Related Publications: India

Using a theory of change (TOC; a simplified definition of how and why an intervention is expected to work) or a programme impact pathway (PIP; a more detailed description of the causal pathways through which an intervention is delivered) to guide

Improved technologies and agricultural innovation are the key drivers of growth in the agricultural sector.

We evaluate a large-scale model of agricultural advisory services, known as Krishi Vigyan Kendra (KVK) or Farm Science Centers, introduced by the Government of India to facilitate smallholder adoption of new agricultural technologies.

Household surveys play an important role in collecting cross-sectional information across time among population subgroups including demographics, health and nutrition risk factors and coverage of inteventions.

Modeling studies estimated severe impacts of potential service delivery disruptions due to COVID-19 pandemic on maternal and child nutrition outcomes.

Agriculture sector in India is a primary source of livelihood for a majority of the population. Low and stagnant income in the sector remains a focal point of policy debate in India.

Even before the current global COVID-19 health crisis — whose potential long-term impacts on food systems are still unclear (Béné et al.

Background: India’s 1.4 million community health and nutrition workers (CHNWs) serve 158 million beneficiaries under the Integrated Child Development Services (ICDS) programme.

While agricultural value chains are rapidly evolving (Reardon, 2015; Reardon et al., 2021; Barrett et al., 2022), research attention has increasingly taken notice of the important role played by actors in the ag ricultural midstream.

Background Iron deficiency (ID) and iron deficiency anemia (IDA) are highly-prevalent nutrient deficiencies and have been shown to have a range of negative effects on cognition and brain function.