PROJECT

Nutrition insecurity in rural Myanmar

Understanding food and nutrition security


This project aims to generate new insights into the ways nutrition outcomes relate to livelihood circumstances in rural Myanmar. Project lead Professor Anu Rammohan will explore the persistent problems of chronic under-nutrition among agriculture-dependent households. International research has identified a disconnect between changes in agricultural practices in the global south, and the nutrition security needs of agriculture-dependent populations. To date, this issue has not been explored in the context of rural Myanmar.

As the country undergoes economic and political reform, these insights have key relevance to policies for agriculture, land and natural resource planning, and food and nutrition. Professor Rammohan is conducting her research through the analysis of a unique data collection. In a first of its kind survey in rural Myanmar, explanatory qualitative interviews in six townships across three regions will be used by Professor Rammohan.

Project goals

diet Created with Sketch.

Address critical questions about food and nutrition insecurity in Myanmar by generating dietary and anthropometric data from our survey sample

cloud-computing Created with Sketch.

Assess this data against household indicators to propose an explanation of the socio-economic patterns of food and nutrition insecurity in rural Myanmar

Disseminate findings in key national policy-making forums at this vital moment in Myanmar’s history

PhD opportunities

 

 

This project includes an opportunity for a PhD student to use data to empirically analyse the links between food security, dietary diversity and nutrition outcomes.

You must have a master’s in economics and statistical skills to be considered.

To discuss PhD options, contact Professor Rammohan using the details below.

Graphic of mortar board hat and degree scroll 

Contact project lead Professor Anu Rammohan

CRICOS Code: 00126G
Updated
Friday, 19 October 2018 1:53 PM (this date excludes nested assets)
Feedback
[email protected]
Content ID
baccc4a1-a2d3-4cbe-9b2a-375c1295bedc