Other Poverty Study

2022-04, World Bank

This 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.

2021-02, World Bank

In 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.

2017-08, Nguyen, Nga Thi Viet, Dizon, Felipe F.

This report aims to assess the spatial disparities in economic development along four important dimensions: (i) It provides stylized facts of the underlying forces behind within-country inequality, namely natural endowment, agglomeration economies, and market access. These are the three building blocks of the economic geography literature; (ii) It examines spatial disparities in welfare and poverty. As the agricultural sector is a cornerstone of the economy in this sub-region, the report explores geographical differences in agricultural activity; (iii) It quantifies the roles of natural endowment, agglomeration economies, and market access in determining the spatial distribution of welfare and agricultural productivity; (iv) It suggests a number of policy guidelines that may help improve shared prosperity across space.

2022, World Bank

Sub-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.

2019-04-18, Swinkels, Rob, Norman, Therese, Blankespoor, Brian, Munditi, Nyasha, Zvirereh, Herbert

This 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.

2017-07-17, Katayama, Roy, Dabalen, Andrew, Nssah, Essama, Amouzou Agbe, Guy Morel

Cote d'Ivoire is the world’s leading cocoa producer, supplying nearly 40 percent of world cocoa production. Developments in the cocoa sector can have significant implications for poverty reduction and shared prosperity given that the sector is a source of livelihood for about one-fifth of the population, as well as an important source of export and government revenues. Cocoa pricing has always been a major focus of public policy in the country, and in 2011 the government initiated a new round of cocoa sector reforms seeking to stimulate cocoa production and to secure the livelihoods of cocoa farmers through guaranteed minimum farm-gate prices. Policymakers will certainly like to know the likely impacts of this price policy reform on household welfare and poverty. This paper uses a nonparametric approach to policy incidence analysis to estimate the first-order effects of this policy reform. To assess the pro-poorness of the reform in cocoa pricing, variations in poverty induced by the policy are compared to a benchmark case. While increasing the cocoa farm-gate price has a potential to reduce poverty among cocoa farmers, it turns out that the increase in 2015-2016 translates into a relatively small drop in overall poverty. This variation is assessed to be weakly pro-poor. It is likely that this poverty impact can be amplified by additional policy interventions designed to address the key constraints facing the rural economy such as productivity constraints stemming from factors such as lack of relevant research and development, weak extension services, poor transportation and storage infrastructure, and generally poor provision of relevant public goods. Addressing these issues require a coherent policy framework that can be effectively implemented by accountable institutions to increase the role of agriculture as an engine of inclusive growth in Cote d'Ivoire.

2021-05-18, World Bank

The 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)

2018-06-29, World Bank

Kenya 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.

2015-04-23, World Bank

This study discusses the impact of economic geography and (low) population density on development outcomes in Mali and explores how policies to reduce poverty can be made more effective by taking these two factors into account. The crisis in north Mali which started in 2012 and continues to date has brought questions of economic geography to the center of attention. To help answer such questions, and to analyze how to reduce poverty in Mali as a whole, this study uses different sources of information to analyze the diversity of livelihood patterns, in access to services and in living standards. The study uses quantitative information from household surveys, population and firm censuses, administrative and geographic data, and qualitative information about livelihoods. This study argues that the authorities will need to employ all three policy instruments, while emphasizing that if the objective is poverty reduction, most attention should be focused on spatially blind approaches. The study is organized as follows: chapter one gives introduction. Chapter two emphasizes differences in population density which allows distinguishing between types of agglomeration from villages, to rural town, to large cities. Chapter three categorizes the country into various livelihood zones and considers how the agro-physical environment affects the way people live. In chapter four authors turn to household welfare. Chapter five considers access to services. Chapter six is forward looking.