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Community Attributes Influencing Local Food Processing Growth in the U.S. Corn Belt
Author(s) -
Henderson Jason R.,
McNamara Kevin T.
Publication year - 1997
Publication title -
canadian journal of agricultural economics/revue canadienne d'agroeconomie
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.505
H-Index - 37
eISSN - 1744-7976
pISSN - 0008-3976
DOI - 10.1111/j.1744-7976.1997.tb00206.x
Subject(s) - ordinary least squares , food processing , food industry , business , industrial organization , agricultural economics , economic geography , econometrics , economics , food science , chemistry
This paper examines local and regional attributes associated with growth in the food processing industry. The paper uses industrial location studies to develop a model of food processing plants’growth. Ordinary least squares (OLS) models are estimated to analyze which local, regional and state attributes are associated with county level growth, measured by a change in the number of establishments. The results suggest that food processing growth is associated with factors similar to those influencing the location of footloose manufacturing plants. However, growth in food processing sectors is associated with different local attributes depending on a firm's industry type (demand‐oriented, supply‐oriented, footloose).