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

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

Research output: Contribution to journalArticlepeer-review

36 Scopus citations


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 languageEnglish
Pages (from-to)810-835
Number of pages26
JournalEuropean Review of Agricultural Economics
Issue number5
StatePublished - Dec 1 2017


  • Bayesian spatial probit
  • Spatial econometrics
  • Sustainable technology adoption


Dive into the research topics of 'Sustainable technology adoption: A spatial analysis of the Irish Dairy Sector'. Together they form a unique fingerprint.

Cite this