IDEAS home Printed from https://ideas.repec.org/p/gat/wpaper/1814.html
   My bibliography  Save this paper

A heterogeneous coefficient approach to the knowledge production function

Author

Listed:
  • Corinne Autant-Bernard

    (Univ Lyon, UJM Saint-Etienne, GATE UMR 5824, F-42023 Saint-Etienne, France)

  • James P. LeSage

    (Fields Endowed Chair in Urban and Regional Economics, McCoy College of Business Administration, Texas State University, San Marcos, Texas 78666)

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 P. LeSage, 2018. "A heterogeneous coefficient approach to the knowledge production function," Working Papers 1814, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    • Handle: RePEc:gat:wpaper:1814
    as

    Download full text from publisher

    File URL: ftp://ftp.gate.cnrs.fr/RePEc/2018/1814.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Keisuke Kondo, 2022. "Spatial dependence in regional business cycles: evidence from Mexican states," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:elg:eechap:14395_24 is not listed on IDEAS
    2. Paola Cardamone, 2017. "A Spatial Analysis of the R&D-Productivity Nexus at Firm Level," Growth and Change, Wiley Blackwell, vol. 48(3), pages 313-335, September.
    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.
    4. Clément Gorin, 2017. "Accessibility, absorptive capacity and innovation in European urban areas," Working Papers 1722, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    5. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2014. "Augmented and Unconstrained: revisiting the Regional Knowledge Production Function," SEEDS Working Papers 2414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
    6. Veneziano de Castro Araújo & Renato Garcia, 2019. "Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model [Determinantes e dependência espacial da inovação nas regiões brasileiras: evidências a part," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 29(2), pages 375-400, May-Augus.
    7. Anna M. Ferragina & Giulia Nunziante, 2018. "Are Italian firms performances influenced by innovation of domestic and foreign firms nearby in space and sectors?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(3), pages 335-360, September.
    8. Nan, Shijing & Huo, Yuchen & You, Wanhai & Guo, Yawei, 2022. "Globalization spatial spillover effects and carbon emissions: What is the role of economic complexity?," Energy Economics, Elsevier, vol. 112(C).
    9. Zoltán J. Ács & Pontus Braunerhjelm & David B. Audretsch & Bo Carlsson, 2015. "The knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 7, pages 129-144, Edward Elgar Publishing.
    10. Marie-Laure Cabon-Dhersin & Emmanuelle Taugourdeau, 2015. "Research clusters: How public subsidies matter?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01159523, HAL.
    11. Lesage, James P. & Vance, Colin & Chih, Yao-Yu, 2016. "A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel price rivalry," Ruhr Economic Papers 617, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Haifeng Qian, 2018. "Knowledge-Based Regional Economic Development: A Synthetic Review of Knowledge Spillovers, Entrepreneurship, and Entrepreneurial Ecosystems," Economic Development Quarterly, , vol. 32(2), pages 163-176, May.
    13. Niko Hauzenberger & Michael Pfarrhofer, 2021. "Bayesian State‐Space Modeling for Analyzing Heterogeneous Network Effects of US Monetary Policy," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(4), pages 1261-1291, October.
    14. Cornwall, Gary J. & Parent, Olivier, 2017. "Embracing heterogeneity: the spatial autoregressive mixture model," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 148-161.
    15. Anna‐Maria Kindt & Matthias Geissler & Kilian Bühling, 2022. "Be my (little) partner?!—Universities' role in regional innovation systems when large firms are rare," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1274-1295, November.
    16. Marie‐Laure Cabon‐Dhersin & Emmanuelle Taugourdeau, 2018. "Location and research activities organization: Could public/private cooperation be harmful?," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 883-907, November.
    17. 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.
    18. Moralles, Herick Fernando & do Nascimento Rebelatto, Daisy Aparecida, 2016. "The effects and time lags of R&D spillovers in Brazil," Technology in Society, Elsevier, vol. 47(C), pages 148-155.
    19. Xinbao Tian & Jiguang Wang, 2018. "Research on Spatial Correlation in Regional Innovation Spillover in China Based on Patents," Sustainability, MDPI, vol. 10(9), pages 1-14, August.
    20. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2021. "Estimation and inference for spatial models with heterogeneous coefficients: An application to US house prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 18-44, January.
    21. Corinne Autant-Bernard & Pascal Billand & Nadine Massard, 2012. "Innovation and Space – From Externalities to Networks," Chapters, in: Charlie Karlsson & Börje Johansson & Roger R. Stough (ed.), The Regional Economics of Knowledge and Talent, chapter 3, Edward Elgar Publishing.

    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)

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gat:wpaper:1814. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nelly Wirth (email available below). General contact details of provider: https://edirc.repec.org/data/gateefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.