Agricultural Total Factor Productivity (TFP), 2000-2016
| cg.authorship.types | CGIAR single centre | |
| cg.identifier.doi | https://doi.org/10.7910/dvn/pjdgtj | |
| cg.identifier.project | IFPRI - Global Food Policy Report | |
| cg.identifier.project | IFPRI - Environment and Production Technology Division | |
| cg.identifier.publicationRank | Not ranked | |
| cg.place | Washington, DC | |
| cg.reviewStatus | Internal Review | |
| dc.contributor.author | International Food Policy Research Institute | |
| dc.date.accessioned | 2024-06-04T09:44:26Z | en |
| dc.date.available | 2024-06-04T09:44:26Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/144744 | |
| dc.title | Agricultural Total Factor Productivity (TFP), 2000-2016 | en |
| dcterms.abstract | Increasing the efficiency of agricultural production—getting more output from the same amount of resources—is critical for improving food security. To measure the efficiency of agricultural systems, we use total factor productivity (TFP). TFP is an indicator of how efficiently agricultural land, labor, capital, and materials (agricultural inputs) are used to produce a country’s crops and livestock (agricultural output)—it is calculated as the ratio of total agricultural output to total production inputs. When more output is produced from a constant amount of resources, meaning that resources are being used more efficiently, TFP increases. Measures of land and labor productivity—partial factor productivity (PFP) measures—are calculated as the ratio of total output to total agricultural area (land productivity) and to the number of economically active persons in agriculture (labor productivity). Because PFP measures are easy to estimate, they are often used to measure agricultural production performance. These measures normally show higher rates of growth than TFP, because growth in land and labor productivity can result not only from increases in TFP but also from a more intensive use of other inputs (such as fertilizer or machinery). Indicators of both TFP and PFP contribute to the understanding of agricultural systems needed for policy and investment decisions by allowing for comparisons across time and across countries and regions. The data include estimates of TFP and land and labor productivity measures for developing countries and regions for three-sub-periods between 2000 and 2016. These use the most recent data on outputs and inputs from the Economic Research Service of the US Department of Agriculture (ERS-USDA), an internationally consistent and comparable dataset on production and input quantities built using data from the FAOSTAT database of the Food and Agriculture Organization of the United Nations (FAO), supplemented with data from national statistical sources (for more on data and methodology- https://www.ers.usda.gov/data-products/international-agricultural-productivity/ ). | en |
| dcterms.accessRights | Open Access | |
| dcterms.bibliographicCitation | International Food Policy Research Institute. 2020. Agricultural Total Factor Productivity (TFP), 2000-2016. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/PJDGTJ. Harvard Dataverse. Version 1. | en |
| dcterms.issued | 2020 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.publisher | International Food Policy Research Institute | |
| dcterms.relation | https://doi.org/10.2499/p15738coll2.133172 | en |
| dcterms.replaces | https://ebrary.ifpri.org/digital/collection/p15738coll3/id/452 | |
| dcterms.subject | land productivity | en |
| dcterms.subject | development indicators | en |
| dcterms.subject | labour | en |
| dcterms.type | Dataset |