18 pages., via online journal, The aim of this paper is to investigate the perceptions of small-scale farmers in Brazil towards genetically modified (GM) crops based on a sample of 15 focus groups involving 111 individuals. The analysis of the corpus shows heterogeneous perceptions regarding these crops, shaped by diverse factors, including economic prospects and concerns with the impact on health and the environment. There are many misgivings about these effects among the farmers, who are keen to receive unbiased information on the topic. These uncertainties affect them more as consumers, as most would prefer eating GM-free food, than as producers, as they consider other aspects, especially economic feasibility, when deciding what to grow. Although most farmers believe they should have a voice in decision-making on agricultural issues, few have made concerted efforts to be heard.
Banks, Ken (author) and Kreutz, Christian (author)
Format:
Article
Publication Date:
2008
Published:
Cambodia
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C29019
Notes:
Posted at http://www.crisscrossed.net/wp-content/uploads/2009/1/the-participatory-web.pdf, Pages 30-33 in Annamarie Matthess and Christian Kreutz, Participatory web - new potentials of ICT in rural areas, Deutsche Gesellschaft fur Technische, Zusammenarbeit (GTZ) GmbH, Eschborn, Germany. 41 pages.
Benavidez, Justin R. (author), Ribera, Luis A. (author), and Thayer, Anastasia (author)
Format:
Paper
Publication Date:
2020
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 201 Document Number: D11717
Notes:
Paper presented at the 2020 Agricultural and Applied Economics Association Annual Meeting, Kansas City, Missouri, July 26-28, 2020. 20 pages., Authors assessed the impact of tweets by U.S. President Donald Trump on agricultural commodity prices during the trade war with China. Results indicated tht days with high counts of tweets with keywords associated with the 2018-2019 trade war led to statistically significant structural breaks in the price series for hogs, corn, cotton, and soybeans.
