Research and development intensive clusters and regional competitiveness

Author:

Kosfeld Reinhold1ORCID,Mitze Timo2

Affiliation:

1. Institute of Economics University of Kassel Kassel Germany

2. Department of Business and Economics University of Southern Denmark Sønderborg Denmark

Abstract

AbstractModern cluster theory provides reasons for positive external effects that accrue from the interaction of spatially proximate firms operating in common and related fields of economic activity. In this paper, we examine the impact of R&D‐intensive clusters as a key factor of regional competitiveness on productivity growth. In relying on a hybrid approach of cluster identification, we examine effects of cluster specialization and diversity for a panel of German NUTS‐3 regions in 2003–2019. After controlling for regional characteristics and unobserved heterogeneity, a robust cluster strength effect (i.e., specialization) on productivity growth is found within the context of conditional convergence across German regions. With regard to the underlying mechanisms, we find that the presence of multiple R&D‐intensive clusters in specific technological fields is most strongly linked to higher levels of regional productivity growth. We also find that advantages from cluster specialization are strongest in key industrial sector such as automobile production, machinery, chemical and pharmaceutical products. Overall, our estimates particularly highlight the working of Marshallian externalities in productivity dynamics, while Jacobs‐type spillovers tend to be partially realized. These findings indicate that some but not all cluster‐based regional development strategies are promising policy tools to foster regional growth processes.

Publisher

Wiley

Subject

Global and Planetary Change

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3