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

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. Bus...

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Main Authors: Lance A. Stewart, Dayton M. Lambert, Michael D. Wilcox, Burton C. English
Format: Article
Language:English
Published: Western Agricultural Economics Association 2009-04-01
Series:Journal of Agricultural and Resource Economics
Subjects:
Online Access:https://ageconsearch.umn.edu/record/50088
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author Lance A. Stewart
Dayton M. Lambert
Michael D. Wilcox
Burton C. English
author_facet Lance A. Stewart
Dayton M. Lambert
Michael D. Wilcox
Burton C. English
author_sort Lance A. Stewart
collection DOAJ
description 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.
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spelling doaj.art-d7a727effcdc4d9a889d3448c801a0752022-12-22T01:48:21ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82852009-04-0134117219510.22004/ag.econ.5008850088Tennessee Agriculture and Forestry Industry Clusters and Economic Performance, 2001-2006Lance A. StewartDayton M. LambertMichael D. WilcoxBurton C. EnglishIndustry 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.https://ageconsearch.umn.edu/record/50088comparative advantageeconomic developmentindustry clustersnonparametric clusteringvalue chains
spellingShingle Lance A. Stewart
Dayton M. Lambert
Michael D. Wilcox
Burton C. English
Tennessee Agriculture and Forestry Industry Clusters and Economic Performance, 2001-2006
Journal of Agricultural and Resource Economics
comparative advantage
economic development
industry clusters
nonparametric clustering
value chains
title Tennessee Agriculture and Forestry Industry Clusters and Economic Performance, 2001-2006
title_full Tennessee Agriculture and Forestry Industry Clusters and Economic Performance, 2001-2006
title_fullStr Tennessee Agriculture and Forestry Industry Clusters and Economic Performance, 2001-2006
title_full_unstemmed Tennessee Agriculture and Forestry Industry Clusters and Economic Performance, 2001-2006
title_short Tennessee Agriculture and Forestry Industry Clusters and Economic Performance, 2001-2006
title_sort tennessee agriculture and forestry industry clusters and economic performance 2001 2006
topic comparative advantage
economic development
industry clusters
nonparametric clustering
value chains
url https://ageconsearch.umn.edu/record/50088
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