This brief summarizes a report on the first large survey of maize traders in Nigeria in the past several decades. The sample of about 1400 traders covered one state in the South and four in the North, with traders in city wholesale markets in the North (Jos, Kaduna, Kano, Katsina) and South (Ibadan) and regional markets in secondary cities in the North.

Extant research shows that universities do not usually foster an inclusive innovation system. This paper examines an innovation program at Zhejiang University that targeted rural areas in China, and that sought to promote an inclusive innovation system.

This paper reportson the implementation of a conceptual framework to carry out an impact evaluation of multi-stakeholder innovation systems using the NLA as the object of study. The assessment focused on the business relationship constructs of trust and capacity development. Survey interviews, in-depth interviews and focus group discussions collected data from agribusiness stakeholders linked with the NLA and from a control group of stakeholders involved with other networks. The quantitative data were analysed through factor and regression analyses

This policy brief reports on a recent study, implemented by RUAF Foundation and supported by the Food & Business Knowledge Platform (F&BKP) and the CGIAR Water, Land and Ecosystems Research Program (WLE/ IWMI), on the role of the private sector in building more sustainable and resilient city region food systems

In the paper, is presented the opinion of the main stakeholders to the Innovation potential of the Institute of Agricultural Economics and Information (IAEI) as a significant actor in the AKIS. In the paper, is also defined the innovation potential of the IAEI as the ability to create, execute or provide the innovation and crucial information to the Czech AKIS. In order to mapping the current position and the innovation potential of the IAEI, were used desk research and semi-structured interviews

This chapter aims to shed light on the broad debate surrounding when and why farmers adopt agricultural innovations, especially in the context of multi-stakeholder platforms (MSP) seeking to scale climate-smart agriculture (CSA) practices. No research has yet tested the hypothesis that farmer entrepreneurship—defined as the innovative use of agricultural resources to create opportunities for value creation—may facilitate the adoption of CSA practices. This study is intended to fill that information gap.

The study focuses on how levels of innovation, measured by complexity and investments requirements of the adopted technologies, relates to innovative behavior and complying with social responsibility practices, as two indicators of the farmer's behavior towards innovation. A typology of farmers with different technological
levels was constructed based on multivariate techniques, according to the adoption of seven technologies. The main objective of the study was to relate SR and innovative behavior to the technology clusters

The paper is based on the analysis of cooperation in two different German case studies: One case deals with the development of a sustained value chain for ethical poultry production while the other case aims at the combination of different niche innovations for cultural landscape conservation. The empirical analysis is based on the categories ‘goals of the innovation and motives of cooperation’, ‘actors and their resources’, ‘distribution of costs and benefits’, ‘cooperation structure and management’.

This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).