scholarly journals Regional Aspects of the Development of Clustering in the Dairy Branch

2019 ◽  
Vol 22 (4) ◽  
pp. 91-109 ◽  
Author(s):  
Ivan Novikov

In this paper, we study the classical and modern approaches to the formation of regional agro‑industrial clusters. In the current market conditions, the creation of a cluster based on the existing regional infrastructure is impractical. In most cases, clusters are called holding structures that include the full cycle of production, processing and marketing of agricultural products, for example, “dairy clusters” –there are traditional groups of companies that formally follow the classical cluster principles, but do not give individual participants in the production process sufficient organizational and legal autonomy. The conditions for the development of innovation within the cluster, as well as the mechanism for creating the scientific and innovation component of the cluster as a fully‑ledged newly created cluster element are investigated. We show that the cluster should be created on the basis and strict adherence to fundamental organizational and economic principles. In particular, while in holdings the economic result of the activity is aimed at achieving the goals of the parent company, in a cluster the maximum interest in the result and the satisfaction of the economic interests of all participants in equal measure should be laid. Moreover, the classical cluster approach in the current market conditions may be unrealizable and the author’s concept of cluster development is preferable.

2018 ◽  
Vol 170 ◽  
pp. 02006
Author(s):  
Elena Khutieva ◽  
Alexander Maizel ◽  
Marina Vlasova

The exploitation of Arctic resources is becoming now one of the most important directions of Russia’s strategic development. The coordination center for this project is St. Petersburg. The article assesses the potential of this region which forms an essential prerequisite for the effective implementation of the given work from the standpoint of the state and prospects of industrial clusters formed in its territory. The subjects of the cluster environment of St. Petersburg relevant programs of state support are divided into three categories: 2 innovative territorial clusters, 3 territorial clusters, 9 territorial clusters administered by the Center for cluster development. Specific recommendations for them are proposed on the basis of analysis of their strengths and weaknesses, as well as assessment of opportunities and threats to their development.


2009 ◽  
Vol 53 (1-2) ◽  
Author(s):  
Eike W. Schamp

The financial centre - a cluster? A multiscalar approach and evidence from a case study of Frankfurt/Main: The cluster approach has recently been applied in various studies of financial centres, for example of London or Frankfurt. Its current use in financial geography, however, seems to be more metaphorical than analytical. This paper firstly discusses specific sectoral characteristics which make it difficult to simply apply a concept which was developed for the industrial sector to the financial economy. Secondly, value networks in the production processes of financial products indicate that only certain parts of the production process, i.e. knowledge-based, non-repetitive transactions in the network, require local proximities. Following Gordon/McCann in their reasoning on industrial clusters, it is argued that the cluster approach to financial centres calls for a multi-scalar perspective combining the juridical national territory, the advantages of a large urban agglomeration, and, finally, the network externalities of a district within the urban agglomeration, i.e. the “financial district”. This is demonstrated using the example of the financial centre of Frankfurt/RhineMain, a term which stands for the larger urban agglomeration.


2021 ◽  
Vol 19 (8) ◽  
pp. 1420-1456
Author(s):  
Lyudmila I. PRONYAEVA ◽  
Ol'ga A. FEDOTENKOVA ◽  
Anna V. PAVLOVA

Subject. This article studies the processes of clustering of the agro-industrial complex of the Orel Oblast. Objectives. The article aims to develop an improved methodology for identifying regional agro-industrial clusters. Methods. For the study, we used the methods of generalization, localization, formal characterization, and the point-rating and cartographic methods. Results. The article defines modern trends in the clustering of the agricultural economy in foreign countries and Russia, and offers an original method to identify regional agro-industrial clusters. Conclusions. The developed comprehensive approach to the identification of agro-industrial clusters can help systematically arrange organizational work to create them.


2019 ◽  
Vol 27 (01) ◽  
pp. 61-91
Author(s):  
Hadi Notash ◽  
Morteza Rezaei-Zadeh ◽  
Ghanbar Mohammadi Elyasi ◽  
Kambiz Talebi

While trustworthiness is seen as an important factor in success of cluster development agents (CDAs), its antecedent competencies were not identified. Against this gap, the current study seeks to explore the scope and sequence of CDAs’ trustworthiness competencies, highlighting the importance of paying attention to cultivating those competencies. Conducting a number of semi-structured interviews as well as one Interactive Management (IM) session which was empowered by using Interpretive Structural Modelling (ISM) software, 6 trustworthiness competencies seem to be important for CDAs were identified, including: Proficiency, Altruism, Acceptability, Ability to alert stakeholders, Expectation identification ability, and Ability to make cooperation. More importantly, the interdependencies amongst those 6 competencies were identified and modelled, shedding light on the priority and weight of each of those competencies as antecedents of CDAs’ trustworthiness. As the theoretical implementation, this study expressed the importance of trustworthiness for CDAs and modelled the antecedent competencies which need to be obtained by CDAs if they are to be trusted by their clients. If a cluster clients do now trust their agent, they should not be blamed. The trustee need to cultivate those pre-requirement competencies if s/he wants to be trustworthy. As the practical implementation, the findings of this study provide a coherent curriculum for enhancing CDAs’ trustworthiness competencies. This curriculum should be implemented by the economic and development organisations who are dealing with training and preparing agents to take role in activating and extending industrial clusters in different countries.


2016 ◽  
Vol 10 (4) ◽  
pp. 746-769 ◽  
Author(s):  
Xiujie Wang ◽  
Jian Liu ◽  
Can Ma

Purpose The purpose of this study is that on the basis of the competitive edge theory, source mechanism and evaluation approaches of industrial cluster competitiveness, combined with international trends in the automobile industry and the features of Chinese automobile industrial cluster development, an evaluation index system about cluster competitiveness of auto industry is built with comprehensive consideration of factors such as cluster development environment, external scale effect and internal competitiveness from the perspective of value chain of automobile industry. Design/methodology/approach An evaluation index system for automobile industrial cluster competitiveness was realized by integrating current strengths and future growth capacities with multidimensional, dynamic and comprehensive characteristics, which included 3 second-level, 10 third-level and 16 fourth-level indices. In the light of evaluation methods, a group intelligence optimization algorithm – (cuckoo search) – and traditional methods of complex decision-making system – analytic hierarchy process (AHP) – were combined to propose the cuckoo-AHP evaluation method. It was applied for the calculation and optimization of weight values in an automobile industrial cluster competitiveness evaluation index for the purpose of obtaining better scientific and more reliable results. Findings The research might further enrich the evaluation theory of automobile industrial cluster competitiveness and also can be useful for showing how traditional evaluation methods can be combined with intelligent algorithms to carry out better automobile industrial cluster competitiveness evaluations. In addition, studies of channels for kick-starting Chinese auto industrial cluster competitiveness are expected to provide references for how to enhance the cluster competitiveness of the Chinese automobile industry. Practical implications Changsha and Liuzhou, the Guangxi automobile industrial clusters as the two empirical analysis objects selected for this paper, are geographically adjacent to each other. The automobile industries of the two cities are local pillar industries with the strong support of the local government. Both clusters have their own advantages and weak points with different characteristics of cluster development, and they enjoy a representative significance amongst China’s numerous auto industrial clusters that are taking shape. Comparative analysis of both clusters serves as a good reference for the objective evaluation of the competitiveness of Chinese automobile clusters in terms of their real and practical developments and in respect of the success of reasonable scientific and industrial cluster policies. Originality/value Multidimensional, dynamic, integrated evaluation index systems are constructed around automobile industrial cluster competitiveness, which has taken into account developments in current strengths and future growth capacity. The cuckoo-AHP evaluation method has been formed by combining the traditional decision-making method known as AHP with a new meta-heuristic optimization algorithm called “cuckoo search”. Both have been used in evaluations of automobile industrial cluster competitiveness in Liuzhou and Changsha, which will be beneficial for enriching automobile industrial cluster competitiveness evaluation theory and new evaluation methods that will enable better evaluations of automobile industrial cluster competitiveness.


Author(s):  
V.U. Abdykadyrova

Thе article examines the relevance and problems of cluster development in the conditions of a market economy in the Kyrgyz Republic, noting that they are not sufficiently developed by both scientists and specialists, despite having natural and labor resources. It is noted that the Kyrgyz Republic has all the prerequisites for their integrated use and the creation of new industries, based on the existing infrastructure, mineral and fuel and energy resources, agricultural products, recreational conditions and employment of the local population with a reduction in migration flows to the Russian Federation, Kazakhstan and other countries.


Author(s):  
Tatyana Yurievna Kovaleva

In modern conditions clusters are considered as an effective tool for achieving sustainable economic growth in the regional economy. Their successful development is a decisive condition for creating a new management model based on the priority of innovative production renewal. In this regard, the creation of high-tech and efficient clusters should become the main direction of strategic management of territorial development by the state authorities of the Russian Federation subjects. However, the solution of this task is impossible without the development of an appropriate methodology and techniques for assessing the effectiveness of the regional economy clustering, which could be used in the development of cluster initiatives and preparation of state programs for regional cluster development. The article highlights the main results of the research carried out under the RFBR grant «Effectiveness of cluster spatial development of the region in conditions of transition to an innovative economy» No 16-12-59011 in 2016-2017. Theoretical and methodological grounds for developing a multi-criterial approach to assessing the cluster effectiveness of the regional economic space have been formulated. Interpretation and distinctive features of the cluster as a self-developing system are given. Configuration of the effectiveness criteria for cluster spatial development of the economy is proposed, which is a primary visualization of the cluster criterial efficiency model. Description of the criterial and indicative approach to the analysis of the effectiveness of regional economy cluster development is given and an integral indicator is proposed for its evaluation. Methodology for assessing the Regional cluster index was tested in nine regions of the Russian Federation, which territorial clusters were officially registered in the Register of industrial clusters 2016 of the Ministry of Industry and Trade of the Russian Federation. Results of the survey can be of interest to representatives of the government bodies at various levels, heads of specialized cluster structures, enterprises and organizations that are members of clusters.


2021 ◽  
Author(s):  
Anna Prisyazhnyuk ◽  
Natalia Shulpina

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.


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