File Name: Multinat_patent

Observations: 329,256

Description:

To construct this file, we begin with the set of large multinational firms that we identified, as discussed in the text. For each such firm, we process the applicant_name field in the Chinese patent data. We determine the set of patents, where the multinational’s name is included in the applicant_name field. Note that in some cases multinationals have joint ventures between themselves, e.g. “SONY ERICSSON.” In such a case, the patent would appear twice in the data set, one for the multinational “SONY,” a second time for the multinational “ERICSSON.” Duplicates are relatively rare (5,270 patents appear more than once out of 323,977 unique patents in the data set.) When constructing Table 1, we eliminate duplicate patent records.

The file excludes multinationals based out of Taiwan, as discussed in the separate appendix.

At the bottom of this file is a table presenting a list of all the multinational firms with a count of patents over the period 2005-2010 for each firm.

Variables

Variable	Type	Len	Columns in Ascii File	Description
multinat_text	Char	23	1-23	The text field for the multinational name.
applicant_name	Char	80	24-103	The applicant name, as listed on the China patent.
app_numfix	Char	12	104-115	The unique identifier that we use for each China patent. See the documentation on the file CNpub_basedat
multinat_id	Num	8	116-123	A numeric code we use for each foreign multionational
multinat_country	Char	2	124-125	The home country of the foreign multinational (2 digit code)
applicant_name2	Char	80	126-205	An upper case version of the application name, which some truncation of various symbols
locate_china	Num	8	206-213	=1 if there is a name of a Chinese location (e.g. city) on the applicant name, or if there is a name of a Chinese company. =0 otherwise
has_CNinvt	Num	8	214-221	=1 if there is at least one inventor with a Chinese name. See the separate appendix for a discussion of our algorithm for identifying Chinese names.
shared	Num	8	222-229	=1 if the multinational shares ownership of the patent with a Chinese firm. See the separate appendix for a discussion of our procedure for classifying patents on this variable.
type	Char	8	230-237	=’Invent’ if an invention patent =’Utility’ if a utility patent
gyear	Num	8	238-245	The year the patent was published
first_file_China	Num	8	246-253	=1 if there is no foreign priority claim made on the patent. This generally means that China is the first place the patent is being filed.
auto	Num	8	254-261	=1 if multinat_text is one of the following: ('Toyota','Honda','Nissan','Hyundai','Ford','Volkswagen','General_Motors', 'Mazda','Daimler','Suzuki','Peugeot_Citroen','BMW')

Table Showing Distribution of Counts of Patents Published 2005-2010 by Multinational and Type of Patent

		N
		All	type
			Invent	Utility
multinat_id	multinat_text	3,593	3,590	3
2	Nokia
3	Volkswagen	224	164	60
5	General_Motors	2,229	1,921	308
6	Motorola	1,927	1,922	5
7	Toyota	5,444	5,395	49
8	Honda	2,997	2,890	107
9	Samsung	22,426	21,254	1,172
10	Nissan	1,487	1,410	77
11	Total	249	249	.
12	Sony	11,979	11,954	25
13	Ericsson	3,383	3,379	4
14	Ford	1,136	976	160
15	Mazda	260	259	1
16	Seagate	140	140	.
18	Flextronics	89	69	20
19	BP	244	244	.
20	Hewlett_Packard	1,153	1,153	.
21	Hyundai	1,191	1,175	16
22	Shell	985	980	5
23	POSCO	213	213	.
24	Dell	133	121	12
25	Peugeot_Citroen	119	107	12
28	BASF	3,375	3,375	.
29	BMW	125	124	1
31	Sharp	5,094	5,054	40
32	Daimler	117	117	.
33	Alcatel	2,960	2,955	5
34	Walmart	6	6	.
35	Sumitomo	4,673	4,648	25
36	LG	18,390	18,092	298
37	Amway	1	1	.
39	Procter_Gamble	1,761	1,758	3
40	Freescale	602	602	.
41	Matsushita_Panasonic	16,250	15,171	1,079
43	Nisshin_Steel	24	24	.
44	Mitsui	932	930	2
45	Hanwa	1	1	.
46	Siemens	7,522	7,273	249
47	Philips	13,771	13,670	101
48	Nippon_Steel	777	748	29
49	Arcelor	51	50	1
51	Qimonda	1,307	1,307	.
52	Suzuki	133	117	16
53	IBM	6,542	6,542	.
54	Exxon	780	780	.
55	Saudi_Aramco	38	38	.
56	SK_Hynix	1,177	1,177	.
57	Jabil_Circuit	6	5	1
60	Schneider	315	222	93
61	Nippon_Mining_Metal	189	189	.
62	Fuji	1,607	1,603	4
63	Xerox	2,161	2,157	4
65	KIA	152	152	.
67	Canon	5,654	5,648	6
68	Otis_Elevator	385	328	57
69	Mitsubishi	7,093	7,057	36
70	Toshiba	5,334	5,250	84
71	NEC	3,617	3,521	96
75	Unilever	765	765	.
76	Komatsu	408	406	2
78	Hitachi	10,248	9,942	306
81	Doosan	98	58	40
82	Nike	278	242	36
83	Ricoh	2,349	2,345	4
84	ADM	29	29	.
86	Epson	5,688	5,567	121
87	Anheuser_Busch_InBev	34	34	.
91	Daikin	1,157	1,086	71
94	Brother	1,864	1,544	320
95	Cummins	135	107	28
97	Best_Buy	1	1	.
98	LOreal	530	530	.
99	Iveco	47	27	20
101	Kobelco	838	838	.
103	Nestle	71	67	4
104	Sanmina_SCI	11	11	.
106	Morgan_Stanley	2	2	.
107	Johnson_Controls	248	192	56
108	Wrigley	84	81	3
109	Inco	15	15	.
111	Itochu	5	4	1
112	Bayer	2,229	2,225	4
113	Cargill	123	123	.
114	Emerson	739	486	253
116	Bosch	4,602	4,524	78
117	Coca_Cola	155	154	1
119	Celestica	2	2	.
121	Makita	189	185	4
122	Adidas	26	26	.
123	Sanyo	3,962	3,869	93
124	Microsoft	3,106	3,106	.
125	UPM_Kymmene	24	24	.
128	Isuzu	170	170	.
130	Kyocera_Mita	1,407	1,395	12
131	Mitsumi	258	258	.
132	Pioneer	678	660	18
135	ABB	1,587	1,382	205
136	Caterpillar	611	577	34
139	Bridgestone	698	696	2
140	Krupp	282	238	44
142	Logitech	49	41	8
143	Delphi_Packard	14	.	14