The quest for innovation lies at the heart of European rural development policy and is integral to the Europe 2020 strategy. While social innovation has become a cornerstone of increased competitiveness and the rural situation legitimizes public intervention to encourage innovation, the challenges of its effective evaluation are compounded by the higher ‘failure’ rate implied by many traditional performance measures.
The goal of this paper is to access the state, specify trends, compare with other EU states, and identify intervention needs of Agricultural Knowledge and Innovation System (AKIS) in Bulgaria, and assist policy formation for the next programing period. Modern scientific approaches of SWOT, Strategic Orientation, Gap Analysis, Comparative Institutional Analysis, etc. are used to identify actors and relations, trends in development, assess strengths, weaknesses, opportunities and threats, formulate adequate strategy, and specify overall and public intervention needs of AKIS in the country.
This flyer described the collaboration between FAO and Agrinatura and in particular two main areas of activities:
1) Joint implementation of the EU-funded Capacity Development for Agricultural Innovation Systems (CDAIS) project from 2015 to 2019, in eight countries: Angola, Bangladesh, Burkina Faso, Ethiopia, Guatemala, Honduras, Lao People’s Democratic Republic, Rwanda;
While education access has improved globally, gains are uneven, and development impacts driven by increases in education continue to be left on the table, especially in rural areas. Demand-driven extension and advisory services (EAS) – as a key institution educating rural people while providing agricultural advice and supplying inputs – have a critical role to play in bridging the education gap. This can help ensure that millions of young people successfully capitalise on opportunities in agriculture markets, as surveys in Rwanda and Uganda demonstrate.
The latest comprehensive research agenda in the Journal of Agricultural Education and Extension was published in 2012 (Faure, Desjeux, and Gasselin 2012), and since then there have been quite some developments in terms of biophysical, ecological, climatological, social, political and economic trends that impact farming and the transformation of agriculture and food systems at large as well as new potentially disruptive technologies.
The primary aim of this research was to examine the factors influencing behavioral intention of farmers to use ICTs for agricultural risk management. The past research reveals that many researchers had tried to determine factors affecting behavioural intentions of the respondents and TPB has been applied as technology acceptance model in various contexts. However, predicting behavioral intentions to use ICTs for agricultural risk management has not been evaluated from the actual field. Therefore, the data were collected from 360 farmers through multistage cluster sampling technique.
Agricultural transformation and development are critical to the livelihoods of more than a billion small-scale farmers and other rural people in developing countries. Extension and advisory services play an important role in such transformation and can assist farmers with advice and information, brokering and facilitating innovations and relationships, and dealing with risks and disasters.
The building of sustainable innovation capabilities in Africa requires an innovation system capable of producing, disseminating and using new knowledge. This paper assesses the process of constructing the National Innovation System (NIS) in Rwanda. It is posited that consensus on and acceptance of the concept of NIS among stakeholders is crucial in the early process of constructing an efficient and dynamic innovation system. Primary empirical data are presented for the case of Rwanda and analyzed in a regional context.
This paper calls for a better integration of place-based, evidence-based and inclusive dimensions in the implementation of the Science, Technology and Innovation (STI) plans and industrial policies in sub-Saharan Africa. To this end, the analysis contrasts with and takes inspiration from the recent and ongoing international experiences in the elaboration of Innovation Strategies for Smart Specialisation (S3).
The well-being of the rural population globally has been associated with the performance and resilience of the agriculture sector. The sector continually requires new needs-based knowledge and technologies. It has become necessary to empower the rural communities through a wider bottom-up system that directly addresses their needs. This paper explores the application of little-used Participatory Livelihood Analysis for the adoption and up-scaling of its use in the assessment of agricultural-extension-needs for disadvantaged rural communities.