File Name: affiliate_dat
Observations:
528
Unique Index:
year*rank
Description: This
file is created from the top 500 foreign affiliate sales files, for years 2006
and 2007. For each year, we first throw
out the affiliates that are not actually foreign affiliates (this includes
Chinese firms based in Hong Kong, perhaps for tax purposes,
that are in this top 500 list). This leaves 251 affiliates for 2006 and
277 affiliates for 2007. Many of these
affiliates have a common owner. We group
the various affiliates by common owner and use the variable multinat_text as
the name of the foreign firm. We use
multinat_id as the index of the foreign firm.
Note that in some cases there are two foreign firms listed on the same
affiliate. For
example, SONY Ericcson. In such
cases, we create two records, one for SONY, the other for Ericson.
The Table
below list is a summary table of the file, adding up affiliate sales across
multinat_id by year.
Variables
Variable |
Type |
Len |
Columns in Ascii
File |
Description |
Year |
Num |
8 |
1-8 |
The year of the affiliate record (either 2006 or 2007) |
Rank |
Num |
8 |
9-16 |
The sales rank of the given affiliate in the given year |
Sales_RMB_100mil |
Num |
8 |
17-24 |
The annual sales of the affiliate, in RMB 100 million. |
multinat_text |
Char |
23 |
25-47 |
The name of the foreign multinational |
Name_Enterprise |
Char |
128 |
48-175 |
The name of the affiliate, as orginally specified in the
raw file |
Place |
Char |
131 |
176-306 |
The location of the affiliate, from the raw file. |
Nation_Area |
Char |
56 |
307-362 |
The country of the affiliate, from the raw file |
Telephone |
Char |
29 |
363-391 |
The telephone number of the affiliate, from the raw file. |
multinat_id |
Num |
8 |
392-399 |
The unique index we assign to each multionational |
multinat_country |
Char |
2 |
400-401 |
The country of the multinational |
Table Showing Total Sales of Foreign
Affiliates, by Foreign Multinational and Year, and by Country and Year
(Note we are
excluding affiliates of Chinese-owned companies. That is why there are 251 and 277 affiliates
in years 2006 and 2007,
and not 500 in each year.)
|
Count of Affiliates
By Year |
Total Sales
Across Affiliates |
|||
Year |
Year |
||||
2006 |
2007 |
2006 |
2007 |
||
|
Sales_RMB_100mil |
Sales_RMB_100mil |
|||
All |
251 |
277 |
26,800 |
33,670 |
|
multinat_id |
multinat_text |
5 |
7 |
2,330 |
2,971 |
1 |
Foxconn |
||||
2 |
Nokia |
2 |
3 |
1,195 |
1,455 |
3 |
Volkswagen |
4 |
4 |
1,845 |
2,335 |
4 |
Quanta |
2 |
2 |
664 |
981 |
5 |
General_Motors |
4 |
4 |
851 |
882 |
6 |
Motorola |
2 |
2 |
1,188 |
791 |
7 |
Toyota |
7 |
8 |
1,062 |
1,663 |
8 |
Honda |
3 |
3 |
614 |
729 |
9 |
Samsung |
15 |
14 |
1,270 |
1,626 |
10 |
Nissan |
2 |
2 |
335 |
421 |
11 |
Total |
1 |
1 |
359 |
356 |
12 |
Sony |
6 |
6 |
688 |
831 |
13 |
Ericsson |
4 |
4 |
503 |
583 |
14 |
Ford |
2 |
2 |
247 |
369 |
15 |
Mazda |
. |
2 |
. |
379 |
16 |
Seagate |
1 |
1 |
229 |
252 |
17 |
Chimei |
2 |
2 |
96 |
304 |
18 |
Flextronics |
5 |
5 |
489 |
605 |
19 |
BP |
4 |
4 |
417 |
390 |
20 |
Hewlett_Packard |
3 |
4 |
335 |
425 |
21 |
Hyundai |
3 |
4 |
431 |
462 |
22 |
Shell |
2 |
3 |
255 |
328 |
23 |
POSCO |
2 |
3 |
142 |
305 |
24 |
Dell |
2 |
2 |
387 |
395 |
25 |
Peugeot_Citroen |
1 |
1 |
185 |
201 |
26 |
Wistron |
4 |
4 |
473 |
537 |
27 |
Pegatron |
1 |
1 |
33 |
187 |
28 |
BASF |
1 |
2 |
161 |
224 |
29 |
BMW |
2 |
2 |
191 |
296 |
30 |
Qisda |
. |
1 |
. |
167 |
31 |
Sharp |
4 |
5 |
292 |
383 |
32 |
Daimler |
1 |
1 |
82 |
162 |
33 |
Alcatel |
1 |
1 |
143 |
161 |
34 |
Walmart |
2 |
2 |
198 |
282 |
35 |
Sumitomo |
1 |
1 |
129 |
149 |
36 |
LG |
13 |
10 |
985 |
919 |
37 |
Amway |
1 |
1 |
122 |
140 |
38 |
Inventec |
3 |
2 |
284 |
195 |
39 |
Procter_Gamble |
2 |
1 |
239 |
135 |
40 |
Freescale |
1 |
1 |
108 |
135 |
41 |
Matsushita_Panasonic |
5 |
5 |
333 |
479 |
42 |
MSI |
1 |
1 |
125 |
126 |
43 |
Nisshin_Steel |
1 |
1 |
98 |
121 |
44 |
Mitsui |
1 |
2 |
98 |
169 |
45 |
Hanwa |
1 |
1 |
98 |
121 |
46 |
Siemens |
3 |
3 |
182 |
222 |
47 |
Philips |
5 |
2 |
386 |
156 |
48 |
Nippon_Steel |
1 |
1 |
91 |
107 |
49 |
Arcelor |
1 |
1 |
91 |
107 |
50 |
Compal |
5 |
4 |
358 |
357 |
51 |
Qimonda |
2 |
2 |
143 |
175 |
52 |
Suzuki |
2 |
2 |
130 |
157 |
53 |
IBM |
4 |
2 |
244 |
179 |
54 |
Exxon |
. |
2 |
. |
172 |
55 |
Saudi_Aramco |
. |
2 |
. |
172 |
56 |
SK_Hynix |
1 |
2 |
40 |
160 |
57 |
Jabil_Circuit |
1 |
2 |
90 |
154 |
58 |
Lite_on |
1 |
1 |
93 |
92 |
59 |
Ingram_Micro |
1 |
1 |
58 |
89 |
60 |
Schneider |
1 |
1 |
70 |
88 |
61 |
Nippon_Mining_Metal |
1 |
1 |
76 |
86 |
62 |
Fuji |
1 |
1 |
82 |
84 |
63 |
Xerox |
1 |
1 |
82 |
84 |
64 |
Synnex_Technology |
. |
1 |
. |
84 |
65 |
KIA |
1 |
1 |
96 |
84 |
66 |
Solectron |
1 |
2 |
76 |
128 |
67 |
Canon |
6 |
5 |
382 |
326 |
68 |
Otis_Elevator |
2 |
1 |
101 |
82 |
69 |
Mitsubishi |
3 |
3 |
136 |
205 |
70 |
Toshiba |
4 |
4 |
224 |
228 |
71 |
NEC |
2 |
2 |
98 |
118 |
72 |
Askey |
1 |
1 |
80 |
76 |
73 |
DHL_Danzas |
1 |
1 |
54 |
76 |
74 |
Delta_Electronics |
2 |
2 |
121 |
146 |
75 |
Unilever |
1 |
2 |
60 |
124 |
76 |
Komatsu |
2 |
2 |
87 |
125 |
77 |
Uniwill |
1 |
1 |
50 |
72 |
78 |
Hitachi |
4 |
7 |
179 |
356 |
79 |
Pacific_Steel |
1 |
1 |
55 |
72 |
80 |
Tai_I |
1 |
1 |
70 |
68 |
81 |
Doosan |
1 |
1 |
47 |
68 |
82 |
Nike |
. |
1 |
. |
68 |
83 |
Ricoh |
1 |
1 |
66 |
66 |
84 |
ADM |
1 |
1 |
49 |
65 |
85 |
Wilmar |
1 |
1 |
49 |
65 |
86 |
Epson |
3 |
2 |
155 |
108 |
87 |
Anheuser_Busch_InBev |
1 |
1 |
45 |
63 |
88 |
Proview |
1 |
1 |
35 |
60 |
89 |
China_Motor |
1 |
1 |
40 |
58 |
90 |
Kunda |
1 |
1 |
52 |
58 |
91 |
Daikin |
2 |
2 |
80 |
111 |
92 |
Auchan |
1 |
1 |
44 |
57 |
93 |
USI_Electronics |
1 |
2 |
51 |
114 |
94 |
Brother |
1 |
1 |
41 |
57 |
95 |
Cummins |
1 |
1 |
38 |
57 |
96 |
ECS_Technology |
1 |
1 |
42 |
56 |
97 |
Best_Buy |
1 |
1 |
47 |
56 |
98 |
LOreal |
1 |
1 |
34 |
56 |
99 |
Iveco |
1 |
2 |
31 |
106 |
100 |
Amtran |
. |
1 |
. |
54 |
101 |
Kobelco |
. |
1 |
. |
53 |
102 |
Far_Eastern |
1 |
1 |
45 |
53 |
103 |
Nestle |
1 |
1 |
47 |
53 |
104 |
Sanmina_SCI |
1 |
1 |
47 |
52 |
105 |
ASUSTeK |
. |
1 |
. |
50 |
106 |
Morgan_Stanley |
. |
1 |
. |
50 |
107 |
Johnson_Controls |
1 |
1 |
46 |
50 |
108 |
Wrigley |
1 |
1 |
39 |
48 |
109 |
Inco |
. |
1 |
. |
48 |
110 |
Yieh |
. |
1 |
. |
48 |
111 |
Itochu |
1 |
1 |
37 |
48 |
112 |
Bayer |
. |
1 |
. |
47 |
113 |
Cargill |
. |
1 |
. |
47 |
114 |
Emerson |
1 |
1 |
40 |
47 |
115 |
Kuehne_Nagel |
. |
1 |
. |
47 |
116 |
Bosch |
1 |
1 |
36 |
47 |
117 |
Coca_Cola |
1 |
1 |
37 |
47 |
118 |
JEAN |
1 |
1 |
46 |
46 |
119 |
Celestica |
2 |
2 |
85 |
91 |
120 |
Lihwa |
2 |
2 |
113 |
87 |
121 |
Makita |
1 |
1 |
34 |
46 |
122 |
Adidas |
1 |
1 |
37 |
46 |
123 |
Sanyo |
2 |
1 |
74 |
45 |
124 |
Microsoft |
1 |
1 |
39 |
45 |
125 |
UPM_Kymmene |
1 |
1 |
34 |
45 |
126 |
Carrefour |
1 |
1 |
39 |
45 |
127 |
Darfon |
. |
1 |
. |
45 |
128 |
Isuzu |
2 |
2 |
75 |
85 |
129 |
Cheng_Shin |
1 |
1 |
35 |
45 |
130 |
Kyocera_Mita |
1 |
1 |
47 |
44 |
131 |
Mitsumi |
. |
1 |
. |
43 |
132 |
Pioneer |
2 |
1 |
72 |
43 |
133 |
Leo_Burnett_Advertising |
1 |
1 |
40 |
43 |
134 |
Kinpo |
1 |
1 |
46 |
43 |
135 |
ABB |
1 |
1 |
33 |
42 |
136 |
Caterpillar |
2 |
2 |
84 |
82 |
137 |
Jebsen_Jessen |
. |
1 |
. |
41 |
138 |
Formosa_Optical |
1 |
1 |
35 |
41 |
139 |
Bridgestone |
1 |
1 |
32 |
41 |
140 |
Krupp |
1 |
1 |
47 |
41 |
141 |
Tripod |
. |
1 |
. |
41 |
142 |
Logitech |
1 |
1 |
40 |
41 |
143 |
Delphi_Packard |
. |
1 |
. |
40 |
multinat_country |
1 |
1 |
45 |
63 |
|
BE |
|||||
CA |
2 |
3 |
85 |
139 |
|
CH |
3 |
4 |
120 |
182 |
|
DE |
17 |
20 |
2,779 |
3,711 |
|
FI |
3 |
4 |
1,229 |
1,500 |
|
FR |
7 |
7 |
873 |
965 |
|
GB |
5 |
6 |
478 |
514 |
|
IT |
1 |
2 |
31 |
106 |
|
JP |
74 |
80 |
5,946 |
8,029 |
|
KR |
36 |
35 |
3,010 |
3,623 |
|
LU |
1 |
1 |
91 |
107 |
|
NL |
7 |
5 |
641 |
484 |
|
SA |
. |
2 |
. |
172 |
|
SE |
4 |
4 |
503 |
583 |
|
SG |
7 |
7 |
580 |
726 |
|
TW |
40 |
47 |
5,276 |
7,121 |
|
US |
43 |
49 |
5,112 |
5,645 |