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Linking sportfishing trip attributes, participation decisions, and regional economic impacts in Lower and Central Cook Inlet, Alaska

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  • C. Hamel
  • M. Herrmann
  • S. Lee
  • Keith Criddle
  • H. Geier

Abstract

Forecasts of the regional economic impacts of changes in the demand for recreation occasioned by regulatory changes, changes in the quality of the recreation experience, or changes in average trip costs require a model that links changes in these trip attributes to individual participation decisions and population participation rates. The probability that an individual will take a particular recreational trip is described using a nonlinear random effects probit model based on variable trip attributes and individual economic and demographic characteristics. These conditional individual probabilities are transformed into predictions of changes in total recreation demand using a simulation-based sample enumeration method. The regional impacts associated with ensuing changes in primary and secondary expenditure patterns are elucidated with a stand-alone recreation-sector module linked to a regionally adjusted zip code-level input-output model. Because the participation model allows for nonconstant marginal utility, primary and secondary impacts exhibit nonlinear responses to variations in trip attributes. The modeling approach is demonstrated in an application to the saltwater sport fisheries for Pacific halibut and salmon in Lower and Central Cook Inlet, Alaska.

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File URL: ftp://repec.bus.usu.edu/RePEc/usu/pdf/ERI2001-01.pdf
File Function: First version, 2001
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Bibliographic Info

Paper provided by Utah State University, Department of Economics in its series Working Papers with number 2001-01.

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Length: 26 pages
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Handle: RePEc:usu:wpaper:2001-01

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Cited by:
  1. Seung, Chang K., 2008. "Estimating Dynamic Impacts of the Seafood Industry in Alaska," Marine Resource Economics, Marine Resources Foundation, vol. 23(1).
  2. Devkota, Nirmala & Fannin, James Matthew & Paudel, Krishna P., 2006. "Economic Impact Estimation Using Bootstrap Samples Obtained From Internet And Intercept Survey Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21150, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Seung, Chang K. & Waters, Edward C., 2006. "A Review of Regional Economic Models for Fisheries Management in the U.S," Marine Resource Economics, Marine Resources Foundation, vol. 21(1).
  4. Criddle, Keith R. & Herrmann, Mark & Hamel, Charles & Lee, S. Todd, 2003. "Participation Decisions, Angler Welfare, And The Regional Economic Impact Of Sportfishing," Marine Resource Economics, Marine Resources Foundation, vol. 18(4).
  5. Starbuck, C. Meghan & Berrens, Robert P. & McKee, Michael, 2006. "Simulating changes in forest recreation demand and associated economic impacts due to fire and fuels management activities," Forest Policy and Economics, Elsevier, vol. 8(1), pages 52-66, January.

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