The coronavirus (COVID-19) crisis, which has hit financial systems across Africa, is likely to deteriorate banks’ balance sheets. The largest threat to banks pertains to their loan portfolios, since many borrowers have faced a sharp collapse in their income, and therefore have difficulty repaying their obligations as they come due. This could lead to a sharp increase in nonperforming loans (NPLs) in the short to medium term.
Ms. Stefania Fabrizio, Davide Furceri, Mr. Rodrigo Garcia-Verdu, Ms. Grace B Li, Mrs. Sandra V Lizarazo Ruiz, Ms. Marina Mendes Tavares, Mr. Futoshi Narita, and Adrian Peralta
Despite sustained economic growth and rapid poverty reductions, income inequality remains stubbornly high in many low-income developing countries. This pattern is a concern as high levels of inequality can impair the sustainability of growth and macroeconomic stability, thereby also limiting countries’ ability to reach the Sustainable Development Goals. This underscores the importance of understanding how policies aimed at boosting economic growth affect income inequality. Using empirical and modeling techniques, the note confirms that macro-structural policies aimed at raising growth payoffs in low-income developing countries can have important distributional consequences, with the impact dependent on both the design of reforms and on country-specific economic characteristics. While there is no one-size-fits-all recipe, the note explores how governments can address adverse distributional consequences of reforms by designing reform packages to make pro-growth policies also more inclusive.
The accuracy and reliability of government accounts and fiscal data is an issue in a number of countries, with significant and persistent discrepancies that can indicate underlying weaknesses in the country’s public financial management system. This note provides guidance on how to detect issues with data quality, perform integrity checks, and reconcile fiscal data from various sources. It discusses the importance of reconciliation to provide reasonable assurance on the quality and reliability of government fiscal data, explores the main reasons for which discrepancies may arise, and explains how to conduct quality checks. The note concludes with recommendations for country teams of concrete steps to ensure data quality.
This technical note describes need of conceptual design as a critical element of a government financial management information system project. Governments are increasingly turning to computerized financial management systems to help them respond to the demand for better information. This note describes the conceptual design for government financial management information systems (GFMIS), and explains why is it critical to the success of a GFMIS project. Key factors that influence the preparation of the conceptual design are discussed. The main stakeholders in the preparation of the conceptual design are also elaborated.