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International Monetary Fund. Fiscal Affairs Dept.
The mission estimates that making substantial progress in critical SDG sectors in Uganda would require additional annual spending of about 18.4 percent of gross domestic product (GDP) by 2030. Relative to low-income developing countries (LIDCs), additional spending in Uganda is higher in the social sectors and lower in the infrastructure sectors (Figure). Overall, Uganda’s additional spending is above the median LIDC and similar to the median Sub-Saharan African (SSA) country. (This analysis is an assessment of the spending to achieve a high performance in selected SDGs in Uganda and does not include an examination of options to finance the spending needs.) • Health—expanding the supply of medical staff. Total health care spending is low (4.2 percent of GDP) relative to peers, and there is substantial room to increase the efficiency of spending: health outcomes are below those of several other countries with similar spending. Overall, we estimate that total health care spending would have to gradually increase by an additional 7.4 percent of GDP in 2030 relative to today’s spending, to deliver superior health care outcomes. A major contributor to the additional cost is the need to substantially increase the supply of doctors—more than 16-fold—and to nearly triple the number of other health personnel. • Education—strengthening both quality and quantity of services. Uganda’s young population—60 percent are school-aged, a higher share than in the East African Community (EAC) and LIDC peers—combined with a relatively low enrollment rate, means that the country needs to invest in getting its children into schools. However, just as important is improving the currently low level of educational quality. Toward this goal, class sizes need to fall by hiring more teachers, thus bringing the student-teacher ratio down from 28 to 19. Public spending, currently well below LIDC and EAC averages, would need to triple as a share of GDP to help deliver on these goals. We estimate that Uganda’s total expenditures on education would need to increase by an additional 6.7 percent of GDP from its current level of 7.1 percent of GDP. • Water and sanitation—aiming at safely managed water and sanitation for all. Uganda is below regional and income-group peers in water and sanitation standards. In particular, while there has been progress in water provision, sanitation services have hardly improved in the past two decades, and its provision is lower than most countries in the subregion. Closing the water and sanitation gaps will require an additional annual spending of 1.1 percent of GDP, including maintenance costs to counteract depreciation. The bulk of the cost burden comes from safely managed water in rural areas, given the relatively high unit cost of such facilities and the large rural population unserved by this type of facility. • Electricity—investing in transmission and distribution networks to increase access. The vast majority of Uganda’s electricity is generated by renewable energy (hydropower). Overall electricity consumption per capita, at 83kilowatt-hour (kWh), strongly lags LIDCs and is below what would be expected given its level of GDP per capita. Transmission and distribution networks need to catch up with installed capacity, which, at 1,347 megawatts (MW), is far ahead of peak demand at 793 MW. We estimate that expanding current access, serving the future population through 2030, and increasing consumption in line with economic growth, will require annual investments reaching 0.4 percent of GDP in 2030. • Roads—gradually increasing rural access. Raising access to roads from its current level of 53 percent of the rural population to 75 percent by 2030 will require about 20.4 thousand additional kilometers of all-weather roads. While rural road access is higher than LIDCs, road quality lags subregional peers, thus the expansion of access will also need to include upgrading of roads in that are in poor condition. We estimate that this will require annual investments of 2.8 percent of GDP in 2030.
Paola Giuliano
and
Antonio Spilimbergo
A growing body of work has shown that aggregate shocks affect the formation of preferences and beliefs. This article reviews evidence from sociology, social psychology, and economics to assess the relevance of aggregate shocks, whether the period in which they are experienced matters, and whether they alter preferences and beliefs permanently. We review the literature on recessions, inflation experiences, trade shocks, and aggregate non-economic shocks including migrations, wars, terrorist attacks, pandemics, and natural disasters. For each aggregate shock, we discuss the main empirical methodologies, their limitations, and their comparability across studies, outlining possible mechanisms whenever available. A few conclusions emerge consistently across the reviewed papers. First, aggregate shocks impact many preferences and beliefs, including political preferences, risk attitudes, and trust in institutions. Second, the effect of shocks experienced during young adulthood is stronger and longer lasting. Third, negative aggregate economic shocks generally move preferences and beliefs to the right of the political spectrum, while the effects of non-economic adverse shocks are more heterogeneous and depend on the context.
International Monetary Fund. African Dept.
This Selected Issues paper revisits Rwanda’s options to create fiscal space to meet long-term development challenges. It examines strategies and options for a credible and comprehensive domestic revenue mobilization. The paper analyzes the driving factors of past reform successes and use an original dataset to highlight the benefits of implementing comprehensive tax reforms over selective reforms. The paper concludes that selective measures tend to yield protracted loss of revenue while measures implemented comprehensively lead to increases in revenue in the medium term. This stresses the need for an integrated approach to fiscal policy reform coordination to maximize long-term revenue benefits. For Rwanda, a comprehensive strategy for increasing tax revenues by adjusting rates, broadening the domestic tax base, improving tax compliance, and curbing tax evasion is the way forward. The strategy should shift higher tax burden from low-income households to higher income wealth cohorts with the view to advancing distributional fairness against growing inequality.
Alain N. Kabundi
,
Mr. Montfort Mlachila
, and
Jiaxiong Yao
Climate change is likely to lead to more frequent and more severe supply and demand shocks that will present a challenge to monetary policy formulation. The main objective of the paper is to investigate how climate shocks affect consumer prices in a broad range of countries over a long period using local projection methods. It finds that the impact of climate shocks on inflation depends on the type and intensity of shocks, country income level, and monetary policy regime. Specifically, droughts tend to have the highest overall positive impact on inflation, reflecting rising food prices. Interestingly, floods tend to have a dampening impact on inflation, pointing to the predominance of demand shocks in this case. Over the long run, the dominant monetary policy paradigm of flexible inflation targeting faced with supply-induced climate shocks may become increasingly ineffective, especially in LIDCs. More research is needed to find viable alternative monetary policy frameworks.
Aly Abdou
,
Olivier Basdevant
,
Elizabeth David-Barrett
, and
Mihaly Fazekas
Public procurement can be highly vulnerable to corruption. This paper outlines a methodology and results in assessing corruption risks in public procurement and their impact on relative prices, using large databases on government contracts and tenders. Our primary contribution is to analyze how price differential in public procurement contracts can be explained by corruption risk factor (aggregated in a synthetic corruption risk index). While there are intrinsic limitations to our study (price differentials can come from structural reasons, such as a limited number of potential suppliers) it still provides a guiding tool to assess where corruption risks would have the biggest budgetary impact. Such analysis helps inform mitigating policies owing to the granular data used.