The co-creation and sharing of knowledge among different types of actors with complementary expertise is known as the Multi-Actor Approach (MAA). This paper presents how Horizon2020 Thematic-Networks (TNs) deal with the MAA and put forward best practices during the different project phases, based on the results of a desktop study, interviews, surveys and expert workshops. The study shows that not all types of actors are equally involved in TN consortia and participatory activities, meaning TNs might be not sufficiently demand-driven and the uptake of the results is not optimal.
For farmers, the transition towards agroecology implies redesigning both their production system and their commercialisation system. To engage in this type of transition, they need to develop new knowledge on practices adapted to local conditions, which will involve new actors in their network. This chapter explores the role of actors’ networks in the agroecological transition of farmers, with a particular focus on farming practices and modes of commercialisation.
As the PAEPARD project is complex and multi-faceted, ensuring that appropriate information is made available to users in a timely manner and in a form that can be easily understood and used has been a major challenge.
The report specifically analyses the NIS in Peru and Colombia in the coffee and dairy sectors due to their economic importance for both countries and the large percentage of small producers in these sectors. In order to analyse the NIS, we have utilised an innovations systems approach to form the analytical framework. This framework focuses on four main areas – understanding the actors in the NIS, their roles and attitudes, the patterns of interaction of these actors, and the enabling environment with a focus on small producer inclusion.
This article addresses the impact of Integrated Agricultural Research for Development (IAR4D) on food security among smallholder farmers in three countries of southern Africa (Zimbabwe, Mozambique and Malawi). Southern Africa has suffered continued hunger despite a myriad of technological interventions that have been introduced in agriculture to address issues of food security, as well as poverty alleviation.
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.
This research delves into the underlying impacts of farmers' innovative entrepreneurship on agricultural and rural economic development in China, adopting a dynamic and spatio-temporal perspective. The study utilizes panel data encompassing 30 provinces (cities and autonomous regions) from 2015 to 2020, with a systematic consideration of diversified spatial weight matrices.
The Global Innovation Index (GII) aims to capture the multi-dimensional facets of innovation by providing a rich database of detailed metrics for 127 economies, which represent 92.5% of the world’s population and 97.6% of global GDP. As Ban Ki-moon, the eighth Secretary-General of the United Nations, noted at the UN Economic and Social Council in 2013, the GII is a ‘unique tool for refining innovation policies . . . for providing an accurate picture on the role of science, technology and innovation in sustainable development’.
This report sets out the synthesis of work carried out within the framework of the Sahel and West Africa Club (SWAC) Secretariat Initiative on “The family economy and agricultural innovation: towards new partnerships”. The initiative aimed to stimulate analyses, collect field data and case studies that encourage debates between regional actors, with a view to informing the development of regional policies and actions in order to promote and strengthen producer access to agricultural innovation, where most producers are anchored in the family economy.
Little is known about effective ways to operationalize agricultural innovation processes. The authors of this article use the MasAgro program in Mexico (which aims to increase maize and wheat productivity, profitability and sustainability), and the experiences of middle level ‘hub managers’, to understand how innovation processes occur in heterogeneous and changing contexts. Their research shows how a program, that initially had a relatively narrow technology focus, evolved towards an innovation system approach.