Towards An ‘Ideal’ Cluster Support Program: Blending The Approaches

E. Kutsenko, Ekaterina Islankina, Vasily Abashkin, E. Popova
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Abstract

Clusters have become a major element of innovation and industrial policies in many countries worldwide. Over the years, targeted cluster support programs have been designed and implemented, each featuring a variety of approaches to the selection of clusters, terms and prerequisites for funds allocation, the areas of support, etc. Such approaches have both the advantages and drawbacks, which leads to a conception of an ‘ideal’ support program mix that could consider the best practices and ignore some unsuccessful solutions. The working paper aims at suggesting such an ‘ideal’ approach to designing a cluster support program, based on the synchronization of the most effective elements of various such programs in Russia. Over the past decade, cluster policy has occupied an important position in the agenda of the Russian Government. Two federal Ministries – the Ministry of Economic Development and the Ministry of Industry and Trade initiated several cluster support programs for innovative and industrial clusters. Nowadays, there are more than 118 clusters in Russia, and over a half of them benefit from current public support measures – 27 innovative clusters, 42 industrial and 12 leading clusters. The comparative analysis of federal support programs revealed several benefits and limitations in both approaches in terms of subsidy allocation principles, areas of support and cluster selection criteria. In particular, among the key advantages of innovative clusters programs are the focus on cluster management development, and identifying the strongest clusters through one-time selection procedure. The successful features of industrial clusters program are permanent application process, reduction of budget risk due to compensation principle of funding, and stimulation of cooperation through special requirements for joint projects. The major disadvantages of innovative cluster support programs are budget risks caused by advanced financing of cluster activities, and a lack of project focus; the probability to support low-quality projects and neglecting the issue of cluster management development are the key weaknesses within the industrial clusters program. The paper suggests a ‘smart’ synchronization of approaches to cluster support, which blends the best practices of different ministries.
迈向“理想”集群支持计划:混合方法
在世界上许多国家,集群已经成为创新和产业政策的重要组成部分。多年来,设计和实施了有针对性的集群支持方案,每个方案都有多种选择集群的方法、资金分配的条件和先决条件、支持的领域等。这样的方法既有优点也有缺点,这导致了一种“理想的”支持方案组合的概念,它可以考虑最佳实践,而忽略一些不成功的解决方案。该工作文件旨在提出这样一种“理想”的方法来设计一个集群支持计划,该计划基于俄罗斯各种此类计划中最有效的要素的同步。在过去十年中,集群政策在俄罗斯政府的议程中占有重要地位。两个联邦部委——经济发展部和工业和贸易部发起了若干支持创新和产业集群的集群计划。如今,俄罗斯有超过118个集群,其中一半以上受益于目前的公共支持措施——27个创新集群,42个工业集群和12个领先集群。对联邦支持计划的比较分析揭示了两种方法在补贴分配原则、支持领域和集群选择标准方面的一些优点和局限性。特别是,创新集群计划的主要优势之一是专注于集群管理发展,并通过一次性选择程序确定最强大的集群。产业集群方案的成功特点是申请过程的永久化、资金补偿原则降低了预算风险、通过对联合项目的特殊要求促进合作。创新集群支持方案存在的主要弊端是集群活动融资超前带来的预算风险和缺乏项目重点;支持低质量项目的可能性和忽视集群管理发展问题是产业集群规划的主要弱点。这篇论文提出了集群支持方法的“智能”同步,它融合了不同部委的最佳实践。
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