This paper estimates the farm level impact of producer organizations’ (PO) membership in Slovakia and the effectiveness of support provided to POs under the EU Rural Development Programme (RDP). The study employ the Propensity Score Matching and Difference in Differences econometric approach on a database of large Slovak commercial farms for 2006 and 2015. First, our results show that belonging to a PO improves the economic performance of farms in Slovakia.
The concept of inclusive business has gained a central place in development policy and practice. that the underlying premise is that by making small scale farmers part of their business model, companies can increase their profitability and at the same time contribute to farmers’ livelihoods. Despite a wealth of positive anecdotal evidence, it remains unclear whether and how a company can do this. This paper examines how agri-business should become (more) inclusive in contributing to food security.
The interactions between bottom-up initiatives and top-down structures in the implementation of regional development policies and projects are complex in theoretical and practical terms. Using concepts such as transformative social innovation, adaptive governance, and bridging institutions, we developed an analytical framework to enhance understanding of the processes by which local top-down and bottom-up forces enhance sustainable rural development by co-developing bottom-linked governance.
This editorial paper brings together different streams of research providing novel perspectives on co-design and co-innovation in agriculture, including methods, tools and organizations.
Communities of Practice (CoPs) are a promising concept for transdisciplinary knowledge co-creation in sustainable agricultural development, but empirical evidence from the farmers’ viewpoint is scarce. This paper contributes to empirical insights on the knowledge creation in CoPs as valued by farmers. Using concepts from CoP theory (domain, community, and practice) and the value creation framework (VCF) developed by Wenger et al. (Promoting and assessing value creation in communities and networks: a conceptual framework.
Innovation intermediaries are individuals and organisations that enhance connectivity amongst constituencies of national, sectoral, and regional systems of innovation, thereby facilitating knowledge spillover. This paper articulates the whole picture of Indonesia's agricultural innovation system, with a special focus on how different innovation intermediaries play different roles in technology transfer and knowledge dissemination.
The usual linear top-down approach of the innovation process has been transformed into an 'ecological vision' in which regions make up the appropriate scale for the elaboration of agricultural innovation systems (AIS). Interfaces such as institutional arrangements have been created in industrial countries. However, there is still a lack of interaction among parties involved in innovation for the agricultural sector, especially in the outermost regions and in developing countries.
Agricultural Innovation Systems (AIS) approach, arise as tool for better understanding dynamics and complexity of agricultural innovation. The objective of this article is present a framework for AIS capability development, taking as a scientific reference, emerging economy countries experiences. A multi-dimensional methodology of literature review and content analysis is implemented, supported in bibliometric and data mining techniques.
This paper examines the AIS sector in Egypt. Study the basic components of AIS in Egypt and the Requirements of fostering the AIS of Egypt including the promotiong of Public Private Partnerships, an Economic Sustainable Reform Agenda, Propagation and Diffusion of Knowledge, Pluraristic Investments, ICT infrastructure and Investments for an Enabling Environment
This paper was presented in th 20th European Seminar for Extension Education
Synergy among the various components of national agricultural innovation systems (AISs) promotes agricultural development. This paper investigated the innovation synergy among the various innovation elements of national AISs. First, the authors developed a synergy analysis model consisting of three innovation variables (innovation allocation, innovation output, and innovation potentiality) and one control variable (government policy supports).