智能专业化战略和区域知识空间:如何将愿景与现实联系起来
Keungoui Kim1, Chiara Ferrante2,3, Dieter F Kogler4
1School of Applied Artificial Intelligence, Handong Global University, Pohang, South Korea.
概括
智能专业化战略 (S3) 与区域知识差异很大,阻碍了创新. 本研究分析了S3政策与当地知识的一致性,为更好的协调提供了解决方案.
科学领域:
- 区域经济学 区域经济学
- 创新政策 创新政策 创新政策
- 知识管理知识管理
背景情况:
- 智能专业化战略 (S3) 是欧盟的区域发展政策.
- 有限的研究存在于S3与区域知识能力的调整.
- 了解这种调整对于有效的政策设计至关重要.
研究的目的:
- 分析164个欧洲地区S3政策与当地知识空间之间的连贯性.
- 评估S3政策在多大程度上针对核心和潜在的知识生产部门.
- 确定S3政策目标和区域约束之间的差距.
主要方法:
- 分析欧洲各地区的S3政策文件.
- 绘制区域知识生产部门的地图.
- 政策知识空间对齐的定量评估.
主要成果:
- 在S3政策重点和区域知识现实之间观察到显著的分歧.
- S3政策往往忽视或错误地确定区域内的"潜在"知识领域.
- 该研究量化了164个欧洲地区的不匹配情况.
结论:
- 目前的S3实施经常无法利用现有的区域知识资产.
- 政策设计需要对当地知识生态系统更加敏感,以实现有效的创新.
- 提供了建议,以弥合S3雄心壮志和区域约束之间的差距.
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