Estimating Demand For Recreational Fishing In Alabama Using Travel Cost Model

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Estimating Demand For Recreational Fishing In Alabama Using Travel Cost Model

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Ojumu, Oluwagbemiga
Hite, Diane
Fields, Deacue

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Diane Hite

Abstract

Individuals and households reveal their willingness to pay to enjoy environmental and natural resource services by engaging in outdoor recreation activities. The state of Alabama and the Black-Belt region possess significant recreational fishing resources whose qualities could be improved through public and private management innovations. To measure the value of such interventions, a baseline estimate of recreational fishing demand and potential for increasing the demand by on-site improvements needs to established. Using direct mail survey, count data obtained on individual angler characteristics, expenditures on fishing equipment, and destinations and expenditures on time and travel for each trip taken. In addition, the kinds and quantities of fish that anglers sought on each trip were obtained. This paper employs a full a full economic analysis based on recreation demand modelsâa.k.a. Travel Cost models (TCM). The travel costsâ Negative Binomial regression reveals that the average number of fishing days demanded is 33.17days, while other demographic and site characteristics have varying effects on the number of fishing days demanded.

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Paper provided by Southern Agricultural Economics Association in its series 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia with number 46858.

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Date of creation: 2009
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Handle: RePEc:ags:saeana:46858

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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. [Downloadable!] (restricted)
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. [Downloadable!]
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 104-12, February. [Downloadable!] (restricted)
Lori Bennear & Robert Stavins & Alexander Wagner, 2005. "Using Revealed Preferences to Infer Environmental Benefits:Evidence from Recreational Fishing Licenses," Journal of Regulatory Economics, Springer, vol. 28(2), pages 157-179, 09. [Downloadable!] (restricted)
Loomis, John & Yorizane, Shizuka & Larson, Douglas, 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), October. [Downloadable!]
Provencher, Bill & Bishop, Richard C., 1997. "An Estimable Dynamic Model of Recreation Behavior with an Application to Great Lakes Angling," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 107-127, June. [Downloadable!] (restricted)
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. [Downloadable!] (restricted)

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