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Methodological to IFPRI database for GHG emissions from agriculture by country, commodity, and source, 2016
| Content Provider | Consultative Group on International Agricultural Research (CGIAR) |
|---|---|
| Author | Laborde Debucquet, David Mamun, Abdullah Martin, Will Piñeiro, Valeria Vos, Rob |
| Organization | IFPRI - Markets, Trade, and Institutions Division |
| Description | For this study, we created a new database of emissions in agricultural production. FAOSTAT presents vectors of data on emissions by type and by commodity for each country, but we need the full matrix of emissions by type, commodity, and source to allow us to consider changes in emissions by type in production of each commodity, such as reductions in emissions from enteric fermentation in beef production. Wherever possible, we derived this full matrix by reverse engineering the FAO emission data to ensure that the total matched the FAOSTAT estimates. Where this was not possible, as in the case of emissions from pesticides, we used a similar IPCC Tier 1 methodology to generate comparable estimates. |
| Sponsorship | World Bank |
| Related Links | https://cgspace.cgiar.org/items/921017e8-50dd-47d1-bb93-51e6b5ffdc32 |
| File Format | |
| DOI | 10.2499/p15738coll2.134270 |
| Language | English |
| Publisher | International Food Policy Research Institute |
| Publisher Place | Washington, DC |
| Access Restriction | Open |
| Rights License | CC-BY-4.0 |
| Subject Keyword | Policies, Institutions, and Markets Greenhouse Gas Emissions Agriculture Emission Subsidies Climate Change |
| Content Type | Text |
| Resource Type | Article |
| Subject | Agronomy and Crop Science Food Science Plant Science |
