Our new assessment of national funding for women’s economic empowerment (WEE) in Uganda has highlighted an increase in resources allocated to gender and equity programmes over the last five years (2015/16 – 2020/21). However, allocations for WEE remain generally low, the released funds are often less than what has been approved, and the utilised funds less than what has been released. The study, conducted by the Civil Society Budget Advocacy Group (CSBAG) and commissioned by Publish What You Fund, also found that a lack of disaggregated data means that the support targeted at women and girls is likely to be lower than the estimates suggest.
Our new study, conducted by Omar Asghar Khan Foundation and commissioned by Publish What You Fund, tracked funding for women’s economic empowerment in Pakistan. It identified 1,674 projects supported by the federal and provincial governments. These had a combined expenditure of Rs.132 billion.
Identifying the specific groups of women that funding has supported greatly helps us to identify gaps in funding. In this blog, we examine what the data tells us about the groups of women targeted by international funders in Bangladesh, Kenya and Nigeria.
Our newsletter features details of our newly released research tracking funding for women’s economic empowerment, our innovative approach to tracking climate finance, some reflections on the launch of the 2022 Aid Transparency Index, a chance to catch up on an event examining financing for unpaid care work, and details of our methodology for merging global aid data sets.
On 2 August, we launched our research on donor and government financing to address gender gaps in women’s economic empowerment, including unpaid care work and access to financial services, at a webinar hosted by the Center for Global Development. A panel of donor and civil society representatives reflected on these findings and discussed what future investments should look like.
Our women’s economic empowerment team wanted to include as many international funding flows as possible when analysing development assistance data. In this blog, Benjamin Honey explores the pros and cons of merging the two main data sources and describes the methodology we employed.