This study pursues who the proponents and opponents of casino gaming are, focusing on the currently debated introduction of land-based casinos in Kentucky. A survey was conducted with 600 randomly sampled residents. Qualitative Choice Models were considered to identify the factors that contributed to residents’ support for or opposition to casino gaming. A Logistic Regression (Logit) model was chosen and education, employment status, and religion were found significant in the model. The fact that more respondents opposed the legalization of the proposed land-based casino gaming leaves the debate wide open to continued discussion.
Brown, D. (2001). A socioeconomic and trip profile of Kentucky visitors based on their gaming activity and destination-specific behavior. Journal of Vacation Marketing, 7(1), 41-49.
2.
Caneday, L., & Zeiger, J. (1991). The social, economic, and environmental costs of tourism to a gaming community as perceived by its residents. Journal of Travel Research, 30(2), 45-49.
3.
Chen, J. S. (2001). Assessing and visualizing tourism impacts from urban residents’ perspectives. Journal of Hospitality & Tourism Research, 25(3), 235-250.
4.
DeMaris, A. (1992). Logit modeling: Practical application. (Sage University Paper series on quantitative applications in the social sciences, series no. 07-086). Newbury Park, CA: Sage.
5.
Eadington, W. R. (1986). Impact of casino gambling on the community: Comments on Pizam and Pokela. Annals of Tourism Research, 13(2), 279-282.
6.
Evart, C. (1994). Troublesome environmental concerns: Some suggested solutions. In The Advocacy, Witness, and Justice Ministries Unit of the National Episcopal Church and the Diocese of Nevada (Ed.), The social, economic and environmental consequences of casino gambling (pp. 41-46). New York: The Advocacy, Witness, and Justice Ministries Unit of the National Episcopal Church and the Diocese of Nevada.
7.
Garson, D. (2002). Log-linear, logit, and probit models. Retrieved June 12, 2003, from http://www2.chass.ncsu.edu/garson/pa765/logit.htm.
8.
Giacopassi, D., & Stitt, B. G. (1993). Assessing the impact of casino gambling on crime in Mississippi. American Journal of Criminal Justice, 18(1), 117-131.
9.
Goldfelt, S. M., & Quandt, R. E. (1972). Nonlinear methods in econometrics. Amsterdam, the Netherlands: North-Holland.
10.
Griffiths, W. E., Hill, R. C., & Judge, G. G. (1993). Learning and practicing econometrics. New York: John Wiley.
11.
Gursoy, D., Jurowski, C., & Uysal, M. (2002). Resident attitudes: a structural modeling approach. Annals of Tourism Research, 29(1), 79-105.
12.
Hair, J., Anderson, R., Tatham, R., & Black, W. (1998). Multivariate data analysis (5th ed.). New York: Macmillan.
13.
Hakim, S., & Buck, A. J. (1987). Do casinos enhance crime?Journal of Criminal Justice, 17(5), 409-416.
14.
Hanushek, E. A., & Jackson, J. E. (1977). Statistical methods for social scientists. New York: Academic Press.
15.
Hosmer, D. W., & Lemeshow, S. (1989). Applied logistic regression. New York: John Wiley.
16.
Hsu, C. (1998). Impacts of riverboat gaming on community quality. Journal of Hospitality & Tourism Research, 22(4), 323-337.
17.
Hsu, C. (2000). Residents’support for legalized gaming and perceived impacts of riverboat casinos: Changes in five years. Journal of Travel Research, 38(4), 390-395.
18.
Judge, G. G., Griffiths, W. E., Hill, R. C., & Lee, T. C. (1980). The theory and practice of econometrics. New York: John Wiley.
19.
Kennedy, P. (1998). A guide to econometrics (4th ed.). Cambridge, MA: The MIT Press.
20.
Ko, D., & Stewart, W. P. (2002). A structural equation model of residents’attitudes for tourism development. Tourism Management, 23(5), 521-530.
21.
Labalme, J. (1994). The great riverboat gamble. Southern Exposure: A Journal of Politics and Culture, 22(2), 10-14.
22.
Lee, C., Kim, S., & Kang, S. (2003). Perceptions of casino impacts—A Korean longitudinal study. Tourism Management, 24(1), 45-55.
23.
Lindberg, K., & Johnson, R. L. (1997). Modeling resident attitudes toward tourism. Annals of Tourism Research, 24(2), 402-424.
24.
Long, P., Clark, J., & Liston, D. (1994). Win, lose, or draw? Gambling with America’s small towns. Washington, DC: The Aspen Institute.
25.
Maddala, G. S. (1983). Limited-dependent and qualitative variables in econometrics. Cambridge, UK: Cambridge University Press.
26.
Mittelhammer, R. C., Judge, G. G., & Miller, D. J. (2000). Econometric foundations. Cambridge, UK: Cambridge University Press.
27.
Moseley, C. B., Schwer, K., & Thompson, W. S. (2003). Elderly casino gambling behavior: Marketing implications. Journal of Hospitality & Leisure Marketing, 10(1/2), 87-99.
28.
Perdue, R. R, Long, P. T., & Kang, Y. S. (1995). Resident support for gambling as a development strategy. Journal of Travel Research, 34(2), 3-11.
29.
Pindyck, R. S., & Rubinfeld, D. D. (1981). Econometric models and economic forecasts. New York: McGraw-Hill.
30.
Pizam, A., & Pokela, J. (1985). The perceived impacts of casino gambling on a community. Annals of Tourism Research, 12(2), 147-165.
31.
Roehl, W. S. (1994). Gambling as a tourist attraction: Trends and issues for the 21st century. In A. V. Seaton (Ed.), Tourism: The state of the art (pp. 156-168). New York: John Wiley.
32.
Stokowski, P. A. (1996). Riches and regrets: Betting on gambling in two Colorado mountain towns. Niwot, CO: University Press of Colorado.
