Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines

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dc.creatorPede, Valerien O.
dc.creatorAreal, Francisco J.
dc.creatorSingbo, Alphonse
dc.creatorMcKinley, Justin
dc.creatorKajisa, Kei
dc.date2018-05
dc.date2024-12-19T12:54:27Z
dc.date2024-12-19T12:54:27Z
dc.date.accessioned2026-06-27T04:11:49Z
dc.descriptionWe 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.
dc.identifierhttps://hdl.handle.net/10568/164894
dc.identifier.urihttp://hdl.handle.net/123456789/24736
dc.languageen
dc.publisherWiley
dc.sourcePede, V.O., Areal, F.J., Singbo, A., McKinley, J. and Kajisa, K. 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
dc.subjectbayesian theory
dc.subjectfarmers
dc.subjectirrigation
dc.subjectphilippines
dc.subjectrainfed rice
dc.titleSpatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)