CHILD LABOR IDENTIFICATION
3
CHILD LABOR IDENTIFICATION
Differences Between Auditors : Gender and Experience
Figure 6 :
100
80
60
40
20
0
No ID available to verify the age
Most common reasons behind failing to corroborate suspected child labor cases
70 % 57 % 46 % 45 %
Factory did not cooperate
Auditor Factors
While the diverse incidences of child labor that auditors encountered in different countries may mostly be explained by their geographic location , we did also look at the differences between auditors themselves to see if internal factors might explain the divergence .
Auditors ’ Gender
Could not verify if the ID was real
Child / work er disappeared
17 %
Could not verify if the doctor ’ s statement was reliable
• Female auditors in China discovered significantly more child labor than the males
We discovered that in general , auditors ’ gender is associated with the number of child labor cases they discovered in the past two years . Figure 7 shows that female auditors generally discovered more child labor cases even when controlling for age and experience . When we looked at this difference by country though , we found that this result is only significant for China . We don ’ t have enough information to determine what might be the reasons behind such a disparity , but it is certainly an interesting phenomenon to look further
All
Bangladesh
India
Vietnam
China
into . When we asked some auditors for the possible differences in audit style between male and female auditors , some said female auditors are typically more “ detail oriented ” and “ spend more time on each audits than their male counterparts ”. Current data , however , is not sufficient to prove such an assumption .
Figure 7 :
2.5
2.0
1.5
1.0
0.5
0.0
1.5
Male
0.9
2.5
Female
1.1
Average CL Cases for China
Auditors ’ Experience
2.0
1.5
1.0
0.5
0.0 Trained
Untrained
Average CL Cases for Other Countries
• Years of experience in auditing is positively correlated with the number of child labor cases auditors discovered in the past two years
When controlling for age , the auditors ’ work experience had a significant positive correlation with the number of child labor cases they discovered in the past two years ( Figure 8 ). The more experienced the auditors are , the more likely they are to discover child labor . When we hold the years of experience constant , auditors ’ age did not seem to be associated with the number of child labor cases they discovered .
1.9
1.4
2.0
0.7
7 Best Response : Auditors ’ Insights on Child Labor in Asia