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With research staff from more than 60 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

researcher spotlight

Liangzhi You

Liangzhi You is a Senior Research Fellow and theme leader in the Foresight and Policy Modeling Unit, based in Washington, DC. His research focuses on climate resilience, spatial data and analytics, agroecosystems, and agricultural science policy. Gridded crop production data of the world (SPAM) and the agricultural technology evaluation model (DREAM) are among his research contributions. 

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Innovation for Agribusiness (InovAgro) Project Impact Evaluation Results Dissemination Workshop

October 28, 2021

  • 2:00 – 3:30 pm (Africa/Maputo)
  • 8:00 – 9:30 am (US/Eastern)
  • 5:30 – 7:00 pm (Asia/Kolkata)
Portuguese Interpretation
Video

Using a Market System Development (MSD) approach, the InovAgro project – funded by the Swiss Agency for Development and Cooperation (SDC) and implemented by Development Alternative Initiatives (DAI) Europe in partnership with COWI Mozambique – aims at increasing incomes and economic security for poor men and women smallholder farmers in Northern Mozambique through improved agricultural productivity and enhanced connectedness to market systems of selected high-potential value chains, focused on five value chains (maize, soya beans, groundnuts, sesame, and pigeon peas).

In 2014, SDC in collaboration with the International Food Policy Research Institute (IFPRI) launched a scientific impact evaluation of the development intervention “Innovation for Agribusiness” on households and markets. The impact evaluation study was conducted by IFPRI, employing three rounds of household-level panel data (2015 baseline survey, 2017 midline survey, and 2019 endline survey); Key Informant Interviews (KIIs) and Focus Group Discussion (FGD) with local stakeholders, including market actors and local authorities, were complemented with two rounds of geo-spatial data (2017 and 2019). Geo-spatial data enabled the study team to categorize all sampled households into four groups: (1) MSD beneficiary – InovAgro facilitated; (2) MSD beneficiary – Non-InovAgro facilitated; (3) Non-MSD beneficiary; and (4) non-beneficiary (control households).

This workshop will disseminate the results of the impact evaluation of the InovAgro project’s interventions which will reflect on both intended and unintended effects of the interventions.

Opening Remarks

  • Steven Geiger, Head of economic development domain, Swiss Agency for Development and Cooperation (SDC) in Mozambique

Results of the IFPRI Impact Evaluation Study

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