The productive use of electricity is essential for poverty reduction in newly electrified rural
communities as well as for the financial sustainability of electricity suppliers. Because men and …

This paper explores how development banks should deploy appropriate financial instruments
to encourage real economic risk-taking while minimizing financial engineering risks. We …

Convolutional Neural Networks (CNNs) are extensively used in a wide range of applications,
commonly including computer vision tasks like image and video classification, recognition …

The shock of COVID-19 has continued to reverberate through food systems across Sub-Saharan
Africa following its arrival in the region in early 2020. The socio-economic impact of the …

While it is widely accepted that Africa is experiencing a youth employment crisis, the nature
of the crisis is disputed. In relation to rural youth, the crisis is variously framed in term so …

Many low-income countries are increasingly digitising various tax services, usually motivated
by efforts to increase efficiency and transparency and reduce the burden of compliance for …

We investigate the relationship between the corporate income tax burden and firm size in
South Africa using a panel dataset from companies’ tax returns. We find that medium-sized …

I evaluate the impact of the Banco Nacional de Desenvolvimento Econômico e Social (BNDES)
disbursements on R&D intensity of companies operating in the Brazilian manufacturing …

We conduct a review of different support measures adopted by 59 countries as an immediate
response to the COVID-19 pandemic using an inclusive development lens across five key …

Deep learning and Convolutional Neural Networks (CNNs) in particular, are currently one of
the most promising and widely used classes of algorithms in the field of artificial intelligence…