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PublicationSub-Saharan Africa - Macro Poverty Outlook: Country-by-Country Analysis and Projections for the Developing World, April 2022(Washington, DC, 2022-04) World BankThis edition of the Macro Poverty Outlooks periodical contains country-by-country forecasts and overviews for GDP, fiscal, debt and poverty indicators for the developing countries of the Sub-Saharan Africa region. Macroeconomic indicators such as population, gross domestic product and gross domestic product per capita - and where available – other indicators such as primary school enrollment, life expectancy at birth, total greenhouse gas emissions and inflation, among others, are included for each country. In addition to the World Bank’s most recent forecasts, key conditions and challenges, recent developments and outlook are briefly described for each country in the region. PublicationThe Effects of Fiscal Policy on Inequality and Poverty in The Gambia(World Bank, Washington, DC, 2022-01) Carrasco Nunez, Haydeeliz; Jawara, Hamidou; Meyer, MoritzThe overall objective of this study is to assess the impact of the fiscal system on poverty and inequality in The Gambia as of 2015. The study presents the first empirical evidence on the distributional impacts of taxes and social spending on households in The Gambia. Furthermore, it also evaluated the distributional effects of recent fiscal policy reforms in The Gambia. The assessment was based on the Commitment to Equity (CEQ) Methodology with data from the Integrated Household Survey of 2015 and fiscal administrative data from various government ministries, departments, and agencies. The analyses show that while the fiscal system in The Gambia reduces inequality by 1.2 Gini points, it increases the national poverty headcount by 5.3 percentage points as all households (including the poor) are net payers into the fiscal system. Most of the inequality reduction is due to primary education benefits, with a marginal contribution of 0.44 Gini points, and most of the poverty increase is due to custom duties and VAT with marginal contributions of -2.63 percentage points and -2.07 percentage points, respectively. Simulating the effect of changes in the structure of personal income tax (PIT) and the government’s ongoing absorption of the School Feeding Program indicate that these changes reduce inequality but do not offset the impoverishing effect of the fiscal system. Hence, more cashable transfer programs targeted to the poor are needed to offset the impoverishing effect of indirect taxes and make the fiscal system more pro-poor. PublicationSub-Saharan Africa Macro Poverty Outlook, Annual Meetings 2022: Country-by-country Analysis and Projections for the Developing World(Washington, DC, 2022) World BankSub-Saharan Africa Macro Poverty Outlook, Annual Meetings 2022 contains country-by-country forecasts and overviews for GDP, fiscal, debt and poverty indicators for the developing countries of Sub-Saharan Africa. Macroeconomic indicators such as population, gross domestic product and gross domestic product per capita - and where available – other indicators such as primary school enrollment, life expectancy at birth, total greenhouse gas emissions and inflation, among others, are included for each country. In addition to the World Bank’s most recent forecasts, key conditions and challenges, recent developments and outlook are briefly described for each country in the region. PublicationMonitoring Social and Economic Impacts of COVID-19 on Refugees in Uganda: Results from the High-Frequency Phone - Third Round(World Bank, Washington, DC, 2021-05-18) World BankThe High-Frequency Phone Survey for refugees in Uganda (URHFPS) tracked the socioeconomic impacts of the COVID-19 (coronavirus) crisis on refugees throughout three rounds. The World Bank (WB) in collaboration with the Uganda Bureau of Statistics (UBOS) and the United Nations High Commissioner for Refugees (UNHCR) launched and conducted the URHFPS. The URHFPS tracked the impacts of the pandemic between October 2020 and March 2021. Data collection for the first round of the URHFPS took place between October 22 – November 25, 2020, the second round took place between December 5-24, 2020, and the final and third round was conducted between February 8-March 14, 2021. This brief discusses the results from the third round. Where possible and appropriate, the results are compared across the three rounds and also benchmarked against Ugandans by using the national High-Frequency Phone Survey on COVID-19 (UHFPS). Detailed results for the first round are available in Atamanov et al. (2021a) and for the second round in Atamanov et al. (2021b) PublicationCOVID-19 Impact Monitoring: Uganda, Round 4-5(World Bank, Washington, DC, 2021-02) World BankIn June 2020, the Uganda Bureau of Statistics, with the support from the World Bank, has launched the High-Frequency Phone Survey on COVID-19 (coronavirus) to track the impacts of the pandemic on a monthly basis for a period of 12 months. The survey aimed to recontact the entire sample of households that had been interviewed during the Uganda National Panel Survey 2019/20 round and that had phone numbers for at least one household member or a reference individual. This report presents the findings from the fourth and fifth rounds of the survey that were conducted respectively between October 27th and November 17th, 2020 and February 2nd and February 21st, 2021. PublicationCOVID-19 Impact Monitoring: Nigeria, Round 4(World Bank, Washington, DC, 2020-08) National Bureau of Statistics; World BankThe COVID-19 pandemic and its economic and social effects on households have created an urgent need for timely data to help monitor and mitigate the social and economic impacts of the crisis and protect the welfare of Nigerian society. To monitor how the COVID-19 pandemic is affecting the economy and people of Nigeria and to inform policy interventions and responses, the National Bureau of Statistics with technical support from the World Bank implemented the Nigeria COVID-19 National Longitudinal Phone Survey (COVID-19 NLPS). The fourth round of this survey was conducted between August 9 and 24, 2020. PublicationMonitoring COVID-19 Impacts on Firms in Ethiopia, Report No. 2: Results from a High-Frequency Phone Survey of Firms(World Bank, Washington, DC, 2020-05-15) Abebe, Girum; Bundervoet, Tom; Wieser, ChristinaThe COVID-19 (coronavirus) pandemic and its negative economic effects create an urgent need for timely data and evidence to help monitor and mitigate the social and economic impacts of the crisis and protect the welfare of the least well-off in Ethiopia's society. To monitor the impacts of the COVID-19 (coronavirus) pandemic on Ethiopia's economy and people and inform interventions and policy responses, the World Bank Ethiopia team, in collaboration with the government, designed and implemented two high-frequency phone surveys, one with firms and one with households. PublicationHow Much Will Poverty Rise in Sub-Saharan Africa in 2020?(World Bank, Washington, DC, 2020-05) Montes, Jose; Silwal, Ani; Newhouse, David; Chen, Frances; Swindle, Rachel; Tian, SiweiThe ongoing coronavirus pandemic is expected to drastically slow 2020 GDP per capita growth in Sub-Saharan Africa (SSA) by about 5 percentage points compared to pre-pandemic forecasts. This note presents results from an analysis of a comprehensive database of surveys from 45 of 48 SSA countries to examine the effects of the project fall in growth on poverty in the region. An additional 26 million people in SSA, and as much as 58 million, may fall into extreme poverty defined by the international poverty line of 1.90 US Dollars per day in 2011 PPP. The poverty rate for SSA will likely increase more than two percentage points, setting back poverty reduction in the region by about 5 years. PublicationAnalysis of Spatial Patterns of Settlement, Internal Migration, and Welfare Inequality in Zimbabwe(World Bank, Washington, DC, 2019-04-18) Swinkels, Rob; Norman, Therese; Blankespoor, Brian; Munditi, Nyasha; Zvirereh, HerbertThis report aims to assess the spatial dimensions of settlement, internal migration, and welfare inequality in Zimbabwe, explore their relationship and implications, and identify policy options for addressing spatial disparities in social outcomes. It is exploratory in nature and identifies areas for further research to continue to unravel the drivers of the pattern that is observed. The study looks at where people are today (chapter 2), unpacks urbanization trends, and reviews population density and connectivity (chapter 3). Chapter 4 assesses the reasons behind the spatial settlement patterns and looks at Zimbabwe’s historical land allocation, land reform, and economic crisis in the 2000s. Chapter 5 discusses the consequences of this spatial distribution of the population in terms of poverty, nonfarm employment, and service delivery outcomes. Chapter 6 discusses policy implications. PublicationFiscal Incidence Analysis for Kenya: Using the Kenya Integrated Household Budget Survey 2015-16(World Bank, Washington, DC, 2018-06-29) World BankKenya has made satisfactory progress in reducing poverty and inequality in recent years. Economic growth in Kenya between 2005-06 and 2015-16 averaged around 5.3 percent, exceeding the average growth of 4.9 percent observed for Sub-Saharan Africa. This robust economic growth resulted in a reduction in poverty, whether measured by the national or international poverty line. The proportion of the population living beneath the national poverty line fell from 46.8 percent in 2005-06 to 36.1 percent in 2015-16, showing a modest improvement in the living standards of the Kenyan population. Similarly, poverty under the international poverty line of US$ 1.90 a day declined from 43.6 percent in 2005-06 to 35.6 percent in 2015-16. At this level, poverty in Kenya is below the average in sub-Saharan Africa and is amongst the lowest in the East African Community (World Bank, 2018b). However, the proportion of the population living in poverty remains comparatively high in Kenya and the rate at which growth translated into poverty reduction was lower than elsewhere. At twice the average, Kenya’s poverty rate is still high for a lower-middle income country, a group that Kenya joined only in 2015. In addition, the Kenya’s growth elasticity of poverty reduction, the percentage reduction in the poverty rate associated with a one-percent increase in mean per capita income is only 0.57, lower than in Tanzania, Ghana, or Uganda (World Bank, 2018b). This leads to the obvious question of what can be done to make economic growth more pro-poor in Kenya. This study assesses the distributional consequences of Kenya’s system of taxes and transfers, covering 60 percent of revenue and between 25 and 30 percent of government spending. The analysis of fiscal incidence and distributional consequences of Kenya’s tax and transfer system is an important input for designing pro-poor policies and potentially for influencing the rate at which economic growth translates into poverty reduction. In this study, direct taxes and transfers, indirect taxes (VAT and excise duties), as well as public health and education spending are assessed in terms of their distributional impacts. Overall, these taxes and transfers account for about 60 percent of revenue and between 25 and 30 percent of government spending.