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  • Christiaensen, Luc  (10)
  • Newhouse, David  (6)
  • Energy Sector Management Assistance Program
  • Washington, D.C : The World Bank  (16)
  • Bielefeld : transcript
  • Poverty Reduction  (15)
  • Rural Development  (4)
  • 1
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    Improving Estimates of Mean Welfare and Uncertainty in Developing Countries (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (57 pages)
    Parallel Title: Erscheint auch als Merfeld, Joshua D Improving Estimates of Mean Welfare and Uncertainty in Developing Countries
    Keywords: Development Policy ; Geospacial Data ; Household Census Data ; Machine Learning ; Macroeconomics and Economic Growth ; Poverty Reduction ; Prediction of Poverty ; Prediction of Wealth ; Welfare
    Abstract: Reliable estimates of economic welfare for small areas are valuable inputs into the design and evaluation of development policies. This paper compares the accuracy of point estimates and confidence intervals for small area estimates of wealth and poverty derived from four different prediction methods: linear mixed models, Cubist regression, extreme gradient boosting, and boosted regression forests. The evaluation draws samples from unit-level household census data from four developing countries, combines them with publicly and globally available geospatial indicators to generate small area estimates, and evaluates these estimates against aggregates calculated using the full census. Predictions of wealth are evaluated in four countries and poverty in one. All three machine learning methods outperform the traditional linear mixed model, with extreme gradient boosting and boosted regression forests generally outperforming the other alternatives. The proposed residual bootstrap procedure reliably estimates confidence intervals for the machine learning estimators, with estimated coverage rates across simulations falling between 94 and 97 percent. These results demonstrate that predictions obtained using tree-based gradient boosting with a random effect block bootstrap generate more accurate point and uncertainty estimates than prevailing methods for generating small area welfare estimates
    DOI: 10.1596/1813-9450-10348
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  • 2
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    Jobs, Food and Greening : Exploring Implications of the Green Transition for Jobs in the Agri-food System (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Social Protection Study
    Keywords: Agri-Food Jobs ; Agricultural Pollution ; Agriculture Employment ; Employment and Unemployment ; Environment ; Food and Beverage Industry ; Food and Nutrition Policy ; Food Industry ; Food Industry Pollution ; Green Issues ; Green Transition Jobs ; Health, Nutrition and Population ; Industry ; Poverty Reduction ; Social Protections and Labor ; Youth Employment
    Abstract: The agri-food system (AFS) employs about one third of the global workforce and contributes about one third of global greenhouse gas (GHG) emissions. This together with its large exposure to the effects of climate change and environmental degradation makes what happens in AFS central to the green transition and its implications for jobs and the structural transformation. Microeconomic evidence suggests that the adoption of climate smart agricultural practices will increase labor requirements, at least in the short run and at lower levels of incomes, when its mechanization is still limited. Econometric macro-model-based simulations suggest however that especially substantial investment in climate friendly agricultural R and D as well as soil and water preserving practices and market integration will more than offset the negative effects of climate change and even accelerate the structural transformation, especially in Sub Saharan Africa. Overall, the findings underscore the tremendous potential of increasing agricultural and climate friendly R and D investment for brokering an environmentally sustainable structural transformation. Repurposing of agriculture's current USD 638 billion support package towards supporting more climate friendly practices, including to overcome the time lag between the moment of investment and the realization of the benefits, provides an important policy entry point
    DOI: 10.1596/39819
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  • 3
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    Malnourished but not Destitute : The Spatial Interplay between Nutrition and Poverty in Madagascar (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (24 pages)
    Parallel Title: Erscheint auch als Matekenya, Dunstan Malnourished but not Destitute: The Spatial Interplay between Nutrition and Poverty in Madagascar
    Keywords: Agriculture ; Development Patterns and Poverty ; Equity and Development ; Food Insecurity ; Food Security ; Hidden Hunger ; International Economics and Trade ; Malnutrition ; Poverty ; Poverty Reduction ; Small Area Estimation ; Sustainable Development Goals
    Abstract: Hidden hunger, or micronutrient deficiencies, is a serious public health issue affecting approximately 2 billion people worldwide. Identifying areas with high prevalence of hidden hunger is crucial for targeted interventions and effective resource allocation. However, conventional methods such as nutritional assessments and dietary surveys are expensive and time-consuming, rendering them unsustainable for developing countries. This study proposes an alternative approach to estimating the prevalence of hidden hunger at the commune level in Madagascar by combining data from the household budget survey and the Demographic and Health Survey. The study employs small area estimation techniques to borrow strength from the recent census and produce precise and accurate estimates at the lowest administrative level. The findings reveal that 17.9 percent of stunted children reside in non-poor households, highlighting the ineffectiveness of using poverty levels as a targeting tool for identifying stunted children. The findings also show that 21.3 percent of non-stunted children live in impoverished households, reinforcing Sen's argument that malnutrition is not solely a product of destitution. These findings emphasize the need for tailored food security interventions designed for specific geographical areas with clustered needs rather than employing uniform nutrition policies. The study concludes by outlining policies that are appropriate for addressing various categories of hidden hunger
    DOI: 10.1596/1813-9450-10627
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  • 4
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    Small Area Estimation of Poverty and Wealth using Geospatial Data : What have we Learned so Far? (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (30 pages)
    Parallel Title: Erscheint auch als Newhouse, David Small Area Estimation of Poverty and Wealth using Geospatial Data: What have we Learned so Far?
    Keywords: Cell Phone Data ; Convolutional Neural Networks ; Development Patterns and Poverty ; Geospacial Data ; Living Standards ; Poverty and Wealth Data Prediction ; Poverty Diagnostics ; Poverty Mapping ; Poverty Reduction ; Satellite Data ; Small Area Estimation
    Abstract: This paper offers a nontechnical review of selected applications that combine survey and geospatial data to generate small area estimates of wealth or poverty. Publicly available data from satellites and phones predicts poverty and wealth accurately across space, when evaluated against census data, and their use in model-based estimates improve the accuracy and efficiency of direct survey estimates. Although the evidence is scant, models based on interpretable features appear to predict at least as well as estimates derived from Convolutional Neural Networks. Estimates for sampled areas are significantly more accurate than those for non-sampled areas due to informative sampling. In general, estimates benefit from using geospatial data at the most disaggregated level possible. Tree-based machine learning methods appear to generate more accurate estimates than linear mixed models. Small area estimates using geospatial data can improve the design of social assistance programs, particularly when the existing targeting system is poorly designed
    DOI: 10.1596/1813-9450-10512
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  • 5
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    Rural Employment in Africa : Trends and Challenges (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Agriculture ; Employment and Unemployment ; Food Security ; Labor Markets ; Rural Development ; Rural Labor Markets ; Social Protections and Labor
    Abstract: Africa's rural population continues to expand rapidly and labor productivity in agriculture and many rural off farm activities remains low. This paper uses the lens of a dual economy and the associated patterns of agricultural, rural, and structural transformation to review the evolution of Africa's rural employment and its inclusiveness. Many African countries still find themselves in an early stage of the agricultural and rural transformation. Given smaller sectoral productivity gaps than commonly assumed, greater size effects and larger spillovers, investment in agriculture and the rural off-farm economy remains warranted to broker the transition to more and more productive rural employment. The key policy questions thus become how best to invest in the agri-food system (on and increasingly also off the farm) and how best to generate demand for nonagricultural goods and services which rural households can competitively produce. Informing these choices continues to present a major research agenda, with digitization, the imperative of greening and intra-African liberalization raising many unarticulated and undocumented opportunities and challenges
    DOI: 10.1596/37023
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  • 6
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    Towards a Just Coal Transition : Labor Market Challenges and People's Perspectives from Lower Silesia (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Climate Change Economics ; Climate Change Impacts ; Employment and Unemployment ; Environment ; Macroeconomics and Economic Growth ; Poverty Reduction ; Social Aspects of Climate Change ; Social Development ; Social Protections and Labor
    Abstract: Part of a three-region set of papers analyzing coal-related labor market challenges in Poland, this paper focuses on Lower Silesia. The findings call for a more territorial-oriented approach to brokering the coal transition, rather than a sectoral one. First, while the number of people directly and indirectly affected by coal mine closures in Lower Silesia (~5,500) is relatively small compared to the total regional labor force (lessthan1%), affected workers are heavily concentrated geographically. Second, workers in heavily affected municipalities have lower foundational (but better technical) skills than their regional and national counterparts, and already operate in lagging local economies. Third, while eager to work, discrete choice experiments about their job attribute preferences show that they are averse to both, commuting and relocating for work, even though less so than in Silesia and Wielkopolska, the two other regions. Together this suggests that there are important welfare and political economic benefits to adequate job creation locally. The paper further advances a data-driven viable-job-matching tool specifically tailored to the Polish labor market and illustrates how it could be used to assess the potential of local labor markets and future investments to absorb the coal-affected workers accounting for their skills profile, re/upskilling needs and job attribute preferences
    DOI: 10.1596/38090
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  • 7
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    Towards a Just Coal Transition Labor Market Challenges and People's Perspectives from Wielkopolska (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Coal ; Coal and Lignite ; Employment and Unemployment ; Energy ; Energy Sector ; Poverty Reduction ; Social Protections and Labor
    Abstract: Part of a three-region set of papers analyzing coal-related labor market challenges in Poland, this paper focuses on Wielkopolska, which is most advanced in the transition out of coal. Finding viable job transitions is of enormous importance. The findings call for a more territorial-oriented approach to brokering the coal transition, rather than a sectoral one. First, even though limited from a regional perspective (4,000 workers), affected jobs are highly concentrated in a few already lagging and depopulating municipalities. Second, while coal-related workers are similarly skilled as other workers in Wielkopolska, non-coal related workers in the at-risk municipalities are substantially less skilled, exposing them to potential displacement effects. Finally, while ready to work and to be re-skilled, discrete choice experiments about their job attribute preferences show that all workers are averse both to commuting and relocating for work, even more so than in Silesia and Lower Silesia. Complementary social protection and employment support will be needed, and the paper suggests some policy options based on international experience. The paper concludes by illustrating how a big-data driven job-matching tool, calibrated on the Polish labor market, could be used to assist caseworkers in identifying "viable-job-transition-pathways" for affected workers as well as to help policymakers identify reskilling needs and attract investments
    DOI: 10.1596/38175
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  • 8
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    Small Area Estimation of Monetary Poverty in Mexico using Satellite Imagery and Machine Learning (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (72 pages)
    Parallel Title: Erscheint auch als Newhouse, David Small Area Estimation of Monetary Poverty in Mexico using Satellite Imagery and Machine Learning
    Keywords: Inequality ; Information and Communication Technologies ; Machine Learning ; Poverty ; Poverty Assessment ; Poverty Eradication ; Poverty Mapping ; Poverty Reduction ; Poverty, Environment and Development ; Satellite Data ; Small Area Estimation ; Sustainable Development Goals
    Abstract: Estimates of poverty are an important input into policy formulation in developing countries. The accurate measurement of poverty rates is therefore a first-order problem for development policy. This paper shows that combining satellite imagery with household surveys can improve the precision and accuracy of estimated poverty rates in Mexican municipalities, a level at which the survey is not considered representative. It also shows that a household-level model outperforms other common small area estimation methods. However, poverty estimates in 2015 derived from geospatial data remain less accurate than 2010 estimates derived from household census data. These results indicate that the incorporation of household survey data and widely available satellite imagery can improve on existing poverty estimates in developing countries when census data are old or when patterns of poverty are changing rapidly, even for small subgroups
    DOI: 10.1596/1813-9450-10175
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  • 9
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    Towards a Just Coal Transition Labor Market Challenges and People's Perspectives from Silesia (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Coal and Lignite ; Employment and Unemployment ; Energy ; Environment ; Green Issues ; Labor Market ; Poverty Reduction ; Social Protections and Labor
    Abstract: Part of a three-region set of papers analyzing coal-related labor market challenges in Poland, this paper focuses on Silesia. The findings call for a more territorial-oriented approach to brokering the coal transition, rather than a sectoral one. First, the number of jobs directly linked to coal-mining in Silesia is substantial, with 72,000 employees in the mining conglomerates, and an additional 17,000 providing goods and services to the mines. Second, coal-related employment is heavily concentrated geographically: as much as 40 percent of the population of Bierunsko-Iedzinski is employed directly and indirectly in the mining sector, and 80 percent of the mining conglomerates' contract value goes to subcontractors within a 20km radius of the mines. Third, the coal sector is highly integrated among a few large firms: 28 percent of the indirect workforce is employed by 10 subcontractors. Fourth, workers in the mining conglomerates have lower foundational (but better technical) skills than their regional and national counterparts, especially those with lower education. Finally, while eager to work, discrete choice experiments about their job attribute preferences show that they are averse to both, commuting and relocating for work, even though less so than in Wielkopolska, yet more so that in Lower Silesia, the two other regions. Together this suggests that there are important welfare and political economic benefits to adequate job creation locally. The paper further advances a data-driven viable-job-matching tool specifically tailored to the Polish labor market and illustrates how it could be used to assess the potential of local labor markets and future investments to absorb the coal-affected workers accounting for their skills profile, re/upskilling needs, and job attribute preferences
    DOI: 10.1596/38119
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  • 10
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    April 2022 Update to the Poverty and Inequality Platform (PIP) : What's New (2022)
    Washington, D.C : The World Bank
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    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Development Patterns and Poverty ; Equity and Development ; Inequality ; Poverty ; Poverty Reduction
    Abstract: The April 2022 update to the newly launched Poverty and Inequality Platform (PIP) involves several changes to the data underlying the global poverty estimates. Some welfare aggregates have been changed for improved harmonization, and the CPI, national accounts, and population input data have been updated. This document explains these changes in detail and the reasoning behind them. Moreover, a large number of new country-years have been added, bringing the total number of surveys to more than 2,000. These include new harmonized surveys for countries in West Africa, new imputed poverty estimates for Nigeria, and recent 2020 household survey data for several countries. Global poverty estimates are now reported up to 2018 and earlier years have been revised
    DOI: 10.1596/37479
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  • 11
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    Assessing the Affordability of Nutrient-Adequate Diets (2021)
    Washington, D.C : The World Bank
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    Language: English
    Pages: 1 Online-Ressource (66 pages)
    Parallel Title: Erscheint auch als Print Version: Schneider, Kate Assessing the Affordability of Nutrient-Adequate Diets
    Keywords: Agriculture ; Diet Cost ; Food Affordability ; Food and Nutrition Policy ; Food Price ; Food Security ; Health, Nutrition and Population ; Meal Sharing ; Nutrient Adequacy ; Nutrition ; Poverty and Health ; Poverty Reduction
    Abstract: The affordability of nutritious diets is increasingly used as a metric of how well a food system provides access to nutritious diets for all. Recent work on least-cost diets has focused on individuals, while most food and anti-poverty programs and policies target the household level. Members within households have differing nutritional needs, presenting the methodological question: how should the cost of nutritious diets be estimated at the household level This study develops bounds on the cost, affordability, and seasonal variation of least-cost diets for whole households, illustrated with the example of Malawi. When intrahousehold sharing is not possible to observe, the bounded approach provides insights into the range of the cost and affordability, and the extent to which the cost may vary seasonally. The results reveal that when meals are shared, ignoring demographic diversity within households greatly underestimates the affordability of adequate diets
    DOI: 10.1596/1813-9450-9834
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  • 12
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    Nowcasting Global Poverty (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (44 pages)
    Parallel Title: Erscheint auch als Print Version: Mahler, Daniel Gerszon Nowcasting Global Poverty
    Keywords: Inequality ; Machine Learning ; Nowcasting ; Poverty ; Poverty Lines ; Poverty Measurement ; Poverty Monitoring and Analysis ; Poverty Reduction
    Abstract: This paper evaluates different methods for nowcasting country-level poverty rates, including methods that apply statistical learning to large-scale country-level data obtained from the World Development Indicators and Google Earth Engine. The methods are evaluated by withholding measured poverty rates and determining how accurately the methods predict the held-out data. A simple approach that scales the last observed welfare distribution by a fraction of real GDP per capita growth-a method that departs slightly from current World Bank practice-performs nearly as well as models using statistical learning on 1,000+ variables. This GDP-based approach outperforms all models that predict poverty rates directly, even when the last survey is up to five years old. The results indicate that in this context, the additional complexity introduced by applying statistical learning techniques to a large set of variables yields only marginal improvements in accuracy
    DOI: 10.1596/1813-9450-9860
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  • 13
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    Migrants, Markets, and Mayors : Rising Above the Employment Challenge in Africa's Secondary Cities - Key Insights (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Employment and Unemployment ; Labor Markets ; Labor Mobility ; Poverty Reduction ; Social Protections and Labor ; Urban Development ; Urban Economic Development ; Urban Governance and Management ; Urban Labor Market ; Urbanization
    Abstract: In our rapidly urbanizing world, mayors often see migrants as a burden to their city's labor market and a threat to its development. Drawing on national household surveys and four secondary city case studies in Africa, this study finds that migrants, being younger, better educated and/or complementary to the resident labor force, usually strengthen the urban labor force. In secondary cities, labor market outcomes for migrants are at least as good as those for residents. Migrants also contribute increasingly less to urban population growth. Secondary cities thus appear well placed to leverage migration. This requires good urban management that develops land and labor markets, prepares for growth and benefits everyone, migrants as well as residents. Migrant specific interventions are warranted when divisions between natives and migrants are deep. Strengthening the financial, technical, and planning capacity of towns to better integrate migrants is part and parcel of the good job's agenda
    DOI: 10.1596/36755
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  • 14
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    Gauging The Welfare Effects of Shocks In Rural Tanzania (2007)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (1 online resource (46 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Christiaensen, Luc Gauging The Welfare Effects of Shocks In Rural Tanzania
    Keywords: Agriculture ; Crime ; Crops and Crop Management Systems ; Economic Theory and Research ; Families ; Health Care ; Health Monitoring and Evaluation ; Health Services ; Health, Nutrition and Population ; Holistic Approach ; Hospitalization ; Macroeconomics and Economic Growth ; Mortality ; Poverty Reduction ; Quality Of Life ; Risk Factors ; Rural Development ; Rural Poverty Reduction ; Unemployment ; Agriculture ; Crime ; Crops and Crop Management Systems ; Economic Theory and Research ; Families ; Health Care ; Health Monitoring and Evaluation ; Health Services ; Health, Nutrition and Population ; Holistic Approach ; Hospitalization ; Macroeconomics and Economic Growth ; Mortality ; Poverty Reduction ; Quality Of Life ; Risk Factors ; Rural Development ; Rural Poverty Reduction ; Unemployment ; Agriculture ; Crime ; Crops and Crop Management Systems ; Economic Theory and Research ; Families ; Health Care ; Health Monitoring and Evaluation ; Health Services ; Health, Nutrition and Population ; Holistic Approach ; Hospitalization ; Macroeconomics and Economic Growth ; Mortality ; Poverty Reduction ; Quality Of Life ; Risk Factors ; Rural Development ; Rural Poverty Reduction ; Unemployment
    Abstract: Studies of risk and its consequences tend to focus on one risk factor, such as a drought or an economic crisis. Yet 2003 household surveys in rural Kilimanjaro and Ruvuma, two cash-crop-growing regions in Tanzania that experienced a precipitous coffee price decline around the turn of the millennium, identified health and drought shocks as well as commodity price declines as major risk factors, suggesting the need for a comprehensive approach to analyzing household vulnerability. In fact, most coffee growers, except the smaller ones in Kilimanjaro, weathered the coffee price declines rather well, at least to the point of not being worse off than non-coffee growers. Conversely, improving health conditions and reducing the effect of droughts emerge as critical to reduce vulnerability. One-third of the rural households in Kilimanjaro experienced a drought or health shocks, resulting in an estimated 8 percent welfare loss on average, after using savings and aid. Rainfall is more reliable in Ruvuma, and drought there did not affect welfare. Surprisingly, neither did health shocks, plausibly because of lower medical expenditures given limited health care provisions
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  • 15
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    Tracking Poverty Over Time In The Absence of Comparable Consumption Data (2006)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (1 online resource (43 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Stifel, David Tracking Poverty Over Time In The Absence of Comparable Consumption Data
    Keywords: Agricultural Production ; Developing Countries ; Health Services ; Health, Nutrition and Population ; Household Assets ; Household Level ; Malaria ; Millennium Development Goals ; National Level ; Policy ; Policy Research ; Population Policies ; Poverty Reduction ; Rural Development ; Rural Poverty Reduction ; Agricultural Production ; Developing Countries ; Health Services ; Health, Nutrition and Population ; Household Assets ; Household Level ; Malaria ; Millennium Development Goals ; National Level ; Policy ; Policy Research ; Population Policies ; Poverty Reduction ; Rural Development ; Rural Poverty Reduction ; Agricultural Production ; Developing Countries ; Health Services ; Health, Nutrition and Population ; Household Assets ; Household Level ; Malaria ; Millennium Development Goals ; National Level ; Policy ; Policy Research ; Population Policies ; Poverty Reduction ; Rural Development ; Rural Poverty Reduction
    Abstract: Following the endorsement of the Millennium Development Goals, there is an increasing demand for methods to track poverty regularly. This paper develops an economically intuitive and inexpensive methodology to do so in the absence of regular, comparable data on household consumption. The minimum data requirements for the methodology are the availability of a household budget survey and a series of surveys with a comparable set of asset data also contained in the budget survey. The methodology is illustrated using a series of Demographic Health Surveys from Kenya
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  • 16
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    The Role of Agriculture In Poverty Reduction An Empirical Perspective (2006)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (1 online resource (49 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Christiaensen, Luc The Role of Agriculture In Poverty Reduction An Empirical Perspective
    Keywords: Agricultural Development ; Agricultural Growth ; Agricultural Productivity ; Agricultural Productivity Growth ; Agricultural Sector ; Agricultural Technology ; Economic Growth ; Economic Theory and Research ; Health, Nutrition and Population ; Household Surveys ; Macroeconomics and Economic Growth ; Population Policies ; Poverty Reduction ; Pro-Poor Growth ; Rural Development ; Rural Development Knowledge and Information Systems ; Rural Poverty Reduction ; Agricultural Development ; Agricultural Growth ; Agricultural Productivity ; Agricultural Productivity Growth ; Agricultural Sector ; Agricultural Technology ; Economic Growth ; Economic Theory and Research ; Health, Nutrition and Population ; Household Surveys ; Macroeconomics and Economic Growth ; Population Policies ; Poverty Reduction ; Pro-Poor Growth ; Rural Development ; Rural Development Knowledge and Information Systems ; Rural Poverty Reduction ; Agricultural Development ; Agricultural Growth ; Agricultural Productivity ; Agricultural Productivity Growth ; Agricultural Sector ; Agricultural Technology ; Economic Growth ; Economic Theory and Research ; Health, Nutrition and Population ; Household Surveys ; Macroeconomics and Economic Growth ; Population Policies ; Poverty Reduction ; Pro-Poor Growth ; Rural Development ; Rural Development Knowledge and Information Systems ; Rural Poverty Reduction
    Abstract: The relative contribution of a sector to poverty reduction is shown to depend on its direct and indirect growth effects as well as its participation effect. The paper assesses how these effects compare between agriculture and non-agriculture by reviewing the literature and by analyzing cross-country national accounts and poverty data from household surveys. Special attention is given to Sub-Saharan Africa. While the direct growth effect of agriculture on poverty reduction is likely to be smaller than that of non-agriculture (though not because of inherently inferior productivity growth), the indirect growth effect of agriculture (through its linkages with nonagriculture) appears substantial and at least as large as the reverse feedback effect. The poor participate much more in growth in the agricultural sector, especially in low-income countries, resulting in much larger poverty reduction impact. Together, these findings support the overall premise that enhancing agricultural productivity is the critical entry-point in designing effective poverty reduction strategies, including in Sub-Saharan Africa. Yet, to maximize the poverty reducing effects, the right agricultural technology and investments must be pursued, underscoring the need for much more country specific analysis of the structure and institutional organization of the rural economy in designing poverty reduction strategies
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