ABSTRACT

The Alliance for a Green Revolution in Africa (AGRA) is the latest in a series of initiatives aimed at modernizing small-scale farming to address food insecurity and poverty, yet AGRA has fallen short of its goals. This study explores whether these shortcomings might stem from flawed assumptions in AGRA's theory of change—assumptions long embedded in top-down agricultural modernization efforts. We situate AGRA within broader debates on the agrarian question, especially the Chayanov–Lenin debate, and draw historical parallels with United States agricultural industrialization, the Green Revolution, and Soviet collectivization, as well as Tanzania's villagization program. Tanzania is an instructive case, having undergone both collectivist and market-based modernization. Using Chayanov's theory of peasant household decision-making, we analyze panel survey data from the Tanzania National Panel Survey (TNPS), part of the World Bank Living Standards Measurement Study—Integrated Surveys on Agriculture (LSMS-ISA) program, to examine how household demographic factors relate to labor and land use decisions. Our findings show that household composition is significantly associated with agricultural labor allocation choices and land use. We also address Chayanov's gender blind spot, finding that men and women plot managers and men- and women-headed households often pursue different labor allocation and land use strategies. These results suggest that AGRA's model may make questionable assumptions about the decision-making of small-scale farmers. We conclude by considering the implications of this modernization logic and argue that a pragmatic approach to agricultural development, one rooted in the actual priorities and preferences of small-scale farmers, offers an alternative.

The IP4OS project has published the Synergy Framework for Knowledge Valorisation, a practical handbook examining how Open Science practices and Intellectual Property management can be aligned to support the exploitation of publicly funded research for effective research knowledge valorisation leading to economic or environmental benefits, social progress or improved policy making. The framework contributes to the objectives of the European Research Area Policy Agenda 2025-2027, with a focus on Open Science and the upscaling of knowledge valorisation.