Measuring the Willingness to Pay for Fresh Water Cave Diving

Fresh water springs are unique natural resources that are contained within public lands across the United States. Natural resource management on public lands generates many interesting policy issues as the competing goals of conservation, recreational opportunity provision, and revenue generation often clash. As demand for recreational cave diving sites increases, the paper provides natural resource site managers with the first statistical estimate of divers’ willingness to pay to dive fresh water cave and cavern systems. Using a contingent valuation model approach and correcting for hypothetical bias, we find that divers’ median willingness to pay for cave diving opportunities at the site of interest is approximately $68 per dive. Model results also provide evidence of diver sensitivity with respect to scope as individuals are willing to pay more for dives that are higher in quality. Key Words: Contingent Valuation Model; Willingness to Pay; Cave Diving; Scope Sensitivity

Using Revealed and Stated Preference Data to Estimate the Scope and Access Benefits Associated with Cave Diving

In a single-site travel cost model framework, revealed and stated preference data are jointly estimated to provide the first use value estimate associated with recreational cave diving. Focusing on one of Florida’s first magnitude springs, we estimate average per-person per-trip use values of approximately $165, generating annual cave diving use values in excess of$1,150. Further, in an investigation of potential site quality changes, we find that divers are sensitive to scope effects with an additional cave system increasing annual per-person use values by approximately $130, while improved access yields an additional$57 in per-person annual consumer surplus. Finally, three additional model specifications are estimated and indicate that divers use different travel cost preferences when assessing their revealed and stated preference trip counts but a single preference structure to evaluate site quality changes. Key Words: Revealed and Stated Behavior; Scope Effects; Access; Travel Cost Preferences

NASCAR Sponsorship And Shareholder Return: Some Preliminary Results

NASCAR sponsorship is a major investment for corporations that choose it as a marketing communication tool. Companies frequently spend in excess of $10 million to sponsor a car in the Nextel Cup series. This paper develops a return on investment measure for that spending using the financial market event study methodology where race day performance influence on publicly traded sponsoring firm’s stock returns is examined. Results for the 2005 NASCAR Nextel Cup season suggest that sponsorship of top 5 finishing cars generates significant positive returns for the sponsoring company shareholders

Diving Demand for Large Ship Artificial Reefs

Using data drawn from a web-based travel cost survey, we jointly model revealed and stated preference trip count data in an attempt to estimate the recreational use value from diving the intentionally sunk USS Oriskany. Respondents were asked to report their: (i) actual trips from the previous year, (ii) anticipated trips in the next year, and (iii) anticipated trips next year assuming a second diveable vessel (a Spruance class destroyer) is sunk in the same vicinity. Results from several different model specifications indicate average per-person, per-trip use values range from $480 to$750. The “bundling†of a second vessel in the area of the Oriskany to create a multiple-ship artificial reef area adds between $220 and$1,160 per diver per year in value.Artificial reefs, diving, recreation demand, combined revealed and stated preferences, non-market valuation, Institutional and Behavioral Economics, Marketing, Productivity Analysis, Public Economics, Research Methods/ Statistical Methods, Q26, Q50,

Oyster Demand Adjustments to Counter-Information and Source Treatments in Response to Vibrio vulnificus

A web-based contingent behavior analysis is developed to quantity the effect of both negative and positive information treatments and post harvest processes (PHP) on demand for oysters. Results from a panel model indicate that consumers of raw and cooked oysters behave differently after news of an oyster-related human mortality. While cooked oyster consumers take precautionary measures against risk, raw oyster consumers exhibit optimistic bias and increase their consumption level. Further, by varying the source of a counter-information treatment, we find that source credibility impacts behavior. Oyster consumers, and in particular, raw oyster consumers, are most responsive to information provided by a not-for-profit, non-governmental organization. Finally, post harvest processing of oysters has no impact on demand. Key Words: Oyster demand; consumer behavior; non-market valuation; Vibrio vulnificus; information treatments; source credibility; optimistic bias

Oyster Demand Adjustments to Counter-Information and Source Treatments in Response to Vibrio vulnificus

A web-based contingent behavior analysis was developed to quantify the effect of both negative and positive information treatments and post harvest processes on demand for oysters. Results from a panel model indicate that consumers of raw and cooked oysters behave differently after news of an oyster-related human mortality. While cooked oyster consumers take precautionary measures against risk, raw oyster consumers exhibit optimistic bias and increase their consumption level. Further, by varying the source of a counter-information treatment, we find that source credibility impacts behavior. Oyster consumers, and in particular, raw oyster consumers, are most responsive to information provided by a not-for- profit, nongovernmental organization. Finally, post harvest processing of oysters has no impact on demand.consumer behavior, information treatments, non-market valuation, optimistic bias, Oyster demand, source credibility, Vibrio vulnificus, Agribusiness, Demand and Price Analysis, Food Consumption/Nutrition/Food Safety, Institutional and Behavioral Economics, Q18, Q13, Q58,

Artificial Reef Attributes and The Relationship With Natural Reefs: Evidence From The Florida Keys

Natural or coral reefs represent extremely valuable ecosystems supporting an estimated 25 percent of all marine life, yet recent reports suggest that 75 percent of the world’s natural reefs are under threat from both natural and human stressors. In areas such as the Florida Keys that boasts an expansive mix of natural and artificial reefs, recreational diving on the system provides an important economic contribution to the local community but also potentially contributes to the stress of the existing natural reef system. We develop a revealed and stated preference modeling framework of diver behavior and find that deployment of an additional large ship reef increases overall diving activity but does not impact diving behavior on the natural reef system

A Revealed and Stated Preference Latent Class Model to Examine Homogenous Subgroup Consumer Behavior Responses to Information and Food Safety Technology Treatments

The combination and joint estimation of revealed and stated preference (RP/SP) data approach to examining consumer preferences to relevant policy-based measures has exclusively considered aggregate data and behavior of the average individual. However, in policy-based analyses, where the research is often driven by understanding how different individuals react to different or similar scenarios, a preferred approach would be to analyze preferences of homogenous population subgroups. We accomplish this by developing a latent class RP/SP analysis that examines whether homogenous subgroups (or classes) of the population, based on individual health and behavioral characteristics, respond differently to health-risk information and new food safety technology. The ongoing efforts by the U.S. Food and Drug Administration to reduce illness and death associated with consuming raw Gulf of Mexico oysters provide an ideal platform for the analysis as the health risks only relate to a very specific subgroup of consumer. Results from the probabilistic latent class model indicate that the vulnerable at-risk consumers respond differently to the information treatments than other subgroups, illustrating why educational information brochures have had little impact on reducing annual deaths from consuming raw oysters. Also, findings across all subgroups provide strong empirical evidence that the new FDA policy requiring processing technology to be used in oyster production will have detrimental effects on the oyster industry. Key Words: Food safety technology, health-risk information, latent class analysis, revealed preference, stated preference

Rarity of monodominance in hyperdiverse Amazonian forests.

Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such "monodominant" forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees ≥ 10 cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors