Factors Affecting Farmers’ Adoption of Agricultural Innovations: A Panel Data Analysis of the Use of Artificial Insemination among Dairy Farmers in Ireland

Peter Howley, Cathal O Donoghue, Kevin Heanue

Research output: Contribution to journalArticlepeer-review


The use of artificial insemination (AI) has been of enormous economic benefit for dairy farmers in many countries such as Ireland through the genetic improvement of their stock. Despite these benefits a significant proportion of dairy farmers continue to use natural mating over AI. Previous research has found that the cost of semen, the cost of insemination and success rate all affect the probability of farmers using AI. Using a nationally representative panel dataset, this paper examined if there were any farm or farmer characteristics that affected the probability of dairy farmers using AI. Modelling the farm factors driving the uptake of AI enables the understanding of the differences between various types of landowners which should in turn better equip policymakers to design policies and programs that efficiently promote good reproductive management. The results in this paper suggest that there is significant heterogeneity among farm households in relation to the uptake of AI with both characteristics of the farmer as well as structural farm factors all found to significantly affect the probability of a farmer adopting this agricultural innovation.
Original languageEnglish
Pages (from-to)171-179
Number of pages9
JournalJournal of Agricultural Science (Toronto)
Issue number6
Early online date26 Apr 2012
Publication statusPublished - 2012

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