Terms of Reference (ToR)
For
Facilitating a study on ‘Dynamics of extreme poverty, new poor and exclusion in a post-covid and inflationary economy: review of existing national data with regional perspectives from Rangpur and Rajshahi Division’

under the projects ‘Promotion of Social Partnership for Empowerment of Marginalised Communities in 6 districts and at national level in Bangladesh (PROSPECT)’ and ‘Strengthening the resilience of the poorest population to the impacts of climate change in Bangladesh (PORIBESH)

BMZ Project No.: 4163 & 5981

Introduction
NETZ Partnership for Development and Justice (short: NETZ) is a non-governmental organisation which promotes human rights and justice in Bangladesh with a focus on the most vulnerable and marginalised people to create an enabling environment in the society for demanding good governance, a non-discriminatory society and social justice. NETZ is looking for hiring researchers to carry out a study on ‘Dynamics of extreme poverty, new poor and exclusion in a post-covid and inflationary economy: review of existing national data with regional perspectives from Rangpur and Rajshahi Division’ in two of its projects titled ‘Promotion of Social Partnership for Empowerment of Marginalised Communities in 6 districts and at national level in Bangladesh (PROSPECT)’ and ‘Strengthening the resilience of the poorest population to the impacts of climate change in Bangladesh (PORIBESH)’

Rationale of the study
In the last years of economic shocks induced by pandemic and inflationary pressure, previously positive poverty trends have been reversed and new exclusions created. Several studies have been conducted by various think-tanks and institutions particularly focusing on newly poor people. At the same time, other trends such as the effects on lower poverty lines (extreme poverty), the increasing pressure from human-induced climate change and deteriorating ecological resources and the volatile human rights situation with increasing violence against women and minorities and other conflicts, have often not been integrated in the analysis.

Application Deadline: January 30, 2023

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