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Abstract
In the United States, public television claims itself a champion of localism. A prime-time schedule analysis of the Public Broadcasting Service's (PBS) member stations establishes localism scores, and discriminant analysis finds variables that predict differences among stations. Market level variables (income, education, ethnic diversity, geographic component) and organizational level variables (Community Service Grants, membership funding, overall revenue) affect localization of member stations' schedules. This is the first empirical study utilizing a structural operationalization of localism, inclusive of all programming genres, applied to PBS member stations.
Notes
The authors thank the Corporation for Public Broadcasting and PBS member stations for contributing data for this project, and Corryn Fraser and Angela Shaw for their help in entering data for this project.
*Largest absolute correlation between each variable and discriminate function.
aDo not interpret loadings unless they are .3 or higher.
1Ethnic Diversity = 1 − (percent of white population)2 + (percent of Hispanic population)2 + (percent of African-American population)2 + (percent of Asian population)2 + (percent of Native Hawaiian and Other Pacific Islander)2 + (percent of two or more races)2 + (percent of American Indian and Alaska Native)2 + (percent of Other)2.
2Following are the list of 20 items of total revenue: amounts provided directly by federal government agencies, amounts provided by public broadcasting entities, local boards and departments of education or other local government or agency sources, state boards and departments of education or other state government or agency sources, state colleges and universities, other state-supported colleges and universities, private colleges and universities, foundations and nonprofit associations, business and Industry, memberships and subscriptions (net of write-offs), revenue from friends groups less any revenue included on line, revenue from subsidiary enterprises and related organizations, auction revenue, special fundraising activities, passive income, gains and losses on investments, charitable trusts and gift annuities and sale of other assets (other than endowment funds), endowment revenue (contributions plus interest and dividends), capital fund contributions, gifts and bequests from major individual donors and other funds.