智能专业化的技能:相关性、复杂性和优先级评估

IF 2.4 3区 经济学 Q2 ECONOMICS Papers in Regional Science Pub Date : 2023-10-16 DOI:10.1111/pirs.12756
Duygu Buyukyazici
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引用次数: 0

摘要

摘要智能专业化理念要求区域根据自身能力和优势设计战略。本研究提供了一个以工作场所知识和技能的形式实证整合区域能力与智能专业化概念的框架。智能专业化概念需要对区域能力和优势进行全面评估,以便能够定义特定区域的政策,以实现创新主导的增长。然而,实证智能专业化文献并没有明确说明区域能力,即使政策设计和评估理想情况下应该借鉴它们。本研究提出了一个基于区域工作场所知识和技能的框架,这些知识和技能是区域能力的良好代表。在这方面,它根据以技能相关性和技能复杂性为特征的区域技能基础来评估区域的智能专业化优先级。通过这样做,它分析了智能专业化战略在多大程度上建立在区域能力和优势之上。研究表明,区域异质性在智能专业化政策设计中起着重要作用。高收入地区倾向于优先考虑有足够能力的产业,而低收入地区则选择新的生产路径。
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Skills for Smart Specialisation: Relatedness, Complexity and Evaluation of Priorities
Abstract The smart specialization concept requires regions to design their strategies based on regional capabilities and strengths. The present study provides a framework to empirically integrate regional capabilities in the form of workplace knowledge and skills with the smart specialisation concept. The smart specialisation concept requires a thorough assessment of regional capabilities and strengths to be able to define region‐specific policies to reach innovation‐led growth. %However, the empirical smart specialisation literature does not explicitly account for regional capabilities even though the policy design and evaluation should ideally be drawn on them. The present study proposes a framework that is based on regional workplace knowledge and skills which are good proxies of regional capabilities. In this regard, it evaluates the smart specialisation priorities of regions with respect to their industry spaces built upon regional skill bases characterised by skill relatedness and skill complexity measures. By doing so, it analyses to what extent smart specialisation strategies are built on regional capabilities and strengths. It shows that regional heterogeneity plays an important role in the smart specialisation policy design. High income regions tend to prioritise industries in which they have enough capabilities while low income regions opt for new production paths.
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来源期刊
CiteScore
4.40
自引率
4.80%
发文量
58
期刊介绍: Regional Science is the official journal of the Regional Science Association International. It encourages high quality scholarship on a broad range of topics in the field of regional science. These topics include, but are not limited to, behavioral modeling of location, transportation, and migration decisions, land use and urban development, interindustry analysis, environmental and ecological analysis, resource management, urban and regional policy analysis, geographical information systems, and spatial statistics. The journal publishes papers that make a new contribution to the theory, methods and models related to urban and regional (or spatial) matters.
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