Kristen Lucas Dr. Sherry Larkin Dr. Chuck Adams.  14,400 mail surveys  1,454 responses  Funded by Florida Wildlife Commission  Topics:  Level of.

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Presentation transcript:

Kristen Lucas Dr. Sherry Larkin Dr. Chuck Adams

 14,400 mail surveys  1,454 responses  Funded by Florida Wildlife Commission  Topics:  Level of knowledge  Level of concern  Information sources  Willingness-to-pay North Central : 1,674 (St. Johns, Flagler, Volusia, and Brevard) Southwest : 6,624 (Manatee, Sarasota, Charlotte, and Lee) Northwest: 6,102 (Gulf, Franklin, Bay, and Okaloosa)

Age distribution (years): Average length of Florida residency:24.2 years N=1,426 Average age of respondents:59.9 years

Education: Annual Income: N=1,431 N=1,322

(Average miles of residence to coast = 8.7 miles) N=1,426

N=1,338

N=1,305 N=1,431

29%Red tides have not affected me 10%Red tides are unpredictable so being concerned serves no purpose 6%Scientists are working on the issue 44%Red tides are a natural occurrence 11%Other 10%Red tides cause economic losses 24%Red tides prevent fishing, beach going, and other marine activities 32%Red tides affect human health 12%Red tides indicate poor water quality 23%Other What is the one reason you are at least somewhat concerned about red tide events in Florida? N=287N=858

I have noticed red tide condition in the water74%26%1,325 I have seen dead animals on the shore during a red tide74%26%1,326 I have experienced the odor of decaying fish on the beach 82%18%1,327 I have (or a member of my family has) experienced burning eyes, scratchy throat or coughing from red tide 69%31%1,336 I have changed plans to visit a beach because of a red tide event 64%36%1,330 I have changed a hotel reservation because of a red tide event 6%94%1,304 I have changed a restaurant reservation because of a red tide event 6%94%1,319 YesNoN

Red tide conditions can vary greatly from one area to another due to winds and currents 92%1%7%1,347 Seafood bought in stores or restaurants is safe to eat during red tides 44%16%40%1,342 Recreationally caught shrimp and crab are safe to eat during a red tide 13%37%50%1,337 Recreationally caught finfish are unsafe to eat during a red tide 32%15%53%1,342 Recreationally caught oysters are unsafe to eat during a red tide 43%9%48%1,342 TFDKN

People with asthma are more likely to notice the effects of red tide 78%12%20%1,343 “Red drift” is just another name for a red tide 17%6%77%1,334 Reddish-brown water indicates that humans will experience respiratory problems 18%32%50%1,344 The algae that causes red tides is always present in the Gulf of Mexico 45%8%47%1,345 Red tides are the same all over the world 9%26%65%1,344 TFDKN

Which of the following statements best describes how frequently you seek information about Florida red tides?

 Respondents presented with 3 WTP scenarios  Prevention  Control  Mitigation  3 price levels: High, Medium and Low  Surveys randomized: 18 versions  Follow-up questions for each scenario  “Yes” responses asked about the certainty of their response  “No” responses asked if there is any amount they would be WTP  Respondents asked to evaluate each independently

Average days spent at beach, per year: 49 days

In general, which type of control most appeals to you? Biological: 56%Chemical: 21%Neither: 23% Did you pay property taxes in the state of Florida in 2009? Yes: 87%No: 13%

Would this program cost you more because you use plant fertilizers in Florida? 55% Yes45% No

 Preliminary modeling in LIMDEP using logit distribution  dichotomous choice (DC) model to estimate “yes” or “no” binary response for each WTP scenario  separate model for each scenario  independent variables include demographics, location, concern with red tide, dependence on local water quality, and the order in which the scenario appears.  distinct variable that is based on whether respondent is affected by strategy for each model

Scenario Grand Constant Delta Method Mitigation($11.70)$3.37 Control$0.69$10.54 Prevention10.4%16.4%

VariableMean Est.  Constant----(2.257) M_Price (Price level)14.774(0.062) M5 (Beach days) Pref_M (Mitigation pref. strategy)16.9%0.737 Q4 (Level of concern)75.2%1.058 *Variables significant at 5% level Notes: N=832;  2=130.93;LnL= ;69% correct predictions

VariableMean Est.  Constant(2.607) C_Price9.995(0.074) C5N21.6%(1.405) CFST30.9%0.418 DV_EST38.4%0.729 DV_SW50.7%0.565 PREF_C21.5%1.856 Q (0.013) Q34.006(0.086) Q476.4%0.605 Q Q *Variables significant at 5% level Notes: N=997;  2=296.97;LnL= ;71% correct predictions

VariableMean Est.  Constant(2.310) Price level5.36(0.069) East coast region dummy variable38.6%1.050 Southwest region dummy variable50.6%0.813 Prevention preferred strategy44.1%2.164 Miles of residence to coast24.069(0.009) Level of concern75.9%0.740 Frequency respondent looks for red tide info *Variables significant at 5% level Notes: N=1016;  2=292.39;LnL= ;74% correct predictions

 Sample concerned with red tide mostly due to health issues  Knowledge of safety of seafood consumption during red tide events lacking  Sample prefers biological to chemical  Sample prefers prevention strategies

 Ordered model: recode binary response variable using respondent’s level of certainty  Probit or other distributions  Functional forms and interaction terms  Follow up phone interviews

Kristen Lucas Dr. Sherry Larkin Dr. Chuck Adams