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The Geographical Scope of Industrial Location Determinants: An Alternative Approach

Author

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  • Oscar Martinez Ibañez
  • Miguel Manjón Antolín
  • Josep-Maria Arauzo-Carod

Abstract

This paper considers the estimation of the geographical scope of industrial location determinants. While previous studies impose strong assumptions on the weighting scheme of the spatial neighbour matrix, we propose a exible parametrisation that allows for di fferent (distance-based) de finitions of neighbourhood and di fferent weights to the neighbours. In particular, we estimate how far can reach indirect marginal e ffects and discuss how to report them. We also show that the use of smooth transition functions provides tools for policy analysis that are not available in the traditional threshold modelling. Keywords: count data models, industrial location, smooth transition functions, threshold models. JEL-Codes: C25, C52, R11, R30.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Oscar Martinez Ibañez & Miguel Manjón Antolín & Josep-Maria Arauzo-Carod, 2013. "The Geographical Scope of Industrial Location Determinants: An Alternative Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 104(2), pages 194-214, April.
    • Handle: RePEc:bla:tvecsg:v:104:y:2013:i:2:p:194-214
    DOI: 10.1111/tesg.2013.104.issue-2
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    1. Woodward, Douglas & Figueiredo, Octavio & Guimaraes, Paulo, 2006. "Beyond the Silicon Valley: University R&D and high-technology location," Journal of Urban Economics, Elsevier, vol. 60(1), pages 15-32, July.
    2. Paulo Guimarães & Octávio Figueirdo & Douglas Woodward, 2003. "A Tractable Approach to the Firm Location Decision Problem," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 201-204, February.
    3. Briant, A. & Combes, P.-P. & Lafourcade, M., 2010. "Dots to boxes: Do the size and shape of spatial units jeopardize economic geography estimations?," Journal of Urban Economics, Elsevier, vol. 67(3), pages 287-302, May.
    4. Lee, Yoonsoo, 2008. "Geographic redistribution of US manufacturing and the role of state development policy," Journal of Urban Economics, Elsevier, vol. 64(2), pages 436-450, September.
    5. Lambert, Dayton M. & McNamara, Kevin T. & Garrett, Megan I., 2006. "An Application of Spatial Poisson Models to Manufacturing Investment Location Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(1), pages 1-17, April.
    6. Bruce A. Blonigen & Ronald B. Davies & Glen R. Waddell & Helen T. Naughton, 2019. "FDI in Space: Spatial Autoregressive Relationships in Foreign Direct Investment," World Scientific Book Chapters, in: Foreign Direct Investment, chapter 2, pages 55-88, World Scientific Publishing Co. Pte. Ltd..
    7. 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.
    8. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643, October.
    9. Corinne Autant-Bernard, 2006. "Where Do Firms Choose to Locate Their R&D? A Spatial Conditional Logit Analysis on French Data," European Planning Studies, Taylor & Francis Journals, vol. 14(9), pages 1187-1208, May.
    10. Gramlich, Edward M, 1994. "Infrastructure Investment: A Review Essay," Journal of Economic Literature, American Economic Association, vol. 32(3), pages 1176-1196, September.
    11. 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.
    12. Josep‐Maria Arauzo‐Carod & Daniel Liviano‐Solis & Miguel Manjón‐Antolín, 2010. "Empirical Studies In Industrial Location: An Assessment Of Their Methods And Results," Journal of Regional Science, Wiley Blackwell, vol. 50(3), pages 685-711, August.
    13. Michael Kitson & Ron Martin & Peter Tyler, 2004. "Regional Competitiveness: An Elusive yet Key Concept?," Regional Studies, Taylor & Francis Journals, vol. 38(9), pages 991-999.
    14. Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207.
    15. Josep‐Maria Arauzo‐Carod, 2008. "Industrial Location At A Local Level: Comments On The Territorial Level Of The Analysis," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(2), pages 193-208, April.
    16. Daniel P. McMillen & John F. McDonald, 2004. "Locally Weighted Maximum Likelihood Estimation: Monte Carlo Evidence and an Application," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 10, pages 225-239, Springer.
    17. James P. LeSage, 2004. "A Family of Geographically Weighted Regression Models," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 11, pages 241-264, Springer.
    18. Miguel Manjón-Antolín & Josep-Maria Arauzo-Carod, 2011. "Locations and relocations: determinants, modelling, and interrelations," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(1), pages 131-146, August.
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    More about this item

    Keywords

    count data models; industrial location; smooth transition functions; threshold models. jel-codes: c25; c52; r11; r30.
    (this abstract was borrowed from another version of this item.)    ;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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