14 pages., via online journal., Issue arenas, as places for societal discussions, have recently been studied as an important aspect of organizational environments. While a fundamental part of any issue arena is the distinction between active and passive actors, empirical analyses have mainly focused on active stakeholders. We approach issue arenas as communication networks in which active stakeholders discuss topics and involve passive stakeholders. Based on network theory, we introduce an automated method for mapping these issue arenas on Twitter. In particular, we combine manual coding of active stakeholders, and automated semantic network analysis of addressed, passive stakeholders and their topics of discussion. Empirically, we focus on the issue of bird flu affecting poultry farming in the Netherlands from 2015 to 2017 with a sample of 704 Twitter messages. Instead of pre-defining a set of stakeholders for the analysis, our approach to study communication networks in online settings allows for mapping issue arenas based on the stakeholders that communicate about the topic.
8 pages., ISBN 978-3-319-92102-0, Via ebook, The idea underpinning EIP-AGRI for linking producers and users of knowledge and promoting their interaction around problem-solving is well grounded on the evidence provided by the ‘innovation systems’ and related literature. Evidence gaps that matter to the implementation of the EIP-AGRI activities comprise the lack of knowledge regarding the best-fit network configuration for different farming systems and farming styles, and the nature and effectiveness of a facilitator function and role to bridge communication between researchers and farmers. This paper contributes with empirical evidence regarding the networks configuration best-fit for different farming system and farming styles, and provide insights on the facilitator relevance and its desirable profile, built on the study of a particular network: the Portuguese Cluster of small fruits (CSF). The small fruit sector is a novel sector in Portugal that has attracted in recent years a large number of new investors, in particular newly-established small-scale inexperienced producers. The insights provided by the CSF analysis emphasises that agglomeration economies based networks, which are very important in some agricultural sectors (e.g. fruit, wine) and in countries or regions where small-scale farms are significant, can in fact be the ground for knowledge and innovation networks in the sense wanted by the EIP-AGRI, since inclusiveness and facilitation functions are accounted for properly.
Hapsari, H. (author), Hapsari, D. (author), Karyani, T. (author), and Fatimah, S. (author)
Format:
Conference paper
Publication Date:
2019
Published:
IOP Publishing Ltd
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 102 Document Number: D10909
Journal Title Details:
306
Notes:
10 pages., IOP Conference Series: Earth and Environmental Science, via IOPScience website., Climate change is a threat to indigenous farming systems that rely on nature. Indigenous society has idiosyncrasies in managing agricultural systems that relate to nature. This study aims to examine the adaptation mechanism of indigenous farming systems to climate change in terms of social, economic, and technological aspects. The study was conducted in Indigenous Village of Kasepuhan Ciptagelar of Sukabumi Regency West Java. The research method is case study. The technique of collecting data through in-depth interviews with selected informants, participant observation, and focus group discussion (FGD). The results showed that the indigenous society of Kasepuhan Ciptagelar experienced the changes that occur in the environment as a result of climate change. Strategies to adapt to these changes, among others: (1) use natural resources in a sustainable manner, (2) preserve the customary positive impact on the environment, (3) do a crop rotation system, (4) managing the communal granary community food security system, (5) maintaining social values in the society, (6) establish cooperation with the agricultural institutions; (7) utilizing communication networks and information systems; (8) with some help from external parties in the repair of facilities and infrastructure, such as transportation and irrigation; (9) perform the processing of non-rice farming profit-oriented, and (10) instilling the values of local wisdom to the younger generation from an early age.
16 pages., via online journal., To date, little is known about how information flows within farmer groups and how extension interventions could be designed to deliver combined information on agriculture and nutrition. This study uses unique network data from 815 farm households in Kenya to investigate the structure and characteristics of agricultural and nutrition information networks within farmer groups. Dyadic regressions are used to analyze the factors influencing link formation for the exchange of agricultural and nutrition information. In addition, we apply fixed‐effects models to identify the characteristics of central persons driving information exchange in the two networks, as well as potentially isolated persons, who are excluded from information networks within their farmer groups. Our results show that nutrition information is exchanged within farmer groups, although to a limited extent, and mostly flows through the existing agricultural information links. Thus, diffusing nutrition information through agricultural extension systems may be a viable approach. Our findings further suggest that group leaders and persons living in central locations are important drivers in the diffusion of information in both networks and may thus serve as suitable entry points for nutrition‐sensitive extension programs. However, we also identify important heterogeneities in network characteristics. In particular, nutrition information is less often exchanged between men and women, and some group members are completely isolated from nutrition information exchange within their farmer groups. We derive recommendations on taking these differences in network structure and characteristics into account when designing nutrition‐sensitive extension programs.
