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Specialisation precedes diversification: R&D productivity effects

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Abstract
We model how R&D enters the innovation system in four ways (intramural, extramural, cooperative, and spillover). Despite measuring three different spillovers together, for a very large sample of European enterprises we conclude that the productivity effects of spillovers were at best smaller than intramural R&D productivity effects. We also find that building on the greater skills and experience of enterprises already undertaking R&D (intensity) raised labour productivity more than providing support for those beginning R&D (extensity). Optimal extramural R&D intensity was higher than the actual level; sample firms could boost productivity either by abandoning extramural R&D or by doing much more. There were substantial differences in our sample between enterprises and countries in terms of R&D spillovers. Greater multinational corporation incidence in new EU members accounted for these countries high direct R&D intensity productivity, regardless of their generally low overall labour productivity. Absorptive capacity made little difference to the utilisation of spillovers.

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  • Foreman-Peck, James & Zhou, Peng, 2023. "Specialisation precedes diversification: R&D productivity effects," Cardiff Economics Working Papers E2023/16, Cardiff University, Cardiff Business School, Economics Section.
  • Handle: RePEc:cdf:wpaper:2023/16
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    References listed on IDEAS

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    1. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    2. Isabel Maria Freitas Bodas & Nick von Tunzelmann, 2008. "Mapping public support for innovation: a comparison of policy alignment in the UK and France," Post-Print hal-01487464, HAL.
    3. Ugur, Mehmet & Churchill, Sefa Awaworyi & Luong, Hoang M., 2020. "What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power," Research Policy, Elsevier, vol. 49(1).
    4. Kevin J. Fox & Peter Goodridge & Jonathan Haskel & Gavin Wallis, 2017. "Spillovers from R&D and Other Intangible Investment: Evidence from UK Industries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63, pages 22-48, February.
    5. Kyle R. Myers & Lauren Lanahan, 2022. "Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy," American Economic Review, American Economic Association, vol. 112(7), pages 2393-2423, July.
    6. Luintel, Kul B. & Khan, Mosahid, 2017. "Ideas production and international knowledge spillovers: Digging deeper into emerging countries," Research Policy, Elsevier, vol. 46(10), pages 1738-1754.
    7. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    8. Vujanović, Nina & Radošević, Slavo & Stojčić, Nebojša & Hisarciklilar, Mehtap & Hashi, Iraj, 2022. "FDI spillover effects on innovation activities of knowledge using and knowledge creating firms: Evidence from an emerging economy," Technovation, Elsevier, vol. 118(C).
    9. Bruno Cassiman & Reinhilde Veugelers, 2002. "R&D Cooperation and Spillovers: Some Empirical Evidence from Belgium," American Economic Review, American Economic Association, vol. 92(4), pages 1169-1184, September.
    10. Isabel Maria Freitas Bodas & Nick von Tunzelmann, 2008. "Mapping public support for innovation: a comparison of policy alignment in the UK and France," Grenoble Ecole de Management (Post-Print) hal-01487464, HAL.
    11. Banal-Estañol, Albert & Duso, Tomaso & Seldeslachts, Jo & Szücs, Florian, 2022. "R&D Spillovers through RJV Cooperation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(4), pages 1-10.
    12. Marine Guillerm, 2017. "Pseudo‑panel methods and an example of application to Household Wealth data," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 491-492, pages 109-130.
    13. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity Across Four European Countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 22(4), pages 483-498, Winter.
    14. Kul B. Luintel & Mosahid Khan, 2009. "Heterogeneous ideas production and endogenous growth: an empirical investigation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(3), pages 1176-1205, August.
    15. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2017. "Knowledge Spillovers, ICT and Productivity Growth," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 592-618, August.
    16. Vujanović, Nina & Stojčić, Nebojša & Hashi, Iraj, 2021. "FDI spillovers and firm productivity during crisis: Empirical evidence from transition economies," Economic Systems, Elsevier, vol. 45(2).
    17. Stojčić, Nebojša & Srhoj, Stjepan & Coad, Alex, 2020. "Innovation procurement as capability-building: Evaluating innovation policies in eight Central and Eastern European countries," European Economic Review, Elsevier, vol. 121(C).
    18. Crescenzi, Riccardo & Gagliardi, Luisa, 2018. "The innovative performance of firms in heterogeneous environments: The interplay between external knowledge and internal absorptive capacities," Research Policy, Elsevier, vol. 47(4), pages 782-795.
    19. Anne W. Fuller, 2018. "Toward a Perspective on R&D Outsourcing: RBV and Firm Performance," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 1-14, October.
    20. Bodas Freitas, Isabel Maria & von Tunzelmann, Nick, 2008. "Mapping public support for innovation: A comparison of policy alignment in the UK and France," Research Policy, Elsevier, vol. 37(9), pages 1446-1464, October.
    21. Esther Goya & Esther Vayá & Jordi Suriñach, 2016. "Innovation spillovers and firm performance: micro evidence from Spain (2004–2009)," Journal of Productivity Analysis, Springer, vol. 45(1), pages 1-22, February.
    22. Argentino Pessoa, 2005. "“Ideas” driven growth: the OECD evidence," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 4(1), pages 46-67, April.
    23. Iraj Hashi & Nebojša Stojčić, 2013. "Knowledge Spillovers, Innovation Activities, And Competitiveness Of Industries In Eu Member And Candidate Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(198), pages 7-34, July - Se.
    24. Castellacci, Fulvio & Natera, Jose Miguel, 2013. "The dynamics of national innovation systems: A panel cointegration analysis of the coevolution between innovative capability and absorptive capacity," Research Policy, Elsevier, vol. 42(3), pages 579-594.
    25. Anil K. Gupta & Vijay Govindarajan, 2000. "Knowledge flows within multinational corporations," Strategic Management Journal, Wiley Blackwell, vol. 21(4), pages 473-496, April.
    26. Brian Lucking & Nicholas Bloom & John Van Reenen, 2019. "Have R&D Spillovers Declined in the 21st Century?," Fiscal Studies, John Wiley & Sons, vol. 40(4), pages 561-590, December.
    27. Szczygielski, Krzysztof & Grabowski, Wojciech & Pamukcu, Mehmet Teoman & Tandogan, Vedat Sinan, 2017. "Does government support for private innovation matter? Firm-level evidence from two catching-up countries," Research Policy, Elsevier, vol. 46(1), pages 219-237.
    28. Foreman-Peck, James & Zhou, Peng, 2022. "R&D subsidies and productivity in eastern European countries," Economic Systems, Elsevier, vol. 46(2).
    29. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    30. Andrea Conte & Marco Vivarelli, 2014. "Succeeding in innovation: key insights on the role of R&D and technological acquisition drawn from company data," Empirical Economics, Springer, vol. 47(4), pages 1317-1340, December.
    31. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    32. repec:prs:ecstat:estat_0336-1454_2017_num_491_1_10759 is not listed on IDEAS
    33. Hans Lööf & Jacques Mairesse & Pierre Mohnen, 2017. "CDM 20 years after," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(1-2), pages 1-5, February.
    34. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    35. John A. Mathews, 2003. "Competitive dynamics and economic learning: an extended resource-based view," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 12(1), pages 115-145, February.
    36. Richard Harris & Astrid Krenz & John Moffat, 2021. "The Effects of Absorptive Capacity on Innovation Performance: A Cross‐country Perspective," Journal of Common Market Studies, Wiley Blackwell, vol. 59(3), pages 589-607, May.
    37. Neves, Pedro Cunha & Sequeira, Tiago Neves, 2018. "Spillovers in the production of knowledge: A meta-regression analysis," Research Policy, Elsevier, vol. 47(4), pages 750-767.
    38. Loof, Hans & Heshmati, Almas, 2002. "Knowledge capital and performance heterogeneity: : A firm-level innovation study," International Journal of Production Economics, Elsevier, vol. 76(1), pages 61-85, March.
    39. Estrada, Isabel & de la Fuente, Gabriel & Martín-Cruz, Natalia, 2010. "Technological joint venture formation under the real options approach," Research Policy, Elsevier, vol. 39(9), pages 1185-1197, November.
    40. Wakelin, Katharine, 2001. "Productivity growth and R&D expenditure in UK manufacturing firms," Research Policy, Elsevier, vol. 30(7), pages 1079-1090, August.
    41. Dragan Tevdovski & Katerina Tosevska-Trpcevska & Elena Makrevska Disoska, 2017. "What is the role of innovation in productivity growth in Central and Eastern European countries?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 25(3), pages 527-551, July.
    42. Lee, Lung-Fei, 1978. "Unionism and Wage Rates: A Simultaneous Equations Model with Qualitative and Limited Dependent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 415-433, June.
    43. Simona Iammarino & Mariacristina Piva & Marco Vivarelli & Nick Von Tunzelmann, 2012. "Technological Capabilities and Patterns of Innovative Cooperation of Firms in the UK Regions," Regional Studies, Taylor & Francis Journals, vol. 46(10), pages 1283-1301, November.
    44. Robert Wieser, 2005. "Research And Development Productivity And Spillovers: Empirical Evidence At The Firm Level," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 587-621, September.
    45. Escribano, Alvaro & Fosfuri, Andrea & Tribó, Josep A., 2009. "Managing external knowledge flows: The moderating role of absorptive capacity," Research Policy, Elsevier, vol. 38(1), pages 96-105, February.
    46. von Brasch, T. & Cappelen, Å. & Hungnes, H. & Skjerpen, T., 2021. "Modeling R&D spillovers to productivity: The effects of tax credits," Economic Modelling, Elsevier, vol. 101(C).
    47. Michele Cincera, 1998. "Economic and technological performances of international firms," ULB Institutional Repository 2013/212081, ULB -- Universite Libre de Bruxelles.
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    More about this item

    Keywords

    R&D; innovation; knowledge spillover;
    All these keywords.

    JEL classification:

    • L53 - Industrial Organization - - Regulation and Industrial Policy - - - Enterprise Policy
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies

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