Agricultural Innovation System (AIS) is a collection of institutions enabling agricultural and food system transformation in a country. Any attempt to engage in emergency interventions by institutions and bounce back with higher levels of resilience requires strong organizational and human capacity as a prerequisite. What role do these institutions play in emergencies such as COVID-19 and how can they bounce back after such a crisis is over? What can be done to help these institutions build resilience capacity for such recovery?
The world’s population is likely to reach 9 billion by the middle of this century. The Food and Agriculture Organization of the United Nations (FAO) believes that 60 per cent more food will be needed by 2050 to sustain all these people. Where possible, this food should be produced where it is needed – in developing countries.
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 brief describes how Women in Business Development Incorporated (WIBDI), a non-profit organisation in Samoa, works with farming families to produce highvalue products for local and global markets. Shifting away from a women-focused approach, WIBDI now uses an approach that involves the whole family, keeping all family members on board. It has also invested in digital applications and resources to increase the efficiency of operations, profile the producers and their products, and facilitate engagement with markets and customers
The number of theories of innovation systems has grown considerably over the past two decades and several innovation system approaches have been developed. The focus of most has been on the development of technological innovations which create economic value.However, addressing macro-level societal problems – sociotechnical and environmental challengesin which the production, dissemination and use of social and technical knowledge and technology can potentially resolve the problem – has been overlooked.
In this study the farmers were first asked to answer two sets of statements related to views on climate change and experiences on changes so far in their own farm or nearby locations.
AARINENA was established to strengthen cooperation among national, regional and international agricultural research institutions and centers to ultimately support the agricultural sector in its member countries. Women farmers significantly contribute to the agricultural development in the WANA region, but often remain invisible in agricultural research and knowledge transfer.
Building on this potential, Katalyst’s Women’s Economic Empowement (WEE) sector designed an intervention to provide training in modern prawn cultivation techniques and input and create linkages between feed and aqua-chemical companies with women prawn farmers of the Jessore-Khulna Bagerhat Satkhira Narail belt. Through this intervention, 22,170 women farmers have improved access to quality inputs and relevant know-how.
This brief outlines why it is needed an index to measure and monitor women’s access to the services, markets, policies and other aspects constraining their ability to contribute to and benefit from opportunities in agriculture and agribusiness, especially in the developing world. This would allow policy-makers, women’s development advocates and development partners to better focus their efforts so they make agriculture work for women
This paper documents a positive relationship between maize productivity in western Kenya and women’s empowerment in agriculture, measured using indicators derived from the abbreviated version of the Women’s Empowerment in Agriculture Index. Applying a cross-sectional instrumental-variable regression method to a data set of 707 maize farm households from western Kenya, we find that women’s empowerment in agriculture significantly increases maize productivity.