Nanotechnology and knowledge relatedness: how to identify optimal regional partners in EU innovation networks?

被引:1
作者
Calignano, Giuseppe [1 ]
Lee, Junmin [2 ]
Kogler, Dieter F. [3 ,4 ]
机构
[1] Inland Norway Univ Appl Sci, Dept Org Leadership & Management Campus Lillehamme, Postboks 400 Vestad, N-2418 Elverum, Norway
[2] Pusan Natl Univ, Dept Publ Policy & Management, Busan, South Korea
[3] Univ Coll Dublin, Spatial Dynam Lab, Dublin, Dublin, Ireland
[4] Univ Coll Dublin, Insight Ctr Data Analyt, Dublin, Dublin, Ireland
基金
爱尔兰科学基金会; 新加坡国家研究基金会; 欧洲研究理事会;
关键词
innovation networks; nanotechnology; knowledge space; relatedness; research & innovation policy; collaboration; regional economies; smart specialization strategies; EMPIRICAL-EVIDENCE; DEVELOPMENT COLLABORATIONS; TECHNOLOGICAL KNOWLEDGE; ABSORPTIVE-CAPACITY; SPACE; BASES; PROXIMITY;
D O I
10.1093/scipol/scae032
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Research & Innovation (R&I) policy initiatives employed by the European Union (EU) across its regional economies are important instruments to ensure the scientific and technological progress along with the associated benefits. One relevant aspect in this regard is to encourage and enable collaboration between regional partners to enhance potential learning opportunities and to ensure cohesive long-term development patterns. Furthermore, frequently these initiatives are also targeted at specific technology sectors, such as the EU R&I policy actions towards nanotechnology. Based on an advance theoretical framework and data from the official EU project databases as well as regionalized European Patent Office data, the present study develops a methodological tool through which it is possible to identify effective collaboration settings, while providing policymakers and evaluators with a practical tool that will enable them to predict the possible outcomes of such critical EU-funded R&I projects from the onset.
引用
收藏
页码:879 / 894
页数:16
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