Bridging the gap between partial and total factor productivity measures using directional distance functions
Technical dependencies as well as data constraints limit our ability to allocate inputs across sectors and hence our ability to measure sectoral productivity. We adapt a directional measure of efficiency to the measurement of sector-specific productivity that does not require allocating all inputs a...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2003
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/4158 |
| _version_ | 1855535070167695360 |
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| author | Nin-Pratt, Alejandro Arndt, Channing Hertel, Thomas W. Preckel, P.V. |
| author_browse | Arndt, Channing Hertel, Thomas W. Nin-Pratt, Alejandro Preckel, P.V. |
| author_facet | Nin-Pratt, Alejandro Arndt, Channing Hertel, Thomas W. Preckel, P.V. |
| author_sort | Nin-Pratt, Alejandro |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Technical dependencies as well as data constraints limit our ability to allocate inputs across sectors and hence our ability to measure sectoral productivity. We adapt a directional measure of efficiency to the measurement of sector-specific productivity that does not require allocating all inputs across sectors. Applied to the agricultural sector of a group of countries, the results show important differences in livestock and crops productivity growth. Commonly used partial factor productivity measures for livestock and crops tend to overestimate productivity growth in most developing countries while underestimating it in European countries. |
| format | Journal Article |
| id | CGSpace4158 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2003 |
| publishDateRange | 2003 |
| publishDateSort | 2003 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace41582025-04-12T19:06:10Z Bridging the gap between partial and total factor productivity measures using directional distance functions Nin-Pratt, Alejandro Arndt, Channing Hertel, Thomas W. Preckel, P.V. crops livestock Technical dependencies as well as data constraints limit our ability to allocate inputs across sectors and hence our ability to measure sectoral productivity. We adapt a directional measure of efficiency to the measurement of sector-specific productivity that does not require allocating all inputs across sectors. Applied to the agricultural sector of a group of countries, the results show important differences in livestock and crops productivity growth. Commonly used partial factor productivity measures for livestock and crops tend to overestimate productivity growth in most developing countries while underestimating it in European countries. 2003-11 2011-07-11T16:40:42Z 2011-07-11T16:40:42Z Journal Article https://hdl.handle.net/10568/4158 en Limited Access Wiley Nin, A., Arndt, C., Hertel, T.W. and Preckel, P.V. 2003. Bridging the gap between partial and total factor productivity measures using directional distance functions. American Journal of Agricultural Economics 85(4):928-942. |
| spellingShingle | crops livestock Nin-Pratt, Alejandro Arndt, Channing Hertel, Thomas W. Preckel, P.V. Bridging the gap between partial and total factor productivity measures using directional distance functions |
| title | Bridging the gap between partial and total factor productivity measures using directional distance functions |
| title_full | Bridging the gap between partial and total factor productivity measures using directional distance functions |
| title_fullStr | Bridging the gap between partial and total factor productivity measures using directional distance functions |
| title_full_unstemmed | Bridging the gap between partial and total factor productivity measures using directional distance functions |
| title_short | Bridging the gap between partial and total factor productivity measures using directional distance functions |
| title_sort | bridging the gap between partial and total factor productivity measures using directional distance functions |
| topic | crops livestock |
| url | https://hdl.handle.net/10568/4158 |
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