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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. Outline. Introduction Methodology and Basic Features of Japanese Patent Database - PowerPoint PPT Presentation
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1
Construction of Japanese Patent Database and Preliminary
Findings on Patenting Activities in Japan
Akira Gotoand
Kazuyuki MotohashiRCAST, University of Tokyo
EPIP Conference, Milan, 24-25, February 2006
2
Outline
1. Introduction
2. Methodology and Basic Features of Japanese Patent Database
3. Comparing Japanese citation data with those of Europe and the U.S. Overview of innovation activities by Japanese Patent Database
4. Citation Analysis by Japanese Patent Database
5. Conclusion
3
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
4
Need for a patent database using JPO patentsIIP PATENT DATABASE
IIP: Institute of Intellectual Propertyhttp://database.iip.or.jp/patentdb/index.html
(only for Japanese)
An English version will be available at http://www.iip.or.jp/
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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 ac
ceptance of application to examination process by JPO.
About 50 boxes of half inch tape.
6
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.
7
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
8
Aggregated Technology Category
1Agriculture A01 ExceptA01N)( 62 Food Stuffs A21 ~ A24 63Personal and Domestic Articles A41 ~ A47 64Health and Amusement A61 ~ A63 Except A61K( ) 35Drugs A61K 36Separating, Mixing B01 ~ B09 17Machine tools, Metal working B21 ~ B23 58Casting, Grinding, Layered Product B24 ~ B32 Except B31( ) 59Printing B41 ~ B44 610Transporting B60 ~ B64 511Packing, Lifting B65 ~ B68 512Non organic chemistry, Fertilizer C01 ~ C05 113Organic chemistry, Pesticides C07 、 A01N 114Organic molecule compounds C08 115Dyes, Petroleum C09 ~ C11 116Biotechnology, Beer, Fermentation C12 ~ C14 317Genetic Engineering C12N15/ 318Metallurgy, Coating metals C21 ~ C30 519Textile D01 ~ D07 620Paper D21 、 B31 621Construction E01 ~ E06 622Mining, Drilling E21 623Engine, Pump F01 ~ F04 、 F15 524Engineering elements F16 ~ F17 525 Lighting, Steam generation, Heating F21 ~ F28 626Weapons, Blasting F41 ~ F42 、 C06 627Measurement, Optics, Photography G01 ~ G03 428Clock, Controlling, Computer G04 ~ G08 229Display, Information Storage, Instruments G09 ~ G12 230Nuclear physics G21 431Electronics components, semiconductor H01 ~ H02 、 H05 432Electronics circuit, communication tech. H03 ~ H04 233Others B81 、 B82 6
Tech No Ti t l e Correspondi ng I PC NBER
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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
10
③Applicant file(626,708 records)
Applicant number Applicant name Applicant type (individual, corporation or
government) Country and prefecture code JPO applicant code
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④Rights holder file(204,622 records)
Rights holder number Rights holder name
12
⑤Citation information file(5,318,225records)
Citing patent application number Cited patent application number Citation type
13
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
14
Patent application by technology
0
50000
100000
150000
200000
250000
300000
350000
400000
450000
500000
1964
1967
1970
1973
1976
1979
1982
1985
1988
1991
1994
1997
2000
2003
Chemical ICT Medical&Drugs Electronics Machinery Other Unclassified
15
Patent application by applicant type
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
Foreign Individual Private Enterprise Non Profit Org.
16
Patent registration by technology
0
50000
100000
150000
200000
250000
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
Chemical ICT Medical&Drugs Electronics Machinery Other
17
Number of claims by technology
0
2
4
6
8
10
12
14
16
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
Chemical ICT Medical&DrugsElectronics Machinery Other
18
Patent Life Length by Applicant Type
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Foreign Individual Private Enterprise Non Profit Org.
19
Patent Life Length by Application Date
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Before 1970 1970's 1980's After 1990
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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.
21
Patent counts with citation made
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
1964
1967
1970
1973
1976
1979
1982
1985
1988
1991
1994
1997
2000
2003
No Citation Examiner Rejection Patent Publication Both
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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?
23
Correction of patent data biases by OECD patent family data
JP-1
EP-1
JP-2
JP-4
JP-5
US-1
JP-101
JP-102
JP-103
JP-104
Family A
Family B
Family AA
Family BB
EP-101
24
Data
JP Citation: IIP Patent DatabaseEP Citation: EP Citation DatabaseUS Citation: NBER Patent Database + B. Hall ExtensionOECD Patent Family: 1978-2002 Data
Total Citation AverageFamily # Number Family #
J P 117700 77045 1.53EP 113490 80991 1.40US 566756 205974 2.75
25
Overlapping Citing Cited Pairs? JP Patent
US Patent EP Patent
2,609
21,295
11,532
6,437
83,149
97,122531,320
26
What about citation lags?
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
J P EP US
27
Correlation of citation count
EP US J PEP -US 0.22 -J P 0.23 0.24 -
Backward citation count (citation made)
EP US J PEP -US 0.42 -J P 0.42 0.36 -
Forward citation count (citation received)
28
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
29
Share of patents with citing made and citation received
0%
10%
20%
30%
40%
50%
60%
70%
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
Citing Cited
30
Indicators for backward citation (citation made)
0.0
0.5
1.0
1.5
2.0
2.5
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
Number of citing (left scale) Originarity (right scale)
31
Indicators for forward citation(citation received)
0.0
0.5
1.0
1.5
2.0
2.5
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
0.00
0.02
0.04
0.06
0.08
0.10
0.12
Number of cited (left scale) Generality (right scale)
32
Descriptive regressions of patent indicators (1)
Share Mean # Mean Share Mean # Mean Citing (%) Citing Originality Cited (%) Cited Generality
1970's 0.000 0.000 0.000 0.000 0.614 0.086(.) (.) (.) (.) (11.53)** (9.85)**
1980's 0.144 0.197 0.021 0.037 0.626 0.096(8.07)** (4.63)** (1.28) (2.95)** (11.80)** (11.11)**
1990's 0.299 0.416 0.048 -0.128 0.353 0.060(16.82)** (9.81)** (2.89)** (10.27)** (6.66)** (6.89)**
2000's 0.376 0.453 0.059 -0.319 0.000 0.000(21.00)** (10.43)** (3.50)** (25.34)** (.) (.)
Firms 0.057 0.118 -0.012 0.036 0.152 -0.013(3.75)** (3.26)** (0.82) (3.33)** (3.83)** (1.95)
Public Organization 0.005 -0.021 -0.001 0.026 -0.007 -0.001(0.33) (0.56) (0.06) (2.38)* (0.17) (0.18)
33 technology field dummies…………R-squared 0.67 0.45 0.19 0.77 0.48 0.48
33
Descriptive regressions of patent indicators (2)
High citing patent counts: printing, machine tools, non-organic chemistry, drug,
organic molecule, dyes, metallurgy, textile, optics, communication technology
High cited patent counts: printing, paper, drug, organic molecule, display and
information storage High generality index:
separating and mixing, organic molecule, metallurgy
34
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 a
lso home biases On the other hand, substantial cross co-relation for citation received inf
ormation (indicator of important patent for cumulative innovation) Preliminary citation analysis conducted
35
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? Us
ing patent family information Adding other variables such as inventor informatio
n, post grant opposition etc. Linkage with firm level data such as financial repo
rt data