17 pages, via online journal, The greatest challenge now facing agricultural science is not how to increase production overall but how to enable resource-poor farmers to produce more.
The transfer-of-technology (TOT) model of agricultural research is part of the normal professionalism of agricultural scientists. In this model, scientists largely determine research priorities, develop technologies in controlled conditions, and then hand them over to agricultural extension to transfer to farmers. Although strong structures and incentives sustain this normal professionalism, many now recognise the challenge of its bad fit with the needs and conditions of hundreds of millions of resource-poor farm (RPF) families. In response to this problem, the TOT model has been adapted and extended through multi-disciplinary farming systems research (FSR) and on-farm trials. These responses retain power in the hands of scientists. Information is obtained from farmers and processed and analysed in order to identify what might be good for them. A missing element is methods to encourage and enable resource-poor farmers themselves to meet and work out what they need and want.
Goldberg, Matthew H. (author), Van der Linden, Sander (author), Ballew, Matthew T. (author), Rosenthal, Seth A. (author), Gustafson, Abel (author), Leiserowitz, Anthony (author), and Yale University
University of Cambridge
Format:
Online journal article
Publication Date:
2019-10-01
Published:
United States: SAGE Journals
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 121 Document Number: D11064
14 pages, via online journal, Research on the gateway belief model indicates that communicating the scientific consensus on global warming acts as a “gateway” to other beliefs and support for action. We test whether a video conveying the scientific consensus on global warming is more effective than a text transcript with the same information. Results show that the video was significantly more effective than the transcript in increasing people’s perception of scientific agreement. Structural equation models indicate indirect increases in the beliefs that global warming is happening and is human-caused, and in worry about global warming, which in turn predict increased global warming issue priority.
