Enterprise Survey 2012
China, 2011 - 2013
Get MicrodataCreated on
Sep 15, 2013
Last modified
Mar 29, 2019
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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:
-
Format:
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)
Non-IT related technologies (e.g., equipments needed for production/operations/manufacturing)
Categories
| Value | Category |
|---|---|
| -9 | Dont know |
| -7 | Not applicable |
| 0 | |
| 100 | |
| 3000 | |
| 5000 | |
| 5500 | |
| 6000 | |
| 8000 | |
| 10000 | |
| 12000 | |
| 14000 | |
| 16000 | |
| 17000 | |
| 20000 | |
| 30000 | |
| 32000 | |
| 40000 | |
| 45000 | |
| 50000 | |
| 60000 | |
| 65000 | |
| 68000 | |
| 70000 | |
| 80000 | |
| 85000 | |
| 90000 | |
| 100000 | |
| 110000 | |
| 120000 | |
| 130000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 190000 | |
| 200000 | |
| 210000 | |
| 220000 | |
| 230000 | |
| 250000 | |
| 260000 | |
| 263000 | |
| 270000 | |
| 280000 | |
| 290000 | |
| 300000 | |
| 320000 | |
| 330000 | |
| 350000 | |
| 360000 | |
| 400000 | |
| 420000 | |
| 430000 | |
| 450000 | |
| 490000 | |
| 500000 | |
| 520000 | |
| 530000 | |
| 550000 | |
| 560000 | |
| 570000 | |
| 580000 | |
| 600000 | |
| 606137 | |
| 630000 | |
| 640000 | |
| 650000 | |
| 680000 | |
| 700000 | |
| 750000 | |
| 770000 | |
| 780000 | |
| 800000 | |
| 820000 | |
| 850000 | |
| 860000 | |
| 870000 | |
| 890000 | |
| 900000 | |
| 920000 | |
| 950000 | |
| 960000 | |
| 1000000 | |
| 1100000 | |
| 1130000 | |
| 1190000 | |
| 1200000 | |
| 1250000 | |
| 1300000 | |
| 1350000 | |
| 1380000 | |
| 1400000 | |
| 1450000 | |
| 1500000 | |
| 1600000 | |
| 1700000 | |
| 1750000 | |
| 1800000 | |
| 1900000 | |
| 1950000 | |
| 2000000 | |
| 2100000 | |
| 2200000 | |
| 2300000 | |
| 2350000 | |
| 2400000 | |
| 2500000 | |
| 2600000 | |
| 2700000 | |
| 2800000 | |
| 2900000 | |
| 3000000 | |
| 3100000 | |
| 3200000 | |
| 3500000 | |
| 3600000 | |
| 3800000 | |
| 3900000 | |
| 4000000 | |
| 4200000 | |
| 4500000 | |
| 4600000 | |
| 4750000 | |
| 4900000 | |
| 5000000 | |
| 5600000 | |
| 6000000 | |
| 6300000 | |
| 6800000 | |
| 6900000 | |
| 7000000 | |
| 7200000 | |
| 8000000 | |
| 8500000 | |
| 8600000 | |
| 8700000 | |
| 8900000 | |
| 9000000 | |
| 9500000 | |
| 9600000 | |
| 9800000 | |
| 10000000 | |
| 12000000 | |
| 12500000 | |
| 13000000 | |
| 15000000 | |
| 16000000 | |
| 17000000 | |
| 20000000 | |
| 23000000 | |
| 25000000 | |
| 27000000 | |
| 30000000 | |
| 33000000 | |
| 35000000 | |
| 50000000 | |
| 60000000 | |
| 66000000 | |
| 70000000 | |
| 89000000 | |
| 120000000 | |
| 160000000 | |
| 300000000 | |
| 1000000000 | |
| 5100000000 | |
| Sysmiss |
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.