Location of Repository

ESTIMATING DEMAND FOR RECREATIONAL FISHING IN ALABAMA USING TRAVEL COST MODEL

By Oluwagbemiga Ojumu, Diane Hite and Deacue Fields

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 models—a.k.a. Travel Cost models (TCM). The travel costs’ 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.Recreation, Negative-Binomial, Agricultural and Food Policy, Community/Rural/Urban Development, Consumer/Household Economics, Demand and Price Analysis, Environmental Economics and Policy, Public Economics,

OAI identifier:
Downloaded from http://purl.umn.edu/46858

Suggested articles

Preview

Citations

  1. (1988). An Economic Evaluation of Irish Angling, Economic and Social Research Institute,
  2. (1997). An Estimable Dynamic Model of Recreation Behavior with an Application to Great Lakes Angling."
  3. (1994). Benefits of Improved Water Quality: A Discrete Choice Analysis of Freshwater Recreational Demands." Environment and Planning
  4. (1999). Estimating the Cost of Leisure Time for Recreation Demand Models”
  5. (2002). Estimating the Demand for Salmon Angling in
  6. (1988). On-Site Samples’ Regression: Problem of Non-negative Integers, Truncation, and Endogenous Stratification”,
  7. (1984). Psuedo Maximum Liklihood Methods: Applications to Poisson Models,
  8. (2002). Recreational Fishing as Tourism. Human Dimension. www.fisheries.org
  9. (2003). Statistical Modelling: Negative Binomial Loglinear Models” Statistical Modeling; #3, 179, Sage Publication http://smj.sagepub.com Clont H.,C.
  10. (2000). Testing Significance of Multi-destination and Multi-purpose Trip Effects in a Travel Cost Method Demand Model for Whale Watching Trips”,
  11. (1997). The Michigan Recreational Angling Demand Model” http://oregonstate.edu/dept/IIFET/2000/papers/lupi.pdf -
  12. (1996). Travel Cost method of the Demand for Rock Climbing”,
  13. (2004). Using Revealed Preferences to Infer Environmental Benefits: Evidence from Recreational Fishing Licenses”,
  14. (2002). Valuing Environmental and Natural Resources: The Econometrics of Non-Market Valuation, New Horizons in Environmental Economics

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.