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Towards predicting rates of adoption and compliance in farming: motivation, complexity and stickiness

TR 2017/05
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Report: TR 2017/05

Author: Dr Geoff Kaine & Dr Vic Wright (Geoff Kaine Research)

About this report

Predicting the extent and rate of adoption by farmers of agricultural innovations is central to assessing the benefits to be had from research, marketing and extension programmes. It is also crucial to assessing if farmers may resist policies compelling the adoption, or abandonment, of particular agricultural technologies and practices.

In this paper we describe an approach to predicting rates of adoption and compliance with respect to the agricultural technologies and practices. The 4 approach draws on the dual-process model of consumer decision-making and a method for classifying innovations in farm systems. 

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Towards predicting rates of adoption and compliance in farming: motivation, complexity and stickiness [PDF, 377 KB]

Contents
Introduction 3
The Dual-Process model of adoption 5
Types of agricultural innovations 10
Discussion 18
Conclusion 23
References 24