The current world population is the youngest it has ever been with 1.8 billion people in the
10–24 age group. The figures have spurred enthusiasm about the potential demographic dividend
that will possibly accelerate economic growth. However, almost 43% of the global youth labour
workforce is either unemployed or working but still living in poverty, which means there may not
be a demographic dividend. This realisation has driven interventions that seek to get large
numbers of youth into formal employment or become productive citizens in other ways. At the same
time, large youth populations are presented as a ‘ticking time bomb’. Un/underemployed youth are
considered a major security risk, especially in urban areas, and more recently, unemployed and
disaffected youth have become associated with youth recruitment to extremist groups. It is thus
not surprising that youth employment interventions have gained immense popularity in the last
two decades and that they are needed to serve economic as well as security
purposes, such as countering violent extremism.
Only a few studies of youth employment programmes disaggregate the findings by gender and these find that interventions do not help women to overcome social barriers to entering the labour force. Women generally derive less benefit from youth employment programmes than men. Female entrepreneurs benefit more from programmes which combine training with finance. The evidence base on the impact of youth employment programmes is limited relative to the number of programmes which have been implemented.
Much of the evidence from developing countries comes from Latin America and there are few
rigorous assessments of programmes in
sub-Saharan Africa. Many interventions are not assessed using rigorous experimental design
methodologies which are necessary to demonstrate impact. There is a lack of reliable information
on the types of interventions which have been tried and the effectiveness of the programmes
which were implemented.
The review found considerable literature on the working conditions of tea workers, but little on the wider context of their position in society, attention to the plight of tea workers in policy-making, or the macro-economic and political pressures to sustain modern slavery in Bangladesh’s tea gardens.
Women suffer particularly in the tea sector in Bangladesh. The majority of tea pickers – who spend over eight hours each day picking leaves – are women. Typical men’s jobs include working in factories, as supervisors and as security guards. The review found nothing specifically about persons with disabilities in the tea industry in Bangladesh.
]]>Various evaluations highlight the need for information campaigns to target specific groups and advocate action rather than simply raising awareness. They also call for protection measures to be targeted, and linked to interventions in health, education, social protection and livelihoods. A number of evaluations suggest that legislation banning trafficking, child labour, etc. can be counterproductive: more stress should be put on improving labour and working conditions.
Modern slavery is very broad-ranging in scope, covering forced and bonded labour, child labour, sex trafficking, human trafficking and so on. Rather than considering interventions under each type of modern slavery, this review categorises interventions into the following:
Some programmes are cross-cutting, with interventions focused on two or more categories (of prevention, protection and prosecution). Findings from such cross-cutting programmes are given under the most appropriate category.
]]>Many will have experienced physical violence, psychological abuse and even sexual abuse. The conditions they suffer from can include anxiety, depression, post-traumatic stress disorder, sexually transmitted infections, unwanted pregnancies and abortions, physical ill-health and malnourishment.
Mental health issues are particularly significant, especially in children. ‘Even if the physical wounds have been healed, it is still a long process to help the victims regain their dignity and the confidence to make choices and move forward with their lives. It is therefore crucial …to ensure that the rights, needs and requests of the victims are recognised’ (Sun-Suon, nd: 26). In the absence of suitable support, victims are at heightened risk of becoming slaves again/being re-trafficked (University of Liverpool, 2017).
This review drew on a mixture of academic and grey literature. Significant information was found on provision of services (or lack of it) to survivors of modern slavery in the UK (as well as some other developed countries), but far less on developing countries. Some of the literature made specific reference to the needs of women, but much was gender-blind or focused on the needs of men. Nothing was found from the perspective of persons with disabilities.
]]>It is difficult to make estimates on the number of children working in mines due to a lack of clear data on the topic and the lack of uniformed definitions on what constitutes child labour. Moreover, ASM is by definition informal and often illegal, thus practitioners operate in secret making research difficult. However, the International Labour Organisation (ILO) estimates that there are more than one million children working in ASM, with the number increasing with the deagrarianisation of large areas in Africa and Asia.
The data on supply chains in ASM is limited and it is difficult to credibly assess when minerals involving child labour make it into Europe. Due to the informal and often illegal nature of ASM they have a longer, more complicated, supply chain where responsibility and traceability is lost along the way. However, there are a range of organisations – such as Fairtrade, Fairmined, OECD, and the Responsible Jewellery Council – that offer certification that guarantees that the entire supply chain is audited and free of elements such as child labour.
]]>There are more boys than girls in agricultural child labour, and both tend to start young, sometimes before 10 years old. Girls tend to combine agricultural and domestic duties, and their work is more invisible, while male adolescents are more likely to be in hazardous work in agriculture than their female peers. Children from poor households, ethnic minorities, migrants and families with HIV/AIDS or disabled members are particularly vulnerable to agricultural child labour.
Other drivers include agricultural dependency, social norms and a lack of higher returns to basic schooling. Almost 60 per cent of girls and boys (aged 5–17 years) in hazardous work are found in agriculture. Situations of heightened harm and danger include forced and trafficked child labour for agriculture as well as conflict and emergency situations. Nevertheless age-appropriate tasks can contribute to children’s well-being and development – in particular in rural contexts with a lack of returns to formal education, labour-intensive agricultural livelihoods and social acceptance of child labour.
]]>In the case of the Democratic Republic of the Congo, the Global Slavery Index (GSI) 2016 reports that the estimated number of people living in modern slavery is 873,100 (rank 9 of 167 countries). This amounts to an estimated proportion in slavery of 1.130 percent (rank 6 of 167 countries). These estimates of prevalence are derived from a 2010 survey, published in JAMA, focused on sexual violence and other human rights violations in the conflict-affected North and South Kivu provinces and in Ituri. Drawing from this representative sample, ratios were adjusted to other parts of the country to reflect lower levels of conflict, in addition to any other necessary adjustments (K.B., expert comments).
There are various DRC studies that seek not to determine prevalence but to find the existence and indication of the scale of modern slavery.
Studies in the eastern DRC have identified six types of slavery: forced labour, debt bondage, peonage, sex slavery, forced marriage, and the enslavement of children (Bale, 2013; Free the Slaves, 2013; Free the Slaves, 2011). There can be overlap in the experiences of slavery. Women, for example, may be subject to sex slavery and debt bondage, concurrently.
]]>The International Labour Organisation’s (ILO) and UNICEF conventions provide the main framework for definitions. This Helpdesk Report discusses the following questions: What different approaches exist to defining child labour in domestic work? What data is available regarding the numbers of children and households that are involved in domestic child labour? How does the prevalence of domestic child labour differ across countries? What approaches of data collection methods have been used and what are the data limitations?
a) children 5 to 11 years of age that during the week preceding the survey did at least one hour
of economic activity or at least 28 hours of domestic work, and;
b) children 12 to 14 years of age that during the week preceding the survey did at least 14
hours of economic activity or at least 42 hours of economic activity and domestic work combined
The ILO dominates the evidence base for research on child domestic workers with some research undertaken by interagency cooperation efforts such as UCW (which comprises of the ILO, UNICEF and the World Bank). For example, the definitions and approaches found in various papers and studies not undertaken by the ILO largely use the ILO’s definitions and its related conventions as a framework for their respective studies, and the most recent literature and statistics around child domestic labour are all ILO reports. Only the most recent reports and data will be referred to in this helpdesk report unless a significant trend was noted between data sets.
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