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An Application of Spatial Poisson Models to Manufacturing Investment Location Analysis

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  • Lambert, Dayton M.
  • McNamara, Kevin T.
  • Garrett, Megan I.
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    Abstract

    The influence product markets, agglomeration, labor, infrastructure, and government fiscal attributes had on manufacturing investment flows in Indiana between 2000 and 2004 were estimated using Poisson regression, geographically weighted regression, and a spatial general linear model. Counties with access to urbanization economies, product markets, available labor, a high-quality workforce, and transport infrastructure were more likely to attract manufacturing investment. These effects were magnified to some extent when inter-county spatial effects were modeled. The distributional assumptions of the spatial models are different, but both methods are useful for understanding the spatial context of the factors influencing manufacturing investment flows.

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    File URL: http://purl.umn.edu/43752
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    Bibliographic Info

    Article provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.

    Volume (Year): 38 (2006)
    Issue (Month): 01 (April)
    Pages:

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    Handle: RePEc:ags:joaaec:43752

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    Web page: http://www.saea.org/jaae/jaae.htm
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    Related research

    Keywords: geographically weighted regression; location determinants; location theory; manufacturing site selection; Poisson spatial generalized linear model; Agribusiness; Industrial Organization; Productivity Analysis; R1; R3;

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    References

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    1. Bartik, Timothy J, 1985. "Business Location Decisions in the United States: Estimates of the Effects of Unionization, Taxes, and Other Characteristics of States," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(1), pages 14-22, January.
    2. Eberts, Randall W. & McMillen, Daniel P., 1999. "Agglomeration economies and urban public infrastructure," Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 38, pages 1455-1495 Elsevier.
    3. Cohen, Jeffrey P. & Paul, Catherine J. Morrison, 2005. "Agglomeration economies and industry location decisions: the impacts of spatial and industrial spillovers," Regional Science and Urban Economics, Elsevier, vol. 35(3), pages 215-237, May.
    4. Timothy R. Wojan, 2000. "The Composition of Rural Employment Growth in the “New Economy”," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(3), pages 594-605.
    5. Gabe, Todd M., 2004. "Industry Agglomeration And Investment In Rural Businesses," 2004 Annual meeting, August 1-4, Denver, CO 19930, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Coughlin, Cletus C & Terza, Joseph V & Arromdee, Vachira, 1991. "State Characteristics and the Location of Foreign Direct Investment within the United States," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 675-83, November.
    7. Henderson, Jason R. & McNamara, Kevin T., 2000. "The Location Of Food Manufacturing Plant Investments In Corn Belt Counties," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(02), December.
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    Citations

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    Cited by:
    1. Register, D. Lane & Lambert, Dayton M. & English, Burton C. & Jensen, Kimberly L. & Menard, R. Jamey & Wilcox, Michael D., 2012. "Geographical Analysis of US Green Sector Industry Concentration," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119742, Southern Agricultural Economics Association.
    2. Lambert, Dayton M. & Brown, Jason P. & Florax, Raymond J.G.M., 2010. "A two-step estimator for a spatial lag model of counts: Theory, small sample performance and an application," Regional Science and Urban Economics, Elsevier, vol. 40(4), pages 241-252, July.
    3. Wojan, Timothy R. & McGranahan, David A., 2007. "Ambient Returns: Creative Capital's Contribution to Local Manufacturing Competitiveness," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(1), April.
    4. Pablo Martí, Federico & Arauzo Carod, Josep Maria, 2010. "Spatial distribution of economic activities: an empirical approach usingself-organizing maps," Working Papers 2072/148482, Universitat Rovira i Virgili, Department of Economics.
    5. Cho, Seong-Hoon & Lambert, Dayton M. & Kim, Seung Gyu & Jung, Suhyun, 2009. "Extreme coefficients in Geographically Weighted Regression and their effects on mapping," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49117, Agricultural and Applied Economics Association.
    6. Maynard, Leigh J. & Dunaway, Tarrah & Garkovich, Lorraine & Davis, Alison F., 2013. "The Impact of Agriculture on Other Business Activity: A Nationwide Analysis Applied to Fayette County, Kentucky," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142131, Southern Agricultural 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.
    8. Martínez Ibáñez, Óscar & Manjón Antolín, Miguel C. & Arauzo Carod, Josep Maria, 2012. "The Geographical Scope of Industrial Location Determinants: An Alternative Approach," Working Papers 2072/212205, Universitat Rovira i Virgili, Department of Economics.
    9. Josep-Maria Arauzo-Carod & Miguel Manjón-Antolín, 2012. "(Optimal) spatial aggregation in the determinants of industrial location," Small Business Economics, Springer, vol. 39(3), pages 645-658, October.
    10. Liviano Solís, Daniel & Arauzo Carod, Josep Maria, 2011. "Industrial Location and Space: New Insights," Working Papers 2072/152137, Universitat Rovira i Virgili, Department of Economics.
    11. Federico Pablo-Marti & Josep Maria Arauzo-Carod, 2011. "Cluster Analysis using Microgreographic data," ERSA conference papers ersa11p284, European Regional Science Association.

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