IDEAS home Printed from https://ideas.repec.org/p/iab/iabfme/201707(en).html
   My bibliography  Save this paper

A novel technology-industry concordance table based on linked inventor-establishment data

Author

Listed:
  • Dorner, Matthias

    (Institute for Employment Research (IAB), Nuremberg, Germany ; Institute for Employment Research, Nuremberg ; Max Planck Institute for Innovation and Competition, Munich)

  • Harhoff, Dietmar

    (Centre for Economic Policy Research (CEPR), London ; Institute for Employment Research, Nuremberg ; LMU, Munich)

Abstract

"Mapping technologies into industries is frequently required in empirical innovation studies, but many concordances only provide coarse mappings. We develop novel concordance tables between industries and technologies making use of linked inventor-employee patent data for Germany. The data comprise 235,933 patents filed between 1999 and 2011 at the European Patent Office. Data on inventors are matched and disambiguated with social security records available at the Institute for Employment Research. Employment data recorded in this database include detailed industry codes describing the industrial activities of the inventors' establishments. The linked inventor-establishment microdata allow us to identify the precise industry of origin of inventions, combine them with technology classifications from the inventors' patents and to generate novel concordance tables. We evaluate our approach by comparing the concordance tables with existing work, and we discuss the validity of patent statistics by industries as indicators for innovation." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Dorner, Matthias & Harhoff, Dietmar, 2017. "A novel technology-industry concordance table based on linked inventor-establishment data," FDZ-Methodenreport 201707 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabfme:201707(en)
    as

    Download full text from publisher

    File URL: https://doku.iab.de/fdz/reporte/2017/MR_07-17_EN.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Albrecht Glitz & Erik Meyersson, 2020. "Industrial Espionage and Productivity," American Economic Review, American Economic Association, vol. 110(4), pages 1055-1103, April.
    2. Samuel Kortum & Jonathan Putnam, 1997. "Assigning Patents to Industries: Tests of the Yale Technology Concordance," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 161-176.
    3. Philippe Aghion & Ufuk Akcigit & Peter Howitt, 2015. "Lessons from Schumpeterian Growth Theory," American Economic Review, American Economic Association, vol. 105(5), pages 94-99, May.
    4. Peter Neuhäusler & Rainer Frietsch & Carolin Mund & Verena Eckl, 2017. "Identifying the Technology Profiles of R&D Performing Firms — A Matching of R&D and Patent Data," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-30, February.
    5. Eberle, Johanna & Jacobebbinghaus, Peter & Ludsteck, Johannes & Witter, Julia, 2011. "Generation of time-consistent industry codes in the face of classification changes : Simple heuristic based on the Establishment History Panel (BHP)," FDZ Methodenreport 201105_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    7. Aghion, Philippe & Akcigit, Ufuk & Howitt, Peter, 2014. "What Do We Learn From Schumpeterian Growth Theory?," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 0, pages 515-563, Elsevier.
    8. repec:iab:iabfme:201105(en is not listed on IDEAS
    9. Maurseth, Per Botolf & Verspagen, Bart, 2002. " Knowledge Spillovers in Europe: A Patent Citations Analysis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(4), pages 531-545, December.
    10. Daniel K. N. Johnson, 2002. "The OECD Technology Concordance (OTC): Patents by Industry of Manufacture and Sector of Use," OECD Science, Technology and Industry Working Papers 2002/5, OECD Publishing.
    11. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    12. Per Botolf Maurseth & Bart Verspagen, 2002. "Knowledge Spillovers in Europe: A Patent Citations Analysis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(4), pages 531-545, December.
    13. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    14. Valentina Meliciani, 2000. "The relationship between R&D, investment and patents: a panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1429-1437.
    15. repec:fth:harver:1473 is not listed on IDEAS
    16. Jérôme Danguy & Gaetan de Rassenfosse & Bruno van Pottelsberghe de la Potterie, 2014. "On the origins of the worldwide surge in patenting: an industry perspective on the R&D–patent relationship," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 23(2), pages 535-572.
    17. Jonathan Eaton & Samuel Kortum, 2002. "Technology, Geography, and Trade," Econometrica, Econometric Society, vol. 70(5), pages 1741-1779, September.
    18. repec:iab:iabfme:201406(en is not listed on IDEAS
    19. Dorner, Matthias & Bender, Stefan & Harhoff, Dietmar & Hoisl, Karin & Scioch, Patrycja, 2014. "The MPI-IC-IAB-Inventor data 2002 (MIID 2002): Record-linkage of patent register data with labor market biography data of the IAB," FDZ Methodenreport 201406_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    20. Rainer Frietsch & Ulrich Schmoch, 2010. "Transnational patents and international markets," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 185-200, January.
    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. Danzer, Alexander M. & Feuerbaum, Carsten & Gaessler, Fabian, 2020. "Labor Supply and Automation Innovation," IZA Discussion Papers 13429, Institute of Labor Economics (IZA).
    2. Adelheid Holl & Bettina Peters & Christian Rammer, 2023. "Local knowledge spillovers and innovation persistence of firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(6), pages 826-850, August.
    3. Xiaoli Wang & Yun Liu & Lingdi Chen & Yifan Zhang, 2022. "Correlation Monitoring Method and model of Science-Technology-Industry in the AI Field: A Case of the Neural Network," SAGE Open, , vol. 12(4), pages 21582440221, December.
    4. repec:iab:iabfda:201803(en is not listed on IDEAS
    5. Jasmin Joecks & Kerstin Pull & Katrin Scharfenkamp, 2023. "Women directors and firm innovation: The role of women directors' representative function," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1203-1214, March.
    6. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    7. Kerstin Hotte, 2021. "Demand-pull, technology-push, and the direction of technological change," Papers 2104.04813, arXiv.org, revised Jan 2023.
    8. Dorner, Matthias & Harhoff, Dietmar & Gaessler, Fabian & Hoisl, Karin & Poege, Felix, 2019. "Linked Inventor Biography Data 1980-2014 : (INV-BIO ADIAB 8014)," FDZ Datenreport. Documentation on Labour Market Data 201803_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    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. Dorner, Matthias & Harhoff, Dietmar, 2018. "A novel technology-industry concordance table based on linked inventor-establishment data," Research Policy, Elsevier, vol. 47(4), pages 768-781.
    2. repec:iab:iabfme:201707(en is not listed on IDEAS
    3. Lisa De Propris & Carlo Corradini, 2013. "Technological platforms and global opportunities," ERSA conference papers ersa13p867, European Regional Science Association.
    4. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    5. Adam B. Jaffe & Gaétan de Rassenfosse, 2017. "Patent citation data in social science research: Overview and best practices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1360-1374, June.
    6. Daniela Cagno & Andrea Fabrizi & Valentina Meliciani, 2014. "The impact of participation in European joint research projects on knowledge creation and economic growth," The Journal of Technology Transfer, Springer, vol. 39(6), pages 836-858, December.
    7. Belderbos, René & Mohnen, Pierre, 2020. "Inter-sectoral and international R&D spillovers," MERIT Working Papers 2020-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Tobias Stucki & Martin Woerter, 2017. "Green Inventions: Is Wait-and-see a Reasonable Option?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    9. Billington, Stephen D. & Hanna, Alan J., 2018. "That's classified! Inventing a new patent taxonomy," QUCEH Working Paper Series 2018-06, Queen's University Belfast, Queen's University Centre for Economic History.
    10. Per Botolf Maurseth, 2005. "Lovely but dangerous: The impact of patent citations on patent renewal," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 351-374.
    11. Inchae Park & Yujin Jeong & Byungun Yoon, 2017. "Analyzing the value of technology based on the differences of patent citations between applicants and examiners," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 665-691, May.
    12. Michele Cincera, 2005. "Firms' productivity growth and R&D spillovers: An analysis of alternative technological proximity measures," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(8), pages 657-682.
    13. Feldman, Maryann P. & Kogler, Dieter F., 2010. "Stylized Facts in the Geography of Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 381-410, Elsevier.
    14. Estolatan, Eric & Geuna, Aldo, 2019. "Looking forward via the Past: An Investigation of the Evolution of the Knowledge Base of Robotics Firms," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201904, University of Turin.
    15. Kemnitz, Alexander & Knoblach, Michael, 2020. "Endogenous sigma-augmenting technological change: An R&D-based approach," CEPIE Working Papers 02/20, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    16. Carlo Corradini, 2019. "Location determinants of green technological entry: evidence from European regions," Small Business Economics, Springer, vol. 52(4), pages 845-858, April.
    17. Conti, C. & Mancusi, M.L. & Sanna-Randaccio, F. & Sestini, R. & Verdolini, E., 2018. "Transition towards a green economy in Europe: Innovation and knowledge integration in the renewable energy sector," Research Policy, Elsevier, vol. 47(10), pages 1996-2009.
    18. Maria Cipollina & Federica Demaria & Filomena Pietrovito, 2016. "Determinants of Trade: the Role of Innovation in Presence of Quality Standards," Journal of Industry, Competition and Trade, Springer, vol. 16(4), pages 455-475, December.
    19. Maryann Feldman & Dieter Kogler & David Rigby, 2013. "rKnowledge: The Spatial Diffusion of rDNA Methods," Papers in Evolutionary Economic Geography (PEEG) 1311, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2013.
    20. Dechezlepretre, Antoine & Martin, Ralf & Mohnen, Myra, 2014. "Knowledge spillovers from clean and dirty technologies," LSE Research Online Documents on Economics 60501, London School of Economics and Political Science, LSE Library.
    21. Sandro Montresor & Gianluca Orsatti & Francesco Quatraro, 2023. "Technological novelty and key enabling technologies: evidence from European regions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(6), pages 851-872, August.

    More about this item

    Keywords

    Bundesrepublik Deutschland ; Datengewinnung ; empirische Forschung ; Erfindung ; Forschungsumsetzung ; Innovation ; Klassifikation ; Patente ; Wirtschaftszweige ; 1999-2011;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

    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:iab:iabfme:201707(en). 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: IAB, Geschäftsbereich Wissenschaftliche Fachinformation und Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/iabfzde.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.