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Felix F. Simione
and
Tara S Muehlschlegel
Will mobile money render cash less dominant over time in Africa? Can it promote financial inclusion? We shed light on these questions by exploring individual-level and nationally representative survey data for Uganda, a country in a region that pioneered mobile money in the world. We use the Propensity Score Matching method to robustly compare mobile money users and non-users across a range of indicators that capture individuals’ perceptions about cash, and the extent to which they remit, save, and borrow money. We present the first evidence that mobile money users, compared to non-users, are more likely to perceive cash as risky and less likely to prefer carrying large amounts of cash. We also confirm that mobile money users are more likely to receive and send remittances, save, and borrow. They also save and borrow larger amounts.
International Monetary Fund. African Dept.
This Selected Issues paper presents stylized facts about food insecurity in Nigeria, investigates its drivers in a cross-country setting, and assesses the role of policies. The paper describes regional aspects of Nigeria’s food insecurity and compares the impact of coronavirus disease 2019 and the war in Ukraine on food security in Nigeria and other countries. It also provides an overview of agricultural production and consumption in Nigeria. The paper investigates the drivers of food security using an empirical cross-country framework including demand, supply, and price factors, and offers thoughts on policies to improve agricultural yields and production. The important role of inputs is evident in the policy experience of comparator countries. Nigeria has achieved a substantial increase in agricultural production associated with its policies but some have been less successful. Import dependency for key staples has not fallen and the cost of these agricultural products remains driven by international prices. Further, central bank credit to the agricultural sector has not succeeded in increasing production beyond the stimulus of high rainfall and high food prices.
Brandon Buell
,
Reda Cherif
,
Carissa Chen
,
Jiawen Tang
, and
Nils Wendt
The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts for coordinated policy responses. This paper presents a suite of high frequency and granular country-level indicator tools that can be used to nowcast GDP and track changes in economic activity for countries in SSA. We make two main contributions: (1) demonstration of the predictive power of alternative data variables such as Google search trends and mobile payments, and (2) implementation of two types of modelling methodologies, machine learning and parametric factor models, that have flexibility to incorporate mixed-frequency data variables. We present nowcast results for 2019Q4 and 2020Q1 GDP for Kenya, Nigeria, South Africa, Uganda, and Ghana, and argue that our factor model methodology can be generalized to nowcast and forecast GDP for other SSA countries with limited data availability and shorter timeframes.
Ms. Corinne C Delechat
,
Lama Kiyasseh
,
Ms. Margaux MacDonald
, and
Rui Xu
This study analyzes the drivers of the use of formal vs. informal financial services in emerging and developing countries using the 2017 Global FINDEX data. In particular, we investigate whether individuals’ choice of financial services correlates with macro-financial and macro-structural policies and conditions, in addition to individual and country characteristics. We start our analysis on middle and low-income countries, and then zoom in on sub-Saharan Africa, currently the region that most relies on informal financial services, and which has the largest uptake of mobile banking. We find robust evidence of an association between macroprudential policies and individuals’ choice of financial access after controlling for personal and country-level characteristics. In particular, macroprudential policies aimed at controlling credit supply seem to be associated with greater resort to informal financial services compared with formal, bank-based access. This highlights the importance for central bankers and financial sector regulators to consider the potential spillovers of monetary policy and financial stability measures on financial inclusion.
International Monetary Fund. African Dept.

Abstract

Sub-Saharan Africa is facing an unprecedented health and economic crisis that threatens to throw the region off its stride, reversing the encouraging development progress of recent years. Furthermore, by exacting a heavy human toll, upending livelihoods, and damaging business and government balance sheets, the crisis threatens to retard the region’s growth prospects in the years to come. Previous crises tended to impact affect countries in the region differentially, but no country will be spared this time.

The Spring-Summer 2019 issue of the IMF Research Perspectives explores how technology deals with old questions. Articles discuss the ways technological progress and the increased availability of data have helped in some areas, while presenting new challenges for analyzing various matters. The issue also includes an interview with Gita Gopinath, the new director of the IMF Research Department.
International Monetary Fund. African Dept.
This Selected Issues paper analyzes the financial sector in Tanzania. The Tanzanian financial system has a number of characteristics commonly seen in other low-income countries. The system is relatively small, dominated by banks, and has not been particularly inclusive. Costs related to basic financial services have come down. However, in other areas, progress remains limited. Firms’ access to credit remains a problem, access to the financial infrastructure continues to lag, and market development remains at a low level. The banking system overall is well-capitalized and reasonably profitable, but there is considerable variation among bank categories.