Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention
Child labor remains a predominant issue in Pakistan despite the country’s existing policies and frameworks aimed at abolishing it. Through this study, we investigated the child labor distribution across Sindh and examined the factors that shape the regional patterns. We analyzed the data available t...
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MDPI AG
2024-11-01
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| author | Nadia Maqbool Paul Newton Tayyab Shah |
| author_facet | Nadia Maqbool Paul Newton Tayyab Shah |
| author_sort | Nadia Maqbool |
| collection | DOAJ |
| description | Child labor remains a predominant issue in Pakistan despite the country’s existing policies and frameworks aimed at abolishing it. Through this study, we investigated the child labor distribution across Sindh and examined the factors that shape the regional patterns. We analyzed the data available through the 2018–19 Sindh Multiple Indicator Cluster Surveys, MICS 6, from 20,030 households with 40,633 children in the 5–17 age bracket. By applying prevalence statistics, chi-square tests, and regression modeling to these data, we investigated the trends in child labor prevalence, identified the correlation between child labor and various socioeconomic and geodemographic variables, and finally mapped the geospatial patterns of child labor across districts in Sindh, enabling us to identify and prioritize the districts in need of immediate intervention. The findings revealed that about 20 percent of the children in Sindh are engaged in child labor, with a high prevalence among males and in the 15–17 age bracket. Moreover, poverty and rural dwellings raise this issue. Other socioeconomic and geographic factors reinforcing this issue are a lack of education among children, mothers, or caretakers and mothers’ or caretakers’ functional difficulties. However, children’s functional difficulties lower their prevalence in labor. Among the 29 districts across Sindh, Kambar Shahdadkot has the highest prevalence of child labor. |
| format | Article |
| id | doaj-art-7b1933310fe447da8219c76fdccded19 |
| institution | DOAJ |
| issn | 2571-905X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Stats |
| spelling | doaj-art-7b1933310fe447da8219c76fdccded192025-08-20T02:56:58ZengMDPI AGStats2571-905X2024-11-01741437145310.3390/stats7040084Child Labor in Sindh, Pakistan: Patterns and Areas in Need of InterventionNadia Maqbool0Paul Newton1Tayyab Shah2Department of Educational Administration, College of Education, University of Saskatchewan, Saskatoon, SK S7N 0X1, CanadaDepartment of Educational Administration, College of Education, University of Saskatchewan, Saskatoon, SK S7N 0X1, CanadaCHASR, University of Saskatchewan, Saskatoon, SKS7N 5A4, CanadaChild labor remains a predominant issue in Pakistan despite the country’s existing policies and frameworks aimed at abolishing it. Through this study, we investigated the child labor distribution across Sindh and examined the factors that shape the regional patterns. We analyzed the data available through the 2018–19 Sindh Multiple Indicator Cluster Surveys, MICS 6, from 20,030 households with 40,633 children in the 5–17 age bracket. By applying prevalence statistics, chi-square tests, and regression modeling to these data, we investigated the trends in child labor prevalence, identified the correlation between child labor and various socioeconomic and geodemographic variables, and finally mapped the geospatial patterns of child labor across districts in Sindh, enabling us to identify and prioritize the districts in need of immediate intervention. The findings revealed that about 20 percent of the children in Sindh are engaged in child labor, with a high prevalence among males and in the 15–17 age bracket. Moreover, poverty and rural dwellings raise this issue. Other socioeconomic and geographic factors reinforcing this issue are a lack of education among children, mothers, or caretakers and mothers’ or caretakers’ functional difficulties. However, children’s functional difficulties lower their prevalence in labor. Among the 29 districts across Sindh, Kambar Shahdadkot has the highest prevalence of child labor.https://www.mdpi.com/2571-905X/7/4/84child laborlogistic regressiongeospatial mappingMICSspatial patternsSindh |
| spellingShingle | Nadia Maqbool Paul Newton Tayyab Shah Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention Stats child labor logistic regression geospatial mapping MICS spatial patterns Sindh |
| title | Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention |
| title_full | Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention |
| title_fullStr | Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention |
| title_full_unstemmed | Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention |
| title_short | Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention |
| title_sort | child labor in sindh pakistan patterns and areas in need of intervention |
| topic | child labor logistic regression geospatial mapping MICS spatial patterns Sindh |
| url | https://www.mdpi.com/2571-905X/7/4/84 |
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