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Journal articles on the topic 'Clustering of the economy'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Stukalo, Nataliia, and Anastasiia Simakhova. "Global parameters of social economy clustering." Problems and Perspectives in Management 16, no. 1 (2018): 36–47. http://dx.doi.org/10.21511/ppm.16(1).2018.04.

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The study of various aspects of social economy is stipulated by the fact that the focus of any economic system is the human being as the main object and the result of economic activity. The purpose of this paper is to cluster of social economies of the countries throughout the world with distinguishing the models of social economy for transition economies under globalization conditions. The results of research represent four clusters of social economy that prove validity of classification of 4 classic models of social economy: liberal, Scandinavian, corporatist, and Mediterranean. While the mo

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2

Kogovšek, Metka, and Mojca Kogovšek. "CLUSTERING AND KNOWLEDGE BASED ECONOMY." Nauka+Praksa 15 (October 10, 2012): 53–60. http://dx.doi.org/10.62683/nip15.53-60.

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The main aim of the paper is to identify education quality focused on the need to make profound connection with the business environment with the goal of employability of graduates. The findings suggest that flow of ideas and information with focus on knowledge within the cluster serves as a powerful force for potential change in educational systems where links between practice and theory are firmly grounded and applied as the means to develop appropriate teaching and pedagogical strategies to meet the student’s needs.

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Slava, Svitlana. "Economy and creativity multiparametric clustering." REGION 10, no. 1 (2023): 159–81. http://dx.doi.org/10.18335/region.v10i1.382.

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This paper suggests a way to cluster Ukrainian regions by using economy and creativity-related multiparametric sets so as to reveal the main roles of players in cross-regional comparisons. Special attention was paid to an analysis of invaded regions since 2014 and 2022. The methodology is based on a consistent utilisation of structured analysis, correlation, regression and clustering modelling. Sets of parameters were selected from secondary data via correlation and regression analyses aimed at defining the most impactful factors. The study sample includes 25 regions in Ukraine. The research r

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4

Charykova, O. G., and E. S. Markova. "Regional Clustering in the Digital Economy." Economy of Region 15, no. 2 (2019): 409–19. http://dx.doi.org/10.17059/2019-2-8.

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5

Smirnova, Elena E. "Clustering of regional economy: tax aspect." Economic Problems and Legal Practice 16, no. 5 (2020): 101–4. https://doi.org/10.33693/2541-8025-2020-16-5-101-104.

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Article considers application of clusters as the effective instrument of social and economic development of regions, taking into account application of tax preferences - reduction of a tax rate, granting tax benefits, namely: an exception of subject to taxation, of tax base at observance of certain conditions, use of the raising depreciation coefficients). Examples are tax preferences on: to income tax of the organizations (the raising depreciation coefficients), the VAT (release from research and development realization taxation), the property tax of the organizations (an exception of objects

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Samiilenko, Halyna, Olha Popelo, Veronika Khudolei, Kostyantyn Mashnenkov, and Yuliia Derkachenko. "Transformational processes of clustering in digital economy." LAPLAGE EM REVISTA 7, Extra-C (2021): 691–702. http://dx.doi.org/10.24115/s2446-622020217extra-c1106p.691-702.

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Within the article, information on the current state of clustering is systematized, for which the data on the cluster formations functioning in the world are analyzed, on the basis of which seven world models of clusters are singled out, their main and characteristic features are outlined. The orientation of Ukrainian clusters is clarified, special features are revealed and their characteristics are given. It is proved that modern manifestations of digital economy significantly influence the process of clustering and cluster formation. The analysis of digitalization of Ukraine in the regional

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7

Kostin, Svyatoslav. "Innovation Economy Clustering: Strategic Issues of Development." Economic Strategies 190, no. 4 (2023): 72–77. http://dx.doi.org/10.33917/es-1.190.2023.72-77.

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Conditions prevailing in the Russian economy in 2023 presuppose an increased role of indirect forms of state support for business, where the state acts as a curator, nourishing small businesses with the help of analytical support. An optimal institution for implementing such a support policy is the innovation cluster, due to the formation in the process of “cooperation — competition” of a group of interrelated enterprises that can compete with large companies in innovation markets. Based on the patent analysis, it is shown that Russia has a significant development potential, and innovation clu

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8

Hlasov, Pavlo. "Improvement of the mechanism of management accounting of enterprise expenses in the conditions of clusterization." Technology audit and production reserves 3, no. 4(59) (2021): 6–11. http://dx.doi.org/10.15587/2706-5448.2021.235296.

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The object of research is the implementation of clustering of the economy as an effective mechanism for management accounting of the costs of enterprises. One of the most problematic areas is the identification of the main priority areas of clustering the economy, which will actively influence the development of management accounting of enterprises' costs. The use of a cluster mechanism for management cost accounting, thanks to management, information, personnel, financial, investment, and innovation potential, will create a research base for developing cost accounting methods and assess the p

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9

Pavlo, Hlasov. "Improvement of the mechanism of management accounting of enterprise expenses in the conditions of clusterization." Technology audit and production reserves 3, no. 4(59) (2021): 6–11. https://doi.org/10.15587/2706-5448.2021.235296.

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<em>The object of research is the implementation of clustering of the economy as an effective mechanism for management accounting of the costs of enterprises. One of the most problematic areas is the identification of the main priority areas of clustering the economy, which will actively influence the development of management accounting of enterprises' costs. The use of a cluster mechanism for management cost accounting, thanks to management, information, personnel, financial, investment, and innovation potential, will create a research base for developing cost accounting methods and asse

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10

Polyakov, Maxim Valeriyovich, Gennadiy Yakovych Shevchenko, and Volodimir Stanislavovich Bilozubenko. "CLUSTERING OF COUNTRIES IN GLOBAL LANDSCAPE OF KNOWLEDGE ECONOMY DEVELOPMENT." SCIENTIFIC BULLETIN OF POLISSIA 1, no. 1(13) (2018): 176–83. http://dx.doi.org/10.25140/2410-9576-2018-1-1(13)-176-183.

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11

Fridlyanov, V. N., and M. V. Strakovskaya. "DEVELOPMENT OF REGIONAL ENGINEERING BY CLUSTERING." Izvestiya MGTU MAMI 6, no. 1 (2012): 296–300. http://dx.doi.org/10.17816/2074-0530-70062.

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Machine industry is a unique industry in Russia. Transition to innovative economy in the Russian Federation requires the combined efforts of government and business, taking into account specificity of each region. One of the most important areas of solving innovation economy problem is the creation of innovation clusters, realizing the competitive potential of the region.

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12

Okhotnikova, Оlena, and Pavlo Hlasov. "Clustering of the economy in a comprehensive system of the international economic security: organizational economic mechanism." Economic Annals-ХХI 189, no. 5-6(1) (2021): 4–14. http://dx.doi.org/10.21003/ea.v189-01.

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In a globalized world, international economic security has become the key to world order stability. Improving the resilience and competitiveness of the economy is one of the priorities for countries around the world. Furthermore, each country must ensure such a level of its national economic security that will guarantee its safe economic functioning. Clustering the economy can help countries to achieve this. Thanks to the cluster approach, it becomes possible to produce a competitive product and sell it on the world market, which will ensure the effective and rapid development of the internati

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13

Wang, Zhouhuo. "Research on Digital Economy and Human Resources Based on Fuzzy Clustering and Edge Computing." Security and Communication Networks 2021 (February 18, 2021): 1–8. http://dx.doi.org/10.1155/2021/5583967.

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The internationalization of the digital economy is an important part of the development stage of the digital economy. How to improve the internationalization level of the digital economy, promote the international competitiveness of digital enterprises, and accelerate the pace of digital enterprises “going out” has become the current digital economy research field problem that needs to be solved urgently. Aiming at the current deficiencies in the development of the digital economy, this paper combines edge computing and fuzzy clustering technology to carry out research on digital economy and h

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14

Аскеров, Н. С., Г. Н. Мазагаева, and К. У. Умаров. "Clustering as a way to organize an economy." Экономика и предпринимательство, no. 2(115) (May 6, 2020): 184–87. http://dx.doi.org/10.34925/eip.2020.115.2.032.

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Кластеризация экономики рассматривается как эффективный способ организации экономики, которая ориентирована на выпуск конкурентоспособной продукции. Раскрыта преимущество кластеризации как способа более гибкого реагирования на смену форм и методов ведения бизнеса, взаимовыгодного сотрудничества и кооперации. Определены условия реализации кластерной политики: субъектность, кластерная инициатива и мероприятия по повышению конкурентоспособности продукции. Clustering the economy is considered as an effective way to organize the economy, which is focused on the production of competitive products. T

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15

Romano, Aldo, Giuseppina Passiante, and Valerio Elia. "New sources of clustering in the digital economy." Journal of Small Business and Enterprise Development 8, no. 1 (2001): 19–27. http://dx.doi.org/10.1108/eum0000000006813.

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16

Simmie, James. "Innovation and Clustering in the Globalised International Economy." Urban Studies 41, no. 5-6 (2004): 1095–112. http://dx.doi.org/10.1080/00420980410001675823.

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17

MINDLIN, Yu B. "COMPARATIVE CHARACTERISTICS OF CLUSTERS AND REGIONAL ECONOMIC SOVIET." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 1, no. 5 (2020): 124–29. http://dx.doi.org/10.36871/ek.up.p.r.2020.05.01.017.

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The article considers the essence and properties of clustering, examines clusters and their impact on the innovative development of the economy. The author claims that systemicity as a property indicates the structuring of clustering, the relationship between its elements, subordination to the achievement of a single goal, dependence on the external environment, and the integrity of the subjects involved in clustering. All this is summarized in the concept of clusterization of the national economy.

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18

Kuznetsova, N.V., and N.A. Vorobeva. "Clustering of economy: experience of foreign countries and Russian perspectives." Economics of science 2, no. 2 (2016): 130–37. https://doi.org/10.5281/zenodo.13342277.

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This paper examined the existing foreign experience of the clustering of economy, which is one of the modern trends of regional economic policy in different countries, which aimed not only at the socio-economic development, but also the innovation development of the regions. It was also identified a number of global trends in clustering economy, and some specific features of cluster policy in the Asia-Pacific region, which can be used in the creation of modern Russian practice of cluster initiatives. In addition, it was provided the analysis of the problematic aspects

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19

Chen, Zixi, and Mengjie Du. "Digital Economy Research Status, Hot Spots and Trends." Frontiers in Business, Economics and Management 10, no. 2 (2023): 46–53. http://dx.doi.org/10.54097/fbem.v10i2.10521.

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The digital economy is becoming a new driving force for China's economic development. Based on the functions of COOC/VOSviewer software such as high-frequency statistics and hot spot clustering, this paper conducts bibliometric analysis of the core journals of SSCI and CSSCI in the past ten years through China Journal Network, revealing the status quo, hot spots and trends of domestic data economy research from multiple perspectives. Results: The evolution of digital economy research in China has experienced two stages: initial exploration and rapid development; There is too little cooperation

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20

Zhao, Bing. "Research on the Measurements of the Production Factors between the Hi-Tech Zones and the Hinterlands." Applied Mechanics and Materials 556-562 (May 2014): 3043–46. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3043.

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The regional transfer of production factors was the foundation of regional economy, which was connected with non-balance-development theory. The paper, from the angle of regional economy, made a deep study and established the transfer measurements of the production factors of the High-tech zones.Empirical study of the panel data of the High-tech Zone, results showed that the clustering rate in the zones is already good, but the clustering quality of production factors was not ideal.

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Naumova, Olga N. "Clustering of creative industries in the development of regional economy." Vestnik of Samara University. Economics and Management 14, no. 2 (2023): 81–90. http://dx.doi.org/10.18287/2542-0461-2023-14-2-81-90.

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The relevance of the study is related to the definition of the concepts of creative industries, creative economy, cluster of creative industries, which have entered the Russian reality together with national goals and strategic directions for the development of the domestic economy for the period up to 2030, providing new guidelines for the development of entrepreneurship, employment, and requiring state support measures. The purpose of the research is to determine the essence and main characteristics of clusters of creative industries in the regional economy. The objectives of the study are c

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22

Zhou, Yixuan, and Yuehua Geng. "The Study of The Economic Distribution Characteristics of Night Economic Distribution Based on Multi-source Data Fusion." Frontiers in Business, Economics and Management 8, no. 3 (2023): 227–29. http://dx.doi.org/10.54097/fbem.v8i3.7874.

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The night economy is an important representation of urban economic development and consumption level. Based on the night lighting, the data of the POI data, the data of the spatial clustering algorithm of DBSCAN、K-means and other spatial clustering algorithms and the study of the profit and loss of supply and demand, the model of the area and the area domain analysis of the night activity hotspot area and night service facility are established. The fusion of multi-source data provides a new perspective for the night economy, which is more rapid, efficient and extensive than the traditional sur

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23

Blus, Pavel I., and Rustam V. Plotnikov. "Spatial clustering for reducing intraregional unevenness." Journal of New Economy 23, no. 1 (2022): 88–108. http://dx.doi.org/10.29141/2658-5081-2022-23-1-5.

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Growing interregional inequality in the Russian economy adversely affects the territorial integrity of the country’s socioeconomic system and limits the possibilities for the economic development of territories. The research aims to design a new method for clustering Russia’s macroregions with a view to reducing spatial heterogeneity by exploiting the potential of interregional interaction. The new economic geography, regional and spatial economics constitute the methodological basis of the study. The research applies multidimensional statistical methods. Based on the calculation of the Theil

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Melnikov, A. Ye. "Socially Oriented Clustering of a Region's Economy: Specifics and Principles." Journal of the Ural State University of Economics 19, no. 2 (2018): 62–74. http://dx.doi.org/10.29141/2073-1019-2018-19-2-5.

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25

Klunko, Nataliya Sergeevna, and Nina Larionova. "CONCEPTUAL BASIS FOR CLUSTERING THE REGIONAL ECONOMY IN THE CONTEXT OF SMART SPECIALIZATION." Russian Journal of Management 13, no. 5 (2025): 59–72. https://doi.org/10.29039/2500-1469-2025-13-5-59-72.

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At present, cluster elements of the regional economic system are required to ensure comprehensive and successful development of the regional economy, form sustainable growth of the business environment, contribute to improving the well-being of the population and attract the latest innovative technologies in the creation, service sector, and management. The purpose of this article is to study the conceptual foundations of clustering the regional economy in the context of smart specialization. Methodology. The methodological basis of this work is a systems approach that allows us to present the

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26

Rasulov, Sodiq, and Akmal Abduvoxidov. "THE ROLE OF CLUSTERING POLICY IN IMPROVING THE COMPETITIVENESS OF AGRICULTURE IN THE COUNTRY." INNOVATIONS IN ECONOMY 10, no. 3 (2020): 76–84. http://dx.doi.org/10.26739/2181-9491-2020-10-11.

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The formation of a competitive economy, strengthening the position of the country's economy in the world economy, and improving the efficiency of the country's agricultural production is of paramount importance.in the constantly growing conditions of food security problems, the article analyzes the issues of clustering in improving the competitiveness of agriculture

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Rodríguez-Victoria, Orietha Eva, Francisco Puig, and Miguel González-Loureiro. "Clustering, innovation and hotel competitiveness: evidence from the Colombia destination." International Journal of Contemporary Hospitality Management 29, no. 11 (2017): 2785–806. http://dx.doi.org/10.1108/ijchm-03-2016-0172.

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Purpose This paper aims to explore the relationship between clustering and hotel competitiveness in emerging economy destinations by analyzing potential mediation of the management innovations implemented. Design/methodology/approach This empirical study is based on hotel-level information from a survey including 131 hotels in 2014. Colombia was chosen as a representative of Colombia, Indonesia, Vietnam, Egypt, Turkey and South Africa (CIVETS) emerging destinations. The relationships were analyzed by structural modeling and partial least squares. Findings Clustering has a positive direct impac

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Wu, Linjing, Yilong Liao, Yi Chen, and Yuanbo Liu. "Research on the correlation between digital economy and carbon emission based on PSO-Kmeans algorithm." Highlights in Science, Engineering and Technology 107 (August 15, 2024): 601–6. http://dx.doi.org/10.54097/1jqbw820.

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Based on the PSO-Kmeans algorithm, this paper deeply explores the correlation between digital economy and carbon emissions in China's prefecture-level cities. Firstly, random forest algorithm is used to deal with missing values, logarithmic transformation is used to improve data skew distribution, and principal component analysis is used to reduce data dimension, which improves the quality of data analysis. Furthermore, K-means clustering algorithm combined with Hopkins statistics was used to verify the feasibility of clustering. Monte Carlo simulation and PSO-Kmeans algorithm were used to opt

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Kassai, Mahsa, Jacob Kaspar, Ahmed Deif, and Heather Smith. "Exploring farmers markets as a temporary cluster to improve local food economy." British Food Journal 120, no. 8 (2018): 1844–58. http://dx.doi.org/10.1108/bfj-03-2018-0169.

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Purpose The purpose of this paper is to explore how to improve the contribution of farmers markets (FMs) to the local food economy and improve their management through a new temporary clustering management approach. Design/methodology/approach The research encompasses 78 structured interviews with farmers’ market vendors in the central coast region of California. A descriptive statistical and exploratory analysis to capture and evaluate the extent of various clustering activities currently existing in FMs is presented. Findings Analysis suggested an existing clustering behavior in FMs with dif

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Mamontov, G. D., and E. A. Sobol. "THE ROLE OF CLUSTERS IN CIRCULAR ECONOMY." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 7/1, no. 127 (2022): 161–64. http://dx.doi.org/10.36871/ek.up.p.r.2022.07.01.016.

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The factors that determine the importance of clusters are considered not only as one of the means of achieving a competitive advantage by small and medium-sized enterprises through clustering, but also as a link that allows you to focus on the problems of resource efficiency and the establishment of circular value chains. Attention is focused on the need to solve key tasks to accelerate the transition to climate neutrality.

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Liu, Lei, and Guangda Song. "The Prediction of Sports Economic Development Prospect in Different Regions by Improved Artificial Bee Colony Algorithm." Discrete Dynamics in Nature and Society 2022 (March 28, 2022): 1–8. http://dx.doi.org/10.1155/2022/7720250.

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In order to study the development of the sports economy in different regions and analyze the future development prospect of sports economy, this paper uses the k-clustering method to improve the artificial bee colony algorithm and further improve the clustering degree of the bee colony. Among them, the improved artificial bee colony algorithm reduces the incidence of local extreme and improves the accuracy of calculation by setting the weight and threshold of indicators. MATLAB simulation results show that the prediction accuracy of the improved artificial bee colony algorithm for the developm

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32

Rakhmatov, B.B. "CLUSTERING ORGANIZATION DIRECTIONS BASED ON INTERNATIONAL EXPERIENCES." International journal of trends in business administration 12, no. 1 (2022): 155–60. https://doi.org/10.5281/zenodo.6832215.

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The article analyzed the state of cluster development in foreign countries and the ongoing reforms. The participation and role of the state in developing clusters in economically developed countries were revealed.

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Shyposha, V. A. "Problematic Issues and Key Barriers to the Effective Economic Development of the Eastern Regions of Ukraine." Management of Economy: Theory and Practice. Chumachenko’s Annals, no. 2021 (December 23, 2021): 315–45. http://dx.doi.org/10.37405/2221-1187.2021.315-345.

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Currently, clustering is recognized as an effective mechanism and opportunity for structural institutional changes in the economy of the eastern regions of Ukraine The purpose of the study is to identify problematic issues and identify the main obstacles that hold back the effective economic development of the eastern regions of Ukraine. Based on the analysis of the dynamics of the economic development indicators of Donetsk and Luhansk regions, a set of barriers was identified, which are tentatively divided into the following groups: political, regulatory, innovative, investment, informational

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Oksana, Kolomyts Viktoriya Prokhorova Inna Ivanova. "ADVANTAGES AND PROSPECTS OF CREATING REGIONAL HIGH-TECH AGRARIAN CLUSTERS." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES o6, no. 03 (2019): 6881–85. https://doi.org/10.5281/zenodo.2615327.

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<em>One of the breakthrough directions for the development of the agro-industrial complex of Russia in the near future should be its transformation into a high-tech agro-cluster and the preparation of its participants for effective interaction in the digital economy. The authors determined the role of agro-industrial clusters in the development of the agrarian sector of the Russian economy and the impact of the digital economy on these processes through the introduction of breakthrough technologies. Clustering was carried out, based on an emergent approach to identifying and grouping indicator

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Minghui, Gu, Chen Zhaoyan, and Chen Hui. "The Measurement and Spatial-Temporal Distribution of the Development Level of China's Digital Economy." South Asian Journal of Social Studies and Economics 19, no. 3 (2023): 1–10. http://dx.doi.org/10.9734/sajsse/2023/v19i3676.

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Aims: Based on the latest classification standard of digital economy issued by the National Bureau of Statistics of China, this paper makes statistical measurement and analysis of the spatial and temporal distribution of the development level of China's digital economy. Study Design: Establish an indicator system for the development level of the digital economy and measure the spatial correlation between different regions. Place and Duration of Study: School of Statistics and Application, Anhui University of Finance and Economics, China March to May 2023. Methodology: Entropy

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Ma, Hongyan. "The role of clustering algorithm-based big data processing in information economy development." PLOS ONE 16, no. 3 (2021): e0246718. http://dx.doi.org/10.1371/journal.pone.0246718.

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The purposes are to evaluate the Distributed Clustering Algorithm (DCA) applicability in the power system’s big data processing and find the information economic dispatch strategy suitable for new energy consumption in power systems. A two-layer DCA algorithm is proposed based on K-Means Clustering (KMC) and Affinity Propagation (AP) clustering algorithms. Then the incentive Demand Response (DR) is introduced, and the DR flexibility of the user side is analyzed. Finally, the day-ahead dispatch and real-time dispatch schemes are combined, and a multi-period information economic dispatch model i

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Malysheva, K. B. "Background for the Formation of Transport Clustering in the Russian Federation." Economics. Law. Innovaion, no. 3 (September 30, 2022): 31–38. http://dx.doi.org/10.17586/2713-1874-2022-3-31-38.

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The article discusses the trends in the global economy and the development of the transport industry, which created the prerequisites for the formation of a transport and logistics cluster in the territory of the Russian Federation. The purpose of the study is to identify the prerequisites for the formation of transport clustering in Russia. To achieve this goal, an analysis was made of existing strategic documents for the economic development of the country and the transport industry in particular, the impact of world economic events, such as: the consequences of the COVID-19 pandemic on the

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Hamdouch, Abdelillah. "Networking, clustering and innovation dynamics in the global economy: general presentation." Journal of Innovation Economics 4, no. 2 (2009): 5. http://dx.doi.org/10.3917/jie.004.0005.

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DRACHUK, P. E., and D. A. SOROKIN. "FEATURES OF CLUSTERING INDUSTRY IN RUSSIAN REGIONS: THE POLITICAL ECONOMY ASPECT." Scientific Works of the Free Economic Society of Russia 224, no. 4 (2020): 218–34. http://dx.doi.org/10.38197/2072-2060-2020-224-4-218-234.

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Khatsenko, E. S. "PROSPECTS FOR CLUSTERING THE COAL MINING INDUSTRY FOR THE REGIONAL ECONOMY." Ugol', no. 03 (March 8, 2022): 58–60. http://dx.doi.org/10.18796/0041-5790-2022-3-58-60.

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T. V., RAMACHANDRA, and SUBASH CHANDRAN M. D. "Ecology & Economy Integrated Clustering Approaches for Sustainable Development in India." Productivity 60, no. 4 (2020): 356–76. http://dx.doi.org/10.32381/prod.2020.60.04.2.

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Formica, Piero, and Jay Mitra. "Approaches to Clustering and Market Creation in the Dot-Com Economy." Industry and Higher Education 14, no. 6 (2000): 413–23. http://dx.doi.org/10.5367/000000000101295345.

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Clustering is high on the agenda of policy makers these days. Much of the attention has stemmed from the apparent success of firms linked together in a Porterian mould in specific regions. Hence the range of examples from the traditional industrial districts in Italy, the innovative milieux in France and Switzerland, and Silicon valley in the USA. The clusters agenda has moved on from consideration of spatial agglomeration issues to discussions on the convergence of technologies, skills, and resources, learning and knowledge, and interconnectedness between disparate industries resulting from c

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Idrisov, A. E. "CLUSTERING SECTORS OF THE ECONOMY BY THE LEVEL OF TECHNOLOGICAL DEVELOPMENT." Herald of the Belgorod University of Cooperation, Economics and Law 4, no. 101 (2023): 137–48. http://dx.doi.org/10.21295/2223-5639-2023-4-137-148.

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Ravnachka, Aleksandra, and Velimira Stoyanova. "Clustering analysis of the light industry in Bulgaria." Journal of the Bulgarian Geographical Society 46 (July 25, 2022): 31–42. https://doi.org/10.3897/jbgs.e89215.

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Light industry is one of the most important and priority industries in Bulgarian economy. It includes the production of textiles, clothing, and leather. Its development affects the state of the country’s overall economy. Despite the numerous studies that use GIS, in Bulgaria there have been no publications on the application of statistical analysis with the use of ArcGIS software. This study aims to apply Geographic cluster analysis using ArcGIS software to analyze the light industry in Bulgaria as of 2010, 2015, and 2020. The grouping of areas by selected indicators in the present study

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Zhang, Changlu, Qiong Yang, Jian Zhang, Liming Gou, and Haojie Fan. "Topic Mining and Future Trend Exploration in Digital Economy Research." Information 14, no. 8 (2023): 432. http://dx.doi.org/10.3390/info14080432.

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This work proposes a new literature topic clustering analysis framework, based on which the topics of digital-economy-related studies are condensed. First, we calculated the word vector of keywords using the FastText model, and then the keywords were merged according to semantic similarity. A hierarchical clustering method based on the Jaccard coefficient was employed to cluster the domain documents. Finally, the information gain method was applied to estimate the high-gain feature words for each category of topics. Based on the above framework, 23 categories of research topics were formed. We

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., Asrianda, Zulfadli ., and Asrul Fahmi. "Clustering of MSME Development in Lhokseumawe City after Covid 19 Vaccination." Journal of Production, Operations Management and Economics, no. 22 (February 14, 2022): 10–19. http://dx.doi.org/10.55529/jpome22.10.19.

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Clustering is developing the MSME economy that emphasizes cooperation among the various elements . MSMEs' geographical concentration is to link to their ability to synergize. Suppliers of goods, service providers, and business actors are all involved. After the Covid 19 vaccination, develop the economy by managing MSMEs and providing solutions. Clustering can be used to show the region's potential, MSMEs' profiles, regional products, regional opportunities, and qualified businesses that can be developed. Based on testing using the elbow method with SSE, the data clustering process for MSMEs in

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ANOKHINA, Marina Y., Elmira B. DARIBAYEVA, and Gulnar K. JOLDASBAYEVA. "Clustering as a Mechanism of Kazakhstan Agro-industrial Complex Economic Growth." Journal of Advanced Research in Law and Economics 10, no. 4 (2019): 1101. http://dx.doi.org/10.14505//jarle.v10.4(42).11.

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The purpose of the study is to develop the mechanism of clustering the agrarian economy of Kazakhstan as the basis for ensuring the economic growth of the agro-industrial complex (AIC) of the country. The methodology of the research is based on the author's concept of managing the economic growth of agro-industrial production and determining the role of clustering in ensuring its sustainability. In contrast to the previously developed approaches to the management of economic dynamics processes of the industrial complex, the identification of quantitative, qualitative and reproductive component

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Shamsutdinova, Marina R. "MAPPING OF REGIONS AS AN ELEMENT OF THE SYSTEMIC BALANCE OF THE REGIONAL ECONOMY." RSUH/RGGU Bulletin. Series Economics. Management. Law, no. 4 (2023): 89–99. http://dx.doi.org/10.28995/2073-6304-2023-4-89-99.

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The article is dealing with the consideration of options for clustering regions on such grounds as: the innovative dynamics of the region; the material components of the potential and the level of risk of entrepreneurial activity; the balance of income and the level of the development industries dynamics; the evel of systemic balance of the economy of the region; the nature of structural changes in the economy of the region. The system of assessment of the potential of systemic development should be formed from three components. Such clustering is proposed for the purpose of further mapping of

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Kniazevych, Anna, Volodymyr Olikhovskyi, and Marta Olikhovska. "CLUSTERING OF THE ECONOMY AS A MEANS OF DEVELOPING AN INNOVATION INFRASTRUCTURE." Baltic Journal of Economic Studies 7, no. 3 (2021): 134–39. http://dx.doi.org/10.30525/2256-0742/2021-7-3-134-139.

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The experience of the functioning of national innovation systems in the developed countries indicates that the development of an innovative model of the national economy is impossible without the formation of an active innovation infrastructure. The article deals with the problems of formation and development of the innovation infrastructure of the country in difficult social and economic conditions based on clustering of the economy. The purpose of the research is to analyze the role and impact of clusters on self-organization and self-development of the country’s innovation infrastructure in

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Ravnachka, Aleksandra, and Velimira Stoyanova. "Clustering analysis of the light industry in Bulgaria." Journal of the Bulgarian Geographical Society 46 (July 25, 2022): 31–42. http://dx.doi.org/10.3897/jbgs.e89215.

Full text

Abstract:

Light industry is one of the most important and priority industries in Bulgarian economy. It includes the production of textiles, clothing, and leather. Its development affects the state of the country&rsquo;s overall economy. Despite the numerous studies that use GIS, in Bulgaria there have been no publications on the application of statistical analysis with the use of ArcGIS software. This study aims to apply Geographic cluster analysis using ArcGIS software to analyze the light industry in Bulgaria as of 2010, 2015, and 2020. The grouping of areas by selected indicators in the present s

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