Linking sportfishing trip attributes, participation decisions, and regional economic impacts in Lower and Central Cook Inlet, Alaska
AbstractForecasts 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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Bibliographic InfoPaper provided by Utah State University, Department of Economics in its series Working Papers with number 2001-01.
Length: 26 pages
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Other versions of this item:
- Charles Hamel & Hans T. Geier & Mark Herrmann & Keith R. Criddle & S. Todd Lee, 2002. "Linking sportfishing trip attributes, participation decisions, and regional economic impacts in Lower and Central Cook Inlet, Alaska," The Annals of Regional Science, Springer, vol. 36(2), pages 247-264.
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
- Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
- Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
This paper has been announced in the following NEP Reports:
- NEP-AGR-2006-08-12 (Agricultural Economics)
- NEP-ALL-2006-08-12 (All new papers)
- NEP-FOR-2006-08-12 (Forecasting)
- NEP-TUR-2006-08-12 (Tourism Economics)
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- Keith Criddle & M. Herrmann & S. Lee & C. Hamel, 2001.
"Participation decisions, angler welfare, and the regional economic impact of sportfishing,"
2001-13, Utah State University, Department of Economics.
- 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).
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- 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).
- 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).
- Seung, Chang K., 2008. "Estimating Dynamic Impacts of the Seafood Industry in Alaska," Marine Resource Economics, Marine Resources Foundation, vol. 23(1).
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