Formation of Regional Clusters as a Factor in the Investment Development

10.15535/273 ◽  
2014 ◽  
Vol 29 (3) ◽  
Author(s):  
Viktor Gusak
Keyword(s):  
2020 ◽  
Vol 30 (4) ◽  
pp. 437-453
Author(s):  
Chung-Shing Lee ◽  
Drew Martin ◽  
Pi-Feng Hsieh ◽  
Wan-Chen Yu

2007 ◽  
Vol 8 (3) ◽  
pp. 165-174 ◽  
Author(s):  
Pam McRae-Williams ◽  
Julian Lowe ◽  
Peter Taylor

Responses from a questionnaire survey of wine and tourism businesses operating in regional clusters were analysed using factor analysis. These suggested three factor scores relating to entrepreneurial behaviour; four factor scores relating to cluster activities and attributes; and three factors relating to the respondents' personal characteristics. The three entrepreneurial behaviour factor scores were interpreted as: innovator, calculator and venturer. These were used as dependent variables in regression models. The independent variables were the cluster and personal characteristics factor scores, industry and place. The central result was that the cluster activity variables did not have a significant impact on the innovator behaviour variable, which contradicts the standard view. Cluster activities and attributes were found to attract entrepreneurs of the calculator kind, and to a lesser extent, of the venturer kind. Place did seem to offer an attraction to entrepreneurs beyond those offered by the intensities of the cluster activities and attributes.


Author(s):  
Yuri V. Kravtsov ◽  
◽  
Konstantin S. Baikov ◽  
Sergey V. Solovev ◽  
Elena V. Baikova ◽  
...  

2021 ◽  
Vol 129 ◽  
pp. 08015
Author(s):  
Natalia Pashkus ◽  
Nadegzda Starobinskaya ◽  
Petr Shvetc

Background of the study: In the current situation of the global COVID-19 pandemic the role of a strong medical cluster operating in a specific territory in a specific region or even in a country is incredibly increasing. A strong regional medical cluster in these conditions determines the level of health of the population, the ability to cope with the serious challenges of the pandemic and minimize its negative consequences, both the health of citizens and the economy of the region. Purpose of the article: The purpose of this paper is to determine the factors that have the strongest impact on the competitiveness of medical organizations in the region in the new conditions of a pandemic and its consequences, as well as to identify promising mechanisms for its assessment and ranking. Methods: In this work, methods of statistical, strategic and matrix analysis are used, on the basis of which the factors of competitiveness of healthcare organizations in the region can be determined and ranked, which makes it possible, by ranking, to identify the most significant of them during the COVID-19 pandemic and its consequences. Findings & Value added: The results of this study made it possible to test new mechanisms for assessing the competitiveness of healthcare institutions in the new conditions of a pandemic and to study the influence of the most significant factors of competitiveness on the regional and global competitiveness of the region in the conditions of COVID-19.


The purpose of the article is socio-geographical and economic justification of trends, models, mechanisms and priorities for improving managerial system of natural economic systems and territorial economic complexes in the context of decentralization based on adaptation of the clusters model of M. Enright. Main material. Mechanism for managing united territorial communities` natural and economic systems development to ensure sustainable geospatial development of territories based on the example of Kherson region has been applied in the article. It has been proven that the effectiveness of reforms’ progress can be ensured by further consolidation of united territorial communities (UTC) and their clustering. Moreover, the clusters can go outside current administrative districts` boundary, which since 2017 has been fully regulated by the law. To prove the mechanism of UTCs consolidation, it has been proposed to use the model of regional clusters of M. Enright, which was adapted for united territorial communities. To determine the prospects for further UTCs consolidation in Kherson region, followed by the definition of economically proved new zoning, the cluster analysis has been applied. The following criteria for clustering have been chosen: income per capita; own income per capita; infrastructure subsidy per capita. Conclusions. Socio-geographical and economic reasons for the reforming tools of the administrative-territorial system based on the example of Kherson region have revealed and substantiated the relevance of cluster approach in the process of UTCs and their associations` formation. UTCs associations aim to stimulate their development, rationally use available and potential resources, to ensure joint investment activities and project-management. It has been proposed to implement UTCs consolidation on the basis of cluster approach. Clustering, as the example of Kherson region, has been carried out based on the key socio-economic indicators per capita, namely: own incomes, infrastructure subsidy and basic / reverse subsidy. This allowed us to identify and map clusters of the formed UTCs and identify prospects for area without UTCs incorporation (within relevant village councils). UTCs consolidation was based on the characteristics of capacity, self-sufficiency, sustainable development, territorial and functional balance of community interests. This will allow to develop methodological and procedural recommendations for strategic documents at UTC level. Their relevance will be increased in the context of climate change and tackling national economic crisis.


2013 ◽  
pp. 123-133 ◽  
Author(s):  
S. N. Rastvortseva ◽  
N. A. Cherepovskaya
Keyword(s):  

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