Skip to main navigation Skip to search Skip to main content

An approach to Predicting Demand for an Agricultural Innovation

Goeff Kaine, Jim Lees, Victor Wright

Research output: Contribution to journalArticlepeer-review

Abstract

Historically research about diffusion has largely been focused on rates of adoption and explanations for them. This is a matter of secondary importance, arguably, to the question of the likely total level of adoption. In the case of agricultural innovations total adoption can be expected to be strongly correlated to the value attributed to the innovation by those producers for whom it is relevant. In this paper a model is presented which frames the components of the farm management context that substantially determine the valuation of innovations. This model has been developed over two decades of research into potential adoption.
Original languageEnglish
Pages (from-to)94-107
JournalAustralasian Agribusiness Review
Volume15
Issue numberPaper 7
Publication statusPublished - 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

Keywords

  • Applied Economics

Fingerprint

Dive into the research topics of 'An approach to Predicting Demand for an Agricultural Innovation'. Together they form a unique fingerprint.

Cite this