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Regional efficiency in generating technological knowledge

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  • Axel Schaffer

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  • Jan Rauland
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    Abstract

    There is broad consensus among economists that regions’ competitiveness heavily relies on their ability to produce innovative goods and services (Baumol 1967, Romer 1990, Grossman and Helpman 1991, Barro and Sala-i-Martin 1997, Los and Verspagen 2006). Main drivers of innovation include, but are not limited to, human and cognitive capital (Quelle), R&D expenditures (Quelle), industrial clusters and structure (Quelle) and foreign direct investments (Quelle). Most empirical studies confirm the presumed positive correlation of these inputs and regional innovativeness, measured for example by patent applications. At the same time, regions operating at similar input level show significant differences in the degree of innovativeness. These differences can, to some extent, be explained by the regions efficiency in using their available input factors (Quelle). The presented paper aims, in a first step, to identify this efficiency by using an outlier robust enhancement of the data envelopment analysis (DEA), the so-called order-α-frontier analysis (Daouia and Simar 2005, Daraio and Simar 2006), for a sample of more than 200 EU regions (NUTS 2). The findings of this model suggest that the regions’ efficiency is partly affected by a spatial factor. Therefore, the study foresees to decompose regional efficiency into a spatial and non-spatial part by introducing a geoadditive regression analysis based on markov fields. The spatial part reveals differences of the efficiency for greater areas. Regions located in efficient areas, for example, are likely to be efficient as well, since they benefit by the efficiency of neighboring regions. In contrast, the non-spatial effect gives an idea on a region’s efficiency compared to the neighboring and nearby regions.

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    Bibliographic Info

    Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa10p1108.

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    Date of creation: Sep 2011
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    Handle: RePEc:wiw:wiwrsa:ersa10p1108

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    1. Athanassopoulos, Antreas D., 1996. "Assessing the comparative spatial disadvantage (CSD) of regions in the European Union using non-radial data envelopment analysis methods," European Journal of Operational Research, Elsevier, Elsevier, vol. 94(3), pages 439-452, November.
    2. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, Elsevier, vol. 52(1), pages 1-15, May.
    3. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 98(5), pages S71-102, October.
    4. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, Elsevier, vol. 47(4), pages 687-710, August.
    5. E. E. Kammann & M. P. Wand, 2003. "Geoadditive models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, Royal Statistical Society, vol. 52(1), pages 1-18.
    6. Robert J. Barro & Xavier Sala-i-Martin, 1995. "Technological Diffusion, Convergence, and Growth," NBER Working Papers 5151, National Bureau of Economic Research, Inc.
    7. Los, Bart & Verspagen, Bart, 2002. "The evolution of productivity gaps and specialization patterns," CCSO Working Papers, University of Groningen, CCSO Centre for Economic Research 200301, University of Groningen, CCSO Centre for Economic Research.
    8. Aragon, Y. & Daouia, A. & Thomas-Agnan, C., 2005. "Nonparametric Frontier Estimation: A Conditional Quantile-Based Approach," Econometric Theory, Cambridge University Press, Cambridge University Press, vol. 21(02), pages 358-389, April.
    9. Charnes, Abraham & Cooper, William W. & Li, Shanling, 1989. "Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities," Socio-Economic Planning Sciences, Elsevier, Elsevier, vol. 23(6), pages 325-344.
    10. Griliches, Zvi, 1990. "Patent Statistics as Economic Indicators: A Survey," Journal of Economic Literature, American Economic Association, American Economic Association, vol. 28(4), pages 1661-1707, December.
    11. Hartman, Linda & Hossjer, Ola, 2008. "Fast kriging of large data sets with Gaussian Markov random fields," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 52(5), pages 2331-2349, January.
    12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, Elsevier, vol. 6(1), pages 21-37, July.
    13. Daouia, Abdelaati & Simar, Léopold, 2005. "Robust nonparametric estimators of monotone boundaries," Journal of Multivariate Analysis, Elsevier, Elsevier, vol. 96(2), pages 311-331, October.
    14. Jensen, Morten Berg & Johnson, Bjorn & Lorenz, Edward & Lundvall, Bengt Ake, 2007. "Forms of knowledge and modes of innovation," Research Policy, Elsevier, Elsevier, vol. 36(5), pages 680-693, June.
    15. Li, Xibao, 2009. "China's regional innovation capacity in transition: An empirical approach," Research Policy, Elsevier, Elsevier, vol. 38(2), pages 338-357, March.
    16. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, Elsevier, vol. 106(1), pages 1-25, January.
    17. repec:fth:harver:1473 is not listed on IDEAS
    18. Hashimoto, Akihiro & Ishikawa, Hitoshi, 1993. "Using DEA to evaluate the state of society as measured by multiple social indicators," Socio-Economic Planning Sciences, Elsevier, Elsevier, vol. 27(4), pages 257-268, December.
    19. David B. Audretsch, 1995. "Innovation and Industry Evolution," MIT Press Books, The MIT Press, The MIT Press, edition 1, volume 1, number 0262011468, December.
    20. Ludwig Fahrmeir & Stefan Lang, 2001. "Bayesian inference for generalized additive mixed models based on Markov random field priors," Journal of the Royal Statistical Society Series C, Royal Statistical Society, Royal Statistical Society, vol. 50(2), pages 201-220.
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