Regional industrial growth and biopharma patent networks: empirical insights from the UK

Gao, Yuan ORCID: and Zhu, Zhen (2022) Regional industrial growth and biopharma patent networks: empirical insights from the UK. Applied Network Science, 7. ISSN 2364-8228

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The COVID-19 pandemic has once again brought the significance of biopharmaceutical and medical technology sectors to the spotlight. Seeing that some of the most critical medical breakthroughs such as the speedy mRNA vaccine development were results of cross-border patenting collaboration, we have proposed in a previous work a new method to identify the cross-border collaborative regional centres in the patent networks, using a clustering comparison approach based on adjusted mutual information (AMI). In this paper, we focus on the UK industrial landscape. We use the UK bioscience and health technology sector statistics from 2015 to 2020 and look into the regional growth of each postcode area. We compare the top growth regions with the cross-border collaborative centres identified using AMI comparison at the postcode area level, and find that both long-term and short-term AMI gains show an increase in the correlation with regional annual growth rates of firm numbers in the studied sectors from 2016 to 2020, and the increase is more consistent with the short-term AMI gain. We also found that areas more central in the long-term cross-regional R&D collaboration demonstrate a stronger association with more developed industrial settings indicated by more firms and, potentially more employment and turnover in the field. However, AMI gains are found to have negative correlations with the industrial growths as a sign of possible trade-offs of being central.

Item Type: Article
Uncontrolled Keywords: biopharmaceutical,medical technology,patent networks,cross-border,clustering comparison,adjusted mutual information,computational mathematics,general,computer networks and communications,sdg 9 - industry, innovation, and infrastructure,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/2600/2605
Faculty \ School: Faculty of Social Sciences > School of Economics
UEA Research Groups: Faculty of Social Sciences > Research Groups > Applied Econometrics And Finance
Faculty of Social Sciences > Research Groups > Industrial Economics
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Depositing User: LivePure Connector
Date Deposited: 15 Dec 2022 03:55
Last Modified: 21 Oct 2023 00:43
DOI: 10.1007/s41109-022-00518-3


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