Regional agroecological systems are examples of complex adaptive systems, where sustainability is promoted by social networks that facilitate information sharing, cooperation, and connectivity among specialized components of the system. Much of the existing literature on social capital fails to recognize how networks support multiple social processes.
Public institutions involved in research that aims to strengthen the productivity, profitability and adaptiveness of industries face a multiplicity of challenges when managing for the emergence of cost effective solutions to problems. We reflect upon the learnings of a Government sponsored Visiting Fellow’s programme that we describe as a knowledge management (KM) intervention within Australia’s primary industries Research, Development and Extension (R, D and E) system.
Kenya has emerged as a frontrunner in information and communication technologies (ICT) in Sub-Saharan Africa. The government has been actively supporting the ICT sector as one of the key drivers of economic growth. In addition to large international firms that are setting up offices in Nairobi, such as Nokia, IBM and Google, local start-ups have also been expanding rapidly.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
Market access determines the income of agricultural households and incentivizes the cultivation of diverse crops. Markets in India are mostly unorganized with limited infrastructure limiting their ability to cater to quality requirements and specifications demanded by urban consumers. Therefore, parallel to traditional markets, direct linkages with farms and alternative markets based on electronic sales platforms, new commodity futures and warehousing systems are needed.
Proven that the adoption rate of a new product is influenced by the network characteristics of the early adopters, the aim of this paper is to find the network features of the early adopters associated with high adoption rates of a specific new practice: the use of biodegradable mulching films containing soluble bio-based substances derived from municipal solid wastes. The study simulated the diffusion process by means of an agent-based model calibrated on real-world data.
This chapter assesses the potential of farmer-to-farmer extension (F2FE) as a low-cost approach for promoting CSA. It is based on surveys of extension program managers and farmer-trainers in Cameroon, Kenya and Malawi who are involved in promoting a wide range of agricultural practices, including CSA. In the F2FE approach, extension programs provide education for farmer-trainers, who in turn educate other farmers, typically 17–37 per year. Extension program managers find this approach to be effective in boosting their ability to reach large numbers of farmers.
This book presents feedback from the ‘Territorial Agroecological Transition in Action’- TATA-BOX research project, which was devoted to these specific issues. The multidisciplinary and multi-organisation research team steered a four-year action-research process in two territories of France.
This book presents:
In this paper is presented a novel approach to elicit stakeholder visions of future desired land use, which was applied with a broad range of experts to develop cross-sectoral visions in Europe. The approach is based on (i) combination of software tools and facilitation techniques to stimulate engagement and creativity; (ii) methodical selection of stakeholders; (iii) use of land attributes to deconstruct the multifaceted sectoral visions into land-use changes that can be clustered into few cross-sectoral visions, and (iv) a rigorous iterative process.
The objective of this paper is to review both supply- and demand-side measures for climate-smart agriculture and discuss their interlinkages, trade-offs, and context- and site-specific validity. The literature reviewed focuses on studies during the last decade (2008–2017) addressing food- and feed-related measures. Based on the literature review, potentials for different measures are identified and mapped across the globe using representative datasets.