The Spatial Distribution of Social Capital and Media Activity in the United States
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The spatial distribution of social capital at the county scale for the United States (U.S.) is estimated and explained by media activity, socioeconomic characteristics, and levels of social capital in adjoining localities. A Geographic Information System is used to generate portraits of social capital, television use, newspaper use, and internet use at the county scale. A local indicator of spatial autocorrelation is also calculated to find regional clusters of social capital. High clusters of social capital are found in the Northeast and the Breadbasket states of Iowa, Nebraska, Kansas, Minnesota, and the Dakota’s. Low value clusters of social capital are found in the South and de-industrialized Midwest. A thin diagonal band of counties, extending from southern Michigan to west Texas cleaves regional clusters of High-High (HH) and Low-Low (LL) social capital. Spatial lag regression results indicate that local social capital is positively predicted by newspaper and internet use, and negatively predicted by heavy television use, controlling for socioeconomic variables.
Abstract
The spatial distribution of social capital at the county scale for the United States (U.S.) is estimated and explained by media activity, socioeconomic characteristics, and levels of social capital in adjoining localities. A Geographic Information System is used to generate portraits of social capital, television use, newspaper use, and internet use at the county scale. A local indicator of spatial autocorrelation is also calculated to find regional clusters of social capital. High clusters of social capital are found in the Northeast and the Breadbasket states of Iowa, Nebraska, Kansas, Minnesota, and the Dakota’s. Low value clusters of social capital are found in the South and de-industrialized Midwest. A thin diagonal band of counties, extending from southern Michigan to west Texas cleaves regional clusters of High-High (HH) and Low-Low (LL) social capital. Spatial lag regression results indicate that local social capital is positively predicted by newspaper and internet use, and negatively predicted by heavy television use, controlling for socioeconomic variables.
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