This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced significant results.
The main goal of the study is to quantify the effects of a) change in nitrogen fertilization rate, b) adjustment of sowing date, c) implementation of new cultivars, and d) supplementary irrigation on maize cropping systems across six African countries including Ghana, Nigeria, Kenya, Malawi, Ethiopia and Burkina Faso. For this purpose, 30 years (1980-2010) of climate data are used as well as soil and management information obtained from global datasets at 0.5° x 0.5° spatial resolution.
This working paper provides the following text as a abstract:
This paper starts describing the importance of agroforestry systems for the increase of productivity, resilience and efficiency. After the papaer describes the current state of agroforestry in Eastern Europe and its challenges and introduces good examples of agroforestry innovation networks initiatives in the region.
The main objective of this paper is to describe the AgroFE and Agrof-MM projects. This projects aims to develop an agroforestry training system based on a common framework and core content, and to promote training at European level. The knowledge databank is a component of the project training system. It aims to gather and share a set of documents, resources that partners can use and which will have been accessed by learners and the public users.
This study sought to examine the gaps and draw lessons for effective Innovation platforms (IPs) formation using the case of the coffee IPs in the four districts of Luwero, Ntungamo, Bushenyi and Rakai in Uganda. Data were collected through key informant interviews with 32 actors of the coffee steering committees and from document review. Qualitative data analysis was conducted using content and thematic analysis
This article analyses spatial innovation dispersion and also level of innovation development across the crop sector. For this, five crude indicators viz. Mechanisation indicator, Vulnerability indicator, Concentration indicator, Stability indicator and Adoption indicator were constructed which determined the direction of innovation. Agricultural Innovation System encompasses both the facets of technology development and technology dissemination. However, much concentration and efforts were exerted on innovation and technology development part while the other part i.e.
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
The aim of this research is to explore the different policy frameworks adopted by the Italian regions to support cooperation for innovation projects in RDPs in the period 2007-2013. These were analysed against the conceptual background outlined by the European Commission and the international literature on the interactive approach to innovation processes (EC, 2013). The study is supported by the use of a mixed-methods approach, based on desk and on field research, qualitative and quantitative methods
The present study intended to propose insights on the contribution of innovation and competitiveness in meat production chains. A systematic review of the literature was carried out, considering manuscripts published in the Scopus, Web of Science and Science Direct databases. Based on the search and exclusion criteria, the analyzed portfolio consisted of 18 works related to the main animal production chains (i.e. pork, chicken, beef, and sheep)