I’m working at the moment on a set of documents that I’m calling the ‘seaside regeneration archive’*. These are, at the moment, 84 policy documents relating to seaside regeneration. The reason that I’m working with them as an archive is because it is impossible to pick up a single document and say that THIS is regeneration policy. Regeneration is multi-disciplinary, both in terms of the range of government agencies and other stakeholders involved in policy and in the way it is funded and delivered. Because of this, it is only possible to arrive at a view on regeneration policy as a whole by analysing a wide range of policy sources.
To do this, I’m using Qualitative Data Analysis (QDA) software which allows me to code and search through large amounts of textual information. One of the things it helps with is in constructing visual representations of written data. I’ve just finished coding and analysing one set of documents for this project and the first visual model I’ve constructed is below. It aims to show the complexity of governance and delivery relationships for regeneration schemes. Of course, like any model, it is an over-simplification. The next models I post on here will add layers of detail, focusing in first on the south east and then on each of the three seaside towns that I’m studying.
HMT = Treasury
DCLG = Department for Communities and Local Government
DCMS = Department for Culture, Media and Sport
CITYR = City Regions (their role still unclear)
HCA = Homes and Communities Agency
LGOV = Local government
GOS = Government Office
RDA = Regional Development Agency
DVs = Delivery Vehicles
Third S / Private S = Third / Private Sector
*This is a conscious reference to the work of Derek McGhee, who discusses the ‘community cohesion archive’ in a similarly diverse field of public policy