2007年-世界发展银行全球_Child_Labor_Across_the_Developing_World___Patterns_and_Correlations_32页_430kb
报告摘要
2007 World Development Report: Child Labor Across the Developing World
Core Content
This document provides a comprehensive analysis of child labor and child economic activity across a large set of developing countries, using data from household sample surveys conducted between 1993 and 2003. The study aims to understand the patterns and correlations of child labor, particularly in relation to poverty and economic structure.
Main Findings
1. Child Economic Activity Rates
- The average child economic activity rate across 65 developing countries is 21.3%, meaning that about 1 in 5 children aged 7–14 are economically active.
- Africa (AFR) has the highest rate, with over 1 in 3 children working, while Latin America and the Caribbean (LAC) and Middle East and North Africa (MNA) have the lowest, with about 1 in 10 children working.
- There is significant variation within regions, with 37% of the variation in economic activity rates attributed to between-region differences, and 63% to within-region differences.
- Boys are more likely to be economically active than girls, with the economic activity rate for boys at 23.9% and for girls at 18.9%. This trend is consistent across most countries, with exceptions mainly in Africa.
2. Sectoral Distribution of Child Economic Activity
- The majority of working children are in agriculture (70%), followed by services (21%), and manufacturing (7%).
- This sectoral distribution is consistent across regions, with agriculture being the dominant sector in all countries.
- Boys are more likely to be employed in agriculture, while girls are more likely to be in services, though gender differences in sectoral distribution are not statistically significant.
3. Child Labor Rates
- The average child labor rate among 7–14 year olds is 12.4%, meaning that about 1 in 8 children are engaged in child labor.
- Africa has the highest child labor rate, with about 1 in 5 children involved in child labor.
- Child labor rates are lower in LAC and MNA, with about 1 in 16 children in these regions.
- Boys are more likely to be in child labor than girls, with a mean rate of 14.2% for boys and 10.6% for girls.
- The gap between child labor rates for boys and girls is more pronounced in Africa, where the ratio is 3:2.
4. Correlation Between Child Labor and School Attendance
- There is a strong negative correlation between child economic activity and school attendance.
- The mean school participation rate among economically active children is 61.1%, indicating that most are still in school.
- However, this overall rate conceals significant regional differences:
- MENA and SAR have the lowest school participation rates (34.4% and 41.1%, respectively).
- LAC and EAP have the highest (78.8% and 84.6%, respectively).
- In AFR, MENA, and SAR, boys have higher school participation rates than girls, while in EAP, ECA, and LAC, the opposite is true.
5. Child Labor and Poverty Correlation
- The study explores the relationship between child labor, agriculture, and poverty, a correlation that has not been directly investigated in the literature.
- Child labor is more prevalent in countries with a higher share of the agricultural sector, suggesting a link between economic structure and child labor.
- Poverty is likely a key driver of child labor, especially in agricultural economies.
6. Key Challenges in Measuring Child Labor
- There is no universally accepted definition of child labor, leading to methodological inconsistencies.
- The ILO definition is more stringent, considering weekly working hours and type of work.
- Domestic work within the household is often excluded from child labor statistics, potentially leading to undercounting of girls due to their higher involvement in such activities.
- Cross-sectional surveys are limited in capturing intermittent child labor, as they only reflect a one-week snapshot.
Conclusion
The study highlights the regional and gender disparities in child labor and economic activity, with Africa showing the highest rates. It emphasizes the negative impact of child labor on education and human capital development, and underscores the importance of economic structure and poverty in explaining child labor patterns. The findings suggest that child labor is more prevalent in agricultural economies and that girls are disproportionately affected due to the exclusion of household domestic work from official statistics. The document calls for more nuanced regional analysis and improved data collection methods to better understand and address child labor.
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