An Analysis of Climatic and Economic Conditions Affecting Tourism in the Coastal Region of North Carolina

Regression Analysis;Tourism

Carr, Jessica Leigh ; Karla Henderson, Committee Member,Larry Gustke, Committee Co-Chair,Gene Brothers, Committee Chair,Carr, Jessica Leigh ; Karla Henderson ; Committee Member ; Larry Gustke ; Committee Co-Chair ; Gene Brothers ; Committee Chair

University:North Carolina State University

关键词: Regression Analysis;    Tourism;   

Others  :  https://repository.lib.ncsu.edu/bitstream/handle/1840.16/2283/etd.pdf?sequence=1&isAllowed=y

美国|英语

来源: null

【 摘 要 】

The purpose of this research is to investigate selected climatic and economic conditions affecting tourism in the Coastal Region of North Carolina by using multiple regression analysis and comparing multiple models to determine the best fitting model(s). The research expands on current quantitative data obtained in the area to provide applications for tourism. This study is exploratory to determine if the applications of regression modeling can provide a better understanding of the tourists’ consumer behavior and to provide a tool for tourism professionals to develop and implement policies and planning to maximize visitation. The research involves the application of standard linear multiple regression analysis for eight explanatory variables chosen based on literature and availability of data. The variables included in the research are rooms rented (represented by room demand), room supply, average daily rate, travel price index, gas prices for the lower eastern region of the United States, maximum temperature, minimum temperature, and precipitation averaged on a monthly basis. The results indicate that the climatic and economic variables used in this study explain over three-fourths of visitation to the Coastal Region of North Carolina. Temperature has the greatest explanatory power of all the variables used in the models to explain tourism to the Coastal Region.Precipitation had the least explanatory power within the models. The study provides empirical evidence of the impact of climatic and economic conditions on tourism, which indicates the influence they have on tourist behavior.