Amelung, Dorothee (author), Fischer, Helen (author), Kruse, Lenelis (author), Sauerborn, Rainer (author), and Department of Psychology, Heidelberg University, Heidelberg, Germany
Climate Change and Health Working Group, Institue of Public Health, Heidelberg University, Heidelberg, Germany
Claremont Graduate University, USA
Format:
Journal article
Publication Date:
2016-08-31
Published:
Switzerland: Frontiers Media
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 164 Document Number: D08300
12 pages., via online journal., Effective communication of risks involved in the climate change discussion is crucial and despite ambitious protection policies, the possibility of irreversible consequences actually occurring can only be diminished but never ruled out completely. We present a laboratory experiment that studies how residual risk of failure of climate change policies affects willingness to contribute to such policies. Despite prevailing views on people’s risk aversion, we found that contributions were higher at least in the final part of treatments including a residual risk. We interpret this as the product of a psychological process where residual risk puts participants into an ”alarm mode,” keeping their contributions high. We discuss the broad practical implications this might have on the real-world communication of climate change.
22 pages., In Tanzania, agriculture sector is known for employing more than 70% of the total population. Agriculture sector faces many challenges including climate change. Climate change causes low productivity in agriculture; low productivity is caused due to poor implementation of agricultural policies and strategies. This poor implementation of policies has also caused many farmers to be not competent in climate change adaptation. Over the years, provisions of agricultural advice and extension were provided by various approaches, including training and visit extension, participatory approaches, and farmers’ field schools. However, provision of agricultural advisory and extension service is inefficient. Also, in most cases the usage of most agricultural innovations and technologies developed is limited. A literature review indicates that the main reasons given by Tanzanian farmers for not using improved technology are not lack of knowledge or skill, but rather that the technologies do not contribute towards improvements (e.g., the technologies are not profitable or they imply to high risk). Thus, agricultural extension service needs to be geared towards teaching farmers how to develop innovative and cost effective technologies that are contextualized. Limited numbers of agricultural extension staff and less interactivity of Information and Communication Technologies (ICTs), such as radio and television, have been mentioned to be among the factors limiting the provision of agricultural advisory and extension services to the majority of farmers in Tanzania. The advancements in ICTs have brought new opportunities for enhancing access to agricultural advisory and extension service for climate change adaptation. In Tanzania, farmers and other actors access agricultural information from various sources such as agricultural extension workers and use of various databases from Internet Services Providers. Also there are different web – and mobile – based farmers’ advisory information systems to support conventional agricultural extension service. These systems are producing bulk amounts of data which makes it difficult for different stakeholders to make an informed decision after data analysis. This calls for the need to develop a tool for data visualization in order to understand hidden patterns from massive data. In this study, a semi-automated text classification was developed to determine the frequently asked keywords from a web and mobile based farmers’ advisory system called UshauriKilimo after being in use for more than 2 years by more than 700 farmers.
Arunrat, Noppol (author), Wang, Can (author), Pumijumnong, Nathsuda (author), Sereenonchai, Sukanya (author), Cai, Wenjia (author), and State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing, China
Faculty of Environment and Resource Studies, Mahidol University, Nakhon Pathom, Thailand
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
Institute of Communication Studies (ICS), Communication University of China, Dingfuzhuang East Street, Chaoyang District, Beijing, China
Format:
Journal article
Publication Date:
2017-02-01
Published:
Thailand: Elsevier Ltd.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 163 Document Number: D08153
