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  • 1
    Language: English
    Pages: 1 Online-Ressource (33 pages)
    Parallel Title: Erscheint auch als Mandon, Pierre Stuck in a Conflict Trap: The Case of the Central African Republic Civil War
    Keywords: Armed Conflict ; Civil War ; Conflict and Development ; Development Trap ; Human Aset Index ; Political and Civil Crisis ; Social Conflict and Violence ; Social Development ; Synthetic Control Method
    Abstract: This paper uses the synthetic control method to assess the impact of the civil war in the Central African Republic on the main socioeconomic indicators. Based on a donor pool of low-income countries, the paper builds a synthetic counterfactual to evaluate the magnitude of the socioeconomic impacts of the civil war. The results indicate that the civil war led to a significant drop in gross domestic product per capita (41.6 percent), nighttime light intensity (33.8 percent), industrial production (34.1 percent), manufacturing value added (33.7 percent), and the human asset index (20.2 percent), from 2013, which is considered as the starting point of the ongoing political and civil crisis
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  • 2
    Language: English
    Pages: 1 Online-Ressource (41 pages)
    Parallel Title: Erscheint auch als Deininger, Klaus Land and Mortgage Markets in Ukraine: Pre-War Performance, War Effects, and Implications for Recovery
    Keywords: Agricultural Land Sales ; Agricultural Production ; Communities and Human Settlements ; Conflict and Development ; Credit Market ; Determinates of Land Price ; Finance and Financial Sector Development ; Impact of War on Markets ; Land Governance Reform ; Land Market ; Post War Reconstruction
    Abstract: Almost throughout Ukraine's independent history, agricultural land sales were prohibited. Measures to allow them and make land governance more transparent in 2020/21 were expected to improve equity, investment, credit access, and decentralization. This paper draws on administrative data and satellite imagery to describe land market performance before and after the Russian invasion, assess changes in land use for transacted parcels, and analyze determinants of land prices. Agricultural land market volume soon exceeded that of residential land and continued at a reduced level and with prices some 15-20 percent lower even after the invasion, with little sign of speculative land acquisition. Mortgage market activity and credit access remained below expectations. The paper discusses reasons and options for addressing them in a way that also factors in the needs of post-war reconstruction
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  • 3
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (65 pages)
    Parallel Title: Erscheint auch als Laville, Camille Internal Conflicts and Shocks. A Narrative Meta-Analysis
    Keywords: Climate Shock ; Commodity Shocks ; Conflict ; Conflict and Development ; Disaster Management ; Income-Driven Conflict ; Local Risk of Conflict ; Meta-Regression Analysis ; Natural Resources ; Wealth-Increasing Shock
    Abstract: Do income shocks locally affect internal conflicts To address this question, this paper employs a meta-regression analysis of 2,464 infranational estimates from 64 recent empirical studies on conflicts and income-related shocks in developing countries. After accounting for publication selection bias, the analysis finds that, on average, wealth-increasing shocks in the agriculture sector are negatively associated with the local risk of conflict. Nonetheless, the analysis finds no average effect of wealth-decreasing shocks in the agriculture sector or wealth-increasing shocks in the extractive sector on the local risk of conflict. The paper also shows that studies that fail to uncover empirical effects that conform to researchers' expectations on the theoretical mechanisms are less likely to be published. Differences in the geographical area of study, the choice of control variables, and the way shocks are measured substantially explain the heterogeneity among estimates in the literature
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  • 4
    Language: English
    Pages: 1 Online-Ressource (39 pages)
    Parallel Title: Erscheint auch als Deininger, Klaus Impact of the Russian Invasion on Ukrainian Farmers' Productivity, Rural Welfare, and Food Security
    Keywords: Agricultural Production ; Agriculture ; Armed Conflict Impact on Agriculture ; Conflict and Development ; Credit Markets ; Farm Profitability ; Food Security ; Post Conflict Reconstruction ; Post-Conflict Agricultural Reconstruction ; Rural Impact of War ; Rural Welfare
    Abstract: Data from 2,251 small and medium-size farms for 2021 and 2022 show that area reductions in response to the Russian invasion of Ukraine remained limited. However, worsening terms of trade reduced farm profitability, implying that 46 percent of farms had a negative cash flow and 54 percent (67 percent in the 50-120 hectare group) were credit constrained in 2022, implying that longer term effects may be more adverse. Total factor productivity varies significantly across size groups but is not significantly different between formal and informal farms in the same size group. This suggests that limited transferability of land use rights that are disproportionately used by smaller farms may be one reason for low productivity. Improving transferability of land, digital access to markets, and mortgage lending could thus trigger investment and growth in higher value products by small and medium-size farms to solidify Ukraine's comparative advantage in agriculture and improve rural living conditions in the context of reconstruction
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  • 5
    Language: English
    Pages: 1 Online-Ressource (60 pages)
    Parallel Title: Erscheint auch als Deininger, Klaus Quantifying War-Induced Crop Losses in Ukraine in near Real Time to Strengthen Local and Global Food Security
    Keywords: Agricultural Production ; Agriculture ; Armed Conflict ; Conflict ; Conflict and Development ; Food Security ; Machine Learning ; War
    Abstract: This paper uses a 4-year panel (2019-2022) of 10,125 village councils in Ukraine to estimate direct and indirect effects of the war started by Russia on area and expected yield of winter crops. Satellite imagery is used to provide information on direct damage to agricultural fields; classify crop cover using machine learning; and compute the Normalized Difference Vegetation Index (NDVI) for winter cereal fields as a proxy for yield. Without conflict, winter crop area would have been 9.14 rather than 8.38 mn. ha, a 0.75 mn. ha reduction, 86% of which is due to economy-wide effects. The estimated conflict-induced drop in NDVI for winter cereal, which is particularly pronounced for small farms, translates into a 15% yield reduction or an output loss of 4.2 million tons. Taking area and yield reduction together suggests a war-induced loss of winter crop output of 20% if the current winter crop can be harvested fully
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