Situating small business regulation: A longitudinal study of how small firms receive, understand and respond to regulation

DOI

Prospering, internationally competitive small firms are crucial for the UK and its regions' economic and social well being. Yet there are widespread and longstanding concerns about the appropriate level and forms of regulation. Much of the statistical-survey-based received wisdom suggests that the regulatory burden for small firms is too high. Yet, recent research has exposed some key gaps in contemporary understandings of how small firms internalise and respond to regulation. This interdisciplinary research project builds on this recent research and adopts a longitudinal, multi-method framework to explore how small firms understand and respond over time to different forms of regulation in contrasting sectoral (bioprocessing, film and media, and security) and geographic contexts (the North East and Cambridgeshire). The novelty of the research thus lies in its attention to both the spatial and temporal context in which small firms operate and respond to regulation. The situated, contextually sensitive qualitative data produced will complement existing statistical-based 'snapshot' surveys and be of empirical and theoretical significance to a range of academic audiences and policy makers in regional and national government, small business support organisations, consultant/lobbying bodies, legal organisations and trade unions.

Interviews

Identifier
DOI https://doi.org/10.5255/UKDA-SN-850634
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=d7ac7636f23ab10cd7cfd0184a3debd7a42cc8b7de50f88804939806678e0a61
Provenance
Creator Down, S, Newcastle University
Publisher UK Data Service
Publication Year 2012
Funding Reference Economic and Social Research Council
Rights Andreas Giazitzoglu,; The Data Collection is available for download to users registered with the UK Data Service
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage United Kingdom