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Journal articles on the topic 'Agricultural cluster'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Saidov, Mukhammadali, and Ilhom Ochilov. "Theoretical analysis of agricultural clusters in innovative economy." BIO Web of Conferences 65 (2023): 03006. http://dx.doi.org/10.1051/bioconf/20236503006.

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This article analyzes the theoretical aspects of clusters in the innovative economy and their management, including the increase in economic efficiency of agro-clusters as a result of the organization of the agricultural sector on the basis of “production - service - production - storage - supply - processing - sales” development of cluster services, increase in production and diversification of exported finished products as a result of improvements, the authors have developed a unique, new definition of the term “cluster”. From a methodological point of view, the “face” of a cluster, its spec

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2

Nikoliuk, Olena, Tetiana Savchenko, and Serhii Volyk. "Strategic aspects of cluster organization of agricultural production." Ukrainian Journal of Applied Economics and Technology 7, no. 2 (2022): 447–52. http://dx.doi.org/10.36887/2415-8453-2022-2-55.

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The article examines the main strategic aspects of the cluster organization of agricultural production. Existing research on this topic was analyzed, and the possibilities of cluster organization of agricultural production under modern conditions were studied. It is emphasized that the formation of self-governing cluster agro-industrial associations is one of the critical components of reforming the system of managing the development of agro-industrial production in the conditions of decentralization of power, European integration, and the development of inter-economic and public self-governme

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Susetyo, Yerymia Alfa. "Model Clustering Zona Kesesuaian Lahan menggunakan Kombinasi Algoritma Fuzzy C-Means dan Partition Coefficient Index." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 3 (2023): 1395. http://dx.doi.org/10.30865/mib.v7i3.6097.

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The agricultural sector is one of the vital supporters of national development. The planning of a good agricultural system needs to be supported by looking at the characteristics of each region. The diversity of agricultural areas in Indonesia needs to be simplified by classification according to their similar characteristics. This study aims to group the area of land suitability in an agricultural area. Clustering is obtained using the Fuzzy C-Means algorithm that is validated using the Partition Coefficient Index. Agriculture zone clusters are obtained from the identification of the characte

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Tkacheva, A. I., G. K. Saparova, and S. K. Ryskulova. "Problems and prospects for the development of agricultural enterprises in the conditions of agricultural cluster." Bulletin of "Turan" University, no. 2 (June 29, 2025): 470–87. https://doi.org/10.46914/1562-2959-2025-1-2-470-487.

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The article examines the issues and prospects of agricultural enterprises within agricultural clusters. It analyzes key aspects of agricultural cluster functioning, including the integration of producers, processors, and distribution structures, as well as the impact of innovative technologies on production efficiency. The article emphasizes that the successful implementation of the agricultural cluster model requires a comprehensive approach, involving synergy between producers, processors, retail networks, and government structures. A key part of the research is the calculation of profitabil

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Nuri, Omurbek, Onur Akcakaya, and Ezgi Dilan Urmak Akcakaya. "Integrating cluster analysis with MCDM methods for the evaluation of local agricultural production." Croatian Operational Research Review 12, no. 2 (2021): 105–17. http://dx.doi.org/10.17535/crorr.2021.0009.

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This study aims to cluster Turkish cities based on their local agricultural production and rank them in terms of performance by combining cluster analysis and multi-criteria decision-making (MCDM) methods. In this context, a three-phase methodology is developed. In the first phase, Ward's method is utilized to cluster cities according to agricultural production characteristics. In the second phase, the objective criteria weights are determined using the Criteria Importance Through Intercriteria Correlation technique (CRITIC). In the third phase, to rank the clusters in terms of performance, th

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Yekimov, Sergey, Stanislava Kontsevaya, Anastasiya S. Poltorak, Oleksandr Sharin, Iryna Verkhovod, and Yurii Kuris. "The importance of agricultural clusters for the development of rural regions." E3S Web of Conferences 538 (2024): 03004. http://dx.doi.org/10.1051/e3sconf/202453803004.

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The formation of agro-industrial clusters makes it possible to increase the competitiveness of agricultural regions. Agricultural clusters allow increasing food production, as well as creating an integrated, geographically localized structure that includes the entire chain involved in the production of agricultural products, starting from the sale and maintenance of agricultural machinery and ending with the storage and processing of crops. The agro-industrial cluster allows the dissemination of innovations among the enterprises participating in this cluster. Within the framework of the agricu

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Akhmedova, Elena Aleksandrovna, Anna Vladimirovna Zhogoleva, and Elena Sergeevna Mal'tseva. "CITY AND AGRICULTURAL CLUSTER." Urban construction and architecture 4, no. 1 (2014): 13–18. http://dx.doi.org/10.17673/vestnik.2014.01.2.

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The article examines the questions of the interaction of city structure and countryside spatial systems. There is an overview of the international and local experience, giving a range of various examples of interaction between the city and the countryside in conclusion the agricultural cluster is considered as a solution of the problem of the city and the countryside interaction. The concept of the cluster is explained and there is given information about its function and its constituent objects.

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Makhmasobirova, Nigora. "FEATURES OF THE DEVELOPMENT OF EUROPEAN AGRICULTURAL CLUSTERS AND THEIR IMPORTANCE IN THE REGIONAL ECONOMY." INNOVATIONS IN ECONOMY 4, no. 1 (2021): 30–39. http://dx.doi.org/10.26739/2181-9491-2021-1-5.

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The article describes the development characteristics and regional significance of agro-industrial clusters in Europe on the example of French and Spanish agro-industrial clusters. In particular, were investigated the activities of the Vegepolys cluster, the Agri Sud-Owest Innovation cluster, the Burgundy wine cluster in France, and Femac, the Catalan Cluster of agricultural production means in Spain

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Zos-Kior, Мykola, Olga Shkurupii, Iryna Hnatenko, Oleg Fedirets, Iryna Shulzhenko, and Viktoriia Rubezhanska. "Modeling of the Investment Program Formation Process of Ecological Management of the Agrarian Cluster." European Journal of Sustainable Development 10, no. 1 (2021): 571. http://dx.doi.org/10.14207/ejsd.2021.v10n1p571.

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The existence of contradictions between the natural environment and economic activity, including the functioning of agricultural clusters, has led to the need to transfer production to a qualitatively new level, associated with adaptation to environmental conditions. In this regard, the objective of this study is to develop algorithms and economic-mathematical models for environmental safety assessment and decision support in the environmental management system of the agricultural cluster. The article formulates criteria for assessing the environmental safety of agricultural enterprises, which

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Lubova, Tatiana, Guzel Salimova, Gulnara Nigmatullina, Damir Islamgulov, and Aidar Sharafutdinov. "Modeling the development of agricultural production by cluster analysis." E3S Web of Conferences 392 (2023): 01025. http://dx.doi.org/10.1051/e3sconf/202339201025.

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The article carried out a multidimensional grouping of the regions of the Central and Volga Federal Districts of the Russian Federation according to indicators characterizing the state and development of agricultural production. The cluster analysis method was applied twice: when constructing a system of indicators for grouping regions and when combining regions into clusters. This approach made it possible to enhance the practical significance of the study, made it possible to objectively analyze and formulate reasonable specific conclusions and recommendations for the regions of each cluster

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Maisuradze, I. "PROSPECTS FOR THE CLUSTER ACTIVITY IN THE AGRICULTURAL FIELD: PROBLEMS AND SOLUTIONS." SCIENTIFIC-DISCUSSION, no. 90 (July 14, 2024): 51–53. https://doi.org/10.5281/zenodo.12740050.

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This article explores the prospects of cluster activity in the agricultural sector, highlighting the problems faced and potential solutions. The article aims to provide insights into overcoming these obstacles and optimizing cluster performance by analyzing the challenges faced by clusters in the agricultural industry. The findings and recommendations presented in this article enhance the effectiveness and sustainability of cluster initiatives in the agriculture sector.

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01, Riska, Zamahsary Martha, Dony Permana, and Fadhilah Fitri. "K-Medoids Cluster Analysis for Grouping Provinces in Indonesia Based on Agricultural Households ST2023." UNP Journal of Statistics and Data Science 2, no. 3 (2024): 324–29. http://dx.doi.org/10.24036/ujsds/vol2-iss3/193.

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Indonesia is an agrarian country where the majority of its population works in the agricultural sector. The agricultural sector is one of the main sectors in economic development, playing a significant role and having great potential. Despite its potential and high labor absorption, the reality shows that most farmers are still part of the lower-middle class. This is evidenced by the high number of poor people who depend on the agricultural sector. Therefore, cluster analysis is conducted to help the government and stakeholders design policies for agricultural revitalization. This study uses K

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13

Wu, Juan. "SWOT Analysis and Research on the Informatization Application Model of the Agricultural Industry Cluster." Applied Mechanics and Materials 571-572 (June 2014): 1105–9. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1105.

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The informatization of agricultural industry cluster promotes agricultural modernization. However, agricultural industry cluster in China has no real use of modern information technology. It does not form a rational application system and perfect frame structure, and also it has not reached in the true sense of "industrial clusters", further it influences the competitiveness of agricultural regional economy and the individual as a whole. We mainly study the model of agricultural industrial cluster information, combined with the realistic version of the "happy farm", by reference to the network

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Napolskikh, Dmitry. "The model of neoclusterization as a theoretical basis of innovative development of the agricultural sector of the Volga region." E3S Web of Conferences 240 (2021): 04003. http://dx.doi.org/10.1051/e3sconf/202124004003.

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This article examines the contradictions and the characteristics of clustering and innovative development in the agricultural sector. The author’s approach focused on the development of an integrated clustering model of the Volga Region economic space, considering clusters as the fundamental segments of the agricultural sector. The international experience in coordination of territorial and agricultural cluster development was taken into account, the characteristics of the implementation of the Russian cluster policy are attributed. A set of parameters were collected in order to be able to cha

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Surya Febrian, Sandi, and Ali Mutasowifin. "Selection of agricultural industry stocks by application of K-means algorithm with Elbow method." BIO Web of Conferences 171 (2025): 04003. https://doi.org/10.1051/bioconf/202517104003.

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Portfolio concentration is investing in assets with specific characteristics within the same sector. Agricultural product industry stocks can be used as an option to form portfolio concentration because they have good growth and performance. This study aims to cluster agricultural product industry stocks listed on the Indonesia Stock Exchange from 2020-2023 using the K-Means clustering algorithm with the Elbow method using the Python 3.10 analysis tool to determine clusters that contain a collection of stocks with the best financial performance. The research resulted in an optimal number of cl

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16

Volyk, Sergii, Tetiana Savchenko, and Inna Pribylnova. "Strategic management of the agricultural sector's competitiveness: development of cluster structures." Ukrainian Journal of Applied Economics and Technology 8, no. 4 (2023): 371–75. http://dx.doi.org/10.36887/2415-8453-2023-4-59.

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The article examines the possibility of developing a strategy for managing the agricultural sector's competitiveness based on cluster structure development. The existing research on this topic was analyzed, and the possibilities of clustering the agricultural sector in martial law conditions were studied. It is emphasized that in the conditions of hostilities, coordination of efforts between agricultural enterprises, authorities, local communities, and other interested parties becomes essential to ensure the stability and development of the agricultural sector; in particular, the development o

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17

UKIBAYEVA, Gulim Kabikenovna, Ainura Anatolyevna KOCHERBAYEVA, Gulnara Rapikovna TEMIRBAEVA, Gaukhar Amanzholovna DAUKENOVA, and Dana Sultankhanovna KURMANOVA. "Cluster Management Technologies as the Tendency for Development of the Agricultural Industry." Journal of Environmental Management and Tourism 9, no. 5 (2018): 895. http://dx.doi.org/10.14505//jemt.v9.5(29).01.

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The relevance of creating clusters is due to the fact that there is a need to switch to an innovative type of development. To increase the competitiveness of products and introduce innovations into production, the cluster is defined as a system of interrelated forms of various agricultural enterprises. In most countries, cluster development policy is an organizational form of industrial integration. Effective functioning of clusters leads to economic growth and increased competitiveness of the region economy. The main goal of the work is to consider the possibility of introducing a clust

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18

Li, Erling, Yanan Xu, Shixin Ren, and Jay Lee. "Spin-Offs, Innovation Spillover and the Formation of Agricultural Clusters: The Case of the Vegetable Cluster in Shouguang City, Shandong Province, China." Land 11, no. 2 (2022): 279. http://dx.doi.org/10.3390/land11020279.

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Agricultural clusters play a powerful role in promoting the agricultural transformation and rejuvenation of rural areas. However, no in-depth exploration has been made on how agricultural clusters form and evolve, especially in the context of China’s long-term small-scale rural economy. The purpose of this article is to reveal the formation process and evolution mechanism of agricultural clusters by case study research. With the knowledge flow as the starting point, this article takes the Vegetable Cluster in Shouguang City of Shandong Province, China as an example to construct a theoretical f

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19

Dankevych, Vitalii, and Petro Pyvovar. "Agricultural land transactions: cluster analysis." Ekonomika APK, no. 3 (March 28, 2019): 42–51. http://dx.doi.org/10.32317/2221-1055.201903042.

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20

ABLYAMITOVA, A. L. "OPPORTUNITIES FOR THE FORMATION OF INTEGRATION SYSTEMS IN THE AGRO-INDUSTRIAL COMPLEX." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2, no. 5 (2021): 47–54. http://dx.doi.org/10.36871/ek.up.p.r.2021.05.02.009.

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The paper substantiates the theoretical foundations of the formation of agricultural territorial-industrial cluster associations, the mechanism of their effective functioning and ensuring the competitiveness of integrated business entities. The structural model of the regional association of agro-industrial clusters and cooperatives is justified. The proposed model of regional cluster integration includes industry-specific product clusters. It is proposed to create an agricultural service cooperative at the village level, and a multifunctional service cooperative at the district level.

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21

Cherkasova, Tatiana, Elena Zolochevskaya, Evgenia Kondratenko, Anna Kritskaya, and Oleg Artyukhin. "Agrocluster as an instrument of socio-economic policy for the development of the region (based on the Rostov Region data)." E3S Web of Conferences 273 (2021): 08062. http://dx.doi.org/10.1051/e3sconf/202127308062.

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The purpose of the article is to identify additional opportunities for using agricultural clusters to stimulate the socio-economic development of agricultural territories and diagnose the constraining problems of modern clustering policy using the example of the Rostov region. The use of the cluster methodology made it possible to rethink the toolkit of the regional policy, considering not individual enterprises as an object of regulation, but integrated structures that can become regional “growth areas”. The article describes some interesting findings. First, the cluster strategy made it poss

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Kernasiuk, Yurii. "Clusters as an innovative organizational and economic form of efficient agricultural production in the system of sustainable development." Ekonomika APK 311, no. 9 (2020): 86–94. http://dx.doi.org/10.32317/2221-1055.202009086.

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The purpose of the article is to highlight the conceptual understanding of the cluster as an innovative organizational and economic form of production in the system of sustainable development on the example of the agricultural sector and substantiate the scientific basis for ensuring its implementation at the regional level. Research methods. When carrying out the research, a set of general scientific methods and techniques was used; monographic - in the study of domestic and foreign publications and the above-mentioned problems; a systematic approach based on the principles of systems analysi

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Salimova, Guzel, Zariya Zalilova, and Milyausha Lukyanova. "Study of regional agricultural production using multivariate analysis techniques." E3S Web of Conferences 371 (2023): 03043. http://dx.doi.org/10.1051/e3sconf/202337103043.

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The article substantiates the application of the cluster analysis method on empirical data. A system of indicators of agricultural production has been designed. A multidimensional grouping by the method of cluster analysis was carried out, the regions were grouped into clusters according to the level of resource provision in the industry, the effectiveness and efficiency of production, its technical, scientific potential and support. The characteristics of each cluster are given, the main strengths and weaknesses of the agriculture of the regions are shown according to the selected indicators.

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Dzhanhirov, Oleksandr. "Institutional and functional aspects of clusterization in investment provision of the agricultural sector." Ukrainian Journal of Applied Economics and Technology 2024, no. 4 (2024): 431–34. https://doi.org/10.36887/2415-8453-2024-4-67.

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The article explores the theoretical and practical aspects of clustering as an effective mechanism for investment support in the development of the agricultural sector of the economy. The essence of cluster formations, their characteristic features, and differences from other forms of business integration are considered. The main approaches to creating clusters are analyzed, among which territorial, sectoral, functional, technological, and institutional are distinguished. Particular attention is paid to the functional approach, where the coordination of participants in the value chain is key.

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Stydinska, Halyna, and Volodymyr Mamchur. "Cluster as an innovative form of cooperation in the agricultural sphere of Ukraine." Market Relations Development in Ukraine 92, no. 4(275) (2024): 24–32. https://doi.org/10.5281/zenodo.12208129.

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The object of the study is the agrarian cluster, as an innovative form of cooperation that ensures the improvement of the efficiency of the development of the agrarian sphere of Ukraine.The subject of the study is functional relations between business entities in an agrarian cluster,as an innovative form of cooperation.The purpose of the study is to analyze the functional relationships between economic entities inthe agricultural cluster as an innovative form of cooperation.The scientific novelty consists in the detailing of the tasks and functional connections between theeconomic entities of

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Afroz, S., MS Noman, MS Hossain, AA Mamun, N. Howlader, and S. Ara. "Multivariate Analysis Approach to Select Parents for Hybridization Aiming at Yield Improvement in Cucumber (Cucumis sativus L.)." Journal of Environmental Science and Natural Resources 6, no. 1 (2015): 33–36. http://dx.doi.org/10.3329/jesnr.v6i1.22036.

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Twenty two genotypes of cucumber (Cucumis sativus L.) were evaluated using D2 and principal component analysis (PCA). The genotypes were collected from Plant Genetic Resources Centre (PGRC) of Bangladesh Agricultural Research Institute (BARI), Gazipur , Agro-G, & Lal Teer seed company. The study was undertaken at Sher-e-Bangla Agricultural University Farm, Dhaka during March 2010 to October 2010 to select suitable donor parents for improved breeding of cucumber. Principal component analysis (PCA) revealed that the first two axes accounted for 67.39% of the total variation among the fourtee

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Urdushev, Kh, S. Eshankulov, and M. Mavlyanov. "THE ROLE OF CLUSTERS IN INCREASING THE ECONOMIC POTENTIAL OF AGRICULTURAL ENTERPRISES." Journal of Science and Innovative Development 4, no. 3 (2021): 13–26. http://dx.doi.org/10.36522/2181-9637-2021-3-2.

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Currently, the issue of transferring the economy of the republic and its regions to an innovative path of development has become relevant for Uzbekistan. Forming up a cluster model of development is important in terms of creating an innovative economy at regional level. Globalization of the farming economy has urged the search for new directions of the efficiency of farming in Uzbekistan. Formation of clusters in the economy of the majority of developed countries took place in an evolutionary way based on emerging relationships between economic entities. One of these areas is the fruit and veg

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Amudha, K., and G. Ariharasutharsan. "Genetic diversity of yield related traits in a large subset of exotic and indigenous rice germplasm collection maintained at Tamil Nadu Agricultural University gene bank." Oryza-An International Journal on Rice 58, no. 4 (2021): 487–95. http://dx.doi.org/10.35709/ory.2021.58.4.4.

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The present investigation was carried out to explore the extent of genetic divergence in 95 rice germplasm accessions for twelve characters during kharif, 2018. In D2 analysis, the 95 genotypes were grouped into fifteen clusters. The clustering pattern indicated that there was no parallelism between genetic diversity and geographical origin as the genotypes from same origin were included in different clusters and vice versa. The highest intra cluster distance was registered in cluster V (215.183) followed by cluster IX (209.831), cluster VIII (204.057) and cluster XIV (202.623).The maximum int

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Evgeni Baratashvili, Evgeni Baratashvili. "Agriculture Regional Cluster." Economics 107, no. 3-5 (2025): 80–90. https://doi.org/10.36962/ecs107/3-5/2025-80.

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The competitiveness of the Georgian economy is discussed and analyzed in the article. It remains a key issue of development, since it provides positive dynamics for the development of strategic goals of socio-economic development and the development of significant sectors of the economy. In recent years, the competitiveness of the national economy is one of the main points of research and publications based on many theoretical and applied research, and successful and unsuccessful examples of competitive international competitiveness in the industry's competitiveness. While ensuring enterprises

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Mikhaylova, Valerikovna. "CLUSTER APPROACH IN THE DEVELOPMENT OF SMALL AGRIBUSINESS SUBJECTS." Vestnik of Kazan State Agrarian University 18, no. 1 (2023): 121–26. http://dx.doi.org/10.12737/2073-0462-2023-121-126.

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The number of small agricultural business entities includes agricultural enterprises of various organizational and legal forms (with the exception of state and municipal enterprises, dependent and subsidiaries and partnerships), as well as agricultural consumer cooperatives, peasant (farmer) households, and household households. At present, the small agricultural business of the Republic of Tatarstan is represented by over 470 thousand personal, about 3 thousand farms and more than 300 agricultural consumer cooperatives. Personal subsidiary farms use  1 499.3 thousand hectares of agricul

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Lubova, Tatiana, Irek Araslanbayev, Guzel Salimova, Gulnara Nigmatullina, and Damir Islamgulov. "Solving problems of agricultural production development by modeling using the cluster analysis method." BIO Web of Conferences 66 (2023): 14002. http://dx.doi.org/10.1051/bioconf/20236614002.

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The article outlines the need to apply a systematic approach to the analysis and solution of agricultural production development problems. The system approach implementation is carried out using a multidimensional data analysis method – the cluster analysis method. A system of indicators characterizing the conditions and results of agricultural enterprises in the regions of the Central and Volga Federal Districts of the Russian Federation has been built, a multidimensional grouping of regions has been carried out to identify problems and directions for their solution. The multidimensional appr

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Putsenteilo, Petro, and Yaroslav Kostetskyi. "Using cluster analysis methods to forecast the investment development of agricultural sector enterprises." INNOVATIVE ECONOMY, no. 7-8 (2020): 88–99. http://dx.doi.org/10.37332/2309-1533.2020.7-8.12.

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Purpose. The aim of the article is substantiation and use of cluster analysis methods for forecasting investment development of agricultural sector enterprises. Methodology of research. The theoretical and methodological basis of the article is the fundamental provisions of modern economics. The following methods are used in the process of research: analysis and synthesis – to study the object and subject of research; grouping, abstract and logical – for theoretical generalizations of research results and formulation of conclusions; tools of econometric modelling: method of cluster analysis, c

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Poudel, Biswo N., Krishna P. Paudel, and David Zilberman. "Agricultural Productivity Convergence: Myth or Reality?" Journal of Agricultural and Applied Economics 43, no. 1 (2011): 143–56. http://dx.doi.org/10.1017/s1074070800004107.

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We tested agricultural productivity convergence in the United States using the state level total factor productivity data and utilizing new estimation and cluster identification methods to identify convergence in the data. The empirical investigation did not indicate any evidence of agricultural total factor productivity (TFP) convergence at the state level. However, we found the evidence of TFP convergence at the regional level for some regions/clusters.

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Dzhanhirov, Oleksandr. "Theoretical and methodological aspects of investment provision of the development of cluster formations in the agricultural sector." Ukrainian Journal of Applied Economics and Technology 2025, no. 1 (2025): 390–94. https://doi.org/10.36887/2415-8453-2025-1-67.

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This article explores the theoretical and methodological aspects of investment support for the development of cluster formations in the agricultural sector of Ukraine. It is determined that in the context of globalization and increasing competition, adequate investment support is a key factor in improving the farm sector’s competitiveness and ensuring the sustainable development of rural areas. The article examines the current state of development of cluster initiatives in the agricultural sector of Ukraine and identifies the main problems and prospects for their development. The experience of

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Melynda Isaura, Fauzi Dwi Aryasatyawan, and Sri Pingit Wulandari. "Analisis Kesenjangan Regional di Sektor Pertanian Indonesia Tahun 2023 Melalui Pendekatan Cluster." Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam 2, no. 4 (2024): 124–44. https://doi.org/10.59581/konstanta.v2i4.4253.

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Indonesia is an agricultural country with great potential in the agricultural sector, both as a source of livelihood and as an economic driver. This sector has an important function in food security, improving farmers' welfare, and preserving the environment. Given Indonesia's regional diversity, it is important to develop policies that suit the agricultural characteristics of each region. This research uses the clustering method, a technique that groups data based on similar characteristics so that objects in one group (cluster) have high similarities, while between clusters they are differen

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Rahimov, Bahromjon I., Bekzodon Sh Yoldashev, and Behzodbek B. Ibrahimov. "THE NEED TO ORGANIZE A CLUSTER IN THE AGRICULTURAL NETWORK." International Journal Of Management And Economics Fundamental 03, no. 02 (2023): 9–19. http://dx.doi.org/10.37547/ijmef/volume03issue02-02.

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Today, the development of the agricultural network is the only source of providing the population with quality and useful food for human life and strengthening the country's food security. At the same time, the development of the agricultural sector provides a large part of the country's labor resources with permanent jobs and guaranteed income.

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Nalajala, Sindoora, N. Brajendra Singh, M. Samuel Jeberson, Sonika Yumnam, and Bireshwar Sinha. "Genetic divergence studies for yield and its component traits in Mung bean (Vigna radiata L. Wilczek)." Environment Conservation Journal 24, no. 3 (2023): 14–20. http://dx.doi.org/10.36953/ecj.14422436.

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The present investigation was carried out at Genetics and Plant Breeding (GPB) farm, College of Agriculture, Central Agricultural University, Imphal, Manipur during kharif 2021 using 60 genotypes of Mung bean. Mahalanobis D2 statistics was used to evaluate the diversity. A total of fourteen clusters were formed with maximum number of genotypes in cluster I i.e., 29 genotypes followed by cluster II with 17 genotypes, cluster XII with 3 genotypes, all the remaining clusters were mono genotypic. It was found that the pattern of genotype distribution into different clusters was random and unrelate

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Liu, Yishu, and Xia Wang. "Promoting Competitiveness of Green Brand of Agricultural Products Based on Agricultural Industry Cluster." Wireless Communications and Mobile Computing 2022 (April 21, 2022): 1–18. http://dx.doi.org/10.1155/2022/7824638.

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Agricultural industrial clusters are the basis for the formation of regional brands of agricultural products and also an effective way to enhance the regional brand value and competitiveness of agricultural products. Based on the agricultural industry cluster, carry out regional brand building of agricultural products, emphasizing that the production of agricultural products from raw material bases to product sales in specific administrative areas, and even the collaborative production services of relevant agricultural technology research and development institutions are connected to the local

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Aulin, Viktor, Dmytro Holub, Andrii Hrynkiv, and Serhii Lysenko. "Formation of Logistic Project-Oriented Clusters in Regional Supply Chains of Agricultural Products." Central Ukrainian Scientific Bulletin. Technical Sciences 2, no. 10(41) (2024): 214–27. https://doi.org/10.32515/2664-262x.2024.10(41).2.214-227.

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The concept of a logistics project-oriented cluster, as an effective regional economic unit, which makes it possible to solve the problems of the region, is considered. The advantages of this type of clusters are highlighted and its adaptation into the structure of the economy of Kirovohrad region is proposed. A number of main barriers to the creation of logistics project-oriented clusters of regional systems were analyzed using the example of the Kirovohrad region. An overview of investment projects and the existing logistics infrastructure of the Kirovohrad region was carried out. It is prop

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A., Deivanai,, M. Dhanapriya, M. Dhivyalakshmi, and S. Chitra. "Assessment of Genetic Diversity of Rice (Oryza sativa (L.) Genotypes under Aerobic Condition." Asian Journal of Current Research 10, no. 1 (2025): 73–78. https://doi.org/10.56557/ajocr/2025/v10i19083.

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The present study was carried out at Anbil Dharmalingam Agricultural College and Research Institute, Trichy under aerobic conditions. The experimental material comprised forty-nine rice genotypes, which were laid out in randomized complete block design with two replications. The data on ten quantitative characters were recorded to assess the magnitude of genetic diversity through D2 analysis. Based on genetic distance, rice genotypes were grouped into five clusters. Among the five clusters, cluster I had the highest number of genotypes (42) and cluster V had the lowest number of one genotype.

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Tkacheva, Anastassiya, Saniya Saginova, Madina Karimbergenova, Timur Taipov, and Gulnar Saparova. "Problems and Prospects for the Development of Cluster Structuring in the Economy of Kazakhstan’s Agricultural Sector: Theory and Practice." Economies 12, no. 7 (2024): 185. http://dx.doi.org/10.3390/economies12070185.

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This article discusses the issues of cluster policy formation in the Republic of Kazakhstan on the basis of studying the experience of leading countries. The research aim is to find new effective tools and institutions for the development of the cluster structuring of the agro-industrial complex economy of Kazakhstan. Cluster policy in the field of supporting regional clusters starts with the identification of already existing clusters in the region, because by viewing the regional economy through the prism of various local industries and innovative enterprises, regional authorities can identi

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Aranchiy, Valentyna, Оleksii P. Zoria, Tetiana S. Halinska, and Tymofii T. Golban. "INSTITUTIONAL FUNDAMENTALS FOR THE FORMATION OF INVESTMENT-INNOVATION CLUSTERS IN THE AGRARIAN SECTOR." Ukrainian Journal of Applied Economics, no. 2 (2019): 17–23. http://dx.doi.org/10.36887/2415-8453-2019-2-2.

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Abstract Introduction. For further effective development of agricultural production, it is necessary to develop new economic mechanisms and forms of interaction between the state, business, science and education to accelerate the process of introduction of new developments in production, attracting investment in the agricultural sector. The work is aimed at improving the mechanisms for managing the investment and innovation development of agricultural production on the basis of the creation of regional clusters, using public-private partnerships to ensure the transfer of innovations to agricul

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Isroilov, Bahodir Ibragimovich, and Ilhom Sayitkulovich Ochilov. "Improvement Of Organizational And Economic Mechanisms Of Organization Of Vine Clusters." American Journal of Social Science and Education Innovations 03, no. 08 (2021): 27–33. http://dx.doi.org/10.37547/tajssei/volume03issue08-07.

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The article analyzes the role and importance of cluster structures in the development of the agricultural sector and foreign experience in organizing their activities. The authors also assessed the organizational mechanisms of agro-clusters and their role in improving the efficiency of cluster performance. As a result of the research, recommendations have been developed to improve the organizational and economic mechanisms of agro-clusters in Uzbekistan.

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Sitnicki, Maksym W., Dmytro Kurinskyi, Olena Pimenowa, Mirosław Wasilewski, and Natalia Wasilewska. "Strategic Formation of Agricultural Market Clusters in Ukraine: Emerging as a Global Player." Sustainability 16, no. 21 (2024): 9430. http://dx.doi.org/10.3390/su16219430.

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This study investigates the cluster approach to optimize strategies for agricultural enterprises in Ukraine, emphasizing geographical proximity as a key factor in cluster formation. The research applies Kohonen Self-Organizing Maps (SOMs) and Ward’s hierarchical clustering to classify enterprises based on storage capabilities, transport logistics, crop yields, and military risk exposure. By analyzing these factors, this study identifies distinct patterns of innovation adoption, strategic management, and economic resilience among the clusters. The findings highlight variations in competitivenes

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DRAHUN, M., I. IVANOUSKAYA, and Yu VOLKAVA. "FORMATION OF REGIONAL AGRICULTURAL CLUSTERS: EXAMPLE OF THE GOMEL REGION." Экономическая наука сегодня, no. 7 (June 25, 2018): 132–38. http://dx.doi.org/10.21122/2309-6667-2018-7-132-138.

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Based on the information of monitoring activities of the cluster development of the economy of the Gomel region conducted in 2016, the list, composition and geographic location of the basic organizations and participants of potential agro-industrial clusters of the region is presented for the first time. Practical guidance aimed at the formation and efficient operation of agro-clusters of the region are formulated.

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Rasool, Asif, and David Abler. "Heterogeneity in US Farms: A New Clustering by Production Potentials." Agriculture 13, no. 2 (2023): 258. http://dx.doi.org/10.3390/agriculture13020258.

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This paper uses agglomerative hierarchical cluster analysis to group 2778 farming-defined counties into six clusters, revealing farm patterns across the contiguous 48 states of the United States. To understand the differences in economic performance and improve farm households’ well-being, economists have endeavored to identify patterns in US farming. The US is a leading global producer and exporter of many agricultural and food products. Our primary objective is to construct a policy-relevant farm clustering to characterize agricultural homogeneity in US farms’ production potential. We identi

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Kobylynska, Т. V. "Application of Cluster Analysis for Identifying Homogenous Zones of Operation of Agricultural Enterprises." Scientific Bulletin of the National Academy of Statistics, Accounting and Audit, no. 4 (December 20, 2017): 32–39. http://dx.doi.org/10.31767/nasoa.4.2017.04.

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The cluster analysis ofagricultural enterprises is made by region Ukraine. The analysis is made by the agricultural sector and its subsectors: plant-growing and animal husbandry. Homogenous regional zones characterizing the performance agricultural enterprises are identified. The clustering is made using SPPS software. In the problems involved in the cluster analysis Euclidean distance is used. The cluster analysis is used for constructing green maps illustrating the impact agricultural activities at enterprises on the production output of the agricultural sector and its subsectors: plant-grow

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Barmuta, Karine, Bekjon Matjonov, Rustem Shichiyakh, and Olga Dymchenko. "Cluster initiatives in agricultural sector: current state, problems and prospects of development." BIO Web of Conferences 93 (2024): 03001. http://dx.doi.org/10.1051/bioconf/20249303001.

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Based on the use of complex and systematic approaches, the article develops the problematic field that characterizes the current state of agro-industrial clusters in Russia in all areas of their activities, taking into account factors of the external and internal environment. The main directions for improving the efficiency of cluster initiatives in the country's regions are substantiated, considering positive domestic and foreign experience. A concept model for creating a regional agro-industrial cluster is developed, considering the entire chain of its operation in the region and the engagem

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Islam, MR, MM Rahman, M. Zakaria, MA Hoque, and M. Hasan. "Genetic Diversity in Snake Gourd (Trichosanthes Cucumerina Var. Anguina L.)." Bangladesh Journal of Agricultural Research 45, no. 2 (2022): 99–111. http://dx.doi.org/10.3329/bjar.v45i2.59858.

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Multivariate analysis of fifty five genotypes of snake gourd was performed at the experimental field of Horticulture Department, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh from March to June, 2017 to estimate genetic diversity and choosing the potential parents for a successful hybridization program. The genotypes are grouped into six clusters according to an analysis of Principal Component Analysis (PCA) and Mahalanobis D2. The highest inter-cluster distance was noted between clusters I and VI (205.66) and the lowest between clusters II and V (38.87). The m

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PROSKURA, Dmitrii V., Marina L. NECHAEVA, Tat'yana N. KUTAEVA, and Andrei A. KUTAEV. "Cluster approach to the grain industry development." Economic Analysis: Theory and Practice 23, no. 7 (2024): 1272–87. http://dx.doi.org/10.24891/ea.23.7.1272.

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Subject. The article investigates the grain industry development through the cluster analysis, using the case of municipalities of the Nizhny Novgorod Oblast. Objectives. The purpose is to assess the resource potential of the grain industry development based on the factorial and correlation analysis of the main components affecting the agricultural production of cereals; to study the interaction of agricultural organizations by applying the cluster approach to placement and specialization of agricultural production. Methods. The study draws on general scientific (analysis and synthesis, formal

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