Smart Specialization Strategies at National, Regional, or Local Levels? Synergy and Policy-making in German Systems of Innovation

H. Ruhrmann, M. Fritsch, L. Leydesdorff
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引用次数: 3

Abstract

Employing a quantitative, data-driven tool - the Triple Helix Indicator - to microdata of firms in Germany, we develop an evidence base for innovation-policy strategies. We aim to answer the question which level of government (local, regional, national) might be most effective for strategic innovation policy-making based on smart specialization in Germany. The empirical results show that the country is decentralized to the extent that it cannot be considered a "national" innovation system. More than two-thirds of innovation-system synergy is generated at the lower levels of districts (NUTS3) and Governmental Regions (NUTS2). In high-tech and medium-tech manufacturing, former East and West Germany, as well as North and South Germany, can be considered separate sub-national innovation systems. These findings strengthen the case for region- and context-specific innovation policies. The results illustrate the value of the Triple Helix Indicator for systematic regional mapping and serve as evidence for policy-makers to expand RIS3 policy strategies to the regional and local level in Germany.
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国家、地区还是地方层面的智能专业化战略?德国创新体系中的协同与决策
我们采用量化的数据驱动工具——三螺旋指标——对德国企业的微观数据进行分析,为创新政策战略建立了证据基础。我们的目标是回答这样一个问题:在德国,基于智能专业化的战略创新决策中,哪一级政府(地方、区域、国家)可能最有效。实证结果表明,我国的分权程度已经不能被认为是一个“国家”创新体系。超过三分之二的创新系统协同作用产生于较低层次的地区(新技术成果第三版)和政府区域(新技术成果第二版)。在高技术和中等技术制造业方面,前东德和西德,以及德国北部和南部,可以被视为独立的地方创新体系。这些发现加强了针对地区和具体情况制定创新政策的理由。研究结果说明了三螺旋指标在系统区域制图中的价值,并为政策制定者将RIS3政策策略扩展到德国的区域和地方层面提供了证据。
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