Modeling spatial interaction in stochastic frontier analysis
We compare farm level efficiency rankings derived from non-spatial and a variety of spatial model specifications that account for unobserved heterogeneity in both the production and the efficiency sides of the stochastic frontier model in an empirical application on rice farming in the Philippines....
| Autores principales: | , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Frontiers Media
2021
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| Acceso en línea: | https://hdl.handle.net/10568/164254 |
| _version_ | 1855517216707969024 |
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| author | Areal, Francisco J. Pede, Valerien O. |
| author_browse | Areal, Francisco J. Pede, Valerien O. |
| author_facet | Areal, Francisco J. Pede, Valerien O. |
| author_sort | Areal, Francisco J. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We compare farm level efficiency rankings derived from non-spatial and a variety of spatial model specifications that account for unobserved heterogeneity in both the production and the efficiency sides of the stochastic frontier model in an empirical application on rice farming in the Philippines. We show how not accounting for unobserved spatial heterogeneity affects efficiency estimates and farm efficiency rankings. When not accounting for unobserved spatial heterogeneity efficiency, models show farms to be relatively more inefficient than they actually are (i.e., once unobserved spatial heterogeneity is incorporated in the models). More importantly from a policy perspective, the rankings of the farms in terms of efficiency are altered once unobserved spatial heterogeneity is incorporated in efficiency models. We recommend the use of unobserved effects in both production and efficiency within the stochastic frontier analysis framework to avoid making any misleading recommendations to farmers and policymakers. |
| format | Journal Article |
| id | CGSpace164254 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1642542024-12-19T14:12:01Z Modeling spatial interaction in stochastic frontier analysis Areal, Francisco J. Pede, Valerien O. We compare farm level efficiency rankings derived from non-spatial and a variety of spatial model specifications that account for unobserved heterogeneity in both the production and the efficiency sides of the stochastic frontier model in an empirical application on rice farming in the Philippines. We show how not accounting for unobserved spatial heterogeneity affects efficiency estimates and farm efficiency rankings. When not accounting for unobserved spatial heterogeneity efficiency, models show farms to be relatively more inefficient than they actually are (i.e., once unobserved spatial heterogeneity is incorporated in the models). More importantly from a policy perspective, the rankings of the farms in terms of efficiency are altered once unobserved spatial heterogeneity is incorporated in efficiency models. We recommend the use of unobserved effects in both production and efficiency within the stochastic frontier analysis framework to avoid making any misleading recommendations to farmers and policymakers. 2021-06-04 2024-12-19T12:53:38Z 2024-12-19T12:53:38Z Journal Article https://hdl.handle.net/10568/164254 en Open Access Frontiers Media Areal, Francisco J.; Pede, Valerien O. 2021. Modeling spatial interaction in stochastic frontier analysis. Front. Sustain. Food Syst., Volume 5 |
| spellingShingle | Areal, Francisco J. Pede, Valerien O. Modeling spatial interaction in stochastic frontier analysis |
| title | Modeling spatial interaction in stochastic frontier analysis |
| title_full | Modeling spatial interaction in stochastic frontier analysis |
| title_fullStr | Modeling spatial interaction in stochastic frontier analysis |
| title_full_unstemmed | Modeling spatial interaction in stochastic frontier analysis |
| title_short | Modeling spatial interaction in stochastic frontier analysis |
| title_sort | modeling spatial interaction in stochastic frontier analysis |
| url | https://hdl.handle.net/10568/164254 |
| work_keys_str_mv | AT arealfranciscoj modelingspatialinteractioninstochasticfrontieranalysis AT pedevalerieno modelingspatialinteractioninstochasticfrontieranalysis |