摘要 :
This report is based on a survey of the 'General Visitor' population of Monroe County conducted as part of the 'Socioeconomic Study of Reefs in Southeast Florida'. The Reef Study was a multi-agency partnership between the National...
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This report is based on a survey of the 'General Visitor' population of Monroe County conducted as part of the 'Socioeconomic Study of Reefs in Southeast Florida'. The Reef Study was a multi-agency partnership between the National Oceanic and Atmospheric Administration (NOAA), the Florida Fish and Wildlife Conservation Commission and the four counties of Palm Beach, Broward, Miami-Dade and Monroe. Visitors to Monroe County were defined as all those that were not permanent residents of Monroe County. Under this definition, visitors to Monroe County include residents of neighboring counties and seasonal visitors, as well as people on business trips or those just passing through. In this report, we provide a profile of the 'General Visitor' population of Monroe County and provide estimates of the economic contribution that visitors make to the Monroe County economy. Expenditures by visitors are limited to those trip expenditures made in Monroe County. Economic contribution is measured as output/sales, income, and the number of full and part-time jobs, in Monroe County only. To estimate total expenditures and economic contribution requires estimates of total visitation. The Reef Study included estimation of the total number of visitors in the 'General Visitor' population as measured by the number of person-trips and the number of person-days. Profiles are provided and comparisons made between summer and winter visitors. The summer was defined as June - November 2000 and the winter was defined as December 2000 - May 2001. The year for this study was therefore defined as from June 2000 through May 2001. Throughout this report we present comparisons between summer and winter visitors. For continuous variables such as annual visits, annual days, length of stay (days or nights), age, party size and expenditures per person trip we used two-sample T-tests for differences in the means. For discrete variables (categorical response variables) or continuous for which we produced intervals for bar chart presentation, we used a non-parametric test for differences in the distributions. The test used was the Kolgromove-Smirnoff two-sample test. The basis used for deciding statistical significance was the five (5) percent level of significance.
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