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The Surge in Patenting by U.S. Semiconductor Firms: An Empirical - PowerPoint PPT Presentation

The Surge in Patenting by U.S. Semiconductor Firms: An Empirical Analysis Bronwyn H. Hall Department of Economics, UC Berkeley Rosemarie Ham Ziedonis Wharton School, University of Pennsylvania STEP Board IPR Conference Washington, D.C.


  1. The Surge in Patenting by U.S. Semiconductor Firms: An Empirical Analysis Bronwyn H. Hall Department of Economics, UC Berkeley Rosemarie Ham Ziedonis Wharton School, University of Pennsylvania STEP Board IPR Conference Washington, D.C. February 2, 2000

  2. Motivation • Overall increase in US patenting since early 1980s • Kortum and Lerner (1998) – “friendly court” hypothesis – “regulatory capture” hypothesis – “fertile technology” hypothesis – “managerial improvements” hypothesis • Patents still ineffectual for firms in most industries? • Yale Survey 1982 • Carnegie Mellon Survey (CMS) 1994 • Why, then, do firms patent? 2

  3. Why Semiconductors? • Among the industries least reliant on patents to appropriate returns to R&D (Yale, CMS) • Pivotal role of lead time, secrecy and complementary manufacturing capabilities • Yet witness a dramatic surge in patenting by semiconductor firms during past decade. 3

  4. Patent Propensity: US Semiconductor Firms (SIC 3674) , 1979-94 0.700 0.600 # Successful Pat. Apps/R&D $92m 0.500 0.400 0.300 0.200 0.100 0.000 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 Year 1993 4

  5. Patent Propensity: Semiconductors vs. All US Manufacturing, 1979-94 0.700 # Successful Pat. Apps/R&D $92m 0.600 0.500 0.400 All Manufacturing (SIC 2000-3999) 0.300 Semiconductors (SIC 3674) Computing and Electronics (SIC 357x, 3861) 0.200 Pharmaceutical (SIC 283x) 0.100 0.000 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 Year 5

  6. Objectives I. Examine actual changes in firm-level patenting behavior within one broad technological area over time. – sample of firms in US semiconductor industry (sic3674) • Pro: able to identify R&D expenditures primarily directed toward semiconductor-related technologies • excludes “systems” firms and non-US firms (AT&T or IBM; Hitachi) II. Investigate differences among types of firms – manufacturers with large patent portfolios before US patent rights were strengthened, or “pre-CAFC” (TI) – manufacturers that exhibit a dramatic rise in patent propensity post-CAFC (LSI Logic, National Semiconductor) – firms entering the industry during the “pro-patent” era • specialized design firms (Xilinx, S3) III. Gain insights from interviews 6

  7. Empirical Analysis • Is the surge in patenting driven by: – TI alone? (regulatory capture) – capital-intensive manufacturers? (strategic response) • Increased cost and risks associated with infringement – Increased demands for royalties – Uncertainty regarding owners of technological inputs – Escalating costs, rapid depreciation of fabs • Costs of halting production • Time and costs associated with “designing around” • Increased value of patents as “legal bargaining assets” – Or…a simple change in the mix of firms over time? • Emergence of design firms 7

  8. Empirical Analysis: Data • 110 US semiconductor firms (SIC 3674) • Compiled entity-level patent portfolios • Matched with Compustat data • Produced sample of 97 firms in unbalanced panel, 1980-94. 8

  9. Basic Specification Y = number of successful patent applications by firm i in year t Regressors: • Firm Size (log of employment) • R&D Intensity (log; deflated) • Capital Intensity (log; deflated) • D=1 if firm entered after 1982 • D=1 if firm is manufacturer (v. specialized design firm) • D=1 if firm is Texas Instruments • Time dummies, 1980-1994 9

  10. Estimating the patent production function • Poisson-based model (Pakes and Griliches 1980; HHG 1984). E[p it |X it ] = λ it = exp(X it β + γ t ) MLE using “robust” standard errors • Interpretation: • Coefficients measure elasticity of patenting w.r.t. X (1/ λ it ) (d λ it /dX it β ) = β Year-to-year change in γ = approximate growth rate in • patenting propensity controlling for X: γ t - γ t-1 = � log λ it - � X it β = growth in expected patents less growth predicted by � X 10

  11. Summary of Econometric Results • Clear surge in patenting by US semiconductor firms since the early-to-mid 1980s. 11

  12. Residual Growth in Patenting: US Semiconductor Firms (Relative to 1980) 1.200 0.800 Coefficient 0.400 0.000 -0.400 1980 1982 1984 1986 1988 1990 1992 1994 Year 12

  13. Summary of Econometric Results (continued) • Strong, positive “TI effect” (regulatory capture?) • Surprisingly strong, positive role of capital investments on patenting decision (strategic response) – Patenting by manufacturers is 2-3x as responsive to changes in capital investments than to changes in R&D • Design firms are roughly 37% more likely to patent, controlling for firm characteristics – Patenting decision depends heavily on size and R&D intensity (not capital investments) 13

  14. Interviews • Persons directly involved in patent strategy • TI • 3 capital-intensive manufacturers • 3 specialized design firms (2=post-1982 entrants) • Main questions • Overview of IP and licensing practices • Evolution of patent strategy, 1975-98 • Internal management changes (in R&D or patenting) • General views of US patent system 14

  15. Summary of Interview Results • Capital-intensive manufacturers • Strong demonstration effect of TI and Kodak-Polaroid cases – “Ramping up”; “harvesting latent inventions” – “If in doubt, patent” • Need to safeguard assets; avoid halt in production – “Exclude before you’re excluded” • Need to improve bargaining position with other patent owners – Control outflow of royalty payments – Secure royalty income – Gain access to external technology on more favorable terms • Changes (except TI) in management of patent process – “Patent advocacy committees”; increased bonuses; goals • Design firms • Secure rights in niche product markets • Critical role of patents in attracting venture capital • One firm “opts out” 15

  16. Conclusions • Quantitative and qualitative evidence that “pro-patent” shift altered semiconductor firms’ incentives to obtain US patents – Not driven by direct “regulatory capture” effect alone – Witness “patent portfolio races” among large, capital- intensive firms. – Upsurge may reflect managerial change • Primarily in the management of the patenting and licensing process 16

  17. Policy Implications • Role of the patent system – Induce R&D investment • In semiconductors, alternative mechanisms more effective? – Provide socially beneficial disclosure of information • In semiconductors, product life cycles may outpace the issuance of related patents. • Consistent concerns that US patent standards are too low • Stronger patent rights represent an implicit tax on innovation? • Do stronger patent rights enable, or deter, entry? – Current evidence is mixed. 17

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