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https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/118388
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| Title: | Proximity and Cluster Effects: The Case of Emerging Biotechnology Innovation Networks |
| Authors: | Chen, Shih-Hsin;Chen, Duen-kai |
| Date: | 2019-10-17 |
| Issue Date: | 2020-03-24 12:10:24 (UTC+8) |
| Abstract: | Literature maintains that proximity has strong impacts on enhancing interactive
learning and innovation in the clusters (Howells, 2002). Spatial proximity (distance)
can be important sources of knowledge spillover, but other dimensions of proximities
(cognitive, institutional, organizational and social dimensions) are equally important
(Boschma, 2005; 15. Boschma, R., and K. Frenken. 2010; Omobhude and Chen
2019). However, what is less clear is how do interactions occur in the networks to
develop linkage between actors and how do cluster effects enhance the
collaborations in emerging high-tech sectors? To explore the associations that
regional cluster brought to enhance the formation of R&D networks in the emerging
high-tech sector, this paper examines the R&D collaboration network of
biotechnology industry in Taiwan between 1998 and 2017. Combining more than 50
interviews and applying social network analysis on a longitudinal dataset gathered
from financial reports of 180 emerging biotechnology firms who have initiated public
offering (IPO) in Taiwan, this paper aims to explore the R&D collaboration networks
between the actors in the innovation system to understand whether cluster effects
would enhance the R&D collaborations in the high-tech science-based sectors.
Comparing the networks of the firms in this group, a shift from relative sparseness in
1998-2007 to connectedness in 2008-2017 can be readily observed. The finding of
this paper suggest that while the nascent sector stays in a small size, geographical
proximity is not the most important factor to determinate the networking
establishments between the actors in the innovation system. In contrast, the
technological distance, the fit of specialties and the mutual complementary of the
business is the key factor to drive the formation of collaboration networks and
alliances in the biotechnology sector- a science-based sector. To further enhance the
collaboration network in a nascent science-based sector, cluster effects through
policy intervention attempting to stimulate the collaboration networks between the
actors may not be the mostly efficient enhancement. Instead, the strength of local
knowledge base, shorten the technological distance, and enhance the mutual
complementary between the actors would be most important enhancements to
strengthen the local collaboration networks and the knowledge transfer in the
networks. Future technology policy to promote emerging sectors needs to focus on
building the capabilities of the local sector, taking into account the distinct structural
features of local innovation context, rather than copying policy models from the
successful experiences from other sectors or from other countries. |
| Appears in Collections: | [資訊創新與科技學系] 會議論文
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