The local economic information base for the UK does not meet the demand for local economic indicators emerging from the private and public sectors. This thesis identifies an 'information gap' between the need for and provision of local economic indicators in the public and private sectors. The existence of this 'gap' emerges in the literature review. Empirical evidence of the gap is provided by the thesis' postal survey (which investigates the use of local economic information in forecasting). The dearth of local economic indicators is then confirmed in the analysis of guided interviews with practitioners. The literature review and practitioner interviews identify a rising need for local economic indicators over the last decade. The increased political significance of local space has led to a growth in the need for information at this scale from the public sector. Organisational restructuring and the privatisation of utilities has also led an increase in demand from the private sector for local economic information. This need has been compounded by deficiencies in those local economic indicators which are currently available, in terms of quality, organisation and accessibility. The literature suggests that standardisation of the criteria for organising local economic indicators into a database would greatly assist the organisations that seek this information. However, no such set of criteria has been forthcoming. The thesis therefore incorporates a feasibility study which focuses on the establishment of a standardised local economic database. The research findings steer suggestions for its development, and local economic indicators for the Local Authority District (LAD) ofLuton are collected and organised into a database as a case study. The methodology is documented, and can be reproduced to develop a similar database for any other LAD in the UK.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:629679 |
| Date | January 1997 |
| Creators | Cole, Denise |
| Publisher | University of Bedfordshire |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://hdl.handle.net/10547/333421 |
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