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A heterogeneous coefficient approach to the knowledge production function

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  • Corinne Autant-Bernard

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • James Lesage

    (McCoy College of Business Administration Finance and Economics Department - Texas State University)

Abstract

Past literature has used conventional spatial autoregressive panel data models to relate patent production output to knowledge production inputs. However, research conducted on regional innovation systems points to regional disparities in both regions ability to turn their knowledge inputs into innovation and to access external knowledge. Applying a heterogeneous coefficients spatial autoregressive panel model, we estimate region-specific knowledge production functions for 94 NUTS3 regions in France using a panel covering 21 years from 1988 to 2008 and 4 high-technology industries. A great deal of regional heterogeneity in the knowledge production function relationship exists across regions, providing new insights regarding spatial spillin and spillout effects between regions.

Suggested Citation

  • Corinne Autant-Bernard & James Lesage, 2018. "A heterogeneous coefficient approach to the knowledge production function," Working Papers halshs-01872021, HAL.
  • Handle: RePEc:hal:wpaper:halshs-01872021
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01872021
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    1. Riccardo Crescenzi & Andrés Rodríguez-Pose & Michael Storper, 2012. "The territorial dynamics of innovation in China and India," Journal of Economic Geography, Oxford University Press, vol. 12(5), pages 1055-1085, September.
    2. James P. LeSage & R. Kelley Pace, 2014. "The Biggest Myth in Spatial Econometrics," Econometrics, MDPI, vol. 2(4), pages 1-33, December.
    3. LeSage, James P. & Chih, Yao-Yu, 2016. "Interpreting heterogeneous coefficient spatial autoregressive panel models," Economics Letters, Elsevier, vol. 142(C), pages 1-5.
    4. Roberta Capello & Andrea Caragliu & Ugo Fratesi, 2015. "Spatial heterogeneity in the costs of the economic crisis in Europe: are cities sources of regional resilience?," Journal of Economic Geography, Oxford University Press, vol. 15(5), pages 951-972.
    5. Attila Varga, 2000. "Local Academic Knowledge Transfers and the Concentration of Economic Activity," Journal of Regional Science, Wiley Blackwell, vol. 40(2), pages 289-309, May.
    6. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    7. Haifeng Qian & Zoltán J. Ács, 2015. "An absorptive capacity theory of knowledge spillover entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 9, pages 161-173, Edward Elgar Publishing.
    8. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," Working Papers 749, Queen Mary University of London, School of Economics and Finance.
    9. Breandán Ó hUallacháin & Timothy F. Leslie, 2007. "Rethinking the regional knowledge production function," Journal of Economic Geography, Oxford University Press, vol. 7(6), pages 737-752, November.
    10. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," Working Papers 749, Queen Mary University of London, School of Economics and Finance.
    11. Dahl, Michael S. & Sorenson, Olav, 2010. "The migration of technical workers," Journal of Urban Economics, Elsevier, vol. 67(1), pages 33-45, January.
    12. Andrea Caragliu & Peter Nijkamp, 2012. "The impact of regional absorptive capacity on spatial knowledge spillovers: the Cohen and Levinthal model revisited," Applied Economics, Taylor & Francis Journals, vol. 44(11), pages 1363-1374, April.
    13. Frank Oort & Niels Bosma, 2013. "Agglomeration economies, inventors and entrepreneurs as engines of European regional economic development," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 213-244, August.
    14. Paolo Postiglione & Maria Simona Andreano & Roberto Benedetti, 2017. "Spatial Clusters in EU Productivity Growth," Growth and Change, Wiley Blackwell, vol. 48(1), pages 40-60, March.
    15. James Simmie, 2003. "Innovation and Urban Regions as National and International Nodes for the Transfer and Sharing of Knowledge," Regional Studies, Taylor & Francis Journals, vol. 37(6-7), pages 607-620.
    16. Corinne Autant‐Bernard & James P. LeSage, 2011. "Quantifying Knowledge Spillovers Using Spatial Econometric Models," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 471-496, August.
    17. Raffaele Paci & Emanuela Marrocu, 2013. "Knowledge Assets and Regional Performance," Growth and Change, Wiley Blackwell, vol. 44(2), pages 228-257, June.
    18. Keld Laursen & Francesca Masciarelli & Andrea Prencipe, 2012. "Regions Matter: How Localized Social Capital Affects Innovation and External Knowledge Acquisition," Organization Science, INFORMS, vol. 23(1), pages 177-193, February.
    19. Elisabetta Marinelli, 2013. "Sub-national Graduate Mobility and Knowledge Flows: An Exploratory Analysis of Onward- and Return-Migrants in Italy," Regional Studies, Taylor & Francis Journals, vol. 47(10), pages 1618-1633, November.
    20. Mario Maggioni & Teodora Uberti & Mario Nosvelli, 2014. "Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 453-485, September.
    21. Corinne Autant-Bernard & James Lesage, 2011. "Quantifying knowledge spillovers using spatial econometric tools," Post-Print halshs-00617709, HAL.
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    Cited by:

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    2. Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018. "Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
    3. LeSage, James P. & Chih, Yao-Yu, 2018. "A Bayesian spatial panel model with heterogeneous coefficients," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 58-73.

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    More about this item

    Keywords

    Knowledge production; spatial econometrics; region-specific parameters;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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