Version 1
: Received: 3 October 2024 / Approved: 4 October 2024 / Online: 4 October 2024 (09:40:06 CEST)
How to cite:
MAQBOOL, N.; Newton, P.; Shah, T. Mapping Spatial Patterns of Child Labor in Sindh: Insights from Regression Analysis of MICS Data. Preprints2024, 2024100298. https://doi.org/10.20944/preprints202410.0298.v1
MAQBOOL, N.; Newton, P.; Shah, T. Mapping Spatial Patterns of Child Labor in Sindh: Insights from Regression Analysis of MICS Data. Preprints 2024, 2024100298. https://doi.org/10.20944/preprints202410.0298.v1
MAQBOOL, N.; Newton, P.; Shah, T. Mapping Spatial Patterns of Child Labor in Sindh: Insights from Regression Analysis of MICS Data. Preprints2024, 2024100298. https://doi.org/10.20944/preprints202410.0298.v1
APA Style
MAQBOOL, N., Newton, P., & Shah, T. (2024). Mapping Spatial Patterns of Child Labor in Sindh: Insights from Regression Analysis of MICS Data. Preprints. https://doi.org/10.20944/preprints202410.0298.v1
Chicago/Turabian Style
MAQBOOL, N., Paul Newton and Tayyab Shah. 2024 "Mapping Spatial Patterns of Child Labor in Sindh: Insights from Regression Analysis of MICS Data" Preprints. https://doi.org/10.20944/preprints202410.0298.v1
Abstract
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 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.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
