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  • 1
    Language: English
    Pages: 1 Online-Ressource (51 pages)
    Parallel Title: Erscheint auch als Baez, Javier E A Spatial Perspective on Booms and Busts: Evidence from Turkiye
    Keywords: Business Cycles and Growth ; Business Cycles and Stabilization Policies ; Data on National Income ; Economic Development Analysis ; Economic Geography ; Economic Growth Cycles ; Inequality ; International Economics and Trade ; Macroeconomic Analyses ; Macroeconomics and Economic Growth ; Measurement of National Income ; Poverty Reduction ; Regional Economic Activity ; Spatial Inequality
    Abstract: This paper combines official subnational and remote-sensed data to uncover the relationships between business cycles in Turkiye and the corresponding changes in economic activity at lower levels of spatial aggregation. The objective is to document changes in the nature of growth within and across business cycles, with a focus on understanding how sectoral changes interact with within-country remoteness during each phase. The paper shows that: (i) the significant growth between 2010 and 2017 was bookended by recessions in which gross domestic product per capita fell more sharply the closer a province was to one of the two largest cities; (ii) the two recessions differed in terms of their sectoral impacts, with manufacturing declines inversely related to remoteness during the first recession and positively related during the second; (iii) there were large increases in the construction sector's gross value added during the post-2009 rebound-consistent with unprecedented increases in nighttime light luminosity-with growth positively related to remoteness; and (iv) changes in nighttime light luminosity are correlated with changes in physical activity: a 10 percent increase in nighttime lights is associated with a 3.5 percent increase in construction output and a 1.5 percent increase in manufacturing output. Together, the results suggest that recessions and recoveries that may appear to be similar at a macroeconomic scale may be driven by very different changes at more disaggregated spatial scales and have varied impacts on regional convergence
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  • 2
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Policy Notes
    Series Statement: World Bank E-Library Archive
    Abstract: Agriculture is critical for sustainable development and poverty reduction, and agricultural growth can be a powerful means for inclusive growth. Uganda's success in using agriculture for development and inclusive growth will depend on a variety of factors, some of which are within the sector, some are cross-cutting and general to the economy, and some are outside Uganda's sphere of influence, such as the global and regional price development of agricultural commodities. This policy note focuses on those factors that Ugandan policymakers can influence, both within and outside the direct mandate of agricultural policymakers. The key policy question in the Ugandan context is how to shift as many farmers as possible out of subsistence agriculture into commercial agriculture. During the past two decades, a diverse array of initiatives has promoted the commercialization of smallholder agriculture in Uganda. This policy note presents major interventions needed to accelerate agricultural commercialization. This policy note is part of the larger analytical work carried out by the World Bank on inclusive growth in Uganda. It therefore feeds into that larger effort. This note does not deal with migration from rural to urban areas because that topic is covered in other notes
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 3
    Language: English
    Pages: 1 Online-Ressource (50 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Baffes, John What Drives Local Food Prices? Evidence from the Tanzanian Maize Market
    Abstract: This study quantifies the relationship between Tanzanian and external maize markets while also accounting for domestic influences. It concludes that external influences on domestic prices originate from regional, rather than global, markets. It also shows that, compared to external factors, domestic factors exert a greater influence on Tanzanian maize markets. Further, the mechanisms through which trade policies influence maize markets involve interactions with both external market shocks and domestic weather shocks. Overall, it provides evidence that the intermittent imposition of export bans in Tanzania has had adverse impacts on its maize markets, and consequently, on the development of its agrarian economy
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 4
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (14 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Baffes, John Sources of Volatility during Four Oil Price Crashes
    Abstract: Previous sharp oil price declines have been accompanied by elevated ex post volatility. In contrast, volatility was much less elevated during the oil price crash in 2014/15. This paper provides evidence that oil prices declined in a relatively measured manner during 2014/15, with dispersion of price changes that was considerably smaller than comparable oil price declines. This finding is robust to nonparametric and GARCH measures of volatility. Further, the U.S. dollar appreciation exerted a strong influence on volatility during the recent crash; in contrast, the impact of shocks on equity markets was muted
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 5
    Language: English
    Pages: 1 Online-Ressource (circa 59 Seiten) , Illustrationen
    Series Statement: Policy research working paper 9071
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Javier E. Baez Adaptive Safety Nets for Rural Africa: Drought-Sensitive Targeting with Sparse Data
    Keywords: Graue Literatur
    Abstract: This paper combines remote-sensed data and individual child-, mother-, and household-level data from the Demographic and Health Surveys for five countries in Sub-Saharan Africa (Malawi, Tanzania, Mozambique, Zambia, and Zimbabwe) to design a prototype drought-contingent targeting framework that may be used in scarce-data contexts. To accomplish this, the paper: (i) develops simple and easy-to-communicate measures of drought shocks; (ii) shows that droughts have a large impact on child stunting in these five countries-comparable, in size, to the effects of mother's illiteracy and a fall to a lower wealth quintile; and (iii) shows that, in this context, decision trees and logistic regressions predict stunting as accurately (out-of-sample) as machine learning methods that are not interpretable. Taken together, the analysis lends support to the idea that a data-driven approach may contribute to the design of policies that mitigate the impact of climate change on the world's most vulnerable populations
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  • 6
    Language: English
    Pages: 1 Online-Ressource (49 pages)
    Parallel Title: Erscheint auch als Gascoigne, Jon The Welfare Cost of Drought in Sub-Saharan Africa
    Keywords: Climate Change ; Climate Change and Health ; Draught ; Health, Nutrition and Population ; Household Consumption ; Social Aspects of Climate Change ; Social Development ; Social Protection and Climate Change
    Abstract: This paper quantifies the impact of drought on household consumption for five main agroecological zones in Africa, developing vulnerability (or damage) functions of the relationship between rainfall deficits and poverty. Damage functions are a key element in models that quantify the risk of extreme weather and the impacts of climate change. Although these functions are commonly estimated for storm or flood damages to buildings, they are less often available for income losses from droughts. The paper takes a regional approach to the analysis, developing standardized hazard definitions and methods for matching hazard and household data, allowing survey data from close to 100,000 households to be used in the analysis. The damage functions are used to quantify the impact of historical weather conditions on poverty for eight countries, highlighting the risk to poverty outcomes that weather variability causes. National poverty rates are 1-12 percent higher, depending on the country, under the worst weather conditions relative to the best conditions observed in the past 13 years. This amounts to an increase in the total poverty gap that ranges from USD 4 million to USD 2.4 billion (2011 purchasing power parity)
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