Agrifood systems are powerful levers for improving livelihoods. They must also address an array of systemic challenges, including satisfying growing global food demand, improving diets, limiting greenhouse gas emissions, adapting to a warming climate, and sustaining the environment. Technology and innovation play a central role in meeting these challenges. This brief offers two policy recommendations to support the contribution of innovation. First, G20 countries should increase political and financial support to agrifood systems research in developing countries.

A network of women farmers’ leaders is set to drive widespread adoption of innovations and technologies across India. The International Rice Research Institute (IRRI), together with the Department of Biotechnology of India’s Ministry of Science and Technology, are training women farmer leaders on advanced rice production and soft skills to help boost food security in India.

The project Empowering Women Fish Retailers (EWFIRE) Project. Funded by the European Commission (EuropeAid), the project supports vulnerable women retailers and processors to develop their businesses in five urban areas across the Sharkia governorate, lower Egypt (Zagazig, Faous, Belbeis, Al-Hussainyaand Abu-Kebeer).

In the rapidly changing context of agri-food systems, extension and advisory services (EAS) are expected to provide new roles and services that go well beyond the traditional production-related technology transfer. Consequently, pluralistic EAS systems with diverse actors have emerged with diverse actors, including private and civil society organisations. These multiple EAS actors must adopt innovative entrepreneurship models if they are to act proactively and respond to the increasing diversity of farmers’ demands while staying independent and sustainable.

The global impacts of the climate crisis are becoming ever clearer, and natural resources and ecosystems are being depleted. Despite some progress, hunger and poverty persist, and inequalities are deepening. The world is realizing that unsustainable high external inputs and resource-intensive industrialized systems pose a real danger of biodiversity loss, increased greenhouse gas emissions, shortages of healthy food, and the impoverishment of dispossessed peasants around the world.

This study aims at inspiring the success of further agricultural innovation policies. Findings fromthis study will provide useful inputs for researchers, governments, the private sector, donors, and other stakeholders to improve policy-maker engagement processes for innovations to ensure appropriate development and dissemination of innovation and maximise their socioeconomic impacts on the wider population.

Low and slow adoption of improved agricultural technologies among smallholders often frustrate technology development and promotion efforts in the developing world. That is especially true for technologies requiring high initial investment. This study investigates how increasing farmers' awareness and exposure to new agricultural technologies through the creation of systematic linkages in the research-to-development continuum affect adoption. The double hurdle and duration analysis models were applied to a sample of 820 smallholder households producing wheat and barley in Syria.

This Economic and Sector Work paper, “Enhancing Agricultural Innovation: How to Go Beyond the Strengthening of Research Systems,” was initiated as a result of the international workshop, “Development of Research Systems to Support the Changing Agricultural Sector,” organized by the Agriculture and Rural Development Department of the World Bank in June 2004 in Washington, DC.

The study first identified fully efficient farmers and then estimated technical efficiency of inefficient farmers, identifying their determinants by applying a Zero Inefficiency Stochastic Frontier Model (ZISFM) on a sample of 300 rice farmers from central-northern Thailand. Next, the study developed scenarios of potential production increase and resource conservation if technical inefficiency was eliminated. Results revealed that 13% of the sampled farmers were fully efficient, thereby justifying the use of our approach.