Cargando…

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

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 pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Yuan, Zhu, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667447/
https://www.ncbi.nlm.nih.gov/pubmed/36408458
http://dx.doi.org/10.1007/s41109-022-00518-3
_version_ 1784831726718025728
author Gao, Yuan
Zhu, Zhen
author_facet Gao, Yuan
Zhu, Zhen
author_sort Gao, Yuan
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9667447
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-96674472022-11-16 Regional industrial growth and biopharma patent networks: empirical insights from the UK Gao, Yuan Zhu, Zhen Appl Netw Sci Research 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. Springer International Publishing 2022-11-16 2022 /pmc/articles/PMC9667447/ /pubmed/36408458 http://dx.doi.org/10.1007/s41109-022-00518-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Gao, Yuan
Zhu, Zhen
Regional industrial growth and biopharma patent networks: empirical insights from the UK
title Regional industrial growth and biopharma patent networks: empirical insights from the UK
title_full Regional industrial growth and biopharma patent networks: empirical insights from the UK
title_fullStr Regional industrial growth and biopharma patent networks: empirical insights from the UK
title_full_unstemmed Regional industrial growth and biopharma patent networks: empirical insights from the UK
title_short Regional industrial growth and biopharma patent networks: empirical insights from the UK
title_sort regional industrial growth and biopharma patent networks: empirical insights from the uk
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667447/
https://www.ncbi.nlm.nih.gov/pubmed/36408458
http://dx.doi.org/10.1007/s41109-022-00518-3
work_keys_str_mv AT gaoyuan regionalindustrialgrowthandbiopharmapatentnetworksempiricalinsightsfromtheuk
AT zhuzhen regionalindustrialgrowthandbiopharmapatentnetworksempiricalinsightsfromtheuk