Tool

A toolkit for unpacking gender dynamics of migration in rice-based agricultural systems in South Asia

Rice harvesting Photo: Michael Major/Crop Trust 1

This toolkit was developed to bring conceptual clarity and innovative tools on framing gender, explaining and capturing the diversity of ways in which gender dynamics define experiences in migrant societies.

Why is the toolkit important?

This toolkit was developed to support mixed-methods research to explore how gender dynamics is constitutive of male migration, in the context of eastern India, in line with a conceptual framework developed to address the existing gaps in literature. 

Who is the toolkit material for?

This tool is designed for researchers. 

Country of focus: Eastern India/South Asia.

How can I use the tool?

The tool encompasses a broader view of ‘gender’, attempting to study the cause and consequences of migration by reflecting on the dynamics between men and women of different age and social groups. The scope of ‘gender dynamics’ explored in the toolkit and framework includes:

  • Understanding the power inequalities and the vulnerabilities that engender migration
  • assets, capitals and resources that shape and are shaped by migration
  •  habitus
  • life cycle and interrelated trajectories.

When and how was it developed?

This migration toolkit was produced and published by International Rice Research Institute (IRRI) in 2021.

Where can I get the tool? Who can I contact?

Download here.

Contact: info@irri.org

Publications

Shifting gender relations in agriculture and irrigation in the Nepal Tarai-Madhesh
Report

Shifting gender relations in agriculture and irrigation in the Nepal Tarai-Madhesh

Karn, Sujeet; Sugden, Fraser; Sah, K. K.; Maharjan, J.; Shah, T. N.; Clement, F. 2020. Shifting gender relations in agriculture and irrigation in the Nepal Tarai-Madhesh. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Research Program on Water, Land and Ecosystems (WLE). 34p. (WLE Research for Development (R4D) Learning Series 10) [doi: https://doi.org/10.5337/2020.211]