How to reduce housing inequalities stemming from the green and digital transition?
Reducing housing inequalities in the green and digital transition (ReHousIn) is committed to better understanding the impacts of recent crises on housing inequalities across different European regions, especially with regard to the implementation of the green transition launched by the EU. The overall aim is to explore the mechanisms affecting the (re)production of housing inequalities under recent crisis conditions, and the impacts of the EU induced green transition in different national contexts and along different degrees of urbanisation. Based on a contextualized and comparative understanding of the mechanisms (re)producing housing inequalities, ReHousIn inquiries into multi-level pathways and inclusive local housing initiatives to spark innovative EU, national and local policy solutions towards inclusionary and quality housing, mitigating the possible negative impacts of the EU induced green transition.
Principal researcher: Brian Rosa
Research collaborators: Panagiota Kotsila, Isabelle Anguelovski
Objectives
It conducts a comparative, multi-level analysis in 9 European countries – Austria, France, Hungary, Italy, Norway, Poland, Spain, Switzerland, United Kingdom – focusing on attractive metropolitan regions, middle-sized cities and rural areas by means of a mixed-method project design. A quantitative data analysis on recent trends in housing inequalities and their relation to crises across different levels of urbanization will provide the framework for 27 local cases studies in which the impact of multi-level trajectories of housing-system, welfare regimes and environmental policy instrumentations on the (re)production of local housing inequalities and the emergence of inclusive housing initiatives are analyzed. Based on this, ReHousIn compares mechanisms of differentiation feeding into policy labs, aiming to formulate recommendations on how to tackle negative social externalities related the EU green transition at EU, national and local levels.