Factors underlying farmers' intentions to adopt best practices: The case of paddock based grazing systems

Factors underlying farmers' intentions to adopt best practices: The case of paddock based grazing... The Irish beef sector is expected to increase output as part of the most recent national agriculture strategy. General improvements in pasture production efficiency can be achieved by increasing grass utilisation. However, Irish beef production is primarily based on extensive pastoral grazing with low uptake of best management practices among farmers. An important step in facilitating innovation in the sector is to gain improved understanding of the innovative behaviour of farmers. Hence, this study uses psychological constructs to analyse factors that affect the adoption of paddock based grazing systems by Irish beef farmers (n = 382). Farmers were surveyed from different regions within Ireland and Principal Component Analysis used to empirically confirm the hypothesised Theory of Planned Behaviour (TPB) constructs. Cluster analysis was thereafter employed as classification criteria to cluster respondents into types. The TPB was subsequently applied to explain intention to implement the grazing practice. Three clusters of farmers were elicited based on their beliefs of paddock based grazing systems and labelled The Engaged, The Restricted, and The Partially Engaged. The Restricted cluster was particularly unlikely to uptake the grazing practice as they perceived they lacked the required resources to implement the innovation. This was of particular relevance as the practice can be implemented with relatively few resources and therefore signals a knowledge gap. The findings are relevant to policy as they provide insights on the factors influencing the process of targeting knowledge transfer through appropriate channels which can help build potential drivers for behavioural change. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agricultural Systems Elsevier

Factors underlying farmers' intentions to adopt best practices: The case of paddock based grazing systems

Loading next page...
 
/lp/elsevier/factors-underlying-farmers-intentions-to-adopt-best-practices-the-case-EpGv6lkLpg
Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0308-521x
D.O.I.
10.1016/j.agsy.2018.01.023
Publisher site
See Article on Publisher Site

Abstract

The Irish beef sector is expected to increase output as part of the most recent national agriculture strategy. General improvements in pasture production efficiency can be achieved by increasing grass utilisation. However, Irish beef production is primarily based on extensive pastoral grazing with low uptake of best management practices among farmers. An important step in facilitating innovation in the sector is to gain improved understanding of the innovative behaviour of farmers. Hence, this study uses psychological constructs to analyse factors that affect the adoption of paddock based grazing systems by Irish beef farmers (n = 382). Farmers were surveyed from different regions within Ireland and Principal Component Analysis used to empirically confirm the hypothesised Theory of Planned Behaviour (TPB) constructs. Cluster analysis was thereafter employed as classification criteria to cluster respondents into types. The TPB was subsequently applied to explain intention to implement the grazing practice. Three clusters of farmers were elicited based on their beliefs of paddock based grazing systems and labelled The Engaged, The Restricted, and The Partially Engaged. The Restricted cluster was particularly unlikely to uptake the grazing practice as they perceived they lacked the required resources to implement the innovation. This was of particular relevance as the practice can be implemented with relatively few resources and therefore signals a knowledge gap. The findings are relevant to policy as they provide insights on the factors influencing the process of targeting knowledge transfer through appropriate channels which can help build potential drivers for behavioural change.

Journal

Agricultural SystemsElsevier

Published: May 1, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches

$49/month

Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.

$588

$360/year

billed annually
Start Free Trial

14-day Free Trial