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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / CHN_2012_ES_V01_M / variable [F1]
enterprise_surveys

Enterprise Survey 2012

China, 2011 - 2013
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Reference ID
CHN_2012_ES_v01_M
DOI
https://doi.org/10.48529/kc2d-0x45
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Study website
Created on
Jul 25, 2013
Last modified
Sep 26, 2013
Page views
521158
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  • Study Description
  • Data Description
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  • Data files
  • China-2012-full
    ES N2700 data
  • China-2012-State
    Owned N148 data

CNo7b. Spend on Non-IT related technologies (CNo7b)

Data file: China-2012-full ES N2700 data

Overview

Valid: 1693
Invalid: 1007
Type: Discrete
Decimal: 0
Start: 497
End: 506
Width: 10
Range: -9 - 5100000000
Format: Numeric

Questions and instructions

Question pretext
INTERVIEWER: READ EACH OPTION ALOUD
Literal question
Over the last three years, how much did this establishment spend in the following categories on average annually?
Non-IT related technologies (e.g., equipments needed for production/operations/manufacturing)
Categories
Value Category Cases
-9 Dont know 220
13%
-7 Not applicable 54
3.2%
0 99
5.8%
100 2
0.1%
3000 1
0.1%
5000 1
0.1%
5500 1
0.1%
6000 1
0.1%
8000 1
0.1%
10000 10
0.6%
12000 1
0.1%
14000 1
0.1%
16000 1
0.1%
17000 1
0.1%
20000 10
0.6%
30000 18
1.1%
32000 1
0.1%
40000 6
0.4%
45000 1
0.1%
50000 25
1.5%
60000 6
0.4%
65000 1
0.1%
68000 1
0.1%
70000 6
0.4%
80000 15
0.9%
85000 1
0.1%
90000 3
0.2%
100000 74
4.4%
110000 3
0.2%
120000 15
0.9%
130000 3
0.2%
140000 1
0.1%
150000 18
1.1%
160000 3
0.2%
170000 3
0.2%
180000 5
0.3%
190000 1
0.1%
200000 89
5.3%
210000 1
0.1%
220000 1
0.1%
230000 9
0.5%
250000 15
0.9%
260000 9
0.5%
263000 1
0.1%
270000 1
0.1%
280000 1
0.1%
290000 1
0.1%
300000 72
4.3%
320000 3
0.2%
330000 2
0.1%
350000 14
0.8%
360000 4
0.2%
400000 35
2.1%
420000 1
0.1%
430000 1
0.1%
450000 5
0.3%
490000 1
0.1%
500000 83
4.9%
520000 1
0.1%
530000 1
0.1%
550000 1
0.1%
560000 4
0.2%
570000 2
0.1%
580000 2
0.1%
600000 32
1.9%
606137 1
0.1%
630000 1
0.1%
640000 2
0.1%
650000 1
0.1%
680000 1
0.1%
700000 16
0.9%
750000 6
0.4%
770000 1
0.1%
780000 1
0.1%
800000 38
2.2%
820000 1
0.1%
850000 5
0.3%
860000 1
0.1%
870000 2
0.1%
890000 1
0.1%
900000 15
0.9%
920000 1
0.1%
950000 3
0.2%
960000 6
0.4%
1000000 121
7.1%
1100000 3
0.2%
1130000 1
0.1%
1190000 1
0.1%
1200000 25
1.5%
1250000 2
0.1%
1300000 5
0.3%
1350000 2
0.1%
1380000 1
0.1%
1400000 3
0.2%
1450000 1
0.1%
1500000 24
1.4%
1600000 4
0.2%
1700000 1
0.1%
1750000 1
0.1%
1800000 18
1.1%
1900000 4
0.2%
1950000 1
0.1%
2000000 78
4.6%
2100000 4
0.2%
2200000 5
0.3%
2300000 11
0.6%
2350000 1
0.1%
2400000 5
0.3%
2500000 11
0.6%
2600000 4
0.2%
2700000 1
0.1%
2800000 4
0.2%
2900000 1
0.1%
3000000 58
3.4%
3100000 2
0.1%
3200000 6
0.4%
3500000 1
0.1%
3600000 4
0.2%
3800000 3
0.2%
3900000 1
0.1%
4000000 21
1.2%
4200000 1
0.1%
4500000 7
0.4%
4600000 2
0.1%
4750000 1
0.1%
4900000 1
0.1%
5000000 30
1.8%
5600000 3
0.2%
6000000 11
0.6%
6300000 1
0.1%
6800000 2
0.1%
6900000 1
0.1%
7000000 6
0.4%
7200000 1
0.1%
8000000 10
0.6%
8500000 1
0.1%
8600000 1
0.1%
8700000 1
0.1%
8900000 1
0.1%
9000000 1
0.1%
9500000 1
0.1%
9600000 1
0.1%
9800000 1
0.1%
10000000 14
0.8%
12000000 2
0.1%
12500000 2
0.1%
13000000 2
0.1%
15000000 5
0.3%
16000000 2
0.1%
17000000 1
0.1%
20000000 5
0.3%
23000000 1
0.1%
25000000 3
0.2%
27000000 1
0.1%
30000000 6
0.4%
33000000 1
0.1%
35000000 2
0.1%
50000000 4
0.2%
60000000 1
0.1%
66000000 1
0.1%
70000000 1
0.1%
89000000 1
0.1%
120000000 1
0.1%
160000000 1
0.1%
300000000 1
0.1%
1000000000 1
0.1%
5100000000 1
0.1%
Sysmiss 1007
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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