Mozambique Poverty Assessment, June 2023 Poverty Reduction Setback in Times of Compounding Shocks
It also models poverty and distributional impacts of climate change shocks and presents findings on climate change literacy in Mozambique. Finally, chapter 6 discusses a variety of policy implications
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| Format: | eBook |
| Language: | English |
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Washington, D.C
The World Bank
2023
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| Series: | Poverty Assessment
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| Collection: | World Bank E-Library Archive - Collection details see MPG.ReNa |
| Summary: | It also models poverty and distributional impacts of climate change shocks and presents findings on climate change literacy in Mozambique. Finally, chapter 6 discusses a variety of policy implications This chapter also looks at the regional distribution of poverty, the impact of the pandemic, multidimensional poverty, the profile of the poor, changes in the responsiveness of poverty to growth, discusses trends in non-monetary dimensions of wellbeing, and simulates future poverty trends. Chapter 2 examines the distribution of growth and inequality reduction over the period, the pandemic's impact, discusses the growth-poverty-inequality relationship, assesses the spatial dimensions of poverty, and estimates the Human Opportunity Index for Mozambique. Chapter 3 focuses on labor markets and provides insights into labor force participation, unemployment, underemployment, employment sectors, child labor, and labor market demand conditions. Chapter 4 presents a fiscal incidence analysis and information on transfers. Chapter 5 examines the relevance of environmental shocks, assesses the impact of weather events on agricultural production and night-time light radiance in urban areas. This report relies on several data sources. The main source providing the poverty, inequality and labor figures herein is the 2019/20 Household Budget Survey (Inquerito sobre Orcamento Familiar, IOF2019/2020) conducted by the National Statistical Institute (Instituto Nacional de Estatistica, INE) starting in November 2019 and spanning 13 months. The survey's sample was drawn from the 2017 Census and allows for poverty figures to be representative at national and provincial as well as rural and urban levels. The fieldwork included data collection from 13,297 households interviewed across four quarters as in previous surveys, to account for seasonality effects like the impact on households' consumption of relatively more abundant post-harvest periods. The starting point for the analysis is chapter 1, which synthesizes progress in reducing poverty between 2014-15 and 2019-20. |
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