Sustainable technology adoption: A spatial analysis of the Irish Dairy Sector

Doris Läpple; Garth Holloway; Donald J. Lacombe; Cathal O'Donoghue

doi:10.1093/erae/jbx015

Sustainable technology adoption: A spatial analysis of the Irish Dairy Sector

Doris Läpple, Garth Holloway, Donald J. Lacombe, Cathal O'Donoghue

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36 Scopus citations

Abstract

This article explores spatial effects in the adoption of sustainable technologies using Bayesian spatial probit models employing a representative sample of Irish dairy farms. We consider global and local spatial effects, and overcome a missing neighbour problem by implementing census data in our spatial weight matrix. The findings reveal that spatial effects spill over to neighbours and better educated farmers with larger more intensively managed farms being more likely to adopt. The article concludes with policy recommendations that arise from our spatial analysis.

Original language	English
Pages (from-to)	810-835
Number of pages	26
Journal	European Review of Agricultural Economics
Volume	44
Issue number	5
DOIs	https://doi.org/10.1093/erae/jbx015
State	Published - Dec 1 2017

Keywords

Bayesian spatial probit
Spatial econometrics
Sustainable technology adoption

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10.1093/erae/jbx015

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title = "Sustainable technology adoption: A spatial analysis of the Irish Dairy Sector",

abstract = "This article explores spatial effects in the adoption of sustainable technologies using Bayesian spatial probit models employing a representative sample of Irish dairy farms. We consider global and local spatial effects, and overcome a missing neighbour problem by implementing census data in our spatial weight matrix. The findings reveal that spatial effects spill over to neighbours and better educated farmers with larger more intensively managed farms being more likely to adopt. The article concludes with policy recommendations that arise from our spatial analysis.",

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author = "Doris L{\"a}pple and Garth Holloway and Lacombe, {Donald J.} and Cathal O'Donoghue",

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AU - O'Donoghue, Cathal

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N2 - This article explores spatial effects in the adoption of sustainable technologies using Bayesian spatial probit models employing a representative sample of Irish dairy farms. We consider global and local spatial effects, and overcome a missing neighbour problem by implementing census data in our spatial weight matrix. The findings reveal that spatial effects spill over to neighbours and better educated farmers with larger more intensively managed farms being more likely to adopt. The article concludes with policy recommendations that arise from our spatial analysis.

AB - This article explores spatial effects in the adoption of sustainable technologies using Bayesian spatial probit models employing a representative sample of Irish dairy farms. We consider global and local spatial effects, and overcome a missing neighbour problem by implementing census data in our spatial weight matrix. The findings reveal that spatial effects spill over to neighbours and better educated farmers with larger more intensively managed farms being more likely to adopt. The article concludes with policy recommendations that arise from our spatial analysis.

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Sustainable technology adoption: A spatial analysis of the Irish Dairy Sector

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Keywords

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