Enterprise Survey 2014-2016, Panel Data
Myanmar, 2014 - 2017
Get Microdata
Reference ID
MMR_2014-2016_ES-P_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Sep 14, 2017
Last modified
Sep 14, 2017
Page views
28781
Downloads
6138
- Data files
- Myanmar_2014_2016
Cost For Establishment To Re-Purchase All Of Its Machinery (n7a)
Data file: Myanmar_2014_2016
Overview
Valid:
719
Invalid:
520
Type:
Discrete
Decimal:
0
Start:
1123
End:
1134
Width:
12
Range:
-9 - 130000000000
Format:
Numeric
Questions and instructions
Literal question
Hypothetically, if this establishment were to purchase the assets it uses now, in their current condition, how much would they cost?
Machinery, vehicles, and equipment
Machinery, vehicles, and equipment
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 113 |
15.7%
|
| 0 | 7 |
1%
|
|
| 200000 | 1 |
0.1%
|
|
| 400000 | 1 |
0.1%
|
|
| 500000 | 7 |
1%
|
|
| 600000 | 1 |
0.1%
|
|
| 700000 | 1 |
0.1%
|
|
| 800000 | 1 |
0.1%
|
|
| 1000000 | 9 |
1.3%
|
|
| 1200000 | 1 |
0.1%
|
|
| 1500000 | 3 |
0.4%
|
|
| 1600000 | 1 |
0.1%
|
|
| 2000000 | 5 |
0.7%
|
|
| 2500000 | 3 |
0.4%
|
|
| 3000000 | 6 |
0.8%
|
|
| 4000000 | 2 |
0.3%
|
|
| 4500000 | 3 |
0.4%
|
|
| 5000000 | 16 |
2.2%
|
|
| 6000000 | 5 |
0.7%
|
|
| 7000000 | 10 |
1.4%
|
|
| 7500000 | 3 |
0.4%
|
|
| 8000000 | 16 |
2.2%
|
|
| 8500000 | 1 |
0.1%
|
|
| 9000000 | 3 |
0.4%
|
|
| 10000000 | 32 |
4.5%
|
|
| 11000000 | 1 |
0.1%
|
|
| 12000000 | 8 |
1.1%
|
|
| 12500000 | 1 |
0.1%
|
|
| 12800000 | 1 |
0.1%
|
|
| 13000000 | 4 |
0.6%
|
|
| 14000000 | 1 |
0.1%
|
|
| 15000000 | 26 |
3.6%
|
|
| 15300000 | 1 |
0.1%
|
|
| 17500000 | 1 |
0.1%
|
|
| 18000000 | 5 |
0.7%
|
|
| 20000000 | 19 |
2.6%
|
|
| 22000000 | 2 |
0.3%
|
|
| 24000000 | 1 |
0.1%
|
|
| 25000000 | 11 |
1.5%
|
|
| 27000000 | 1 |
0.1%
|
|
| 28000000 | 1 |
0.1%
|
|
| 28500000 | 1 |
0.1%
|
|
| 30000000 | 24 |
3.3%
|
|
| 33000000 | 1 |
0.1%
|
|
| 35000000 | 7 |
1%
|
|
| 37000000 | 1 |
0.1%
|
|
| 40000000 | 18 |
2.5%
|
|
| 45000000 | 4 |
0.6%
|
|
| 48000000 | 1 |
0.1%
|
|
| 50000000 | 42 |
5.8%
|
|
| 55000000 | 1 |
0.1%
|
|
| 60000000 | 16 |
2.2%
|
|
| 65000000 | 4 |
0.6%
|
|
| 70000000 | 11 |
1.5%
|
|
| 75000000 | 1 |
0.1%
|
|
| 80000000 | 20 |
2.8%
|
|
| 90000000 | 6 |
0.8%
|
|
| 100000000 | 32 |
4.5%
|
|
| 110000000 | 1 |
0.1%
|
|
| 120000000 | 3 |
0.4%
|
|
| 130000000 | 6 |
0.8%
|
|
| 140000000 | 1 |
0.1%
|
|
| 141300000 | 1 |
0.1%
|
|
| 150000000 | 16 |
2.2%
|
|
| 160000000 | 1 |
0.1%
|
|
| 170000000 | 1 |
0.1%
|
|
| 180000000 | 5 |
0.7%
|
|
| 200000000 | 19 |
2.6%
|
|
| 230000000 | 1 |
0.1%
|
|
| 240000000 | 2 |
0.3%
|
|
| 250000000 | 7 |
1%
|
|
| 270000000 | 1 |
0.1%
|
|
| 280000000 | 2 |
0.3%
|
|
| 300000000 | 21 |
2.9%
|
|
| 348700000 | 1 |
0.1%
|
|
| 350000000 | 1 |
0.1%
|
|
| 380000000 | 1 |
0.1%
|
|
| 398000000 | 1 |
0.1%
|
|
| 400000000 | 13 |
1.8%
|
|
| 450000000 | 1 |
0.1%
|
|
| 456000000 | 1 |
0.1%
|
|
| 500000000 | 18 |
2.5%
|
|
| 550000000 | 1 |
0.1%
|
|
| 600000000 | 5 |
0.7%
|
|
| 700000000 | 5 |
0.7%
|
|
| 750000000 | 1 |
0.1%
|
|
| 753500000 | 1 |
0.1%
|
|
| 800000000 | 5 |
0.7%
|
|
| 900000000 | 1 |
0.1%
|
|
| 975000000 | 1 |
0.1%
|
|
| 1000000000 | 11 |
1.5%
|
|
| 1009400000 | 1 |
0.1%
|
|
| 1200000000 | 2 |
0.3%
|
|
| 1250000000 | 1 |
0.1%
|
|
| 1400000000 | 1 |
0.1%
|
|
| 1500000000 | 6 |
0.8%
|
|
| 1800000000 | 1 |
0.1%
|
|
| 2000000000 | 7 |
1%
|
|
| 2200000000 | 2 |
0.3%
|
|
| 2500000000 | 1 |
0.1%
|
|
| 3000000000 | 2 |
0.3%
|
|
| 3600000000 | 2 |
0.3%
|
|
| 4000000000 | 5 |
0.7%
|
|
| 4168400000 | 1 |
0.1%
|
|
| 5000000000 | 1 |
0.1%
|
|
| 5400000000 | 1 |
0.1%
|
|
| 6165000000 | 1 |
0.1%
|
|
| 8000000000 | 1 |
0.1%
|
|
| 16522794978 | 1 |
0.1%
|
|
| 130000000000 | 1 |
0.1%
|
|
| Sysmiss | 520 |
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.
Interviewer instructions
This question is designed to ascertain the market value of the establishment's assets. Data on equipment is the most important. You can ask the manager to estimate the market value if all of the equipment, land and buildings were sold on the open market. If the respondent states that there is no market, ask how much the respondent would be willing to pay for the capital, knowing what it can produce in its current condition. Estimate how much it would cost to buy machinery in the current market which is similar in terms of age and characteristics. This estimate is to give an indication of the capital intensity of the firm. Keep in mind that it is one of the most important questions on the questionnaire.