Sampling Methodology and Key Findings of the Garment Firm Survey
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operational. Labor productivity was also calculated using the total number of full-time, permanent production workers, yielding similar results. The average monthly wage (W) was computed as follows: W =
TOTWAGES ( n perm × 12) + ( n temp × months )
where TOTWAGES denotes the surveyed firm’s total wage bill (including benefits). The average monthly wage was also estimated including only new full-time production workers with no previous experience (including and excluding benefits). The results were similar. Controls were added for a set of firm characteristics that might also influence productivity and wages, including the following: • total number of full-time permanent workers employed in fiscal 2008/09; • percentage of full-time permanent workers classified as managers; • ownership structure of the firm (locally owned, joint venture with majority foreign ownership, joint venture with majority local ownership, 50 percent foreign owned, 100 percent foreign owned); • whether the factory was part of a group; • whether the firm exported to the United States or the European Union; • whether all the firm’s sales in fiscal 2008/09 came from knitwear; • whether all the firm’s sales in fiscal 2008/09 came from woven garments; • whether the firm operated one or more separate office buildings; • age of the factory. Tables B.7–B.9 present the summary statistics and regression results. Table B.7 Summary Statistics for Productivity, Wages, and Rent, fiscal 2008/09 Average monthly wage (Tk)
Variable
New New Total factor productivity Labor productivity All workers, workers, workers, Aggregated Disaggregated Production All including excluding including benefits benefits capital capital workers workers benefits
Rent (Tk)
All (n =1018) Mean
0.24
0.24
18,676
17,148
6,592
2,908
4,119
10
Median
0.20
0.20
14,973
13,709
5,720
3,000
4,000
8
Standard deviation
0.17
0.17
18,683
16,994
5,602
423
745
4
Coefficient of variation
0.71
0.73
1
1
1
0
0
0
Maximum
2.67
2.64
345,924
320,583
114,857
5,000
7,500
25
Minimum
0.04
0.04
3,163
2,830
51
1,600
2,000
3
Skew
6.96
6.89
10
10
12
0
1
1
79.40
76.86
136
141
200
7
4
5
Kurtosis
table continues next page Bangladesh • http://dx.doi.org/10.1596/978-0-8213-9859-3