The Working Papers are the foundation of the Centre's research output, underpinning many of the Centre's other publications. These high quality research papers are aimed at an academic and well-informed audience, contributing to ongoing discussion on a wide range of child-related issues. More than 100 Working Papers have been published to date, with recent and forthcoming papers covering the full range of the Centre's agenda. The Working Papers series incorporates the earlier series of Innocenti Occasional Papers (with sub-series), also available for download.
Child Poverty in Mozambique – Multiple Overlapping Deprivation Analysis
Ferrone, Lucia; Rossi, Andrea; Bruckauf, Zlata (2019). Child Poverty in Mozambique – Multiple Overlapping Deprivation Analysis, no. 2019-03, UNICEF Office of Research - Innocenti, Florence
In this paper, we provide estimates and analysis of child multidimensional poverty in Mozambique. Drawing on data from the Mozambique Household Budget Survey of 2014/15 (IOF), we define child multidimensional poverty using the Multiple Overlapping Analysis (MODA). We define three age groups of children, and a total of seven dimensions of deprivation: Family, Nutrition, Education, Child labour, Health, WASH, Participation, and Housing. Results show that 81 per cent of children are deprived in at least two dimensions. Children are especially vulnerable in rural areas, where deprivation rates reach 95 per cent, and in the provinces of Niassa, Zambezia, and Cabo Delgado. The dimensions that more frequently overlap in Mozambique are Housing, Health, and WASH, with one third of children being deprived in these three dimensions at the same time. The data also allow the analysis of the interplay between monetary and multidimensional child poverty: 46 per cent of
children suffer both forms of poverty. Children who are poor and deprived are children who live in rural areas, in more remote provinces; they live in households whose heads are less educated and
whose main activity is agriculture. Finally, there is a direct correlation with shocks affecting the household and multidimensional poverty, with children of families who experienced weather shocks
being more likely to be poor, deprived, or both.
This paper develops an econometric strategy to operationalize the United Nations Children’s Fund (UNICEF’s) conceptual framework for nutrition, estimating the effects on child stunting that additional investments in water, sanitation, and hygiene (WASH) intervention packages have across population groups (poor and non-poor) and residence (urban and rural). Moving away from estimating single intervention marginal returns, the empirical framework is tested in Tunisia; a country with notable but uneven progress in child nutrition. A successful reduction of stunting will involve mapping the distinctive most effective intervention packages by residence and socioeconomic status, moving away from universal policies.
The rise of social protection into the limelight of social policy has opened up space for understanding how it can act as a key interface between states and citizens. This paper rethinks social protection through the lens of citizenship. It considers how the design and implementation of social protection can be shifted away from discretionary and technocratic forms, to forms which stimulate vulnerable citizens to make justice-based claims for their rights and demand accountability for the realization of those rights. It puts forward a conceptual framework for social protection with three modalities through which citizens can be engaged: as shapers and makers; as users and choosers; and as passive consumers.
Rachel Sabates-Wheeler; Abdul-Gafaru Abdulai; Nikhil Wilmink; Richard de Groot; Tayllor Spadafora
The broad-ranging benefits of cash transfers are now widely recognized. However, the evidence base highlights that they often fall short in achieving longer-term and second-order impacts related to nutrition, learning outcomes and morbidity. In recognition of these limitations, several ‘cash plus’ initiatives have been introduced, whereby cash transfers are combined with one or more types of complementary support. This paper aims to identify key factors for successful implementation of these increasingly popular ‘cash plus’ programmes, based on (i) a review of the emerging evidence base of ‘cash plus’ interventions and (ii) an examination of three case studies, namely, Chile Solidario in Chile, IN-SCT in Ethiopia and LEAP in Ghana. The analysis was guided by a conceptual framework proposing a menu of ‘cash plus’ components. The assessment of three case studies indicated that effective implementation of ‘cash plus’ components has indeed contributed to greater impacts of the respective programmes. Such initiatives have thereby addressed some of the non-financial and structural barriers that poor people face and have reinforced the positive effects of cash transfer programmes. In design of such programmes, further attention should be paid to the constraints faced by the most vulnerable and how such constraints can be overcome. We conclude with recommendations regarding the provision of complementary support and cross-sectoral linkages based on lessons learned from the case studies. More research is still needed on the impact of the many variations of ‘cash plus’ programming, including evidence on the comparative roles of individual ‘plus’ components, as well as the knowledge, attitudes and behaviour pathways which influence these impacts.
Keetie Roelen; Stephen Devereux; Abdul-Gafaru Abdulai; Bruno Martorano; Tia Palermo; Luigi Peter Ragno
In an era of increasing dependence on data science and big data, the voices of one set of major stakeholders – the world’s children and those who advocate on their behalf – have been largely absent. A
recent paper estimates one in three global internet users is a child, yet there has been little rigorous debate or understanding of how to adapt traditional, offline ethical standards for research involving data collection from children, to a big data, online environment (Livingstone et al., 2015). This paper argues that due to the potential for severe, long-lasting and differential impacts on children, child rights need to be firmly integrated onto the agendas of global debates about ethics and data science. The authors outline their rationale for a greater focus on child rights and ethics in data science and suggest steps to move forward, focusing on the various actors within the data chain including data generators, collectors, analysts and end-users. It concludes by calling for a much stronger appreciation of the links between child rights, ethics and data science disciplines and for enhanced discourse between stakeholders in the data chain, and those responsible for upholding the rights of children, globally.
The new Sustainable Development Goals (SDGs) and the 2030 Agenda for Sustainable Development aim to build on the achievements made under the UN Millennium Development Goals (MDGs) by broadening their scope and building upon a consultative process. The MDGs contributed to substantial social progress in eight key areas: poverty; education; gender equality; child mortality; maternal health; disease; the environment; and global partnership. The SDGs not only include a greater number of development goals than the MDGs, but are also global in focus, including advanced economies for the first time. This paper draws attention to the main challenges the 2030 Agenda presents for rich countries, by highlighting a set of critical child specific indicators, evaluating countries’ progress towards meeting the Goals, and highlighting gaps in existing data. The paper will inform UNICEFs Report Card 14, Building the Future: Children and the Sustainable Development Goals in Rich Countries.
Target 2.1 of the Sustainable Development Goals calls for an end to hunger, in all its forms, by 2030. Measuring food security among children under age 5, who represent a quarter of the world’s population, remains a challenge that is largely unfeasible for current global monitoring systems. The SDG framework has agreed to use the Food Insecurity Experience Scale (FIES) to measure moderate and severe food insecurity. The FIES is an experience-based metric that reports food-related behaviours on the inability to access food due to resource constraints. We present the first global estimates of the share and number of children below age 15, who live with a respondent who is food insecure.
In this paper we summarize evidence on six perceptions associated with cash transfer programming, using eight rigorous evaluations conducted on large-scale government unconditional cash transfers in sub-Saharan Africa, under the Transfer Project. Specifically, we investigate if transfers: 1) induce higher spending on alcohol or tobacco; 2) are fully consumed (rather than invested); 3) create dependency (reduce participation in productive activities); 4) increase fertility; 5) lead to negative community-level economic impacts (including price distortion and inflation), and 6) are fiscally unsustainable. We present evidence refuting each claim, leading to the conclusion that these perceptions – insofar as they are utilized in policy debates – undercut potential improvements in well-being and livelihood strengthening among the poor, which these programmes can bring about in sub-Saharan Africa, and globally. We conclude by underscoring outstanding research gaps and policy implications for the continued expansion of unconditional cash transfers in the region and beyond.
The 2030 Agenda for Sustainable Development was agreed upon globally through a long political process. By ratifying its Declaration, high-income countries became accountable participants in the development process while retaining their obligations as donors. Although few of the 17 Sustainable Development Goals (SDGs) are explicitly child-focused, children are mentioned in many of the 167
targets. Drawing on a well recognized socio-ecological model (SEM) of child development and a life course perspective, this paper proposes an analytical framework to help navigate through the SDG
targets based on their relevance to child well-being. The application of this framework in thinking through policy options illustrates the interdependence of SDGs and their targets within a sector
(vertically) and across the 17 Goals (horizontally). A five-step process for choosing measurable SDG indicators links the proposed analytical framework with the challenges of SDG monitoring. The paper
contributes to debates on the implications of the SDGs for children by facilitating their adaptation to the national context through a ‘child lens’. The proposed analytical approach helps to articulate
a context-specific theory of change with a focus on human development outcomes, so that public investments inspired by the SDGs bring tangible results for children.
The new universal Sustainable Development Goals (SDGs) call for “reducing at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitions” by 2030.
Childhood malnutrition remains a significant global health concern. In order to implement
effective policies to address the issue, it is crucial to first understand the mechanisms underlying
malnutrition. This paper uses a unique dataset from Northern Ghana to explain the underlying causes of
childhood malnutrition. It adopts an empirical framework to model inputs in the production of health and
nutrition, as a function of child, household and community characteristics. The findings suggest that child
characteristics are important in explaining inputs and nutritional outcomes, and that maternal agency and
health contribute to improved health status. Household resources in the form of consumption are
positively associated with food intake and nutritional outcomes. Simulations show that income growth,
improving maternal care and avoiding sudden price shocks have a positive but rather limited effect on the
reduction of malnutrition. Effects are greater in children under two. Hence, policies that address underlying
determinants simultaneously, and target the youngest population of children, could have the largest effect
on reducing malnutrition in this population.
Richard de Groot; Sudhanshu Handa; Luigi Peter Ragno; Tayllor Spadafora