6pgs, A nationwide study was undertaken in China to understand why public interest has shifted away from agriculture and to discuss approaches that may help restore interest and support for agriculture. The study collected 2586 questionnaires from 242 cities in 31 provinces in mainland China. The results suggest that agriculture is still of public interest, but interest has shifted from traditional farming to the consumer perspective in food safety, nutrition and health, food security and agricultural history. Two groups in this study, the younger generation and those with college degrees, show less interest in production agriculture. The accelerating shift in population from rural China to urban areas explains why these two groups are less connected with agricultural issues. The authors contend that it is critically important to keep the urban population knowledgeable of the importance of agriculture and suggest ways to improve communication and support from this educated, city-dweller point of view in order to ensure a stable and secure future. The approach of science appreciation (ways to effectively communicate science to general publics) is proposed to effectively gain renewed interest and engagement with the public in the science of agriculture in order to optimize the needs and benefits from agriculture to society.
16 pages., via online journal, The sustainable intensification of animal production systems is increasing as a consequence of increased demand for foods originating from animals. Production diseases are particularly endemic in intensive production systems, and can negatively impact upon farm animal welfare. There is an increasing need to develop policies regarding animal production diseases, sustainable intensification, and animal welfare which incorporate consumer priorities as well as technical assessments of farm animal welfare. Consumers and/or citizens may have concerns about intensive production systems, and whether animal production disease represent a barrier to consumer acceptance of their increased use. There is a considerable body of research focused on consumer willingness-to-pay (WTP) for improved animal welfare. It is not clear how this relates specifically to a preference for reduced animal production disease incidence in animal production systems. A systematic review and meta-analysis were conducted to establish the publics’ WTP for farm animal welfare, with a focus on production diseases which arise in intensive systems. Systematic review methodology combined with data synthesis was applied to integrate existing knowledge regarding consumer WTP for animal welfare, and reduced incidence of animal production diseases. Multiple databases were searched to identify relevant studies. A screening process, using a set of pre-determined inclusion criteria, identified 54 studies, with the strength of evidence and uncertainty for each study being assessed. A random effects meta-analysis was used to explore heterogeneity in relation to a number of factors, with a cumulative meta-analysis conducted to establish changes in WTP over time. The results indicated a small, positive WTP (0.63 standard deviations) for farm animal welfare varying in relation to a number of factors including animal type and region. Socio-demographic characteristics explained the most variation in the data. An evidence gap was highlighted in relation to reduced WTP for specific production diseases associated with the intensification of production, with only 4 of the 54 studies identified being related to this. A combination of market and government based policy solutions appears to be the best solution for improving farm animal welfare standards in the future, enabling the diverse public preferences to be taken into consideration.
27 pages, Precision agriculture, which has existed for over four decades, ensures efficient use of agricultural resources for increased productivity and sustainability with the use of technology. Due to the lingering perception that the adoption of precision agriculture has been slow, this study examines public thoughts on the practice of precision agriculture by employing social media analytics. A machine learning-based social media analytics tool—trained to identify and classify posts using lexicons, emoticons, and emojis—was used to capture sentiments and emotions of social media users towards precision agriculture. The study also validated the drivers and challenges of precision agriculture by comparing extant literature with social media data. By mining online data from January 2010 to December 2019, this research captured over 40,000 posts discussing a myriad of concerns related to the practice. An analysis of these posts uncovered joy as the most predominant emotion, also reflected the prevalence of positive sentiments. Robust regulatory and institutional policies that promote both national and international agenda for PA adoption, and the potential of agricultural technology adoption to result in net-positive job creation were identified as the most prevalent drivers. On the other hand, the cost and complexity of currently available technologies, as well as the need for proper data security and privacy were the most common challenges present in social media dialogue.
Allen, John C. (author), Cordes, Sam (author), Smith, Amy M. (author), Spilker, Matt (author), Hamilton, Amber (author), and The Center for Rural Community Revitalization and Development
Format:
Research report
Publication Date:
2002-07
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C29239
Notes:
Posted online at http://digitalcommons.unl.edu/caripubs/37/
35pgs, The idea that citizens' support for environmental policies depends on their economic interest and the community that one lives in, has been debated extensively in the environmental attitudes literature. However, this literature has not differentiated between separate policy dimensions that concern measures that affect specific groups in different ways. This paper differentiates between a nature/agriculture dimension that divides those who prioritize the agrarian interest from those who prioritize the protection of nature and a climate/energy dimension that divides those who prioritize industrial interest from those who prioritize fighting climate change, using a new survey in the Netherlands (N = 11,327). This two-dimensional model meets three criteria: scalability, validity, and utility. Scalability is shown by factor analysis and Mokken scaling. Validity is shown by regression analyses that show that whether one lives in a rural or an urban community predicts one's position on the nature/agriculture dimension and that one's financial security predicts one's position on the climate/energy dimension. The utility is shown by regression analyses where the two dimensions are used to predict voting behavior. The Green Party voters favor nature and climate protection, the Liberal Party voters have the opposite views, the Christian-Democrats favor agricultural interests and the Freedom Party favor industrial interests.