Spatial Analysis of Forests Products Manufacturer Clusters in Louisiana

Authors

  • Francisco X. Aguilar
  • Richard P. Vlosky

Keywords:

Forest products industry, clusters, spatial analysis, Louisiana

Abstract

The forest products (FP) industry is the most important segment of the agricultural sector in the state of Louisiana with regard to farm gate value and added value. According to Michael Porter, the FP industry has cluster characteristics concentrating in geographic areas due to competitive advantages. This analysis explores the spatial distribution of Primary and Secondary FP manufacturers in Louisiana in order to identify spatial clusters and model industry frequencies as a function of socio-economic variables. Forest Products industry, socio-economic, and geographic data were obtained from the Louisiana Forest Products Development Center and the U.S. Census Bureau. Results suggest that Primary FP companies show a higher spatial dependency compared to Secondary FP manufacturers as well as evidence of clustering of Secondary FP manufacturers. Regression analysis shows that total population is the variable most significantly correlated to clustering of Secondary FP manufacturers.

References

Andersson, M. 2002. Spatial allocation of forest production. Aspects on multiple-use forestry in Sweden. Southern Swedish Forest Research Centre. Doctoral Thesis, Swedish University of Agricultural Sciences. 40 pp.nBailey, T. C., and A. C. Gatrell. 1995. Interactive spatial data analysis. Longman, New York, NY. 413 pp.nBlackman, A., H. Albers, B. Ávalos, and L. Crooks. 2003. Land cover in a managed forest ecosystem: Mexican shade coffee. Resources for the Future. Discussion Paper 03-60. 29 pp.nBraden, R., H. Fossum, I. Eastin, J. Dirks, and E. Lowell. 1998. The role of manufacturing clusters in the Pacific Northwest forest products industry. CINTRAFOR, Seattle, WA. Working paper 66. 43 pp.nCressie, N. Statistics for spatial data. 1993. Wiley Series in Probability and Mathematical Statistics. 928 pp.nDowner, R. 2004. Statistical methods for spatial data analysis. Louisiana State University, Department of Experimental Statistics, Baton Rouge, LA.nFrey, P. 1991. Louisiana Forest Types. Louisiana Department of Agriculture and Forestry. Map.nHallencreutz, D., and P. Lindequist. 2003. Spatial clustering and the potential for policy practice: experiences from cluster-building processes in Sweden. European Planning Studies11(5):533-548.nHardsick, P. 1999. Study of potential benefits of geographic information systems for large fire incident management. USDA Forest Service. 45 pp.nKaluzny S. P., S. Vega, T. Cardoso, and A. Shelly. 1997. S+Spatial Stats: Users' manual for Windows and Unix. Springer, Seattle, WA. 327 pp.nLouisiana Economic Development. 2003. Manufacturing employment. Available at http://www.led.state.la.us/VISION2020/goal2/benchmarks/obj2-1-2.htm'>http://www.led.state.la.us/VISION2020/goal2/benchmarks/obj2-1-2.htmnLouisiana Forest Products Development Center. 2004. Louisiana Directory of Primary and Secondary Forest Products Companies.nLouisiana Forestry Association. 2004. Louisiana Forestry Facts. Alexandria, LA.nLouisiana State University Agricultural Center. 2004. Louisiana progress report 2003. Baton Rouge, Louisiana. http://www.lsuagcenter.com/agsummary/progressreport.aspx'>http://www.lsuagcenter.com/agsummary/progressreport.aspxnMurray, B. 1995. Measuring oligopsony power with shadow prices: U.S. markets for pulpwood and sawlogs. Rev. Econ. Statist.77:486-499.nPeneder, M. 1995. Cluster techniques as a method to analyze industrial competitiveness. Int. Adv. Econ. Res.1(3): 295-304.nPorter, M. E. 1998a. Clusters and the new economics of competition. Harvard Bus. Rev.76(6): 77-91.nPorter, M. E. 1998b. The Adam Smith address: Location, clusters, and the 'new' microeconomics of competition. Bus. Econ.. 33(1):7-14.nPorter, M. E. 2000. Location, competition, and economic development: Local clusters in a global economy. Econ. Develop. Quart.14(1):15-34.nPorter, M. E. 2003. The Economic Performance of Regions. Regional Studies.37 (6/7):545-547.nSchmitz, H. 1995. Collective efficiency: Growth path for small-scale industry. J. Develop. Studies31(4):529-566.nU.S. Census Bureau. 2004a. American Fact Finder. Census 2000 Summary File 3 (SF 3) - Sample Data. U.S. Census Bureau, Washington D.C. Available at http://factfinder.census.gov/home/saff/main.html'>http://factfinder.census.gov/home/saff/main.htmlnU.S. Census Bureau. 2004b. Cartographic Boundary Files. 5-Digit zip Code Tabulation Areas (ZCTAs): 2000. U.S. Census Bureau, Washington D.C. Available at http://www.census.gov/geo/www/cob/bdy_files.html'>http://www.census.gov/geo/www/cob/bdy_files.htmlnVlosky, R.P. and N. P. Chance. 2001. Employment structure and training needs in the Louisiana value-added wood products industry. Forest Prod. J.51(3):34-41.n

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Published

2007-06-05

Issue

Number 1 / January 2006

Section

Research Contributions

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