A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency
In this paper, a stochastic frontier model accounting for spatial dependency is developed using generalized maximum entropy estimation. An application is made for measuring total factor productivity in European agriculture. The empirical results show that agricultural productivity growth in Europe i...
| Autores principales: | , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2011
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/165849 |
| _version_ | 1855540387919167488 |
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| author | Tonini, Axel Pede, Valerien |
| author_browse | Pede, Valerien Tonini, Axel |
| author_facet | Tonini, Axel Pede, Valerien |
| author_sort | Tonini, Axel |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | In this paper, a stochastic frontier model accounting for spatial dependency is developed using generalized maximum entropy estimation. An application is made for measuring total factor productivity in European agriculture. The empirical results show that agricultural productivity growth in Europe is driven by upward movements of technology over time through technological developments. Results are then compared for a situation in which spatial dependency in the technical inefficiency effects is not accounted. |
| format | Journal Article |
| id | CGSpace165849 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2011 |
| publishDateRange | 2011 |
| publishDateSort | 2011 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1658492024-12-22T05:45:03Z A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency Tonini, Axel Pede, Valerien economic growth europe models productivity spatial distribution technological changes In this paper, a stochastic frontier model accounting for spatial dependency is developed using generalized maximum entropy estimation. An application is made for measuring total factor productivity in European agriculture. The empirical results show that agricultural productivity growth in Europe is driven by upward movements of technology over time through technological developments. Results are then compared for a situation in which spatial dependency in the technical inefficiency effects is not accounted. 2011-10-28 2024-12-19T12:55:32Z 2024-12-19T12:55:32Z Journal Article https://hdl.handle.net/10568/165849 en Open Access MDPI Tonini, Axel; Pede, Valerien. 2011. A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency. Entropy, Volume 13 no. 11 p. 1916-1927 |
| spellingShingle | economic growth europe models productivity spatial distribution technological changes Tonini, Axel Pede, Valerien A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency |
| title | A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency |
| title_full | A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency |
| title_fullStr | A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency |
| title_full_unstemmed | A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency |
| title_short | A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency |
| title_sort | generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency |
| topic | economic growth europe models productivity spatial distribution technological changes |
| url | https://hdl.handle.net/10568/165849 |
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