Environmental innovation adoption: The role of environmental policy, agricultural education and advisory services

Environmental sustainability is a policy priority in Irish agriculture, with farmers adopting various innovations to mitigate agriculture's negative environmental impact. Understanding the factors that drive environmental innovation adoption across farm systems is critical for system-specific policy design. However, research examining these factors across Ireland's diverse livestock systems remains limited, particularly for cattle and sheep farms, whilst the application of panel data analysis across these farm systems is underexplored. Using innovation system theory, this paper investigates how environmental policy mechanisms (nitrate derogation and the agri-environment scheme), agricultural education, and advisory services influence environmental innovation adoption across Ireland's three major livestock systems: cattle, sheep, and dairy. The paper examines specific innovations including spring slurry application, liming and reseeding of farmlands, protected urea fertiliser use, and low-emission slurry spreading (LESS) technology. The analysis employs a seven-year panel dataset (2017–2023) from the Teagasc National Farm Survey (NFS). Random effects probit models reveal that agricultural education had a significant positive effect on the adoption of most innovations across all farm systems throughout the study period. However, policy mechanisms (particularly the agri-environment scheme) and advisory services have limited influence on innovation adoption across systems. The dairy-specific derogation policy had a significant positive effect on liming and low-emission slurry spreading (LESS) technology adoption. These findings highlight the importance of investing in agricultural education to improve farmer innovation uptake and point towards targeted policies such as the nitrate derogation as an effective policy mechanism for innovation adoption. • Across all farm systems, agricultural education drives adoption of most innovations. • Agri-environment scheme has limited influence on innovation adoption across the farm systems. • Derogation is an important contributor to innovation adoption in the dairy farm system. • Advisory services have limited influence on adoption of the innovations across the farm systems.

Authors

Institutions

Publication Details

Journal
Environmental and Sustainability Indicators
Published
2025-11-29
DOI
https://doi.org/10.1016/j.indic.2025.101064
Citations
1
Primary Topic
Sustainable Agricultural Systems Analysis
Type
article
Field-Weighted Citation Impact
0.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmental innovation adoption: The role of environmental policy, agricultural education and advisory services

Jason Loughrey, Frank Crowley, Geraldine Ryan, Justin Doran et al.
1 citations
Environmental and Sustainability Indicators
Sustainable Agricultural Systems Analysis
0.86
article

Environmental innovation adoption: The role of environmental policy, agricultural education and advisory services

Jason Loughrey, Frank Crowley, Geraldine Ryan, Justin Doran, Ernest Christlieb Amrago
article en
1 citations

Abstract

Environmental sustainability is a policy priority in Irish agriculture, with farmers adopting various innovations to mitigate agriculture's negative environmental impact. Understanding the factors that drive environmental innovation adoption across farm systems is critical for system-specific policy design. However, research examining these factors across Ireland's diverse livestock systems remains limited, particularly for cattle and sheep farms, whilst the application of panel data analysis across these farm systems is underexplored. Using innovation system theory, this paper investigates how environmental policy mechanisms (nitrate derogation and the agri-environment scheme), agricultural education, and advisory services influence environmental innovation adoption across Ireland's three major livestock systems: cattle, sheep, and dairy. The paper examines specific innovations including spring slurry application, liming and reseeding of farmlands, protected urea fertiliser use, and low-emission slurry spreading (LESS) technology. The analysis employs a seven-year panel dataset (2017–2023) from the Teagasc National Farm Survey (NFS). Random effects probit models reveal that agricultural education had a significant positive effect on the adoption of most innovations across all farm systems throughout the study period. However, policy mechanisms (particularly the agri-environment scheme) and advisory services have limited influence on innovation adoption across systems. The dairy-specific derogation policy had a significant positive effect on liming and low-emission slurry spreading (LESS) technology adoption. These findings highlight the importance of investing in agricultural education to improve farmer innovation uptake and point towards targeted policies such as the nitrate derogation as an effective policy mechanism for innovation adoption. • Across all farm systems, agricultural education drives adoption of most innovations. • Agri-environment scheme has limited influence on innovation adoption across the farm systems. • Derogation is an important contributor to innovation adoption in the dairy farm system. • Advisory services have limited influence on adoption of the innovations across the farm systems.

Environmental and Sustainability IndicatorsVol. 29
Teagasc - The Irish Agriculture and Food Development Authority (IE), University College Cork (IE), Agricultural & Applied Economics Association (US)
Openalex Percentile: Top 21%
Sustainable Agricultural Systems Analysis
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.