This paper details the analytical framework used for developing a nested understanding of systemic innovation capacity in an AIS. The paper then introduces the two case studies, along with the data and methods of analysis, followed by a presentation of the results as timelines of configurations of capabilities at different levels of the AIS.
The term ‘systemic innovation’ is increasing in use. However, there is no consensus on its meaning: four different ways of using the term can be identified in the literature. Most people simply define it as a type of innovation where value can only be derived when the innovation is synergistically integrated with other complementary innovations, going beyond the boundaries of a single organization. Therefore, the term ‘systemic’ refers to the existence of a co-ordinated innovation system.
This study was taken up to understand the training gaps and training needs of the agricultural stakeholders such as public, private extension officials and farmers in Tamil Nadu. The data were collected using pre tested well-structured questionnaire from public and private extension officials and using semi-structured interview schedule in case of farmers. The results show that training gaps are relatively higher among public extension officials than private extension officials.
Women empowerment through increasing the access of resources in local situation is the highlighted issue in the present context. Women involve in different types of activities in agricultural sphere and shoulder the responsibility in playing the roles of different actors in agricultural innovation system. The dimension of agricultural innovation always prefers to go along with the concepts of the dynamics around different activities and roles that poor women communities engaging towards addressing their social and economic needs through agricultural production system.
Agricultural organizations are faced with continuous processes of change: economic openness, national and international competition between companies, adaptation to new business management models-Corporate Social Responsibility-, changing markets and the need to comply with regulations and certifications. This has led to the generation of a great demand for knowledge, preparation and motivation of the people who work in the organizations and in the agribusiness environment.
The farming systems followed by farmers in Asia, Africa and Latin America have the potential to deal with the problems thrown up by climate change. This article examines the changing drought ecosystems of poor farmers and also points out that the present paradigm of agricultural development and what it means for small farmers needs to be critically evaluated. Droughts in 2016 affected a quarter of the Indian population (2,55,923 villages in 254 districts in 10 states). Debates over drought preparedness and development priorities have been widespread.
The objectives of this study were to (1) develop a participatory method to delineate distinct agricultural landscapes and map the adaptive capacity of smallholder farmers in data-limited contexts, (2) apply the method systematically to understand the adaptive capacity of smallholder farmers in three Central American countries (Costa Rica, Guatemala, and Honduras), and (3) use the information generated to understand the variation in adaptive capacity of smallholder farmers across farming systems and regions
This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal. A CSV model is a participatory integrated approach using climate information, improved context-based technologies/practices aiming at reaching improved productivity (food and nutrition security), climate resilient people and ecosystem and climate mitigation.
The objective of this paper is to review both supply- and demand-side measures for climate-smart agriculture and discuss their interlinkages, trade-offs, and context- and site-specific validity. The literature reviewed focuses on studies during the last decade (2008–2017) addressing food- and feed-related measures. Based on the literature review, potentials for different measures are identified and mapped across the globe using representative datasets.
The chapter presents a research for development program’s shift from a Logframe Approach to an outcome and results-based management oriented Monitoring, Evaluation and Learning (MEL) system. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) is designing an impact pathway-based MEL system that combines classic indicators of process in research with innovative indicators of change. The chapter presents the approach to theory of change, impact pathways and results-based management monitoring, evaluation and learning system