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Abstract

Results of this study show that a heterogeneous labor force serves to attract new food manufacturing investment. We conduct analysis for SIC 20, Food and Kindred Product Manufacturing, and disaggregate analysis on all nine three-digit SIC food industries. Heterogeneity variables are a significant factor in nearly all specifications. We also examine which factors create the greatest increases in the expected number of new establishments. Areas with a high degree of labor heterogeneity are found to have large advantages. Labor heterogeneity is among the most important factors attracting food manufacturing to urban areas over rural areas.

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File URL: http://purl.umn.edu/30975
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Bibliographic Info

Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

Volume (Year): 30 (2005)
Issue (Month): 03 (December)
Pages:

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Handle: RePEc:ags:jlaare:30975

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Web page: http://waeaonline.org/
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Related research

Keywords: agglomeration externalities; business location determinants; food manufacturing; labor heterogeneity; rural development; Labor and Human Capital;

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Find related papers by JEL classification:

• Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
• R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

References

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Citations

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Cited by:

1. Jason P. Brown & Raymond J.G.M. Florax & Kevin T. McNamara, 2008. "Evolution Of Investment Flows In U.S. Manufacturing:A Spatial Panel Approach," Working Papers 08-06, Purdue University, College of Agriculture, Department of Agricultural Economics.
2. Xu, Wan & Khachatryan, Hayk, 2013. "The Impact of Integrated Pest Management Practices on U.S. National Nursery Industry Annul Sales Revenue: An Application of Smooth Transition Spatial Autoregressive Models," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142961, Southern Agricultural Economics Association.
3. Lambert, Dayton M. & Brown, Jason P. & Florax, Raymond J.G.M., 2010. "A two-step estimator for a spatial lag model of counts: Theory, small sample performance and an application," Regional Science and Urban Economics, Elsevier, vol. 40(4), pages 241-252, July.
   
   • Dayton M. Lambert & Jason P. Brown & Raymond J.G.M. Florax, 2010. "A Two-Step Estimator For A Spatial Lag Model Of Counts: Theory, Small Sample Performance And An Application," Working Papers 10-5, Purdue University, College of Agriculture, Department of Agricultural Economics.
4. Lambert, Dayton M. & Wilcox, Michael D. & English, Alicia & Stewart, Lance A., 2008. "Ethanol Plant Location Determinants and County Comparative Advantage," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(01), April.
5. Jaenicke, Edward C. & Goetz, Stephan J. & Wu, Ping-Chao & Dimitri, Carolyn, 2009. "Identifying and Measuring the Effect of Firm Clusters Among Certified Organic Processors and Handlers," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49205, Agricultural and Applied Economics Association.

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