Boundary-spanning search for knowledge is an effective way for enterprises to acquire heterogeneous knowledge, and is also an important pre-stage to realize effective knowledge reconstruction. Based on the boundary-spanning search for knowledge theory, this paper studies the relationship between boundary-spanning search for knowledge and the sustainable innovation ability of agricultural enterprises considering the influence of organizational knowledge reconstruction, from a Chinese perspective.
This chapter analyses the functioning of the Brazilian agricultural innovation system. It discusses the role of the different actors and describes governance mechanisms to define priorities and evaluate performance. It analyses trends in agricultural R&D expenditure and sources of funding, the role of intellectual property protection in fostering knowledge markets, and outlines mechanisms used to facilitate knowledge transfers, including collaboration at the national level and the adoption of innovation at the farm or firm level.
Depuis plusieurs décennies, les pays de l’Afrique de l’Ouest se sont investis dans le développement et la diffusion des innovations agricoles dans le but d’accroître la productivité agricole et la production vivrière en particulier. Plusieurs mécanismes et approches ont été développés à cet effet en vue d’une utilisation efficace de ces innovations agricoles par les producteurs.
La présente note commence par indiquer brièvement en quoi une politique de la concurrence est importante pour les économies en développement et en transition. Elle aborde ensuite certains éléments essentiels de l’établissement d’une culture de la concurrence. Idéalement, ce processus devrait tout d’abord consister en une « évaluation des besoins » dans différents domaines, qui permettra probablement de dresser une liste de mesures à hiérarchiser et à prendre.
Ce document offre un cadre de réflexion sur le renforcement des capacités, établi à partir des principaux enseignements tirés de l’expérience, qu’elle soit positive ou négative.
Conflicts of interests have been hypothesized when agricultural advisory services are connected to agri-input businesses. However, these have not been examined using large sets of advisory service and grower data. We provide quantitative insights into dependencies between service, crop production, sustainability and the level of agri-input business-linkage of extension workers. This study analyzed 34,000+ prescription forms (recommendations) issued to growers in China, as well as grower interview data.
There is a blossoming of voluntary certification initiatives for sustainable agro-food products and production processes. With these certification initiatives come traceability in supply chains, to guarantee the sustainability of the products consumed. No systematic analysis exists of traceability systems for sustainability in agro-food supply chains.
In recent years, the international status of agriculture in the BRICS countries—Brazil, Russia, India, China and South Africa—has been continuously improved. In 2018, the gross agricultural production of the BRICS countries accounted for more than 50% of the world’s total. Further strengthening the developing cooperation of the BRICS countries is of great significance for ensuring global food security.
The impact of global warming on crop growth periods and yields has been evaluated by using crop models, which need to provide various kinds of input datasets and estimate numerous parameters before simulation. Direct studies on the changes of climatic factors on the observed crop growth and yield could provide a more simple and intuitive way for assessing the impact of climate change on crop production.
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).