IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitmx/v14y2017i01ns021987701740003x.html
   My bibliography  Save this article

Identifying the Technology Profiles of R&D Performing Firms — A Matching of R&D and Patent Data

Author

Listed:
  • Peter Neuhäusler

    (Fraunhofer Institute for Systems and Innovation Research ISI, Breslauer Strasse 48, 76139 Karlsruhe, Germany2Berlin University of Technology, VWS 2, Müller-Breslau-Straße, 10623 Berlin, Germany)

  • Rainer Frietsch

    (Fraunhofer Institute for Systems and Innovation Research ISI, Breslauer Strasse 48, 76139 Karlsruhe, Germany)

  • Carolin Mund

    (Fraunhofer Institute for Systems and Innovation Research ISI, Breslauer Strasse 48, 76139 Karlsruhe, Germany)

  • Verena Eckl

    (Wissenschaftsstatistik des Stifterverbands für die Deutsche, Wissenschaft (SV Wissenschaftsstatistik) Barkhovenallee 1, 45239 Essen, Germany)

Abstract

Since the statistical classification of economic activities is not able to adequately display companies’ R&D expenditures, the aim of this paper is to create a concordance list between industry sectors and technologies, enabling us to report the business R&D expenditures not only by industries but also by technology fields. To construct the concordance, we match data on R&D expenditures with patent data at the micro-level, i.e. at the level of companies and patent applicants, respectively. In a further step the business R&D expenditures are aggregated at the level of technology fields. This concordance table also allows us to provide patent statistics at the level of industries. The patent data for the matching were extracted from the “EPO Worldwide Patent Statistical Database” (PATSTAT). The data on German business R&D expenditures are provided by the SV Wissenschaftsstatistik. The two data sources are matched by applying a string matching algorithm based on the distance between two text strings. The matching covers 44% of all German patent applicants and 83% of all patent filings at the EPO and the German Patent and Trademark Office in 2009.

Suggested Citation

  • 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.
  • Handle: RePEc:wsi:ijitmx:v:14:y:2017:i:01:n:s021987701740003x
    DOI: 10.1142/S021987701740003X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S021987701740003X
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S021987701740003X?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gehrke, Birgit & Cordes, Alexander & John, Katrin & Frietsch, Rainer & Michels, Carolin & Neuhäusler, Peter & Pohlmann, Tim & Ohnemus, Jörg & Rammer, Christian & Leidmann, Mark, 2014. "Informations- und Kommunikationstechnologien in Deutschland und im internationalen Vergleich – ausgewählte Innovationsindikatoren," Studien zum deutschen Innovationssystem 11-2014, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    2. Raffo, Julio & Lhuillery, Stéphane, 2009. "How to play the "Names Game": Patent retrieval comparing different heuristics," Research Policy, Elsevier, vol. 38(10), pages 1617-1627, December.
    3. Christoph Grenzmann & Andreas Kladroba & Britta Niehof, 2010. "The R&D Survey of the German Business Enterprise Sector," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 130(3), pages 381-391.
    4. Kirner, Eva & Kinkel, Steffen & Jaeger, Angela, 2009. "Innovation paths and the innovation performance of low-technology firms--An empirical analysis of German industry," Research Policy, Elsevier, vol. 38(3), pages 447-458, April.
    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. 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. Salman Ali & Syed Mizanur Rahman, 2020. "R&D Expenditure in a Competitive Landscape: A Game Theoretic Approach," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(1), pages 47-60, June.
    3. Patricia Laurens & Pierluigi Toma & Antoine Schoen & Cinzia Daraio & Philippe Larédo, 2022. "How does Internationalisation affect the productivity of R&D activities in large innovative firms? A conditional nonparametric investigation," Post-Print hal-03840316, HAL.
    4. Onken, James & Miklos, Andrew C. & Dorsey, Travis F. & Aragon, Richard & Calcagno, Anna Maria, 2019. "Using database linkages to measure innovation, commercialization, and survival of small businesses," Evaluation and Program Planning, Elsevier, vol. 77(C).

    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. Nils Grashof, 2020. "Sinking or swimming in the cluster labour pool? A firm-specific analysis of the effect of specialized labour," Jena Economics Research Papers 2020-006, Friedrich-Schiller-University Jena.
    2. Battke, Benedikt & Schmidt, Tobias S. & Stollenwerk, Stephan & Hoffmann, Volker H., 2016. "Internal or external spillovers—Which kind of knowledge is more likely to flow within or across technologies," Research Policy, Elsevier, vol. 45(1), pages 27-41.
    3. Andrés Barge-Gil & Alberto López, 2015. "R versus D: estimating the differentiated effect of research and development on innovation results," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 93-129.
    4. Deyun Yin & Kazuyuki Motohashi & Jianwei Dang, 2020. "Large-scale name disambiguation of Chinese patent inventors (1985–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 765-790, February.
    5. Reichert, Fernanda Maciel & Torugsa, Nuttaneeya (Ann) & Zawislak, Paulo Antonio & Arundel, Anthony, 2016. "Exploring innovation success recipes in low-technology firms using fuzzy-set QCA," Journal of Business Research, Elsevier, vol. 69(11), pages 5437-5441.
    6. Francesco Lissoni & Michele Pezzoni & Bianca Potì & Sandra Romagnosi, 2012. "University autonomy, IP legislation and academic patenting: Italy, 1996-2007," Post-Print hal-00779750, HAL.
    7. Stefano Breschi & Francesco Lissoni & Gianluca Tarasconi, 2014. "Inventor Data for Research on Migration and Innovation: A Survey and a Pilot," WIPO Economic Research Working Papers 17, World Intellectual Property Organization - Economics and Statistics Division.
    8. Santiago Camara, 2022. "Granular Linkages, Supplier Cost Shocks & Export Performance," Papers 2203.07282, arXiv.org.
    9. Francisco Puig & Belen Garcia-Mora & Cristina Santamaria, 2011. "Survival of the firm and territory," ERSA conference papers ersa11p197, European Regional Science Association.
    10. Carayol, Nicolas & Bergé, Laurent & Cassi, Lorenzo & Roux, Pascale, 2019. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 218-238.
    11. Rosellon, Maureen Ane D. & del Prado, Fatima Lourdes E., 2017. "Achieving Innovation Without Formal R&D: Philippine Case Study of Garment Firms," Discussion Papers DP 2017-09, Philippine Institute for Development Studies.
    12. Markus Simeth & Michele Cincera, 2016. "Corporate Science, Innovation, and Firm Value," Management Science, INFORMS, vol. 62(7), pages 1970-1981, July.
    13. Johannes Heck & Mirko Meboldt, 2016. "CURRENT CHALLENGES IN PRODUCT DEVELOPMENT PROCESSES OF SWISS SMEs," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(05), pages 1-19, June.
    14. Jung, Taehyun & Ejermo, Olof, 2014. "Demographic patterns and trends in patenting: Gender, age, and education of inventors," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 110-124.
    15. Favaro, Donata & Ninka, Eniel & Turvani, Margherita, 2012. "Productivity in innovation: the role of inventor connections and mobility," MPRA Paper 38950, University Library of Munich, Germany.
    16. Torben Schubert & Elisabeth Baier & Christian Rammer, 2018. "Firm capabilities, technological dynamism and the internationalisation of innovation: A behavioural approach," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(1), pages 70-95, January.
    17. Ufuk Akcigit & Santiago Caicedo & Ernest Miguelez & Stefanie Stantcheva & Valerio Sterzi, 2018. "Dancing with the Stars: Innovation Through Interactions," NBER Working Papers 24466, National Bureau of Economic Research, Inc.
    18. Roberta Piergiovanni & Enrico Santarelli, 2013. "The more you spend, the more you get? The effects of R&D and capital expenditures on the patenting activities of biotechnology firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 497-521, February.
    19. Miguélez, Ernest & Moreno, Rosina, 2015. "Knowledge flows and the absorptive capacity of regions," Research Policy, Elsevier, vol. 44(4), pages 833-848.
    20. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.

    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:wsi:ijitmx:v:14:y:2017:i:01:n:s021987701740003x. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitm/ijitm.shtml .

    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.