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Labor-Force Heterogeneity as a Source of Agglomeration Economies in an Empirical Analysis of County-Level Determinants of Food Plant Entry

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  • Davis, David E.
  • Schluter, Gerald E.

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://mpra.ub.uni-muenchen.de/6654/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 6654.

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Date of creation: Dec 2005
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Publication status: Published in Journal of Agricultural and Resource Economics 3.30(2005): pp. 480-501
Handle: RePEc:pra:mprapa:6654

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Keywords: agglomeration externalities; business location determinants; food manufacturing; labor heterogeneity; rural development;

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Cited by:
  1. 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.
  2. 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.
  3. 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. 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.
  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.
  6. Marasteanu, I. Julia & Jaenicke, Edward C., 2013. "Agglomeration and Spatial Dependence in Certified Organic Operations in the United States," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149551, Agricultural and Applied Economics Association.
  7. Brown, Jason & Lambert, Dayton, 2014. "Location decisions of natural gas extraction establishments: a smooth transition count model approach," Research Working Paper RWP 14-5, Federal Reserve Bank of Kansas City.

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