生产力、智能专业化和创新:

IF 0.7 Q2 AREA STUDIES
Mirko Kruse, Cristina Somcutean, Jan Wedemeier
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引用次数: 0

摘要

本文旨在丰富关于智能专业化研究与创新战略(RIS3)和欧盟宏观区域持续发展的讨论。欧盟宏观区域被定义为地理相关的地方,被认为是社会,经济和历史联系在一起的地方,直到现在,在智能专业化和区域创新的讨论中形成了盲点。本文的实证方法是应用简单的混合ols回归,以生产率为自变量,智能专业化的各种外生变量,欧盟宏观区域的假人,以及2014年至2018年间NUTS2区域内的时间固定效应。由此可以得出结论,智能专业化对生产率有很大的依赖。此外,假设宏观区域内各区域通过共置相互受益。结果并不完美。这给欧盟宏观区域的发展提出了问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Productivity, Smart Specialisation, and Innovation:
The paper aims to enrich the discussion on the Research and Innovation Strategies for Smart Specialisation (RIS3) and ongoing development of macro-regions in the EU. EU macro-regions are defined as geographical related places that are considered to be socially, economically, and historically linked and, until now, make a blind spot in the discussion on Smart Specialisation and regional innovation. The empirical approach of this paper is to apply a simply pooled OLS-regression with productivity as an independent variable, various exogenous variables on Smart Specialisation, dummies on EU macro-regions, and time-fixed effects within NUTS2 regions between 2014 and 2018. From this, it can be concluded that Smart Specialisation has a significant dependency on productivity. Moreover, it was assumed that regions of a macro-region benefit from each other by co-location. The result is not perfect. This raises questions for the development of EU macro-regions.
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来源期刊
Baltic Region
Baltic Region AREA STUDIES-
CiteScore
1.60
自引率
37.50%
发文量
11
审稿时长
24 weeks
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