Number of enterprises by sector and size
|
10
|
Food
|
739
|
204
|
60
|
4
|
|
11
|
Beverages
|
31
|
40
|
8
|
0
|
|
12
|
Tobacco
|
32
|
21
|
1
|
0
|
|
13
|
Textiles
|
195
|
74
|
7
|
0
|
|
14
|
Wearing apparel
|
23
|
22
|
13
|
6
|
|
15
|
Leather and related products
|
21
|
3
|
0
|
0
|
|
16
|
Wood and wood products
|
175
|
25
|
3
|
0
|
|
17
|
Paper and paper products
|
5
|
3
|
2
|
0
|
|
18
|
Printing and recorded media
|
15
|
1
|
0
|
1
|
|
19
|
Coke and refined petroleum
|
5
|
1
|
0
|
0
|
|
20
|
Chemical products
|
12
|
5
|
3
|
0
|
|
21
|
Pharmaceuticals
|
5
|
2
|
1
|
0
|
|
22
|
Rubber and plastic products
|
20
|
9
|
3
|
1
|
|
23
|
Non-metallic mineral products
|
102
|
40
|
10
|
0
|
|
24
|
Basic metals
|
56
|
9
|
2
|
0
|
|
25
|
Fabricated metal products
|
125
|
12
|
1
|
0
|
|
26
|
Computers, electronic and optical products
|
5
|
2
|
1
|
0
|
|
28
|
Machinery and equipment n.e.c. a
|
132
|
21
|
0
|
0
|
|
29
|
Motor vehicles etc.
|
5
|
0
|
0
|
0
|
|
30
|
Other transport equipment
|
8
|
1
|
0
|
0
|
|
31
|
Furniture
|
97
|
9
|
3
|
0
|
|
32
|
Other manufacturing
|
42
|
4
|
5
|
0
|
|
33
|
Repair and installation of machinery and equipment
|
1
|
2
|
0
|
0
|
|
Total
|
|
1,851
|
510
|
123
|
12
|
Note:
a n.e.c. stands for ‘not elsewhere classified’.
Source: Authors’ illustration based on Myanmar MSME 2017 data.
Number of customers (non-weighted) per sector and per size
|
Sector
|
Food and beverages
|
2.7
|
18.7
|
18.6
|
21.6
|
17.4
|
21.1
|
|
|
Rice mills
|
1.1
|
19.4
|
19.4
|
21.5
|
12.9
|
25.8
|
|
|
Tobacco
|
14.8
|
33.3
|
20.4
|
11.1
|
16.7
|
3.7
|
|
|
Textiles
|
53.6
|
24.3
|
8.7
|
6.9
|
2.9
|
3.6
|
|
|
Apparel and leather
|
10.2
|
26.1
|
20.5
|
12.5
|
15.9
|
14.8
|
|
|
Wood
|
3.0
|
18.2
|
16.3
|
23.2
|
17.2
|
22.2
|
|
|
Paper and publishing
|
3.7
|
29.6
|
18.5
|
14.8
|
7.4
|
25.9
|
|
|
Other manufacturing
|
1.6
|
15.6
|
18.0
|
21.0
|
19.3
|
24.5
|
|
Firm size category
|
Micro
|
8.9
|
18.7
|
18.5
|
19.4
|
16.0
|
18.5
|
|
|
Rice mills
|
1.3
|
18.9
|
20.1
|
20.1
|
12.0
|
27.7
|
|
|
Small
|
8.2
|
20.4
|
14.1
|
18.0
|
16.7
|
22.6
|
|
|
Rice mills
|
0.0
|
26.1
|
13.0
|
30.4
|
17.4
|
13.0
|
|
|
Medium
|
4.1
|
17.9
|
13.0
|
22.0
|
17.9
|
25.2
|
|
|
Rice mills
|
0.0
|
0.0
|
25.0
|
25.0
|
25.0
|
25.0
|
|
|
Large
|
16.7
|
16.7
|
0.00
|
25.0
|
8.3
|
33.3
|
|
Observations
|
|
213
|
475
|
430
|
481
|
404
|
493
|
Note: Weighted results follow similar structure.
Source: Authors’ calculations based on Myanmar MSME 2017 data.
Labour force composition (percent of total workforce)
|
All
|
Regular
|
84.4
|
79.3
|
85.1
|
84.2
|
|
|
Full-time
|
80.0
|
76.5
|
78.3
|
79.5
|
|
|
Female
|
24.3
|
10.3
|
39.6
|
25.7
|
|
Micro
|
Regular
|
86.5
|
85.4
|
85.3
|
86.2
|
|
|
Full-time
|
82.0
|
82.2
|
78.1
|
81.3
|
|
|
Female
|
19.5
|
10.8
|
38.7
|
22.3
|
|
Small
|
Regular
|
79.0
|
46.2
|
84.7
|
78.0
|
|
|
Full-time
|
74.7
|
46.2
|
81.4
|
74.0
|
|
|
Female
|
33.6
|
8.0
|
47.7
|
33.7
|
|
Medium and large
|
Regular
|
81.9
|
73.4
|
81.7
|
79.8
|
|
|
Full-time
|
77.9
|
71.7
|
79.7
|
75.9
|
|
|
Female
|
43.1
|
44.9
|
52.7
|
41.6
|
|
Family business
|
Regular
|
85.5
|
79.2
|
87.0
|
85.3
|
|
|
Full-time
|
80.7
|
75.7
|
79.7
|
80.2
|
|
|
Female
|
25.1
|
7.9
|
42.1
|
26.5
|
|
Private firm
|
Regular
|
82.7
|
80.2
|
80.9
|
82.3
|
|
|
Full-time
|
79.4
|
79.2
|
75.3
|
78.8
|
|
|
Female
|
22.8
|
16.3
|
33.3
|
23.9
|
|
Partnership/cooperative
|
Regular
|
76.2
|
60.9
|
53.3
|
72.6
|
|
|
Full-time
|
66.1
|
60.9
|
50.0
|
64.0
|
|
|
Female
|
21.9
|
2.3
|
32.5
|
21.7
|
|
Joint venture/limited company
|
Regular
|
78.0
|
0.0
|
0.0
|
78.0
|
|
|
Full-time
|
70.9
|
0.0
|
0.0
|
70.9
|
|
|
Female
|
24.1
|
0.0
|
0.0
|
24.1
|
|
Urban
|
Regular
|
84.0
|
77.3
|
84.5
|
83.7
|
|
|
Full-time
|
79.8
|
73.8
|
77.7
|
79.3
|
|
|
Female
|
23.9
|
10.7
|
38.4
|
24.8
|
|
Rural
|
Regular
|
87.8
|
82.8
|
85.9
|
86.4
|
|
|
Full-time
|
81.6
|
81.2
|
79.2
|
80.7
|
|
|
Female
|
27.9
|
9.7
|
41.3
|
30.0
|
|
Observations
|
|
1,940
|
176
|
380
|
2,496
|
Note: Proportions for the sample and the population of enterprises.
Source: Authors’ calculations based on Myanmar MSME 2017 data.
Descriptive statistics of employee characteristics (percentages)
|
Employee's age
|
31.6
|
32.5
|
|
Owner's relative
|
20.5
|
17.6
|
|
Years of working experience
|
2.6
|
2.7
|
|
No education
|
8.0
|
7.8
|
|
Primary school
|
35.9
|
31.7
|
|
Middle school
|
25.1
|
34.5
|
|
High school
|
20.6
|
19.6
|
|
Vocational training
|
0.2
|
0.2
|
|
Diploma
|
0.1
|
0.2
|
|
Bachelor's
|
8.7
|
4.9
|
|
Master's
|
0.1
|
0.0
|
|
Other
|
1.2
|
1.1
|
|
Union member
|
0.8
|
0.6
|
|
Full-time employee
|
96.5
|
96.5
|
|
Hours worked per week
|
49.9
|
48.5
|
|
Urban area
|
83.6
|
85.9
|
|
Micro
|
26.6
|
73.4
|
|
Small
|
46.0
|
54.0
|
|
Medium and large
|
56.1
|
43.9
|
Source: Authors’ calculations based on Myanmar MSME 2017 data.
Descriptive statistics of firm characteristics (percentages)
|
Food
|
38.3
|
61.7
|
|
Beverages
|
45.7
|
54.3
|
|
Tobacco
|
77.2
|
22.8
|
|
Textiles
|
65.8
|
34.2
|
|
Apparel
|
85.9
|
14.1
|
|
Leather
|
12.7
|
87.3
|
|
Wood
|
7.9
|
92.1
|
|
Paper
|
18.2
|
81.8
|
|
Printing and recorded media
|
25.8
|
74.2
|
|
Coke and refined petroleum
|
35.7
|
64.3
|
|
Chemical products
|
42.6
|
57.4
|
|
Pharmaceuticals
|
70.0
|
30.0
|
|
Rubber and plastics
|
48.1
|
51.9
|
|
Non-metallic mineral products
|
24.4
|
75.6
|
|
Basic metals
|
9.5
|
90.5
|
|
Fabricated metal products
|
2.9
|
97.1
|
|
Electrical equipment
|
38.9
|
61.1
|
|
Machinery and equipment n.e.c. a
|
2.5
|
97.5
|
|
Motor vehicles etc.
|
0.0
|
100.0
|
|
Other transport equipment
|
5.6
|
94.4
|
|
Furniture
|
5.9
|
94.1
|
|
Other manufacturing
|
39.4
|
60.6
|
|
Repair and installation
|
33.3
|
66.7
|
Note:
a n.e.c. stands for ‘not elsewhere classified’.
Source: Authors’ calculations based on Myanmar MSME 2017 data.
