Case Studies on Leaving No One Behind
A companion volume to the Development Co-operation Report 2018
These case studies complement the 2018 Development Co-operation Report: Joining forces to leave no one behind. Case study contributors share knowledge and lessons on what it takes to answer the pledge of the 2030 Agenda for Sustainable Development to leave no one behind through national and sub-national policies, strategies and programmes as well as international development co-operation projects, programmes and partnerships. The insights, good practices and lessons shared in these case studies were provided by diverse actors. These include official development co-operation ministries and agencies from members of the OECD and the Development Assistance Committee, international organisations, developing country governments, civil society organisations, business, and research bodies.
The case studies highlight experiences from projects and programmes in leaving no one behind and reaching the furthest behind. They are organised and presented under two broad categories:
1. Reaching and including people and places;
2. The enabling role of international co-operation: policies, partnerships and data.
The Individual Deprivation Measure
Poverty data are incomplete. For example, despite increased recognition of the gender–poverty nexus within global development discourse, the conceptualisation and measurement of poverty remains insensitive to gender. The extensive evidence that speaks to the gendered nature of poverty is not yet reflected in global or comparable national data. UN Women’s Progress of the World’s Women 2015-2016 report noted that while “women’s socio-economic disadvantage is reflected in pervasive gender inequalities in earned income, property ownership, access to services and time use … [t]he absence of sex disaggregated data makes it difficult to establish if women are, across the board, more likely to live in poverty than men” (UN Women, 2015, p. 44[1]). It remains a challenge to turn evidence from the lived experience of individuals into the kind of information required at key decision-making tables, such as government budget committees. In allocating finite resources for greatest impact, decision makers require information that clearly captures and conveys: