Climate shocks and youth labour - Gender-disaggregated evidence from sub-Saharan Africa

2026

Although climate change is a global challenge, it does not affect all people equally. This research project uses a novel dataset spanning six sub-Saharan African countries and combining nationally representative socio-economic survey data with daily rainfall and temperature information. Using regression analysis, we show that when rural areas are exposed to extreme heat, precipitation or droughts, young people adjust their engagement in productive labour in different ways than older adults.

Integrating participatory extension and material support - Evidence from Farmer Field Schools in Malawi

2026

This study examines the effectiveness of integrated agricultural extension and material support programmes on agricultural productivity and food security among smallholder farmers in Malawi. It evaluates three interventions: Farmer Field Schools (FFS) alone, FFS combined with input transfers, and FFS combined with cash transfers.

Natural resources for resilient, inclusive rural transformation

2025

This paper examines the role of natural resources in fostering resilient and inclusive rural transformation. It reviews land and water availability for agriculture, highlighting the reliance of poor and vulnerable rural communities on these resources. As land degradation, climate change, and competition intensify, current agricultural models face limits in supporting inclusive development.

Inclusive rural transformations in Latin America. Reassessing and planning under pressures and constraints.

2025

Latin America is at a strategic point in rural development, as recent shocks have exposed deep-rooted challenges in rural policies, particularly regarding inequality and employment. Slow economic recovery, climate change, food system transitions, and rapid technological change further complicate these issues.

Well-being dynamics in sub-Saharan Africa - A spatial perspective across territorial typologies

2025

In sub-Saharan Africa (SSA), efforts to track poverty trends and spatially targeted interventions are constrained by a lack of recurrent and sufficiently granular data. In this paper, we address this lack of information by using a new dataset of spatially explicit welfare indicators (developed by Atlas AI) to examine the spatial distribution and temporal dynamics of welfare in the region.