia," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152146, Australian Agricultural and Resource Economics Society.
  5. 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.
  6. Ram Shrestha & John Loomis, 2003. "Meta-Analytic Benefit Transfer of Outdoor Recreation Economic Values: Testing Out-of-Sample Convergent Validity," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 25(1), pages 79-100, May.
  7. 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.
  8. Chen, Min & Lupi, Frank, 2013. "Modeling Long Overnight Trips by Chaining Recreation Sites," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150489, Agricultural and Applied Economics Association.

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