Associations between socioeconomic status and hunting license sales among census tracts in Cook County, Illinois

References

• Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27, 93–115.
   Web of Science ®Google Scholar
• Ayalew, L., Yamagishi, H., & Ugawa, N. (2004). Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides, 1(1), 73–81. doi:10.1007/s10346-003-0006-9
   Web of Science ®Google Scholar
• Bissell, S. J., Duda, M. D., & Young, K. C. (1998). Recent studies on hunting and fishing participation in the United States. Human Dimensions of Wildlife, 3, 75–80. doi:10.1080/10871209809359118
   Google Scholar
• Brunke, K. E., & Hunt, K. M. (2008). Mississippi waterfowl hunter expectations, satisfaction, and intentions to hunt in the future. Human Dimensions of Wildlife, 13, 317–328. doi:10.1080/10871200802227422
   Google Scholar
• Daigle, J. J., Hrubes, D., & Ajzen, I. (2002). A comparative study of beliefs, attitudes, and values among hunters, wildlife viewers, and other outdoor recreationists. Human Dimensions of Wildlife, 7, 1–19. doi:10.1080/108712002753574756
   Google Scholar
• Duda, M. D., Bissell, S. J., & Young, K. C. (1996). Factors related to hunting and fishing participation in the United States. Transactions of the North American Wildlife and Natural Resources Conference (pp. 324–337). Washington: Wildlife Management Institute.
   Google Scholar
• ESRI. (2011). ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute.
   Google Scholar
• Estabrooks, P. A., Lee, R. E., & Gyurcsik, N. C. (2003). Resources for physical activity participation: Does availability and accessibility differ by neighborhood socioeconomic status? Annals of Behavioral Medicine, 25, 100–104. doi:10.1207/S15324796ABM2502_05
   PubMed Web of Science ®Google Scholar
• Floyd, M. F., & Lee, I. (2002). Who buys fishing and hunting licenses in Texas? Results from a statewide household survey. Human Dimensions of Wildlife, 7, 91–106. doi:10.1080/10871200290089364
   Google Scholar
• Frawley, B. J. (2004). Demographics, recruitment, and retention of Michigan hunters. Wildlife Division Report # 3426. Michigan Department of Natural Resources, Wildlife Division.
   Google Scholar
• Heberlein, T. A., & Ericsson, G. (2005). Ties to the countryside: Accounting for urbanites attitudes toward hunting, wolves, and wildlife. Human Dimensions of Wildlife, 10, 213–227. doi:10.1080/10871200591003454
   Google Scholar
• Karns, G. R., Bruskotter, J. T., & Gates, R. J. (2015). Explaining hunting participation in Ohio: A story of changing land use and new technology. Human Dimensions of Wildlife, 20, 484–500. doi:10.1080/10871209.2015.1073409
   Web of Science ®Google Scholar
• Lalloué, B., Monnez, J. M., Padilla, C., Kihal, W., Le Meur, N., Zmirou-Navier, D., & Deguen, S. (2013). A statistical procedure to create a neighborhood socioeconomic index for health inequalities analysis. International Journal for Equity in Health, 12, 11. doi:10.1186/1475-9276-12-21
   PubMed Web of Science ®Google Scholar
• Larson, L. R., Stedman, R. C., Decker, D. J., Siemer, W. F., & Baumer, M. S. (2014). Exploring the social habitat for hunting: Toward a comprehensive framework for understanding hunter recruitment and retention. Human Dimensions of Wildlife, 19, 105–122. doi:10.1080/10871209.2014.850126
   Google Scholar
• Lee, K. H., & Schuett, M. A. (2014). Exploring spatial variations in the relationships between residents’ recreation demand and associated factors: A case study in Texas. Applied Geography, 53, 213–222. doi:10.1016/j.apgeog.2014.06.018
   Web of Science ®Google Scholar
• Lee, R. E., Cubbin, C., & Winkleby, M. (2007). Contribution of neighbourhood socioeconomic status and physical activity resources to physical activity among women. Journal of Epidemiology and Community Health, 61, 882–890. doi:10.1136/jech.2006.054098
   PubMed Web of Science ®Google Scholar
• Lindström, M., Hanson, B. S., & Östergren, P. (2001). Socioeconomic differences in leisure-time physical activity: The role of social participation and social capital in shaping health related behaviour. Social Science & Medicine, 52, 441–451. doi:10.1016/S0277-9536(00)00153-2
   PubMed Web of Science ®Google Scholar
• Mehmood, S., Zhang, D., & Armstrong, J. (2003). Factors associated with declining hunting license sales in Alabama. Human Dimensions of Wildlife, 8, 243–262. doi:10.1080/716100423
   Google Scholar
• Meijer, M., Engholm, G., Grittner, U., & Bloomfield, K. (2013). A socioeconomic deprivation index for small areas in Denmark. Scandinavian Journal of Public Health, 41, 560–569. doi:10.1177/1403494813483937
   PubMed Web of Science ®Google Scholar
• Miller, C. A., & Vaske, J. J. (2003). Individual and situational influences on declining hunter effort in Illinois. Human Dimensions of Wildlife, 8, 263–276. doi:10.1080/716100421
   Google Scholar
• Moore, L. V., Diez Roux, A. V., Evenson, K. R., McGinn, A. P., & Brines, S. J. (2008). Availability of recreational resources in minority and low socioeconomic status areas. American Journal of Preventive Medicine, 34, 16–22. doi:10.1016/j.amepre.2007.09.021
   PubMed Web of Science ®Google Scholar
• Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37, 17–23. doi:10.1093/biomet/37.1-2.17
   PubMed Web of Science ®Google Scholar
• Osborn, A. F., & Morris, T. C. (1979). The rationale for a composite index of social class and its evaluation. British Journal of Sociology, 30, 39–60. doi:10.2307/589500
   Web of Science ®Google Scholar
• Powell, L. M., Slater, S., Chaloupka, F. J., & Harper, D. (2006). Availability of physical activity–Related facilities and neighborhood demographic and socioeconomic characteristics: A national study. Journal Information, 96, 1676–1680.
   Google Scholar
• Robison, K. K., & Ridenour, D. (2012). Whither the love of hunting? Explaining the decline of a major form of rural recreation as a consequence of the rise of virtual entertainment and urbanism. Human Dimensions of Wildlife, 17, 418–436. doi:10.1080/10871209.2012.680174
   Google Scholar
• Ryan, E. L., & Shaw, B. (2011). Improving hunter recruitment and retention. Human Dimensions of Wildlife, 16, 311–317. doi:10.1080/10871209.2011.559530
   Google Scholar
• Schultz, J. H., Millspaugh, J. J., Zekor, D. T., & Washburn, B. E. (2003). Enhancing sport hunting opportunities for urbanites. Wildlife Society Bulletin, 31, 565–573.
   Web of Science ®Google Scholar
• Steadman, R. C., Larson, L. L., Tidball, K. G., Tidball, M., & Curtis, P. D. (2017). Hunting and the local food movement: Insights from central New York State. The Wildlife Society Bulletin, 41, 720–728. doi:10.1002/wsb.802
   Web of Science ®Google Scholar
• Tsachalidis, E. P., & Hadjisterkotis, E. (2008). Wild boar hunting and socioeconomic trends in northern Greece, 1993–2002. European Journal of Wildlife Research, 54, 643–649. doi:10.1007/s10344-008-0190-y
   Web of Science ®Google Scholar
• U.S. Census Bureau; American Community Survey. (2016a). Age dependency ratio. Retrieved from http://factfinder.census.gov/help/en/age_dependency_ratio.htm.
   Google Scholar
• U.S. Census Bureau; American Community Survey. (2016b). Old dependency ratio. Retrieved from http://factfinder.census.gov/help/en/old_age_dependency_ratio.htm.
   Google Scholar
• U.S. Department of the Interior, U.S. Fish and Wildlife Service, and U.S. department of Commerce, U.S. Census Bureau. (2011). National survey of fishing, hunting, and wildlife-associated recreation. Retrieved from https://www.census.gov/prod/2012pubs/fhw11-nat.pdf
   Google Scholar
• U.S. Department of the Interior, U.S. Fish and Wildlife Service, and U.S. department of Commerce, U.S. Census Bureau. (2016). National survey of fishing, hunting, and wildlife-associated recreation. Retrieved from https://wsfrprograms.fws.gov/subpages/nationalsurvey/nat_survey2016.pdf
   Google Scholar
• Vaske, J. J. (2008). Survey research and analysis: Applications in parks, recreation and human dimensions (pp. 658). State College, Pennsylvania: Venture Publishing Inc.
   Google Scholar
• Williams, B. D., Miller, C. A., & Campbell, L. K. (2013). 2012-2013 Illinois waterfowl hunter report: Effort, harvest, and season preferences. Job completion report, federal aid in wildlife restoration W-112-R-22. Human Dimensions Research Program Report HR-13-03/INHS Technical Report 2013 (42). Illinois Natural History Survey, Champaign, IL. pp. 61.
   Google Scholar
• Wilson, D. K., Kirtland, K. A., Ainsworth, B. E., & Addy, C. L. (2004). Socioeconomic status and perceptions of access and safety for physical activity. Annals of Behavioral Medicine, 28, 20–28. doi:10.1207/s15324796abm2801_4
   PubMed Web of Science ®Google Scholar
• Wu, W., & Zhang, L. (2013). Comparison of spatial and non-spatial logistic regression models for modeling the occurrence of cloud cover in north-eastern Puerto Rico. Applied Geography, 37, 52–62. doi:10.1016/j.apgeog.2012.10.012
   Web of Science ®Google Scholar