scholarly journals Industrial clusters - enabling environment for innovation, growth and smart specialization

2015 ◽  
Vol 13 (Suppl.1) ◽  
pp. 312-317 ◽  
Author(s):  
M. Kozhuharov
Keyword(s):  
Industrial Clusters ◽  
Enabling Environment ◽  
Smart Specialization

scholarly journals TOOLS OF CLUSTER POLICY IMPLEMENTATION

2021 ◽  
Author(s):  
Anna Prisyazhnyuk ◽  
Natalia Shulpina
Keyword(s):  
Development Strategy ◽  
National Level ◽  
Industrial Clusters ◽  
Cluster Policy ◽  
Cluster Development ◽  
Goods And Services ◽  
Research And Innovation ◽  
Use Of Resources ◽  
Smart Specialization ◽  
Different Levels

The article considers the current tools for the implementation of cluster policy in Ukraine, taking into account the practice and experience of European countries. The relationship between cluster policies and tools for their implementation at the national, regional and local levels has been studied. It is substantiated that modern attempts to develop and implement cluster policy at different levels in Ukraine are dissonant, fragmentary and have a more declarative than applied content. This is evidenced by the lack of appropriate legislation at the national level and distortions in defining “reasonable specialization” of regions, lack of effective communication, financial donations, mechanisms and tools for promoting and implementing cluster policies in both regions and the state as a whole. Given the above, we will focus the plane of the problem field on the main vectors of integrated cluster policy in Ukraine: tools and programs at the cluster level; tools and programs at the regional level; national policies and strategies that define sectoral priorities and directions of development and are directly related to cluster development (industrial policy, innovation, export, digital), as well as national regional development policy). Mechanisms that determine the general economic course and conditions, primarily tax, financial and organizational instruments. The study of tools for the implementation of cluster policies at different levels has convincingly demonstrated the need for their comprehensive interaction within a single national cluster development strategy. It is thanks to the purposeful policy of promoting the development of clusters in Ukraine that it is possible to develop supply chains of goods and services with their further integration into European value chains; to implement research and innovation strategies of smart specialization in the regions; to solve problems of ecology and efficient use of resources by introduction of ecological innovations, eco-industrial clusters and parks; to equalize socio-economic distortions in the development of sectors of the economic system.

scholarly journals Transition from the industrial clusters to the smart specialization: a case study

2019 ◽  
Vol 1 (2) ◽  
pp. 118-128 ◽  
Author(s):  
Yelena Petrenko ◽  
Elena Vechkinzova ◽  
Viktor Antonov
Keyword(s):  
Industrial Clusters ◽  
Smart Specialization

Industrial Clusters: a New Idea or an Old One?

1999 ◽  
Vol 29 (First Serie (1) ◽  
pp. 73-77 ◽  
Author(s):  
Gavin McCrone
Keyword(s):  
Industrial Clusters

Industrial Clusters: Scotland's Route to Economic Success

1999 ◽  
Vol 29 (First Serie (1) ◽  
pp. 43-58 ◽  
Author(s):  
Ron Botham ◽  
Bob Downes
Keyword(s):  
Industrial Clusters ◽  
Economic Success

Stochastic optimization of economic, financial, information, and logistics inter-cluster cooperation

2020 ◽  
Vol 26 (9) ◽  
pp. 1928-1950
Author(s):  
S.N. Yashin ◽  
Yu.V. Trifonov ◽  
E.V. Koshelev
Keyword(s):  
Public Policy ◽  
Population Growth ◽  
Stochastic Optimization ◽  
Optimization Model ◽  
Federal District ◽  
Industrial Clusters ◽  
Financial Information ◽  
Policy Management ◽  
Federal Districts ◽  
Further Development

Subject. This article deals with the simulation technologies based on the principles of stochastic optimization. They can bring a significant financial effect in the planning of investment development of both individual innovation and industrial clusters and federal districts of the country. Objectives. The article aims to investigate the mechanisms of inter-cluster cooperation within a single district. Methods. For the analysis, we used a stochastic optimization model in view of economic, financial, information, and logistics inter-cluster cooperation within a single federal district. Results. The considered stochastic optimization model of economic, financial, information, and logistics inter-cluster cooperation shows that the increase in fixed investment does not always cause population growth in the federal district regions. Conclusions. The use of a digital twin mechanism of inter-cluster cooperation can help avoid premature unreasonable public policy management decisions regarding the further development of innovation and industrial clusters.

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