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Lookup NU author(s): Dr Francisco ArealORCiD
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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.
Author(s): Pede V, Areal FJ, Alphonse S, Mckinley JD
Publication type: Article
Publication status: Published
Journal: Agricultural Economics
Year: 2018
Volume: 49
Issue: 3
Pages: 301-312
Print publication date: 01/05/2018
Online publication date: 08/03/2018
Acceptance date: 02/11/2017
ISSN (print): 0169-5150
ISSN (electronic): 1574-0862
Publisher: Wiley-Blackwell Publishing, Inc.
URL: https://doi.org/10.1111/agec.12417
DOI: 10.1111/agec.12417
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