Cambridge Centre for Business Research Professional Services Firms Dataset, 1990-1997

DOI

Abstract copyright UK Data Service and data collection copyright owner.

The theories which have sought to explain the phenomena of agglomeration and deglomeration of firms have focused mostly on manufacturing industries and are dominated by manufacturing paradigms. Many of the factors cited in these theories to derive agglomeration may not be applicable to professional business service (PBS) industries (such as internal and external economies of scale, disintegration, flexible specialisation). Yet, geographic clusters of firms, especially small and medium sized enterprises (SMEs) competing in the same industry, exist also in PBS industries to which existing theory provides only limited explanation. The location of PBS firms has attracted the attention of economic geographers, who have also sought explanations for the concentration of these firms in particular locations. The main reason cited to explain this phenomenon is demand driven, that is, PBS firms locate themselves in proximity to their clients. This explanation seems to be limited and does not acknowledge a range of both demand and supply factors which may affect this pattern of geographical concentration. This research seeks explanations for two apparently contradictory phenomena related to the location of PBS firms. The first is the existence of geographical clusters of PBS SMEs in large metropolitan centres such as London. The second is the deglomeration of PBS SMEs, to the extent that these have been locating since the 1970s in smaller towns and even rural areas of England away from the main geographical clusters. The research is designed to acknowledge the unique characteristics of these industries (such as short value added chains typically implemented by a single production unit, limited potential for economies of scale in production, competitive advantage based on embodied expertise), which distinguish them from both manufacturing and other service industries, and which may explain both the geographical clusters of some firms in these industries and the de-concentration of others.

Main Topics:

The dataset contains information regarding five aspects of firms' activities and operations. First, general characteristics of the firms - the specific service they provide, size and magnitude of activity, time and manner of establishment, characteristics of the founders. Second, the nature of their clients - their location, way of obtaining business from clients, the value of relationships with the clients for the development of the firm's own competitive advantages. Third, competition, networking and collaboration - identifying the firm's major collaborators, their location, extent and nature of linkages with them, the value of these linkages for the development of the firm's own advantages. Fourth, employment - recruitment procedures, previous experience of the employees etc. Fifth, location - reasons for the choice of location and the perceived advantages and disadvantages associated with it.

Simple random sample

Random sampling on all management and engineering consultancy firms listed in the Business Dataset

Postal survey

All firms selected were telephoned to check that they were independent, were engaged in the relevan

Identifier
DOI http://doi.org/10.5255/UKDA-SN-4433-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=da99781e84e67ff1d5a767d60c6005bfcd12f8904e8f25f84a781018152fa7d7
Provenance
Creator Keeble, D., University of Cambridge, Department of Geography; Nachum, L., University of Cambridge, Centre for Business Research
Publisher UK Data Service
Publication Year 2002
Funding Reference Economic and Social Research Council
Rights Copyright University of Cambridge Centre for Business Research; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p>
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Economics; History; Humanities; Social and Behavioural Sciences
Spatial Coverage Eastern England; South West England; England