This paper, presented at the 12th European IFSA Symposium (Workshop: "Generating spaces for innovation in agricultural and rural development") in 2016, aims to summarise the main features of the AgriSpin project. The project is being financed by the Horizon 2020 research program of the European Commission aiming at contributing to system-oriented innovation research in agriculture and as complementary to the policy instrument EIP AGRI. The idea behind EIP AGRI is that innovation emerges from interaction between stakeholders.
The Worldwide Extension Study provides empirical data on the human and financial resources of agricultural extension and advisory systems worldwide, as well as other important information on: the primary extension service providers in each country (e.g.: public, private and/or non-governmental); which types and groups of farmers are the primary target groups (e.g.: large, medium, and/or small-scale farmers, including rural women) for each extension organization; how each organization’s resources are allocated to key extension and advisory service functions; each organization’s information a
Unlike in many other countries, in Bulgaria there are no comprehensive analysis of the state and evolution of the system of knowledge sharing, innovation and digitalization in agriculture (AKIS). The goal of this paper is to fill the gap and analyze the state, efficiency and factors of the agricultural knowledge sharing, innovation and digitalization in Bulgaria at current stage of development.
This study presents a framework of climate smart agriculture (CSA) priority setting methodology for identifying and developing portfolios of options based on local stakeholders' responses to CSA technologies. The methodology uses a participatory prioritization framework which is widely used in the development sector This study has modified the existing participatory framework to indicator based prioritization of CSA technologies.
The challenges faced by agricultural systems call for an advance in risk management (RM) assessments. This research identifies and discusses potential improvements to RM across 11 European Union (EU) farming systems (FS). The paper proposes a comprehensive, participatory approach that accounts for multi-stakeholder perspectives relying on 11 focus groups for brainstorming and gathering suggestions to improve RM.
The paper aims at finding out how significantly stakeholders are consulted and involved by preparers, Ukrainian publicly-listed agricultural companies, while compiling sustainability reporting (SR) and by assurance providers, during assurance processes of SR. The paper’s main research question may be formulated as follows ‘How deeply stakeholders are involved at Ukrainian agricultural companies in the preparation of their sustainability reporting and assurance?’
Timely availability of reliable information on weather conditions, agro-advisories, and market information can help to minimize losses in agriculture. This paper presents a scientific and integrated approach to identify areas of high agriculture vulnerability to climate change and availability of ICT services for dissemination of Climate Smart Agriculture (CSA) information in the vulnerable areas. This study was illustrated for India where the majority of the population depends on agriculture for their livelihoods, and this sector is highly vulnerable to climate change.
According to transition science, system innovation requires experimentation and social learning to explore the potential of innovations for sustainable development. However, the transition science literature does not elaborate much on the learning processes involved. Senge's Field of Change provides a more detailed approach to the role of learning and action in innovation. We linked the Field of Change to transition management literature in order to explore social learning in an agricultural innovation experiment in the Netherlands called the ‘New Mixed Farm’.
Social farming (SF) has emerged as a social innovation practice shaping heterogeneous approaches and results. This study discusses the complexity of SF policy and practices, and it is led by the main hypothesis that the relationship between agricultural and social dimensions might be very heterogeneous, not only in different national contexts but also within the same national and local level. SF policy and practices are investigated testing the hypothesis of three main different modalities of interaction according to how the social and the agricultural perspectives interact.
Smartphone technology is promising for the future development of agriculture, as it can facilitate and improve many operational procedures and can also be combined with precision agriculture technologies. Yet, existing research on smartphone adoption in agriculture is scarce. Therefore, this paper empirically explores the factors influencing smartphone adoption by German farmers. The relationship between farmers, farm characteristics and smartphone adoption was analysed using a binomial logit model.