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Tennessee Agriculture and Forestry Industry Clusters and Economic Performance, 2001-2006

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  • Stewart, Lance A.
  • Lambert, Dayton M.
  • Wilcox, Michael D.
  • English, Burton C.

Abstract

Industry cluster identification methods determine linkages between purchasers and suppliers at the county level for 447 economic sectors in Tennessee. Using an econometric model, the cluster analysis is extended to estimate which value chains contributed to economic growth between 2001 and 2006. Businesses making up the agriculture and forestry clusters enjoyed increased output per job in 34% and 32%, respectively, of Tennessee's counties. The spatial pattern of these findings was significant, suggesting that some counties may benefit from regional coordination of projects designed to enhance or retain businesses in these industry clusters.

Suggested Citation

  • Stewart, Lance A. & Lambert, Dayton M. & Wilcox, Michael D. & English, Burton C., 2009. "Tennessee Agriculture and Forestry Industry Clusters and Economic Performance, 2001-2006," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(1), pages 1-24, April.
    • Handle: RePEc:ags:jlaare:50088
    DOI: 10.22004/ag.econ.50088
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    References listed on IDEAS

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    1. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    2. Henry Renski & Jun Koo & Edward Feser, 2007. "Differences in Labor versus Value Chain Industry Clusters: An Empirical Investigation," Growth and Change, Wiley Blackwell, vol. 38(3), pages 364-395, September.
    3. Kraybill, David S. & Johnson, Thomas G., 1989. "Value-Added Activities As A Rural Development Strategy," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(1), pages 1-10, July.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Edward Feser & Edward Bergman, 2000. "National Industry Cluster Templates: A Framework for Applied Regional Cluster Analysis," Regional Studies, Taylor & Francis Journals, vol. 34(1), pages 1-19.
    6. Edward Feser & Andrew Isserman, 2009. "The Rural Role in National Value Chains," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 89-109.
    7. Edward Feser & Henry Renski & Harvey Goldstein, 2008. "Clusters and Economic Development Outcomes," Economic Development Quarterly, , vol. 22(4), pages 324-344, November.
    8. Caron H. John & Richard W. Pouder, 2006. "Technology Clusters versus Industry Clusters: Resources, Networks, and Regional Advantages," Growth and Change, Wiley Blackwell, vol. 37(2), pages 141-171, June.
    9. David L. Barkley & Mark S. Henry, 1997. "Rural Industrial Development: To Cluster or Not to Cluster?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 19(2), pages 308-325.
    10. Kraybill, David S. & Johnson, Thomas G., 1989. "Value-Added Activities as a Rural Development Strategy," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 21(1), pages 27-36, July.
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    Cited by:

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