Spatial Analysis of Rural Economic Development Using a Locally Weighted Regression Model

Seong-Hoon Cho (), Seung Gyu Kim, Christopher D. Clark and William M. Park
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Seung Gyu Kim: University of Tennessee
Christopher D. Clark: University of Tennessee
William M. Park: University of Tennessee

Agricultural and Resource Economics Review, 2007, vol. 36, issue 1, pages 24–38

Abstract: This study uses locally weighted regression to identify county-level characteristics that serve as drivers of creative employment throughout the southern United States. We found that higher per capita income, greater infrastructure investments, and the rural nature of a county tended to promote creative employment density, while higher scores on a natural amenity index had the opposite effect. We were also able to identify and map clusters of rural counties where the marginal effects of these variables on creative employment density were greatest. These findings should help rural communities to promote creative employment growth as a means of furthering rural economic development. Key Words: creative class, locally weighted regression,

Keywords: creative class; locally weighted regression; natural amenities; rural economic development (search for similar items in EconPapers)

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