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Статті в журналах з теми "Regional economic clusters":

1

Zharov, Andrey, and Anna Tkachenko. "REGIONAL CLUSTERS AS POTENTIAL POINTS OF ECONOMIC GROWTH." Interexpo GEO-Siberia 5 (2019): 200–206. http://dx.doi.org/10.33764/2618-981x-2019-5-200-206.

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Clusters are an effective means for the development of territories, the creation of which in our opinion should be based on a properly formed cluster policy. This article considers the potential of the Novosibirsk region development on the basis of the cluster approach and proposes the main directions that are necessary for the regions in the formation of clusters and cluster policy.
2

POCHKIN, E. O. "ROLE OF CLUSTERS IN REGIONAL ECONOMIC DEVELOPMENT POLICIES." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 1, no. 8 (2021): 175–78. http://dx.doi.org/10.36871/ek.up.p.r.2021.08.01.023.

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The article shows that regional economic development organizations often declare the presence of several clusters in the region; it is advisable to approach cluster practice from the point of view of an organization working with several clusters, rather than using a single (successful) cluster initiative.
3

Resbeut, Mathieu, and Philippe Gugler. "Impact of clusters on regional economic performance." Competitiveness Review 26, no. 2 (March 21, 2016): 188–209. http://dx.doi.org/10.1108/cr-09-2015-0078.

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Purpose – This paper aims to examine the methodology used to identify clusters on the one hand and assess the economic impact that those may have on regions on the other hand. Design/methodology/approach – The influential work on “clusters”lead by Michael Porter since the 1990s has become a tool for promoting innovation and growth at national and regional level. Even if the theory has become very popular, a few empirical investigations were conducted since. In a recent study, Delgado, Porter and Stern developed a model to investigate the impact of cluster composition on the performance of regions in the USA. They find strong evidence that industries operating in a strong cluster environment perform better. The aim of this study is to improve the methodology used in evaluating the cluster environment and then to replicate their model and apply it to a highly competitive industry in Switzerland, namely, the precision goods sector. It enables to look closely at the importance of the microeconomic environment surrounding an industry at the regional level. Findings – In Switzerland, the precision industry forms a traded cluster in three different regions. The model then reveals that those regions perform better. The results show that industries located in or nearby regions with a strong cluster environment experience higher employment growth rates. Originality/value – It highlights the importance of the microeconomic environment even in small competitive countries.
4

Borkova, Elena, Aleksandra Chulakova, Neli Muntean, Anton Plotnikov, and Vladimir Plotnikov. "Competitive regional clusters: international experience." E3S Web of Conferences 135 (2019): 03046. http://dx.doi.org/10.1051/e3sconf/201913503046.

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Many countries is developing in the context of a multitude of global trends and challenges that noticeably change the “picture” of the world, positions, interests and opportunities of various players. An important role in the formation and change of this “picture” belongs to the sphere of science, technology, and innovation. Over the past 20 years, the European Commission has paid attention to the development of cluster policy. Today stands out several trends in the development of European cluster policy. In our opinion, economic activity in clusters tends to concentrate in certain areas, thus, clusters contribute to regional development and overcoming economic imbalances. Studying the accumulated European experience in the field of cluster initiatives and current trends allows us to identify the advantages and disadvantages of the existing mechanisms for the formation of Russian clusters. The article analyzes the Russian experience in the implementation of programs for the development of pilot regional innovation clusters and formulates signs of their sustainability.
5

Bulavko, Olga A., and Kristina A. Koventseva. "Development of spatial and economic organization of economic management in the regions of Russia." Social And Political Researches 4, no. 13 (2021): 85–96. http://dx.doi.org/10.20323/2658-428x-2021-4-13-85-96.

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Currently, the development of the spatial and economic organization of economic management is due to the emerging opportunities for economic growth of the regions. The relevance of effective cluster policy is mainly related to the transition of the Russian economy to innovative development. An analysis of the main economic indicators of Russia's development in 2021 indicates the country's transition to economic growth, which is based on the development of territorial clusters that unite scientific and educational institutions, business, and authorities. According to the Russian Cluster Observatory of the National Research University “Higher School of Economics”, there are currently 26 innovative territorial clusters in Russia, as well as more than 125 industrial clusters, which employ more than 1000 companies with a total number of employees over a million people. The development of the cluster policy of the state was discussed in the works of A. V. Babkin, E. A. Golyashina, G. R. Khasaev, V. V. Chekmarev and others, the regional aspect of the cluster policy was analyzed by L. G. Batrakov, Yu. G. Lavrikov, L. S. Mokin and others, the issues of improving the complex based on the development of regional industrial clusters are reflected The goal of many studies was to develop a mechanism for cluster development, in particular on the basis of multichannel investment. Important problems of cluster policy development in the regions are: identification of factors of competitive advantages of regional clusters; increasing industrial production indices as a tool for effective cluster policies; Evaluation of effective cluster development; implementation of the “triple spiral” model in the regions.
6

Васильченко, Анастасія Олегівна, та Сергій Олександрович Дем`янов. "АНАЛІЗ ЕКОНОМІКО-ГЕОГРАФІЧНИХ ПІДХОДІВ ДО ІДЕНТИФІКАЦІЇ РЕГІОНАЛЬНИХ КЛАСТЕРІВ". TIME DESCRIPTION OF ECONOMIC REFORMS, № 3 (22 жовтня 2021): 11–21. http://dx.doi.org/10.32620/cher.2021.3.02.

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This article is devoted to the study of economic and geographical approaches to cluster identification at the regional level. Most modern research on the identification of regional clusters is aimed at studying economic aspects, almost completely ignoring geospatial factors. The aim of the research is to analyze economic and geographical approaches to the identification of clusters at the regional level, taking into account the problem of variability of area units. The subject of the research is the study of approaches to the identification of clusters at the regional level. The study used such methods as: comparative, statistical, descriptive, systemic, analysis and synthesis. Research hypothesis. Identifying methodological limitations of cluster identification methods at the regional level in the context of economic and geographical approaches will allow a more comprehensive consideration of the cluster potential of the territory, determine the confidence interval and identify cluster structures at different levels of aggregation. The statement of basic materials. This article considers economic and economic-geographical methodological approaches to the identification of regional clusters (model of intersectoral balance, multi-sector analysis, localization and specialization coefficients, Ellison-Glaser index, Duranton-Overman method of the smallest distances, Propulsive indicators, etc.); the classification of methods of identification of regional clusters which take into account aggregation of territories is given; the technique of primary estimation of cluster potential of the territory and typology of industries on a parity of regional and branch conditions of development is offered; the index of spatial clustering is analyzed. The originality and practical significance of the research is due to the geospatial factors of clustering (MAUP) in the identification of regional clusters, which allows to determine the geographical boundaries and the unique clustering threshold for clusters at different levels of aggregation. Analysis of economic and geographical approaches to the identification of regional clusters taking into account the geospatial aspects of clustering allows to determine the degree of concentration / dispersion at certain intervals of distances with justification of clustering thresholds at different levels of aggregation. Conclusions and perspectives of further research. The economic-geographical approach to the identification of regional clusters, in contrast to the economic one, takes into account the MAUP factor, which allows to use it at different levels of aggregation and to determine geographical boundaries and a unique clustering threshold. However, further research is needed on methods for identifying regional clusters in order to develop an integrated approach that will take into account as many factors as possible and allow the most accurate identification of potential cluster formations.
7

Belleflamme, Paul, Pierre Picard, and Jacques-François Thisse. "An Economic Theory of Regional Clusters." Journal of Urban Economics 48, no. 1 (July 2000): 158–84. http://dx.doi.org/10.1006/juec.1999.2161.

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8

Grublienė, Violeta. "LITHUANIAN CLUSTER OF SEA ECONOMICS – INSTRUMENT OF SUSTAINABLE REGIONAL DEVELOPMENT." Business, Management and Education 8, no. 1 (December 20, 2010): 66–78. http://dx.doi.org/10.3846/bme.2010.05.

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The article analyses problems of cluster’s formation in Lithuania. The reasons why clusters in Lithuania are evolving slowly are described in this article. Also cluster’s development process in a logical sequence is submitted. The article accented that the Lithuanian cluster’s policy principles should assess the specific Lithuanian conditions, the positive foreign experience and strategic objectives of competitiveness.Lithuanian status of fisheries sector is estimated. Also the main problems in this sector are named: complexity of management, decreasing of fishing quota, shorter season of cod fishing, economic problems. The article made assumptions that the clustering process should ensure more sustainable development of the sector, a new operational quality creating the ability to compete at lower prices and innovation. Also it was emphasized that clustering processes should assess such factors as: sector’s culture, competitive opportunities and sustainable development of the region.During formation of this cluster it is recommended to assess the fisheries sector as the component of Lithuanian maritime economy. Lithuanian maritime cluster should be developed allowing for common features inherent in clusters, assessing sustainable development principles of the sector. In this way Lithuanian maritime cluster combines not only the fisheries sector but also the activities characterized by Lithuanian maritime economy.
9

Rakuta, N. V., and T. E. Sitokhova. "Conceptual approaches to the formation of regional economic clusters." Upravlenie 7, no. 4 (January 27, 2020): 76–83. http://dx.doi.org/10.26425/2309-3633-2019-4-76-83.

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Clustering of the economy of individual territories determines the most effective integration their into the world economic system, makes it possible for the accumulation and optimal use of resources from the point of view of global trends, contributes to the efficiency of state industrial policy. Clusters have become one of the main driving forces and determinants of regional competitiveness, the effectiveness of which is confirmed by world experience. They make it possible to increase the competitiveness not only of their enterprises, but also of specific industries within the region, as well as to expand the introduction of innovations, reduce transaction costs, develop and strengthen the relationship between business, science and the state. The resulting synergistic effect of creating a cluster is not only to increase the efficiency of its work as a whole in comparison with the efficiency of individual participants, but also to mutually strengthen the competitive position of both industry production and its home territory.The content characteristic of the concept of “economic cluster of the region”, which distinguishes the author’s approach from other well-known scientific approaches by the fact that as part of regional clusters, a special kind of them can be distinguished-an economic cluster of small enterprises, which is a localized and geographically concentrated group of small businesses, interconnected and complementary to each other, has been clarified in the article. In the center of cluster education are one or more large and stable in their development enterprises, that provide effective demand, have common (similar) economic interests, a common development strategy aimed at activating the activities of small enterprises in the region.Small enterprises, that are part of the regional economic cluster can provide the region with a higher level of production efficiency and competitiveness in comparison with other non-systemically organized economic structures.
10

Smorodinskaya, Nataliya V., and Daniel D. Katukov. "When and why regional clusters become basic building blocks of modern economy." Baltic Region 11, no. 3 (2019): 61–91. http://dx.doi.org/10.5922/2079-8555-2019-3-4.

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In this paper, we examine the modern cluster theory and the specific features of regional innovation clusters as complex adaptive systems. Clusters have become a typical pattern of industrial organization in national economies under their transition to innovation-driven model of growth. We provide an overview of the contribution of various theoretical frameworks (evolutionary theory, spatial development theory, theory of technological change and system innovation, and Porter’s competitiveness theory) to the cluster concept and consider the latter from the perspective of complexity economics. On this basis, we differentiate true clusters from their nominal counterparts and propose three analytical dimensions to explore clusters, namely, as a special class of industrial agglomerations, as a special class of innovation ecosystems, and as a special class of economic projects (cluster initiatives). We examine the properties of clusters corresponding to each class and demonstrate their role in the geographical and functional fragmentation of production, in the integration of local exporters into global value chains, and in bridging communication gaps and developing collaboration among economic agents. We show that clusters occupy a central place among various types of business networks and have a comparative edge making them key building blocks of the modern industrial landscape. Further, we explain how the innovation capacity of clusters is affected by network synergy effects arising from the triple-helix pattern of collaboration among their participants. Finally, we draw conclusions regarding national cluster supporting policies, including those applied in modern Russia.

Дисертації з теми "Regional economic clusters":

1

Zeelie, Eben Johannes. "Benchmark value chain clusters, agglomeration economies and dynamic externalities : an intergrated approach to regional economic development." Thesis, Nelson Mandela Metropolitan University, 2009. http://hdl.handle.net/10948/1086.

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From the broad overview of the cluster literature, the proposition emerges that the manipulation of regional economic structural and cluster factor conditions within a geographically proximate region can translate into sustainable regional economic growth outcomes. As a first step in exploring this research, a theoretical framework for the conceptualisation of industry clusters was established and a methodological framework applied to statistically identify major manufacturing value chain clusters in the Eastern Cape Province. This methodology combines a strength-of-linkage measure for all pairs of supply and use sectors (as revealed in the systematic analysis of intermediate purchasing and sales patterns in the South African Final Supply and Use Tables: 2002) with the application of Ward’s hierarchical cluster algorithm to map the national benchmark value chain clusters in the South African national economy. The ensuing national value chain benchmark cluster framework was then transposed to the Eastern Cape Province to reveal cluster concentrations and gaps that exist in the value chain clusters in the province. The methodology applied in this study provides an objective and clear perspective of inter-industry linkages in the South African economy and produces more detailed and evenly distributed clusters than traditional cluster identification methodologies. Secondary linkages were determined for each of the twenty-six core value chain clusters to depict the diversity of sectors linked to the respective core clusters. In transposing the national benchmark value chain cluster framework onto the Eastern Cape Province economy, a number of distinct advantages emerge. Firstly, it reveals gaps in value chain cluster groupings that may be filled through industry recruiting or regional business development strategies. However, not all industries absent from value chain clusters in the region are equally attractive for recruitment. Henceforth, the number of direct and indirect linkages to industries absent from the Eastern Cape Province serves as a measure of their relative attractiveness when considering their recruitment into the region. vi The benchmark value chain cluster framework alone does not explain which agglomeration externalities are generated and exploited within each cluster, but it served as the overarching framework for the remainder of the research. Accordingly, the value chain cluster framework was applied to evidence whether specialisation, competition or diversity (represented by MAR, Porter and Jacobs economies respectively) is the operative mechanism in generating cluster growth in the Eastern Cape Province. Since agglomeration externalities are not directly observable, construct-valid indicators for the various externalities, as well as appropriate mechanisms to empirically assess the statistical relevance of MAR-, Porter and Jacobs economies in stimulating cluster growth, were established. This thesis added to agglomeration literature by disaggregating the standard measure of diversity externalities into two unique diversity indicators, namely supply diversity (SDiv) and use diversity (UDiv). The SDiv- and UDiv coefficients measure the degree to which a value chain cluster’s supplying/user sectoral mix at provincial level differs from that of the cluster grouping at the national level. This distinction between supply-and use diversity developed in this study firstly provides a clearer insight into the relative regional presence of supplying- and using sectors to the various value chain clusters, and secondly, serves as a useful mechanism to regional policymakers in identifying industries that may be targeted for investment into a region. Therefore, by separating the diversity into its two components, a clear distinction can be drawn between the impact of supplying- and using sectors on value chain cluster growth in a particular region. From a narrow perspective, the empirical findings validate both the Marshall Arrow Romer- (small positive impact of regional cluster concentration) and the Jacobs theory (significant positive impact of cluster supply- and use diversity on cluster growth), while it invalidates Porter’s theory (no correlation between competition and cluster performance). The positive effect size recorded between the level of value chain cluster concentration and differential growth indicates that policy makers in the Eastern Cape Province will be well advised to direct growth interventions towards larger concentrated clusters, than towards smaller, incipient value chain clusters. Additionally, vii the effectiveness of targeted inward FDI to the Eastern Cape Province may be raised by evaluating the economic impact against current value chain cluster structure, as well as the effect on the supply- and use diversities of existing value chain clusters in the province. This thesis has also illustrated that value chain clusters that are concentrated in the region, show a positive effect size with the level of supply diversity in the region. Conversely, value chain clusters that reflect high levels of competitiveness record a positive effect size with use diversity. Policy interventions aimed at raising the performance of value chain clusters typified by smaller players in a competitive environment, should therefore consider raising the respective levels of use diversity in the region. This research awakens the proposition that a reliance on a serendipitous approach to generate dynamic externalities is not sufficient, and that certain factor conditions favour the transfer of tacit knowledge between cluster members. Accordingly, this research empirically explored whether statistically significant relationships can be detected between the common cluster elements, or factor conditions, that serve as conduits for the transfer of dynamic externalities and value chain cluster growth in the Eastern Cape Province. The findings indicate that linkages with knowledge generating institutions in the Eastern Cape Province do, albeit to a relatively small extent, have an impact on value chain cluster growth, and validates the assertion that cognitive enhancing institutions contribute to cluster growth. The importance of backward and forward linkages in nurturing regional growth is signified by the moderate effect size recorded by the level of vertical linkages and total value chain cluster growth. Similarly, a moderate effect size was recorded between the level of horizontal linkages and value chain cluster growth, which shows that cooperation amongst competing firms do stimulate cluster and regional growth in the Eastern Cape Province and affirms the proposition that inter-firm linkages on both vertical- and horizontal levels stimulate cluster growth. An expectation was that the institutional framework conditions would have a significant impact on value chain cluster growth in the Eastern Cape Province. However, the empirical findings reflect that the institutional framework conditions have no statistical impact on value chain cluster growth. The study also found a moderate, positive effect size between value chain cluster size (number of employees) and growth, which shows viii that size matters in regional growth. In other words, in contrast to their European counterparts, the larger the number of employees per value chain cluster, the greater the impact on value chain cluster growth in the Eastern Cape Province.
2

Bozkirlioglu, Ali. "Cluster Potential In Industrial Sectors Of Samsun: Kutlukent Furniture Cluster Study." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/3/12605603/index.pdf.

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The present study investigated whether cluster potentials could be identified in the geographical area within the boundaries of Samsun province, and if identified, how such a potential could be promoted through corresponding support measures. Development of policy recommendations for promotion of identified cluster potential was the principal goal of the study. The course of the study was characterized by a cluster-based policy-making process in the policy environment, i.e. Samsun province. The process includes a descriptive part, i.e. cluster analysis, and a prescriptive part, i.e. determining policy goals and designing policy instruments. In the literature review, a guide to the field study was developed by review of various approaches to cluster concept
common features of clusters and the competitive advantages these give rise to
various practices in cluster-based policy development, and various cluster analysis methods. The field study starts with the initial identification of need for policy intervention, at which stage the rationale for pursuing a cluster-based policy in the specific conditions of Samsun and Turkey was discussed. The &ldquo
clusters as sectors&rdquo
approach was utilized in the identification of region&rsquo
s (potential) clusters and selection of the cluster as the subject of analysis and policy development. The analysis of industrial sectors in Samsun&rsquo
s economy was followed by selection of the target sector via employing various criteria assessing the importance of these sectors in terms of value added to the regional economy, and the clustering potential. Accordingly, furniture sector was selected, and the agglomeration of furniture sector enterprises in Kutlukent locality was identified as the potential cluster to be the subject of analysis and policy development. Following the identification of the potential cluster, the descriptive part was completed by second-stage micro-level analysis of the identified potential cluster, by which detailed information about the potential cluster was presented. At that phase, cluster potential of the structure was assessed by examining the elements in cluster value and production chain
public and private business support infrastructure
the flow of materials and goods in the chain
untraded relationships between the elements
characteristics of enterprises and workforce
and innovation performance. This comprehensive in-depth analysis of the cluster provided the required information to identify the specific needs of the cluster for cluster-based policy intervention. In the last part of the thesis, i.e. prescriptive part, cluster-oriented policy recommendations were developed including the determination of policy goal and the design/selection of policy instruments. The necessary information was collected by two-stage expert interviews, and by overall scan of the enterprises involved in the cluster via enterprise survey, which was realized in interviews with all of the enterprises. Six experts and 283 enterprises participated in the study. The results of the analysis showed that, while Kutlukent furniture cluster had some features, which are common in effective cluster models, the cluster lacks some critical features, which are crucial for effective functioning of a successful cluster. Hence, Kutlukent furniture cluster was defined as a &ldquo
potential&rdquo
cluster, which should be promoted by utilizing the existing potentials and strengths, and by addressing the weaknesses and obstacles identified in the analysis of the cluster, via appropriate cluster-oriented policy measures, which were proposed in the prescriptive part of the policy-making process. By these measures, the elements of Kutlukent potential cluster would be able to realize competitive advantages associated with clustering as in successful cluster models.
3

Pohl, Alina. "Eco-Clusters as Driving Force for Greening Regional Economic Policy. Policy Paper no 27." European Commission, bmwfw, 2015. http://epub.wu.ac.at/4737/1/WWWforEurope_Policy_Paper_027.pdf.

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This research investigates eco-clusters as driver for greening regional economic policy and examines necessary incentive structures to foster eco-innovation as well as growth and employment in the eco-industry sector. Eco-clusters are seen in context with sustainability and environmental friendly behavior as means for a socio-ecological transition in the long run. The main hypothesis implies that eco-clusters have to be policy driven and established top-down and therefore differ from cluster structures in other industries. Possible reasons are uncertainty on a developing market as well as external effects of eco-innovations; the latter are seen as radical innovations. Based on theoretic findings for the establishment of clusters and general research findings for eco-clusters and eco-innovations, it is differentiated between a spontaneous cluster emergence from private initiatives through self-reinforcing forces of companies in a region (bottom-up), and the formation of a policy-driven network with primarily regional objectives to stimulate the competitive advantage of the regional industrial location (top-down). The hypothesis will be proofed by empirical results gained through personal interviews and complemented by findings in current research literature. Finally, implications for incentive structures to green economic policy are identified. It is shown that eco-clusters are different to other clusters and crucial for a long-term sustainable change and thus need political commitment and public incentives. For empirical observation, eco-clusters in Austria were selected. This research relates to the ongoing debate on green growth and develops policy incentives for establishment of eco-clusters and thus greening of economic policy.
Series: WWWforEurope
4

Miller, Chad Richard. "The Tholian Web: The Political/Institutional Context of Regional Cluster-Based Economic Development." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/27984.

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This is an exploratory study that applies the dominant theories of the community power structure literature to the trend of regional cluster-based economic development policy in order to develop a conceptual framework of the political/institutional context of this "new" approach. In order to develop a framework that can be utilized by practitioners, field studies were conducted in Austin, Texas; Portland, Oregon; Greenville/Spartanburg, South Carolina; Lynchburg, Virginia; and Roanoke, Virginia. The findings are that the major community power structure theories (i.e., market model, economic forces, civic culture, regime theory, the growth machine, and civic entrepreneurs) all provide important insights for the adoption of cluster-based policies. Other important factors that need to be considered are the importance of public administrators, performance metrics, state context, institutional arrangements, elected officials, tax structure, and historical path dependency. The implication for public administration is that the role of public administrators is contingent on the nature of the network governance structure.
Ph. D.
5

Esparza, Timothy R. A. "Crafting clusters: an analysis of the craft beer industry in northern Colorado." Kansas State University, 2016. http://hdl.handle.net/2097/32643.

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Master of Regional and Community Planning
Department of Landscape Architecture/Regional and Community Planning
Katherine Nesse
The following report examines the craft beer industry as a major component of the beverage production cluster in Northern Colorado. By using the four locational determinants derived by Porter (1990) as a framework, this study evaluates the role of geography as a key component in an industry’s ability to foster a competitive advantage. Despite his focus on national competitiveness, Porter's diamond model has influenced strategic thinking on a regional scale (Stimson, Stough & Roberts, 2006). In turn, it can help us to understand the interactions that underlie localized cluster dynamics. The cluster conception in economic development literature assumes that each of Porter's components is equally spatially connected. Resources are focused towards building assets in a region defined by analyzing the cluster. However, factors of the craft beer industry in Northern Colorado did not completely adhere to the traditional parameters of regional cluster geography. Personal interviews with key actors involved in the craft beer industry, along with economic data revealed that local factors are not always the driving force behind the development of the craft beer industry. In addition, the data analysis indicates that determinants of cluster success may be significant at various geographic scales. Locational determinants may not operate within the same area as defined by cluster analysis. Thus, this report closes with a recommendation to consider the significance of proximity when looking to increase the competitiveness of a given industry cluster—for the relationship between locational determinants and geography varies between factors.
6

Gurellier, Ozlem. "Design Of A Performance Measurement Model For Industrial Clusters In Turkey." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612793/index.pdf.

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Despite the advantages and dominance of globalization in today&rsquo
s world economics
clusters, as a regional based development tool, still attract many researchers and policy makers from all over the world in order to obtain sustainable competitiveness. As a result of fast rising number of cluster development policies and initiatives, the importance of measuring the performance of clusters arises. The purpose of this thesis is to design a performance measurement model, which will be applied to industrial clusters in Turkey. A model framework is developed, based on expected outcomes of clusters which are classified as productivity, innovativeness, new business formations and social capital. Indicators are selected based on extensive literature survey under these four determinants, and a scorecard is developed. After the design phase, the performance of two cluster cases from Turkey is studied. In order to improve clustering approach, it is important to monitor, measure identify the progress of clusters. It is believed that this work will be utile for policy makers to identify whether the interventions, incentives and promotions are beneficial for the desired purposes and whether they are used effectively.
7

Grillitsch, Markus, Josephine Rekers, and Franz Tödtling. "When drivers of clusters shift scale from local towards global: What remains for regional innovation policy? PEGIS, Papers in Economic Geography and Innovation Studies." University of Vienna, Vienna University of Economics and Business, Austrian Academy of Sciences, University of Agder, Kiel University, 2019. http://epub.wu.ac.at/6785/1/geo%2Ddisc%2D2019_03.pdf.

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Industries and regional economies evolve as a result of the interplay between local and non-local factors. Increasing globalization of both production- and innovation activities implies a shift in the relevant scales of interaction from the local towards the global level. This paper is concerned with the implications of such scale shifts for the role of the region and for cluster-related regional policies. It examines what is left of the role of regional settings in fostering economic development when extra-regional drivers of change increase in importance. We investigate this crucial question with two in-depth case studies of the medical technologies sector, in which such scale shifts have been particularly pronounced. Our findings from empirical material collected in Scania/Sweden and Vienna/Austria illustrate the ways in which changes in national and supra-national regulatory frameworks have had a profound impact on the innovation activities of individual firms and the way to develop and launch new products, and subsequently on the regions in which they cluster. Such scale-shifts have on the one hand limited the potential for regional policy to shape the cluster's path through support for supply-side factors. Yet some critical assets remain local but are increasingly difficult to access. By addressing such barriers to access, regional policy can still strongly affect the opportunities for innovation. Furthermore, in an increasingly open industry system, we see an expanded role for regional policy in supporting firms to access critical assets and sources of innovation found external to the region.
8

Marini, Marcos Junior. "Arranjos produtivos locais e desenvolvimento sustentável regional: uma proposição metodológica de análise aplicada no APL de confecção do sudoeste do Paraná." Universidade Tecnológica Federal do Paraná, 2012. http://repositorio.utfpr.edu.br/jspui/handle/1/891.

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A sociedade mundial está vivenciando transformações desencadeadas principalmente a partir de meados do século XX, incluindo as esferas econômica, social, ambiental, cultural, espacial, política e institucional. Na literatura são apontados fatores como a globalização, os avanços tecnológicos e a reestruturação dos sistemas produtivos, como principais responsáveis por essas mudanças. Neste contexto, observa-se uma orientação do processo de desenvolvimento a partir das questões territoriais, como ocorre na articulação dos agentes locais para a formação dos clusters ou arranjos produtivos locais. Logo, APLs encontram-se no centro do debate contemporâneo sobre planejamento regional e políticas públicas de desenvolvimento regional. Diante do exposto, o objetivo geral desta tese é construir uma proposição metodológica para analisar a contribuição do arranjo produtivo local para o processo de desenvolvimento sustentável regional. Assim, inicialmente é apresentada uma proposta de configuração de matriz para este cenário, incluindo os principais componentes do APL e suas relações com as dimensões territoriais. Na sequencia, é construída a proposição metodológica de análise, com a sua aplicação em quatro etapas: seleção do APL, mensuração da eficiência coletiva (IEC), mensuração do impacto territorial (IIT), e a integração destes resultados em um painel denominado APL-DSR. Com relação aos aspectos metodológicos, a pesquisa está classificada como explicativa, com a aplicação do método de estudo de caso. A coleta de dados baseou-se em fontes primárias e secundárias, incluindo pesquisa bibliográfica, documental e pesquisa de campo. O estudo de caso foi realizado no APL de Confecção do Sudoeste do Paraná, com a pesquisa de campo envolvendo os agentes locais deste arranjo produtivo, a partir de entrevistas estruturadas. Os resultados da coleta de dados foram analisados e interpretados em uma abordagem quanti-qualitativa, seguindo três encaminhamentos: análise qualitativa das respostas da pesquisa de campo, análise baseada na proposta metodológica APL-DSR, análise temporal baseada em simulações. Como principais resultados ressalta-se que o APL de Confecção do Sudoeste do Paraná alcançou uma boa avaliação na mensuração da eficiência coletiva, atingindo dois terços da escala IEC. Porém, apesar de positivo, o impacto territorial na região analisada foi discreto, atingindo um terço da faixa positiva normalizada da escala IIT. Para finalizar, evidencia-se a contribuição desta tese, a partir da construção da proposta metodológica de análise para avaliar a relação do APL no contexto do desenvolvimento sustentável regional, o que poderá auxiliar tanto na tomada de decisão para as políticas públicas, bem como no processo de autoavaliação do APL.
The world society is experiencing transformations triggered mainly from mid-twentieth century, including the economic, social, environmental, cultural, spatial, political and institutional. The literature pointed to factors such as globalization, technological advances and the restructuring of production systems as the main responsible for these changes. In this context, there is an orientation of the development process from territorial issues, as occurs in the articulation of local agents for the formation of clusters. Thus, clusters are at the center of contemporary debate on regional planning and regional development policies. Given the above, the general objective of this thesis is to build a methodological proposition to analyze the contribution of clusters to the process of regional sustainable development. Thus, is initially presented a framework configuration for this scenario, including the main components of cluster and its relations with the territorial dimensions. In sequence, is built a methodology of analysis with its application in four steps: selection of cluster, measurement of collective efficiency (IEC), measurement of regional impact (IIT), and the integration of these results on a panel called APL-DSR. Considering the methodological aspects, the research is classified as explanatory, with the method of case study. The data collection procedure was based on primary and secondary sources, including literature, documentary and field research. The case study was conducted at Clothing Cluster in Southwest of Paraná, with field research involving local actors of this productive arrangement, from the application of structured interviews. The results of the data collection were analyzed and interpreted in a quantitative and qualitative approach, following three referrals: a qualitative analysis of the responses of field research, analysis based on methodological proposal APL-DSR, temporal analysis based on simulations. The main results emphasizes that the Clothing Cluster in Southwest of Paraná achieved a good rating in the measurement of collective efficiency, reaching two thirds of the scale IEC. However, although positive, the territorial impact in the region analyzed was low, reaching a third of the positive range of the scale normalized IIT. Finally, highlights the contribution of this thesis, from the construction of the proposed methodology of analysis to assess the relation of cluster in the context of sustainable regional development, which could help both in decision making for public policy, as well as in the process of self-evaluation of cluster.
5000
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Anz, Michael. "Entstehung von Clustern unter Berücksichtigung der Effekte regionalisierter Innovationspolitik." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-33395.

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Während man sich bislang auf die Gründe für die Entwicklung existierender Cluster konzentrierte, steigt das Interesse an den Prozessen, welche deren Entstehung bewirken. Diese unterscheiden sich jedoch von jenen zusammenhängen, welche ein reifes und dynamisches Cluster kennzeichnen (Bresnahan, Gambardella 2004, S. 842; Henn 2006b). Einige Beispiele haben gezeigt, dass Politik durchaus eine Rolle in der Entwicklung von Clustern spielen kann (z. B. Feldmann et al. 2005, S. 131; Dohse 2000b). Es herrscht jedoch Konsens, dass eine direkte Steuerung und Initiierung von Clustern „wishful thinking“ bleiben muss (Enright 2003, S. 104; Rosenfeld et al. 2006). Indes zeigen sich unternehmerische Akteure im Umfeld von Forschungseinrichtungen bevorteilt, wissenschaftliche Erkenntnisse in neuen Technologiefeldern zu verwerten. In jüngerer Zeit werden deshalb regionalisierte Innovationspolitiken implementiert, welche diesen Prozess unterstützen sollen. Über die Wirkungsweise und die Effekte einer solchen räumlich fokussierten Politik herrscht bislang jedoch noch Unklarheit (Raines 2002b, S. 8; Fromhold-Eisebith, Eisebith 2005, S. 1251; Kiese 03.10.2007). Diese Fragestellungen aufgreifend werden in der vorliegenden Arbeit anhand der Fallbeispiele Dresden und Leipzig die Prozesse der Clusterentstehung im Technologiebereich der Biotechnologie vor dem Hintergrund der Post-Transformationsphase Ostdeutschlands analysiert. Zudem wird die umfangreiche, regionalisierte Innovationspolitik des Freistaates Sachsen hinsichtlich ihres Beitrages bei der Clusterentstehung untersucht. Mit diesem Untersuchungsansatz wird ein Beitrag zur noch jungen Diskussion der Clusterentstehung geleistet sowie Einblick in die Wirkungsmöglichkeiten regionalisierter Innovationspolitik gegeben. Auf der Grundlage der theoretischen Diskussion zu Clustern und regionalisierter Innovationspolitik wird ein Untersuchungsmodell abgeleitet, welches sich an den multidimensionalen Analyserahmen Bathelts anlehnt (Bathelt 2002) und um die von Henn diskutierten Entstehungsdimensionen Ansiedlung, Lernen und Gründung erweitert (Henn 2006b). Schwerpunkt der empirischen Analyse ist ein Mix aus leitfadengestützten Interviews und quantitativer Analyse sozialer Netzwerke. Bei der Analyse zeigt sich, dass „klassische“ Erklärungsmuster zur Clusterentstehung teilweise auf Prozesse hinweisen, die sich so nicht feststellen lassen. Als wesentlich erweisen sich vor allem Gründungs- und Ansiedlungsprozesse. Zu ihrer Erklärung kann jedoch kaum auf einfache Standortfaktoren zurückgegriffen werden, vielmehr müssen Forschernetzwerke zur Erklärung herangezogen werden. Bei der Analyse der Effekte der regionalisierten Innovationspolitik zeigt sich, dass die Wirksamkeit maßgeblich von der Gestaltbarkeit und Anpassung der Politik an sich ändernde Governancebedingungen abhängt. Dies betrifft sowohl das regionale technologische Umfeld als auch die Region im Allgemeinen. Daneben 243 ist die Unterstützung der Erzeugung materieller Vorraussetzungen u. a. für den Erfolg von Ausgründungen, Ansiedlungen sowie von unternehmerischen Lernprozessen relevant. Diese müssen jedoch in flexible Strukturen eingebettet werden, die es zu entwickeln gilt. Dafür werden am Ende der Arbeit Handlungsempfehlungen aufgezeigt
While focussing on the development of existing clusters there is a growing interest in those processes which lead to the emergence of clusters. Those differ from these ones which are typical for a ripe cluster (Bresnahan, Gambardella 2004, p. 842; Henn 2006). Several cases show that policy has an impact on the development of a cluster (z.B. Feldmann et al. 2005, p. 131; Dohse 2000). Though there is a consensus that wishing to stear or initiate a cluster is „wishful thinking“ (Enright 2003, p. 104; Rosenfeld et al. 2006). Entrepreneurs in the surrounding of research institutions are in an advantage commercialising knowledge in new technology fields. This is why regionalised innovation policies are implemented recently, which aim to support this process. The effects and mechanisms of such a spatially focused policy have yet to be clarified (Raines 2002, p. 8; Fromhold-Eisebith, Eisebith 2005, p. 1251; Kiese 3. Oktober 2007). Taking up this question in this thesis the process of emerging clusers is analysed in the field of biotechnology for the cases of Dresden and Leipzig under conditions of post-transformation in Eastern Germany. Further the influence of the complex, regionalised innovation policy of the Free State of Saxony is studied concerning the emgergence of clusters. The aim is to contribute to the discussion on emerging clusters as well as to point out the impact regionalised innovation policy can have. A research model is deduced from theoretical discussion on clusters and regionalised innovation policy. It refers to the multidimensional model of Bathelt (Bathelt 2002) and the relevant dimensions for the emergence process, settlements, learning and founding (Henn 2006). To implement this model among others a mix of semi-structured interviews and social network analysis is used. The analysis shows that “classical” explanations for emerging clusters can not be verified. Founding and settling processes of enterprises seem to be most important. A simple location factor based explanation does not give satisfying answers. Explanations have to take researcher-entrepreneurial networks into account. The analysis shows that the impact of regionalised innovation policy depends on a continual development and evolution of policy in accordance with a changing governance structure in the regional technological surrounding as in the overall region. Monetary support proves to be favourably for spin offs and settlements as well as for entrepreneurial learning processes. Those have to be embedded in flexible and developing governance structures
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Exner, Jan-Philipp, and Ergin Yücel. "Structural change in European border zone agglomerations : A comparative analysis between Copenhagen and Saarbrücken." Thesis, Blekinge Tekniska Högskola, Sektionen för teknokultur, humaniora och samhällsbyggnad, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2156.

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In this study we made an investigation on the transformation of economic structure of two border city regions, Saarbrücken and Copenhagen. The motivation for a comparative analysis is that they have similar industrial background. Both city regions were dynamic in the first half of the 20th century however in the second half they slowed down and gradually lost some of their industrial base. This decline of industry also brought some transformation of the economic structure. To some extent they followed similar trends such as decline of industry and rise of service sector. However there are differences as well, like the diversification of economy, dependence on industry, potential for attracting the creative class and so on. Another reason for comparison is that they are both border regions and have a potential to integrate with the other side of the border. Saarbrücken has increased its interaction with the French region Lorraine and the opening of the High Speed Railway East to Paris is likely to contribute to this interaction and may lead to integration. Copenhagen, too, has been increasing its interaction with Malmo and Lund on the Swedish side. Especially after the opening of the Öresund Bridge in 2000 this interaction even got accelerated and seems to evolve towards integration. We have discussed this cross-border interaction and tried to identify to what extend these regions integrated with the other side of the border. Furthermore we tried to reveal the similarities and the differences in this integration processes in both border regions. As theoretical approach we have chosen Kondratieff Wave Theory, Porter’s Cluster Theory and Florida’s Creative Class Theory as these theories seem to explain the developments in the two regions quite well. The Wave theory makes up the theoretical framework as it reflects a global shift in the western economies especially in the old industrial zones. The two other theories points out to more specific developments in two regions such as emergence of high tech sectors as a result of creative class. Our overall conclusion is that the two regions have similarities in their transformation but also differences. Every region has its own transformation story as some local elements are involved in the process. It is not possible to have identical developments; however regions can induce similar development with the more dynamic regions in case they create similar conditions for new sectors. And it is increasingly easier to do so as the globalisation makes the production factors more mobile.
Jan-Philipp Exner Hauptstrasse 84 66127 Saarbrücken-Klarenthal Fon: +49 6898 32459 Mail: jan-exner@web.de -------------------------------------- ERGIN YUCEL +46735623450 www.eyucel.com

Книги з теми "Regional economic clusters":

1

Munn-Venn, Trefor. Clusters of opportunity, clusters of risk. Ottawa: Conference Board of Canada, 2004.

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2

Karen, Maguire, Davies Andrew 1966-, and Organisation for Economic Co-operation and Development., eds. Competitive regional clusters: National policy approaches. Paris: OECD, 2007.

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3

Asheim, Bjørn Terje. Clusters and regional development: Critical reflections and explorations. [New York]: Routledge, 2006.

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4

Innovation Systems Research Network. Conference. Knowledge, clusters and regional innovation: Economic development in Canada. Montréal: Published for the School of Policy Studies, Queen's University by McGill-Queen's University Press, 2002.

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5

Stough, Roger, Charlie Karlsson, and B. Johansson. Agglomeration, clusters and entrepreneurship: Studies in regional economic development. Cheltenham, UK: Edward Elgar, 2014.

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6

Wang, Chengyong. Ji yu chan ye ji qun de qu yu jing ji fa zhan zhan lüe: Regional economic development strategy based on industry cluster. 8th ed. Beijing: Zhongguo she hui ke xue chu ban she, 2011.

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7

Christos, Pitelis, Sugden Roger, and Wilson James R. 1976-, eds. Clusters and globalisation: The development of economies. Cheltenham, UK: Edward Elgar Pub., 2006.

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Hui, Ning. Chan ye ji qun de qu yu jing ji xiao ying yan jiu =: The study on the regional economic effects of the industrial cluster. 8th ed. Beijing Shi: Zhongguo jing ji chu ban she, 2008.

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9

Regional Innovation Forum (7th 2002 Ottawa, Ont.). Vision to 2006: Innovative emerging technology clusters for regional economic growth. [Ottawa]: National Research Council Canada, 2003.

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10

Fan, Jianyong. Chan ye ji ju yu Zhongguo di qu cha ju yan jiu. 8th ed. Shanghai: Ge zhi chu ban she, 2008.

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Частини книг з теми "Regional economic clusters":

1

Walcott, Susan, and Huasheng Zhu. "Regional Urban Economic Clusters." In A Comparative Geography of China and the U.S., 257–76. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8792-5_8.

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Stache, Florian. "Economic Clusters and Regional Policy." In Russia Business, 37–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64613-4_4.

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Karafili, Elona. "Economic Clusters and Regional Competitiveness." In Cluster Dynamics in Transition Economies, 1–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69842-3_1.

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Rodríguez-Pose, Andrés, and Fabrice Comptour. "Evaluating the Role of Clusters for Innovation and Growth in Europe." In Geography, Institutions and Regional Economic Performance, 209–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33395-8_11.

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Kou, Jiaying, Jiahua Du, Xiaoming Fu, Geordie Z. Zhang, Hua Wang, and Yanchun Zhang. "The Effect of Regional Economic Clusters on Housing Price." In Lecture Notes in Computer Science, 180–91. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69377-0_15.

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6

Asheim, Bjørn T., Høgni Kalsø Hansen, and Arne Isaksen. "Economic Geography of Innovation and Regional Development." In Socio-Spatial Theory in Nordic Geography, 147–68. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04234-8_9.

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AbstractResearch in economic geography on innovation and regional development is an important and thriving research area in Scandinavia, which has contributed significantly to theoretical and empirical advancements beyond the Scandinavian research environments. This chapter demonstrates how the field has developed and changed its focus over the years, touching upon and developing around central academic and societal topics from deindustrialisation, clusters and regional innovation systems to creativity, green transition and changing regional development paths. The chapter focuses on how research milieus have developed in Scandinavia, how theories, methodologies and methods have advanced and how researchers have worked together nationally and internationally during the last four decades.
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Tordoir, Pieter P. "Economic Capabilities and Strategic Clusters: New Perspectives for National and Regional Economic Policy." In The GeoJournal Library, 367–87. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3679-5_16.

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Yu, Lixia, Wenchao Yu, and Wen Wen. "The Empirical Research Between the Financial Industry Clusters and Regional Economic Development." In Lecture Notes in Electrical Engineering, 329–41. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4600-1_29.

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Tokunaga, Suminori, and Mitsuru Okiyama. "Measuring Economic Gains from New Food and Automobile Industry Clusters with Coagglomeration in the Tohoku Region." In New Frontiers in Regional Science: Asian Perspectives, 163–92. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6493-7_6.

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Stimson, Robert J., Roger R. Stough, and Brian H. Roberts. "Industry Cluster Analysis." In Regional Economic Development, 197–233. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04911-2_6.

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Тези доповідей конференцій з теми "Regional economic clusters":

1

Kráľová, Katarína, Jana Sochuľáková, and Dagmar Petrušová. "Mitigation of regional disparities through clusters." In 4th International Scientific Conference: Knowledge based sustainable economic development. Association of Economists and Managers of the Balkans, Belgrade, Serbia et all, 2018. http://dx.doi.org/10.31410/eraz.2018.47.

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2

Gajdová, Denisa, and Ľubica Foltínová. "Determinants of agricultural SMEs´ development within clusters." In Sustainable Business Development Perspectives 2022. Brno: Masaryk University Press, 2022. http://dx.doi.org/10.5817/cz.muni.p280-0197-2022-3.

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Small and medium-sized enterprises are at a great disadvantage compared to large companies, they are not able to take advantage of, for example, economies of scale, they do not have sufficient capacity and resources for research, training of their employees, obtaining information, etc. Therefore, participating in such innovation clusters helps them survive and prosper for a long time. In essence, the cluster helps to increase specialization, encouraging governments to invest in the industry and the region at the same time. This, of course, has such a positive effect as regional development. For appropriate cluster identification, we have opportunity to use various methods, quantitative and qualitative, too. We have mainly focused on quantitative methods with the perspective to directly determinate achieved outcomes. Our objective in this this paper was to find possibilities of cluster creation and their identification in the area Slovak eight regions. With this aim we have used Location Quotient. Statistical data has been provided from statistic database and they were compared then with the real clusters operating in selected 8 regions within area of Slovakia. Identification of the economic opportunities of tourism clusters creation in individual regions is the precondition of the originality of this paper as the starting point for formation of clusters and cluster initiatives within the regions of Slovakia.
3

Granitsa, Yulia, and Shokhjakhon Khujayev. "Cluster analysis of regional indicators using DBSCAN algorithm." In Human resource management within the framework of realisation of national development goals and strategic objectives. Dela Press Publishing House, 2022. http://dx.doi.org/10.56199/dpcsebm.zztl4298.

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Regional economies are playing an increasingly important role in the development of the national economic complex of the country. The disproportionate development of economies at the mesolevel is associated with a number of risks affecting various markets and industries, which in turn necessitates the development of effective methods for identifying regional clusters and the search for effective methods for assessing the interconnections of regional economic determinants. To conduct the study, the authors accumulated data on 25 indicators reflecting the investment, resource, production and financial performance components of the socio-economic development of Russian regions. Applying machine learning algorithms such as XG Boost, Gradient Boosting, CART, we identified the most significant factor for assessing regional sustainability and established the regional development indicators associated with it by calculating the non-linear correlation coefficient Phi_K. The use of the DBSCAN algorithm allowed us to identify two regional clusters, while per capita consumption, the level of demographic load and urbanization were significant factors for the clustering of regions. The significance of the criteria for combining regions into clusters using the DBSCAN method was established using the construction of a classification tree.
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McGuire, David. "The Use of Clusters to Build an ICT Industry." In 2003 Informing Science + IT Education Conference. Informing Science Institute, 2003. http://dx.doi.org/10.28945/2725.

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The potential in the Information and Computer Technology (ICT) sector to generate economic development and create pathways for a region into the Knowledge Economy (KE) has become widely accepted. Underpinning the theoretical understanding of what KE can offer has been the practical application of Porter’s competitive theory relating to industry cluster development. The increasing role of clusters in KE and a greater focus on regional growth is seen in the development of a variety of dedicated technology zones aiming to emulate the success of Silicon Valley in the United States, the site of the original modern IT cluster.
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Петрова, Елена Александровна, Марина Эдуардовна Буянова, and Марина Сергеевна Лапина. "FOREIGN EXPERIENCE IN FORMING INNOVATIVE CLUSTERS AS THE BASIC TOOLS TO ENSURE THE ECONOMIC SECURITY OF THE NATIONAL AND REGIONAL ECONOMY." In Национальная безопасность России: актуальные аспекты: сборник избранных статей Всероссийской научно-практической конференции (Санкт-Петербург, Март 2021). Crossref, 2021. http://dx.doi.org/10.37539/nb190.2021.38.42.003.

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В статье рассмотрен опыт внедрения кластерного подхода в экономику Китая. Сделан вывод о том, что процесс формирования инновационных кластеров и реализуемая кластерная политика на определенной территории является мощным инструментом для стимулирования развития территорий и обеспечения экономической безопасности на макро- и мезоуровне. The article discusses the experience of introducing the cluster approach into the Chinese economy. It is concluded that the process of formation of innovative clusters and the implemented cluster policy in a certain territory is a powerful tool for stimulating the development of territories and ensuring economic security at the macro and meso levels.
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Rudenko, Irina. "The innovation potential of regional clusters." In Proceedings of the International Scientific-Practical Conference “Business Cooperation as a Resource of Sustainable Economic Development and Investment Attraction” (ISPCBC 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ispcbc-19.2019.133.

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Zaburanna, Lesia, Yulia Yarmolenko, Myroslav Kozak, and Tetiana Artyukh. "Modeling of regional clusters considering sustainable development." In Proceedings of the 2019 7th International Conference on Modeling, Development and Strategic Management of Economic System (MDSMES 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/mdsmes-19.2019.42.

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Plakhin, A. E. "Methodological aspects of ontogenesis of regional industrial clusters." In International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017. Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ttiess-17.2017.86.

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Taş, Seyhan, Mehmet Akif Kara, Sena Türkmen, and Enver Günay. "Changing Role of the State in Regional Economic Policies." In International Conference on Eurasian Economies. Eurasian Economists Association, 2014. http://dx.doi.org/10.36880/c05.00976.

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It is observed that regional economic policies, which are applied to reduce the regional imbalances and to improve the income and employment in underdeveloped regions, tend to change in time. This change in turn brings out the concept of regional competition. This change also reflects the state’s policy tools, while the concept of regional efficiency becomes to be determinative in state’s regional economic policies in addition to the concept of regional equality. In this context the public policies of regional level can be said as following: first to develop regional infrastructural investments, second; to support the small and medium sized firms and the clusters around them which can stimulate internal potential of the region, and to develop the technological and innovative frames of the firms. Similar changes occur in Turkey as well together with the European Union membership process, while the concept of regional competition begins to shape the regional economic policies with the legal and institutional arrangements. In this study, we tried to assess the changing role of the state, especially from the point of Turkey, in the regional development policies.
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Rastvortseva, Svetlana. "ASSESSMENT OF THE REGIONAL ECONOMIC POTENTIAL FOR THE INDUSTRIAL CLUSTERS DEVELOPMENT." In SGEM 2014 Scientific SubConference on POLITICAL SCIENCES, LAW, FINANCE, ECONOMICS AND TOURISM. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgemsocial2014/b23/s7.009.

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Звіти організацій з теми "Regional economic clusters":

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Russo, Margherita, Fabrizio Alboni, Jorge Carreto Sanginés, Manlio De Domenico, Giuseppe Mangioni, Simone Righi, and Annamaria Simonazzi. The Changing Shape of the World Automobile Industry: A Multilayer Network Analysis of International Trade in Components and Parts. Institute for New Economic Thinking Working Paper Series, January 2022. http://dx.doi.org/10.36687/inetwp173.

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In 2018, after 25 years of the North America Trade Agreement (NAFTA), the United States requested new rules which, among other requirements, increased the regional con-tent in the production of automotive components and parts traded between the three part-ner countries, United States, Canada and Mexico. Signed by all three countries, the new trade agreement, USMCA, is to go into force in 2022. Nonetheless, after the 2020 Presi-dential election, the new treaty's future is under discussion, and its impact on the automo-tive industry is not entirely defined. Another significant shift in this industry – the acceler-ated rise of electric vehicles – also occurred in 2020: while the COVID-19 pandemic largely halted most plants in the automotive value chain all over the world, at the reopen-ing, the tide is now running against internal combustion engine vehicles, at least in the an-nouncements and in some large investments planned in Europe, Asia and the US. The definition of the pre-pandemic situation is a very helpful starting point for the analysis of the possible repercussions of the technological and geo-political transition, which has been accelerated by the epidemic, on geographical clusters and sectorial special-isations of the main regions and countries. This paper analyses the trade networks emerg-ing in the past 25 years in a new analytical framework. In the economic literature on inter-national trade, the study of the automotive global value chains has been addressed by us-ing network analysis, focusing on the centrality of geographical regions and countries while largely overlooking the contribution of countries' bilateral trading in components and parts as structuring forces of the subnetwork of countries and their specific position in the overall trade network. The paper focuses on such subnetworks as meso-level structures emerging in trade network over the last 25 years. Using the Infomap multilayer clustering algorithm, we are able to identify clusters of countries and their specific trades in the automotive internation-al trade network and to highlight the relative importance of each cluster, the interconnec-tions between them, and the contribution of countries and of components and parts in the clusters. We draw the data from the UN Comtrade database of directed export and import flows of 30 automotive components and parts among 42 countries (accounting for 98% of world trade flows of those items). The paper highlights the changes that occurred over 25 years in the geography of the trade relations, with particular with regard to denser and more hierarchical network gener-ated by Germany’s trade relations within EU countries and by the US preferential trade agreements with Canada and Mexico, and the upsurge of China. With a similar overall va-riety of traded components and parts within the main clusters (dominated respectively by Germany, US and Japan-China), the Infomap multilayer analysis singles out which com-ponents and parts determined the relative positions of countries in the various clusters and the changes over time in the relative positions of countries and their specialisations in mul-tilateral trades. Connections between clusters increase over time, while the relative im-portance of the main clusters and of some individual countries change significantly. The focus on US and Mexico and on Germany and Central Eastern European countries (Czech Republic, Hungary, Poland, Slovakia) will drive the comparative analysis.
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Díaz de Astarloa, Bernardo, and Ezequiel Tacsir. Cluster Initiatives and Economic Resilience: Evidence from a Technology Cluster in Argentina. Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004594.

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In this paper, we study the role of a cluster initiative in fostering economic resilience among firms in a local technology cluster in Argentina. We focus on two aggregate shocks that hit the Argentine economy, including first wave of the COVID-19 pandemic. Our analysis is based on interviews with authorities and members of the cluster initiative, local firms, and policy makers, as well as on firm-level administrative tax records. We find that the cluster organization provides members with resources that could foster resilience, including access to specialized human capital, information on business opportunities, and assistance in applying for government support programs. However, while members of the cluster organization appear to be more resilient than non-members, even within the same regional cluster, after conditioning on firm characteristics we find little evidence of a positive association between belonging to the cluster organization and economic resilience. Members of the cluster organization are neither less likely to exit nor adapt by switching their main economic activity and did not show statistically significantly higher revenue growth than nonmembers. Member firms do appear to have been more able than non-members to keep up with tax obligations during the first wave of the COVID-19 pandemic.
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POBEDONOSTSEVA, G., and V. POBEDONOSTSEVA. ABOUT THE ECONOMY SECURITY INDICATORS OF THE ARCTIC REGIONS OF RUSSIA. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2070-7568-2021-10-5-2-172-180.

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The article examines the directions of the new “cluster development” of the Russian Arctic territory in order to impart a science-intensive character to the basing at the Arctic zone of Russia and the traditional development of its natural resources.

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