IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/50088.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/50088/files/Stewart.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.50088?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Edward Feser & Henry Renski & Harvey Goldstein, 2008. "Clusters and Economic Development Outcomes," Economic Development Quarterly, , vol. 22(4), pages 324-344, November.
    8. 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.
    9. Edward Feser & Andrew Isserman, 2009. "The Rural Role in National Value Chains," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 89-109.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marasteanu, I. Julia & Jaenicke, Edward C., 2014. "Clusters of Organic Operations and their Impact on Regional Economic Growth in the United States," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170336, Agricultural and Applied Economics Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Marasteanu, I. Julia & Jaenicke, Edward C., 2014. "Clusters of Organic Operations and their Impact on Regional Economic Growth in the United States," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170336, Agricultural and Applied Economics Association.
    3. Arndt Reichert & Harald Tauchmann, 2014. "When outcome heterogeneously matters for selection: a generalized selection correction estimator," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 762-768, March.
    4. Jong-Seo Choi & Young-Min Kwak & Chongwoo Choe, 2014. "Earnings Management Surrounding CEO Turnover: Evidence from Korea," Abacus, Accounting Foundation, University of Sydney, vol. 50(1), pages 25-55, March.
    5. Pierre Mohnen & Jacques Mairesse & Marcel Dagenais, 2006. "Innovativity: A comparison across seven European countries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 391-413.
    6. Thewissen, James & Shrestha, Prabal & Torsin, Wouter & Pastwa, Anna M., 2022. "Unpacking the black box of ICO white papers: A topic modeling approach," Journal of Corporate Finance, Elsevier, vol. 75(C).
    7. Myck, Michal & Nici?ska, Anna & Morawski, Leszek, 2009. "Count Your Hours: Returns to Education in Poland," IZA Discussion Papers 4332, Institute of Labor Economics (IZA).
    8. Lippi, Francesco & Secchi, Alessandro, 2006. "Technological change and the demand for currency: An analysis with household data," CEPR Discussion Papers 6023, C.E.P.R. Discussion Papers.
    9. Marc F. Bellemare & Christopher B. Barrett, 2006. "An Ordered Tobit Model of Market Participation: Evidence from Kenya and Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 324-337.
    10. Gabin Langevin & David Masclet & Fabien Moizeau & Emmanuel Peterle, 2017. "Ethnic gaps in educational attainment and labor-market outcomes: evidence from France," Education Economics, Taylor & Francis Journals, vol. 25(1), pages 84-111, January.
    11. Lechmann, Daniel S. J., 2013. "Can working conditions explain the return-to-entrepreneurship puzzle?," Discussion Papers 86, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    12. Patrick A. Puhani, 2000. "On the Identification of Relative Wage Rigidity Dynamics," William Davidson Institute Working Papers Series 343, William Davidson Institute at the University of Michigan.
    13. Gorton, Matthew & Sauer, Johannes & Peshevski, Mile & Bosev, Dane & Shekerinov, Darko & Quarrie, Steve, 2009. "Water Communities in the Republic of Macedonia: An Empirical Analysis of Membership Satisfaction and Payment Behavior," World Development, Elsevier, vol. 37(12), pages 1951-1963, December.
    14. Christian Seiler, 2013. "Nonresponse in Business Tendency Surveys: Theoretical Discourse and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 52.
    15. Christine Fauvelle-Aymar & Abel François, 2018. "Place of registration and place of residence: the non-linear detrimental impact of transportation cost on electoral participation," Public Choice, Springer, vol. 176(3), pages 405-440, September.
    16. Corinna Ghirelli, 2015. "Scars of early non-employment for low educated youth: evidence and policy lessons from Belgium," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    17. Sebastian Nielen & Alexander Schiersch, 2014. "Temporary Agency Work and Firm Competitiveness: Evidence from German Manufacturing Firms," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 53(3), pages 365-393, July.
    18. Baumann, Julian & Kritikos, Alexander S., 2016. "The link between R&D, innovation and productivity: Are micro firms different?," Research Policy, Elsevier, vol. 45(6), pages 1263-1274.
    19. Petra Andries & Dirk Czarnitzki, 2014. "Small firm innovation performance and employee involvement," Small Business Economics, Springer, vol. 43(1), pages 21-38, June.
    20. Wiemann, Paul F.V. & Klein, Nadja & Kneib, Thomas, 2022. "Correcting for sample selection bias in Bayesian distributional regression models," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:jlaare:50088. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/waeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.