Agricultural Mechanisation And Child Labour In Developing Countries

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Agricultural mechanisation and child labour in developing countries

Author: Vos, Rob
language: en
Publisher: Intl Food Policy Res Inst
Release Date: 2021-12-30
Child labour in agriculture remains a global concern. Agriculture is the sector where most child labour is found. Employment of children mostly relates to farm household poverty in developing countries. This raises the question of the extent to which the modernisation of agriculture prevents the use of child labour while also leading to higher productivity. One of the central questions in this context is whether agricultural mechanisation helps limit children’s employment. Available studies have put forward opposing hypotheses, but rigorous empirical evidence is scant. The present study aims to fill some of this void by studying the evidence from comparable farm household survey data in seven developing countries, including three in Asia (India, Nepal, and Vietnam) and four in sub-Saharan Africa (Ethiopia, Ghana, Nigeria, and Tanzania). Various key findings emerge. First, many children are found to engage in productive activities in studied countries. The prevalence is particularly high in African countries, such as in Ethiopia where more than one third of children aged 5-14 years engage in farm or off-farm work. Second, while the prevalence of child labour in agriculture (i.e., when productive engagement is detrimental to schooling and child growth) is much lower (at 10% or less in seven countries), they are still sizable in absolute terms; at least 6 million children in these countries partake in agricultural work at the expense of opportunities in adulthood. Third, agricultural mechanization, reflected in farm household’s use of machinery such as tractors, significantly reduces the likelihood of use of children’s labour and increases school attendance. Fourth, the measured impacts of mechanization are only modest, however, and likely indirect, that is, dependent on the extent to which mechanization helps improve household income and on local conditions (such as quality of rural infrastructure and accessibility of education and other social services). Overall, promotion of agricultural mechanization can help prevent use of child labour. To be truly impactful, however, related support measures should be embedded in broader strategies to enable agricultural productivity growth and improve livelihoods of poor rural households.
Agricultural mechanization and child labour in developing countries

Author: Takeshima, H., Vos, R.
language: en
Publisher: Food & Agriculture Org.
Release Date: 2022-03-01
The FAO-IFPRI study, focuses on the use of tractors because they are among the most versatile farm mechanization tools and are universal power sources for all other driven implements and equipment in agriculture, with significant potential to replace animal draught power and human power, including children’s muscle power. Tractor use is typically also the first type of machine-powered equipment in use at lower levels of agricultural development, the context where most child labour is found. Mechanization is mostly assumed to reduce child labour, as it is expected to be labour saving in general. Yet, this is not always the case, as it has also been observed that the use of tractors and other machinery could increase children’s engagement in farm activities. This may be the case if, for instance, their use allows farms to cultivate larger areas, or if it leads to shifting chores of work from hired labor to family workers, e.g. for weeding edges of farmland not reachable by machinery. Evidence has been scant thus far, but the few available studies have mostly lent greater support to the hypothesis that mechanization reduces children’s productive engagement. Most available studies have focused on specific cases and based on scant data. The new FAO-IFPRI study provides a rigorous quantitative assessment for seven developing countries in Asia (India, Nepal and Viet Nam) and sub-Saharan Africa (Ethiopia, Ghana, Nigeria and Tanzania) based on comparable farm household survey data.