Levelling Up: Designing Policy to Fit Places
Using Fable’s transaction data to obtain consumption trends at a local level and in real-time, researchers from the University of Nottingham’s Centre for Inclusive Financial Technology have published a report that rethinks the design of levelling up policy. They use a machine learning model to split local authorities across Britain into 6 clusters based on economic characteristics. The report demonstrates the amount of economic diversity within the larger geography of regions and recommends that policy is targeted at the local rather than regional level.
Read the full report here.