11 to 20 of 83 Results
Tabular Data - 985 B - 3 Variables, 17 Observations - UNF:6:uhUND49IZf47vflDYcJX1w==
This file includes codes and descriptions of variables used in the data. |
Tabular Data - 2.2 KB - 7 Variables, 72 Observations - UNF:6:qx+vtZ6XlHoWt4lq5Yp8mw==
This file contains data on IMPACT projections of a total production (million metric tons) to 2050, with and without climate change at commodity level,as presented in Table 2A of annex of 2022 GFPR report. |
May 11, 2022
International Food Policy Research Institute (IFPRI), 2022, "IMPACT Projections of Hunger With and Without Climate Change: Extended Country-Level Results for 2022 GFPR Table 1C", https://doi.org/10.7910/DVN/S9ZLYD, Harvard Dataverse, V1, UNF:6:V3JphH+o0dAqkmmjZTv3Pg== [fileUNF]
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute’s IMPACT model is an integrated system of linked economic, climate, wate... |
May 11, 2022 -
IMPACT Projections of Hunger With and Without Climate Change: Extended Country-Level Results for 2022 GFPR Table 1C
Tabular Data - 5.7 KB - 6 Variables, 169 Observations - UNF:6:ghcxwVaVOz3vDPM/X+ckew==
This file contains data on IMPACT projections of hunger (millions of people at risk to 2050, with and without climate change at the country level, as presented in Table 1C of annex of 2022 GFPR report. |
May 11, 2022 -
IMPACT Projections of Hunger With and Without Climate Change: Extended Country-Level Results for 2022 GFPR Table 1C
Tabular Data - 985 B - 3 Variables, 17 Observations - UNF:6:uhUND49IZf47vflDYcJX1w==
This file includes codes and descriptions of variables used in the data. |
May 11, 2022
International Food Policy Research Institute (IFPRI), 2022, "IMPACT Projections of per Capita Food Consumption With and Without Climate Change: Extended Country-Level Results for 2022 GFPR Table 1B", https://doi.org/10.7910/DVN/38F7LL, Harvard Dataverse, V1, UNF:6:Obt6odHbXp4iC03ZJLolew== [fileUNF]
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute’s IMPACT model is an integrated system of linked economic, climate, wate... |
Tabular Data - 9.2 KB - 6 Variables, 170 Observations - UNF:6:O71OPI3wTijBeoAdgt4+jw==
This file contains data on IMPACT projections of per capita food consumption (kcal per capita per day) to 2050, with and without climate change at country level, as presented in Table 1B of annex of 2022 GFPR report. |
Tabular Data - 985 B - 3 Variables, 17 Observations - UNF:6:uhUND49IZf47vflDYcJX1w==
This file includes codes and descriptions of variables used in the data. |
Aug 19, 2021
International Food Policy Research Institute (IFPRI), 2021, "Replication Data for: Income, Consumer Preferences, and the Future of Livestock-Derived Food Demand", https://doi.org/10.7910/DVN/ZPWQBB, Harvard Dataverse, V1, UNF:6:6cqtz7KaXq72vt796PHnXA== [fileUNF]
This dataset contains the data and scripts required to reproduce the tables and figures in the study titled "Income, consumer preferences, and the future of livestock-derived food demand." R scripts were run using R version 4.0.5 on Windows 10 x64. All the data and script should be placed in one folder. Add a R project into the folder (for example,... |
Aug 19, 2021 -
Replication Data for: Income, Consumer Preferences, and the Future of Livestock-Derived Food Demand
R Syntax - 6.7 KB -
MD5: f664ac92e18253465860080ecfdd2956
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