Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines
We investigated the role of spatial dependency in the technical efficiency estimates of rice farmers using panel data from the Central Visayan island of Bohol in the Philippines. Household‐level data were collected from irrigated and rainfed agro‐ecosystems. In each ecosystem, the geographical infor...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/164894 |
| _version_ | 1855528650946904064 |
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| author | Pede, Valerien O. Areal, Francisco J. Singbo, Alphonse McKinley, Justin Kajisa, Kei |
| author_browse | Areal, Francisco J. Kajisa, Kei McKinley, Justin Pede, Valerien O. Singbo, Alphonse |
| author_facet | Pede, Valerien O. Areal, Francisco J. Singbo, Alphonse McKinley, Justin Kajisa, Kei |
| author_sort | Pede, Valerien O. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We investigated the role of spatial dependency in the technical efficiency estimates of rice farmers using panel data from the Central Visayan island of Bohol in the Philippines. Household‐level data were collected from irrigated and rainfed agro‐ecosystems. In each ecosystem, the geographical information on residential and farm‐plot neighborhood structures was recorded to compare household‐level spatial dependency among four types of neighborhoods. A Bayesian stochastic frontier approach that integrates spatial dependency was used to address the effects of neighborhood structures on farmers’ performance. Incorporating the spatial dimension into the neighborhood structures allowed for identification of the relationships between spatial dependency and technical efficiency through comparison with nonspatial models. The neighborhood structure at the residence and plot levels were defined with a spatial weight matrix where cut‐off distances ranged from 100 to 1,000 m. We found that spatial dependency exists at the residential and plot levels and is stronger for irrigated farms than rainfed farms. We also found that technical inefficiency levels decrease as spatial effects are more taken into account. Because the spatial effects increase with a shorter network distance, the decreasing technical inefficiency implies that the unobserved inefficiencies can be explained better by considering small networks of relatively close farmers over large networks of distant farmers. |
| format | Journal Article |
| id | CGSpace164894 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1648942025-02-19T14:25:45Z Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines Pede, Valerien O. Areal, Francisco J. Singbo, Alphonse McKinley, Justin Kajisa, Kei bayesian theory farmers irrigation philippines rainfed rice We investigated the role of spatial dependency in the technical efficiency estimates of rice farmers using panel data from the Central Visayan island of Bohol in the Philippines. Household‐level data were collected from irrigated and rainfed agro‐ecosystems. In each ecosystem, the geographical information on residential and farm‐plot neighborhood structures was recorded to compare household‐level spatial dependency among four types of neighborhoods. A Bayesian stochastic frontier approach that integrates spatial dependency was used to address the effects of neighborhood structures on farmers’ performance. Incorporating the spatial dimension into the neighborhood structures allowed for identification of the relationships between spatial dependency and technical efficiency through comparison with nonspatial models. The neighborhood structure at the residence and plot levels were defined with a spatial weight matrix where cut‐off distances ranged from 100 to 1,000 m. We found that spatial dependency exists at the residential and plot levels and is stronger for irrigated farms than rainfed farms. We also found that technical inefficiency levels decrease as spatial effects are more taken into account. Because the spatial effects increase with a shorter network distance, the decreasing technical inefficiency implies that the unobserved inefficiencies can be explained better by considering small networks of relatively close farmers over large networks of distant farmers. 2018-05 2024-12-19T12:54:27Z 2024-12-19T12:54:27Z Journal Article https://hdl.handle.net/10568/164894 en Wiley Pede, Valerien O.; Areal, Francisco J.; Singbo, Alphonse; McKinley, Justin and Kajisa, Kei. 2018. Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines. Agricultural Economics, Volume 49 no. 3 p. 301-312 |
| spellingShingle | bayesian theory farmers irrigation philippines rainfed rice Pede, Valerien O. Areal, Francisco J. Singbo, Alphonse McKinley, Justin Kajisa, Kei Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines |
| title | Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines |
| title_full | Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines |
| title_fullStr | Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines |
| title_full_unstemmed | Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines |
| title_short | Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines |
| title_sort | spatial dependency and technical efficiency an application of a bayesian stochastic frontier model to irrigated and rainfed rice farmers in bohol philippines |
| topic | bayesian theory farmers irrigation philippines rainfed rice |
| url | https://hdl.handle.net/10568/164894 |
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