Industrial Clusters in England
Summary & aims
Industrial clusters are regarded as an interesting laboratory for economic research and a useful concept to guide industrial and labour-market policies. The indefiniteness of cluster boundaries generates interesting opportunities for empirical exploration, both from a geographical and an industry perspective, but the formulation of policy objectives may require constraining cluster definitions to match the boundaries of administrative units, of particular sets of industries, or formal associations of enterprises and institutions. This study explores the extent to which internet data can be used to identify industrial clusters. Qualitative case studies complement and test the innovative quantitative approach.
This study uses a novel data-driven approach to investigate the patterns of geographical clustering and functional integration across three sectors: Digital-Health, Financial Services and Processing Industry. Machine learning techniques are used to collect unstructured information from the websites of companies that belong to a particular sub-sector or group. Based on this information companies are then classified into the three sectors under investigation. Density based clustering algorithms are used to identify the patterns of geographical agglomeration of these companies. The analysis departs considerably from previous works on UK clusters. First, by using Internet data to identify which companies belong to each sector the approach is mostly data-driven and is less reliant on SIC codes. This allows us to classify as part of a sector companies with different SIC codes. Second, by using an algorithm that identifies clusters based on the physical distance between companies we can identify clusters spreading over multiple discrete administrative areas. Third, by investigating the links included on companies’ websites it becomes possible to investigate the relationships between companies and between companies and other institutions.
Timescale and funder
This project is being carried out over the period December 2015 to April 2016 and is funded by the Department for Business, Innovation and Skills.
Infographic by Strelnik: