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A stroll along the academic use of IP statistics

A stroll along the academic use of IP statistics. by Julio Raffo EPFL – MTEI – CEMI. Current context Main concerns CEMI research Methodological developments Economic analysis Other uses Other academic initiatives Suggestions. Outline. Current context. IP Bibliographical DBs.

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A stroll along the academic use of IP statistics

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  1. A stroll along the academic use of IP statistics by Julio Raffo EPFL – MTEI – CEMI

  2. Current context Main concerns CEMI research Methodological developments Economic analysis Other uses Other academic initiatives Suggestions Outline

  3. Current context IP Bibliographical DBs IP Management DBs PATFT INPADOC Patent Assignment Etc, etc DocDB Etc, etc ‘Statistics friendly’ DBs PATSTAT NBER Triadic REGPAT Derwent Etc, etc

  4. Main concerns • Humongous databases • Several tables with millions of rows • A different unit of analysis • Patent vs Countries, sectors, firms or individuals • Difficulties to match with other economic data • e.g. Individuals names or firm consolidation • Static vs dynamic fields • e.g. Original applicant or last owner • Time lag • Up to 4 years if application date considered • IP tacit knowledge • Too many tricks and traps

  5. Methodological developments Economic Analysis Other uses Some examples of our research

  6. MD1: Matching names

  7. MD2: Patent Families

  8. EA1: EPFL co-filing network

  9. EA2: Watch industry Quartz Electro Mechanical Mechanical

  10. EA3: Nanotechnology

  11. EA4: S&T ‘Nano-districts’ surface

  12. EA5: Education industry (1) - Entry

  13. EA6: Education industry (2) - Concentration

  14. Other: e.g. Start-ups Case 1 Case 2 Technological Upstream 63 technologies 2’581 patent applications Around 90 “big players” (including Universities, etc) 46+ markets protected Technological Downstream 52 technologies 411 patent applications Around 90 “big players” (including Universities, etc) 25+ markets protected Technological Upstream • 77 technologies • 361 patent applications • Around 60 “big players” (including Universities, etc) • 21+ markets protected Technological Downstream • 66 technologies • 311 patent applications • Around 60 “big players” (including Universities, etc) • 20+ markets protected

  15. Other academic initiatives • Main topics: • Technological outcomes • OECD, EUROSTAT, etc. • Academic patenting • Lissoni F, Stephan P, etc. • (Stock) Market value of intangibles • Hall B, etc. • Patent value • PATVAL survey, van Pottelsberghe B, etc. • Thickets • Harhoff D, etc. • Etc etc

  16. Suggestions • Inventor and applicants id • Inventor birth date • Applicants sector • Applicants type • Individual, PRO, private firm, etc. • Applicants ultimate affiliation/ownership • and its country! • Improve the DBs from DCs • e.g. LATIPAT initiative.

  17. Thank you julio.raffo@epfl.ch

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