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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.

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. 

Where we work

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Where we work

IFPRI currently has more than 600 employees working in over 80 countries with a wide range of local, national, and international partners.

IPOR gives Zomba communities MK6.6m worth tree seedlings (Malawi Nyasa Times) 

February 11, 2023


In an article in the Malawi Nyasa Times, the paper reports that tree seedlings will be donated to villages in Traditional Authorities (TAs) Malemia, Mlumbe, Nkula, and Sub TA Nkapita in Zomba and Machinga Districts. The donation followed a study that IPOR, together with Ohio State University, Vanderbilt University, and the International Food Research Institute (IFPRI) conducted in the communities around the Zomba and Malosa forest reserves in July and August 2022. 

The objective of the research project titled “Gender, Deliberation, and Natural Resource Governance: Experimental Evidence from Malawi” was to investigate how women’s groups impact discussions related to environmental governance. To achieve this, a lab-in-the-field experiment was conducted, where the gender makeup of six-member groups was randomly altered. Preliminary findings indicate that the presence of more women in a group results in an increase in their relative influence during group deliberations.

Expanding representation by women not only amplifies women’s overall impact but also increases the likelihood of any individual woman swaying group discussions. In instances where women comprise the majority of a group’s membership, their pre-existing policy preferences are more likely to prevail in a collective decision-making process.

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