Construction of Japanese Patent Database and Preliminary Findings on Patenting Activities in Japan Akira Goto and Kazuyuki Motohashi RCAST, University of Tokyo EPIP Conference, Milan, 24-25, February 2006 1 Outline 1. 2. 3. 4. 5. Introduction Methodology and Basic Features of Japanese Patent Database Comparing Japanese citation data with those of Europe and the U.S. Overview of innovation activities by Japanese Patent Database Citation Analysis by Japanese Patent Database Conclusion 2 1.Introduction “Nothing exists until it is measured” ----- Niels Bohr Difficulty in measuring knowledge despite the talk of “knowledge society” Patent as a source of information on technological knowledge Great contribution of NBER patent citation database to innovation research 3 Need for a patent database using JPO patents IIP PATENT DATABASE IIP: Institute of Intellectual Property http://database.iip.or.jp/patentdb/index.html (only for Japanese) An English version will be available at http://www.iip.or.jp/ 4 2. Methodology and Basic Features of Japanese Patent Database Original Data Source; JPO Seiri hyojunka Data (Literally translating, “Arranged and Standardized Data”, hereafter, JPO Patent Database) It contains the information generated through acceptance of application to examination process by JPO. About 50 boxes of half inch tape. 5 From this original data, we chose variables important for innovation research, using NBER database as benchmark. It covers patents applied after 1964. The number of patent applications included is 9,027,486. It is made of the following five files. 6 ①Patent application files (9,027,486records) Application number Application date Examination request date Applicant number Number of claims at patent application Lead IPC code at patent application Aggregated technology category 7 Aggregated Technology Category Tech No 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 Title A griculture Food Stuffs P ersonaland D om estic A rticles H ealth and A m usem ent D rugs Separating,M ixing M achine tools,M etalw orking C asting,G rinding,Layered P roduct P rinting Transporting P acking,Lifting N on organic chem istry,Fertilizer O rganic chem istry,P esticides O rganic m olecule com pounds D yes,P etroleum B iotechnology,B eer,Ferm entation G enetic Engineering M etallurgy,C oating m etals Textile P aper C onstruction M ining,D rilling Engine,P um p Engineering elem ents Lighting,Steam generation,H eating W eapons,B lasting M easurem ent,O ptics,P hotography C lock,C ontrolling,C om puter D isplay,Inform ation Storage,Instrum ents N uclear physics Electronics com ponents,sem iconductor Electronics circuit,com m unication tech. O thers Corresponding IPC A 01 ~ A 21 ~ A 41 ~ A 61 A 61K ~ B 01 ~ B 21 ~ B 24 ~ B 41 ~ B 60 ~ B 65 ~ C 01 、 C 07 C 08 ~ C 09 ~ C 12 C 12N 15/ ~ C 21 ~ D 01 、 D 21 ~ E01 E21 ~ F01 ~ F16 ~ F21 ~ F41 ~ G 01 ~ G 04 ~ G 09 G 21 ~ H 01 ~ H 03 、 B 81 ( ExceptA 01N ) A 24 A 47 A 63 ( Except A 61K) B 09 B 23 B 32 B 44 B 64 B 68 C 05 A 01N ( Except B 31) C 11 C 14 C 30 D 07 B 31 E06 F04 F17 F28 F42 G 03 G 08 G 12 、 F15 、 C 06 H 02 H 04 B 82 、 H 05 N BER 6 6 6 3 3 1 5 5 6 5 5 1 1 1 1 3 3 5 6 6 6 6 5 5 6 6 4 2 2 4 4 2 6 8 ②Patent registration file (2,618,699records) Application number Registration number Registration date Rights expiration date Rights holder number Number of claims at patent registration Lead IPC code at patent registration Aggregated technology category 9 ③Applicant file(626,708 records) Applicant number Applicant name Applicant type (individual, corporation or government) Country and prefecture code JPO applicant code 10 ④Rights holder file(204,622 records) Rights holder number Rights holder name 11 ⑤Citation information file(5,318,225records) Citing patent application number Cited patent application number Citation type 12 3.Overview of innovation in Japan by IIP patent Database 9,027,486 applications, 4,427,840 requests for examinations, 2,594,044 grants from 1964 through 2003. Information on patent right termination is also available. Data truncation problem 13 Patent application by technology 500000 450000 400000 350000 300000 250000 200000 150000 100000 50000 0 Unclassified 2003 2000 Other 1997 Machinery 1994 1991 Electronics 1988 1985 1982 Medical&Drugs 1979 1976 ICT 1973 1970 1967 1964 Chemical 14 Patent application by applicant type 450,000 400,000 350,000 300,000 250,000 200,000 150,000 100,000 50,000 Foreign Individual Private Enterprise Non Profit Org. 2002 2000 1998 1996 1994 1992 1990 1988 1986 1984 1982 1980 1978 1976 1974 1972 1970 1968 1966 1964 0 15 Patent registration by technology 250000 200000 150000 100000 50000 0 2003 Machinery 2001 1999 1997 Electronics 1995 1993 1991 Medical&Drugs 1989 1987 1985 ICT 1983 1981 1979 1977 1975 1973 Chemical Other 16 Number of claims by technology 16 14 12 10 8 6 4 2 0 2003 Medical&Drugs Other 2001 1999 1997 1995 1993 ICT Machinery 1991 1989 1987 1985 1983 1981 1979 1977 1975 1973 1971 Chemical Electronics 17 Patent Life Length by Applicant Type 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 1 2 3 4 Foreign 5 6 7 8 Individual 9 10 11 12 13 14 15 16 17 18 19 20 Private Enterprise Non Profit Org. 18 Patent Life Length by Application Date 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 1 2 3 4 5 6 7 Before 1970 8 9 10 11 12 13 14 15 16 17 18 19 20 1970's 1980's After 1990 19 3. Citation in IIP patent Database Two types of information on citation---both are given by patent examiner, not inventor (1)as prior art to reject application: subject to change according to examination practices (2)In Patent Gazett, reference to previous patent is made occasionally. Notable previous related patents. Only for patents granted, and after 1985. 20 Patent counts with citation made 140,000 120,000 100,000 80,000 60,000 40,000 20,000 0 2003 2000 Patent Publication 1997 1994 1991 Examiner Rejection 1988 1985 1982 1979 1976 1973 1970 1967 1964 No Citation Both 21 4. Comparing JP Citation Data with those of Europe and US JP Citation data: (1) prior art for a reject application by examiner and (2) those in Patent Gazett (again by examiner’s citation) EP Citation data: minimum number of important reference documents US Citation data: applicant’s citations (but over 40% of citations are made by examiner, Alacer and Gittleman, 2004), citation inflation? 22 Correction of patent data biases by OECD patent family data JP-1 Family A JP-2 JP-101 JP-102 Family AA EP-1 EP-101 JP-4 JP-103 Family B JP-5 JP-104 Family BB US-1 23 Data JP Citation: IIP Patent Database EP Citation: EP Citation Database US Citation: NBER Patent Database + B. Hall Extension OECD Patent Family: 1978-2002 Data JP EP US Total C itation A verage Fam ily # N um ber Fam ily # 117700 77045 1.53 113490 80991 1.40 566756 205974 2.75 24 Overlapping Citing Cited Pairs? JP Patent 83,149 21,295 6,437 2,609 531,320 11,532 US Patent 97,122 EP Patent 25 What about citation lags? 18% 16% 14% 12% 10% 8% 6% 4% 2% 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 JP EP US 26 Correlation of citation count Backward citation count (citation made) EP US JP EP 0.22 0.23 US JP 0.24 - Forward citation count (citation received) EP US JP EP 0.42 0.42 US JP 0.36 27 5. Citation Analysis Selecting granted patents from all citing and cited pairs to capture cumulative process of innovation 5,318,225 -> 1,602,130 for 2,618,699 granted patents Comparing patent counts, generality and originality index across applicant’s type and technology field 28 Share of patents with citing made and citation received 70% 60% 50% 40% 30% 20% 10% 0% 2002 2000 1998 1996 1994 1992 1990 1988 1986 1984 1982 1980 1978 1976 1974 1972 1970 1968 1966 1964 Citing Cited 29 Indicators for backward citation (citation made) 2.5 0.18 0.16 2.0 0.14 0.12 1.5 0.10 0.08 1.0 0.06 0.04 0.5 0.02 0.0 0.00 2002 2000 1998 1996 1994 1992 1990 1988 1986 1984 1982 1980 1978 1976 1974 1972 1970 1968 1966 1964 Number of citing (left scale) Originarity (right scale) 30 Indicators for forward citation (citation received) 2.5 0.12 0.10 2.0 0.08 1.5 0.06 1.0 0.04 0.5 0.02 0.0 0.00 2002 2000 1998 1996 1994 1992 1990 1988 1986 1984 1982 1980 1978 1976 1974 1972 1970 1968 1966 1964 Number of cited (left scale) Generality (right scale) 31 Descriptive regressions of patent indicators (1) 1970's 1980's 1990's 2000's Firms Public Organization 33 technology field dummies ………… R-squared Share Citing (%) 0.000 (.) 0.144 (8.07)** 0.299 (16.82)** 0.376 (21.00)** 0.057 (3.75)** 0.005 (0.33) Mean # Citing 0.000 (.) 0.197 (4.63)** 0.416 (9.81)** 0.453 (10.43)** 0.118 (3.26)** -0.021 (0.56) Mean Originality 0.000 (.) 0.021 (1.28) 0.048 (2.89)** 0.059 (3.50)** -0.012 (0.82) -0.001 (0.06) Share Cited (%) 0.000 (.) 0.037 (2.95)** -0.128 (10.27)** -0.319 (25.34)** 0.036 (3.33)** 0.026 (2.38)* Mean # Cited 0.614 (11.53)** 0.626 (11.80)** 0.353 (6.66)** 0.000 (.) 0.152 (3.83)** -0.007 (0.17) Mean Generality 0.086 (9.85)** 0.096 (11.11)** 0.060 (6.89)** 0.000 (.) -0.013 (1.95) -0.001 (0.18) 0.67 0.45 0.19 0.77 0.48 0.48 32 Descriptive regressions of patent indicators (2) High citing patent counts: High cited patent counts: printing, machine tools, non-organic chemistry, drug, organic molecule, dyes, metallurgy, textile, optics, communication technology printing, paper, drug, organic molecule, display and information storage High generality index: separating and mixing, organic molecule, metallurgy 33 6. Conclusion Construction of IIP Patent Database: filling a hole of patent database initiative in the triad Open up opportunities for further research of on innovation and further data developments: for example IIP patent data base can be linked with JPO’s Survey on Intellectual Property Activities Citation data analysis Substantial differences: not only by patent system (JP-EP vs US), but also home biases On the other hand, substantial cross co-relation for citation received information (indicator of important patent for cumulative innovation) Preliminary citation analysis conducted 34 Future works Data cleaning of applications name Using Japanese character makes things better Standardized name and JPO applicant coded after 1992 International coordination: match to Derwent codes? Using patent family information Adding other variables such as inventor information, post grant opposition etc. Linkage with firm level data such as financial report data 35
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