Cluster policy and the innovative activity of industrial enterprises

Author:

Fedorov Sergey1ORCID

Affiliation:

1. Lomonosov Moscow State University

Abstract

The purpose of the article is to assess the possibility of using cluster policy in Russia’s industry as an instrument for developing dynamic competition (encouraging innovation activity). Drawing on the results of a detailed systematic review of the cluster theory, the author identifies the reason for its weak operationality: an implicit premise on entrepreneur’s passive role in the innovation process. He then attempts to remove this premise by explaining the motives of company's behavior through a modified product variety model which is tested on empirical data from the U.S. and Russia. The results of testing show that at similar level of economic activity the geographical concentration of industrial enterprises in a cluster contributes to the intensification of innovation processes. A relatively more competitive behavior of firms in a cluster is explained through the theory of industrial markets and new institutional economic theory. The analysis concludes with valuable recommendations for economic policy.

Publisher

Faculty of Economics, Lomonosov Moscow State University

Subject

Electrical and Electronic Engineering,Building and Construction

Reference60 articles.

1. Авдашева, С. Б., & Шаститко, А. Е. (2003). Промышленная и конкурентная политика: проблемы взаимодействия и уроки для России. Вопросы экономики, (9), 18–32.

2. Голованова, С. В., Авдашева, С. Б., & Кадочников, С. М. (2010). Межфирменная кооперация: анализ развития кластеров в России. Российский журнал менеджмента, (1), 41–66.

3. Гранберг, А. Г. (2006). Экономическое пространство России. Экономика и управление, (2), 11–15.

4. Дроздова, Н. В. (2011) Территориально-производственные комплексы и региональные кластеры: преемственность и перспективы развития. Ярославский педагогический вестник, (3), 125–129.

5. Колосовский, Н. Н. (1969) Теория экономического районирования. М.: Мысль.

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