Agricultural Economics · 2009 · 37 citations · 60 references
Social SciencesEconomicsRegional PlanningEconomic GeographyFood EconomicsRegional EconomicsAgricultural GeographyFood Distribution EconomicsFood Industry EconomicsIndustrial LocationSpatial EconometricsUrban Economic GeographyFirm Location PatternsIndustry Location ForecastingNegative Binomial DistributionNegative Binomial ModelsNegative Binomial RegressionRegional ClusteringSpatial DeterminantsSpatial Market Structure
Abstract Infrastructure, agglomeration, product and input markets, fiscal attributes, and labor markets of local communities influenced food manufacturing location decisions in the lower 48 United States, 2000–2004. Negative binomial regression and spatial clustering methods forecast food processor location patterns at the county level. Noncore counties are at a comparative disadvantage with respect to attracting most food processors, but nonmetropolitan counties adjacent to urban areas may be attractive investment sites for footloose, supply, and demand‐oriented food manufacturers.
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