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1 to 10 of 51 Results
Sep 18, 2023
Valerie Graw, 2023, "Marginality Hotspots and Poverty Head Count Ratio, Sub-Saharan Africa and South Asia, 2005-2010", https://doi.org/10.60507/FK2/E2XJOR, bonndata, V1
Overlaying the number of marginality dimensions with percentage of people living below 1.25$/day. This map is included in a global study on mapping marginality focusing on Sub-Saharan Africa and South Asia. The Dimensions of Marginality are based on different data sources represe...
Sep 18, 2023
Amit Kumar Basukala, 2023, "Control of corruption, Worldwide Governance Indicator, 2016", https://doi.org/10.60507/FK2/FQCEC8, bonndata, V1
Control of corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. This table lists the individual variables from each...
Sep 18, 2023
Valerie Graw, 2023, "High Agricultural Potential and Yield Gaps in Bangladesh, 2005-2010.", https://doi.org/10.60507/FK2/OKY4X6, bonndata, V1
Overlay of medium, high and very high agricultural potential and yield gaps for Bangladesh. Indicators: Suitability of land area for rainfed crops: FGGD map 6.60, classes: medium to very high Yield Gaps: FAO/IIASA - GAEZ < 0.5 The here presented simple analysis should give insigh...
Sep 18, 2023
Christine Husmann, 2023, "Ethnic fractionalization in Ethiopia and their coincidence with marginality hotspots, 2007", https://doi.org/10.60507/FK2/NA7AGS, bonndata, V1
This map shows ethnic fractionalization. The Ethnic Fractionalization Index is calculated using data from the 2007 Population and Housing Census. The striped areas show where marginality hotspots are. The map reveals that marginality hotspots are ethnically more homogeneous than...
Sep 18, 2023
Javier Miranda, 2023, "Agricultural System in Mato Grosso, Brazil, 2006", https://doi.org/10.60507/FK2/WQ1EAY, bonndata, V1
Tropical forest loss remains a major environmental trade-off vis-à-vis the provision of food, feed, fiber, and bioenergy for an increasingly affluent world population. The effectiveness of agricultural intensification as a key strategy to manage and mitigate this trade-off is, ho...
Sep 18, 2023
José Luis Viveros Añorve, 2023, "Macroeconomic model (GAMS) for poverty reduction in Mexico", https://doi.org/10.60507/FK2/CNOY41, bonndata, V1
A Computable General Equilibrium (CGE) model in a bottom-up approach - based on microfoundations - and a Social Accounting Matrix (SAM) for the regional economy of Chiapas are built. Methodology: This research applies a Computable General Equilibrium (CGE) model. It is a system o...
Sep 18, 2023
Amit Kumar Basukala, 2023, "Average Bioeconomy Typology Indicators of World, 2010 -2015", https://doi.org/10.60507/FK2/EODTEG, bonndata, V1
The file consists of country wise database of whole world related to bioeconomy typology indicators collected from different online sources with following headings which are as follows: Importance of bio-based economic sectors in agriculture, Forestry, High-tech bioeconomy and bi...
Sep 18, 2023
Javier Miranda, 2023, "Deforestation Hotspots in Brazil, 2005-2012", https://doi.org/10.60507/FK2/FR6LSN, bonndata, V1
Natural land resources in Brazil have been subject to strong pressure from agricultural expansion over the past two decades. This map identifies and classifies deforestation hotspots in the Southern American country. Moreover, it hints to land use change dynamics such as leakage...
Sep 18, 2023
Javier Miranda, 2023, "Forestland prices in Brazil, 2001-2012", https://doi.org/10.60507/FK2/OBLC3D, bonndata, V1
The Brazilian Amazon and Cerrado biomes have been subject to strong pressure from agricultural expansion over the past two decades, partly driven by speculative land acquisition. The land price dataset, covering the period from 2001 to 2012, is used to decompose forestland prices...
Sep 18, 2023
Pablo Evia, 2023, "Local Government Municipal Finances in Bolivia, 2001 and 2012", https://doi.org/10.60507/FK2/FYVNPP, bonndata, V1
The dataset comprises administrative data regarding fiscal decentralization (intergovernmental transfers, municipal expenditures, and local revenues), nutrition (stunting, wasting and underweight for children under five years old), health-related indicators (access to safe water...
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