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1
Yu, Yuanyuan, Zhiqiao Ma, Hao Hu, and Yitao Wang. "Local government policies and pharmaceutical clusters in China." Journal of Science and Technology Policy Management 5, no. 1 (2014): 41–58. http://dx.doi.org/10.1108/jstpm-02-2013-0004.
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Purpose – The purpose of this paper is to study how local government policy influences the structure of Chinese pharmaceutical clusters during their industrial catch-up. Design/methodology/approach – This paper applies a case study method by targeting pharmaceutical clusters in Tonghua, Taizhou, and Tianjin. Findings – The varied structures of pharmaceutical clusters in China demonstrate local governments' efforts to utilize local resources accordingly. While the local governments in China introduce different policies to firms with different ownership in the process of constructing different cluster composition, all the local governments emphasize motivating the development of small- and middle-sized enterprises for cluster dynamics. Practical implications – The local governments should try to reach a balance between short-term foundation and long-term competitiveness for industrial cluster development. Originality/value – This paper provides the detailed analysis of local governments' influences on the formation of pharmaceutical clusters in China and helps to enrich the knowledge about how local government promotes industrial clusters to realize industrial catch-up through sectoral innovation system.
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Eren, Hande, and Emel Gelmez. "Türkiye ve AB üyesi ülkelerin e-devlet performanslarına göre kümelenmesi: SD tabanlı SAW yöntemiyle değerlendirilmesi." Business & Management Studies: An International Journal 12, no. 4 (2024): 838–54. https://doi.org/10.15295/bmij.v12i4.2440.
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With the development of technology, significant transformations have occurred in providing services to citizens by governments or states. In this process, the practical determination of the countries' e-government practices can be considered an important issue. In this context, the primary purpose of this study is to determine the e-government performances of Türkiye and the European Union (EU) countries by utilising Multi Criteria Decision Making (MCDM) methods. The study employed the E-government Development Index (EGDI) to align with its primary purpose. In this context, three criteria were used: online service index, human capital index and telecommunication infrastructure index. In order to determine the e-government performance of the countries, cluster analysis was first performed. WEKA program was used to implement the cluster analysis. As a result of the analyses, it was determined that Türkiye and 28 EU member countries were divided into 4 clusters in terms of e-government performance. The most consistent results among the applied algorithms were obtained from the EM algorithm. According to the results of the EM algorithm, the criteria averages were calculated for each cluster, and a new decision matrix was obtained with three criteria and four alternatives (clusters). The SD (Standard Deviation) method weighed the criteria for this new decision matrix. Applying the SD method, the criterion with the highest importance level was determined as the online service index. Then, the clusters were ranked among themselves with the SAW (Simple Additive Weighting) method. According to the results of the SAW method, it was determined that Cluster 1 had the best performance in terms of e-government performance; Cluster 1 was followed by Cluster 0, Cluster 3 and Cluster 2, respectively.
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Haryanto, Faisal, Agung Juliarto, and Wahyu Meiranto. "The impact of corporate social responsibility, budget surplus, and investment cash flow on capital expenditure budgeting of Indonesian city governments." Public and Municipal Finance 14, no. 2 (2025): 29–41. https://doi.org/10.21511/pmf.14(2).2025.03.
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This study aims to examine the impact of corporate social responsibility, budget surplus, and investment cash flow on capital expenditure budgeting within city government clusters in Indonesia. The population includes city governments recorded in the Ministry of Home Affairs. The samples were taken from data on corporate social responsibility and budget surplus, as well as investment cash flow for the fiscal year 2023 and capital expenditure budget for 2024 in 81 city governments in Indonesia. Empirical findings indicate that corporate social responsibility negatively affects capital expenditure budgeting across all city government clusters. The impact of budget surplus varies. On the one side, budget surplus has a positive effect on capital expenditure budgeting in Cluster A (highest) and a negative impact on capital expenditure budgeting in Cluster C (lowest). Conversely, in Cluster B (middle), budget surplus does not affect capital expenditure budgeting. Similarly, investment cash flow positively affects capital expenditure budgeting in Cluster A and negatively affects capital expenditure budgeting in Cluster C. Meanwhile, in Cluster B, investment cash flow does not affect capital expenditure budgeting.
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Evers, Hans-Dieter, and Solvay Gerke. "Knowledge Cluster Formation as a Science Policy in Malaysia: Lessons Learned." Journal of Current Southeast Asian Affairs 34, no. 1 (2015): 115–37. http://dx.doi.org/10.1177/186810341503400105.
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Regional science policy aims to create productive knowledge clusters, which are central places within an epistemic landscape of knowledge production and dissemination. These so-called K-clusters are said to have the organisational capability to drive innovations and create new industries. Many governments have used cluster formation as one of their development strategies. This paper looks at Malaysia's path towards a knowledge-based economy and offers some evidence on the current state of knowledge cluster formation in that country. If the formation of a knowledge cluster has been the government policy, what has been the result? Is there an epistemic landscape of knowledge clusters? Has the main knowledge cluster really materialised? Data collected from websites, directories, government publications and expert interviews have enabled us to construct the epistemic landscape of Peninsular Malaysia, and Penang in particular. We identify and describe several knowledge clusters with a high density of knowledge producing institutions and their knowledge workers. An analysis of the knowledge output, measured in terms of scientific publications, patents and trademarks, shows that knowledge clusters have indeed been productive – as predicted by cluster theory – although the internal working of clusters require further explanation.
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Aliyeva, Aygun. "Methodological aspects of cluster policy formation in Azerbaijan." Technium Social Sciences Journal 10 (July 18, 2020): 274–79. http://dx.doi.org/10.47577/tssj.v10i1.1249.
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Foreign experience demonstrates that countries’ strategies in cluster policy differ depending on national traditions and culture of their strategy engineering process, as well as on the cluster concept. Analysis of information sources shows that technical and methodological framework for cluster policy formulation have not been clearly and unambiguously studied in science.
 The most important methodological document on cluster policy is the European Cluster Memorandum signed by the Member States of the European Union in 2006 [3]. It defined the essence and importance of clusters in innovation development and identified the key provisions of cluster policy.
 One of the essential methodological issues is the role of government in the formation of clusters. The following factors can be associated with the state’s growing influence on clustering processes:
 
 market weakness, increase in the volume and value of public goods;
 an objective priority of public interest in the context of globalization;
 the need to protect the national economy in the international economic relations;
 the need for institutional regulations in the national and global economy.
 
 Foreign experience demonstrates that the numerous cluster initiatives running in major developed countries over the last few years have been brought forward by local or regional governments. In relatively small developed countries and in a number of developing countries, the government plays an essential role in the cluster development initiative, especially when local and regional government agencies cannot partner with the private sector. A number of decisions on clusters have been adopted at national level in countries with centralized decision-making process.
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Bi, Tai Fu, and Ping Shen. "A Comparative Study of the Equipment Manufacturing Industry Cluster Development Mode." Applied Mechanics and Materials 340 (July 2013): 111–15. http://dx.doi.org/10.4028/www.scientific.net/amm.340.111.
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The Development of equipment manufacturing industry cluster is a strategic choice for the revitalization of the old industrial bases, and the development of industrial clusters needs base on the high-quality market-oriented environment. But in the case of serious deficiencies in the market, cluster enterprises being in a weak position, limited ability of entrepreneurial behavior, the development of industrial clusters necessarily depends on the government's reform and progress, and needs government environmental innovation to create a suitable growing economic environment and social mechanisms for the rapid agglomeration of the industry. The belief that the government should create an environment and society can create wealth is an important factor of the of governmental innovation environment in the manufacturing industry cluster development environment.
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Hassan, Ibn-e., and Noraini Abu Talib. "State-led cluster development initiatives: a brief anecdote of multimedia super corridor." Journal of Management Development 34, no. 5 (2015): 524–35. http://dx.doi.org/10.1108/jmd-02-2014-0011.
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Purpose – The Malaysian Government through the interventionist stance created an enabling environment for SMEs. Deliberate efforts for economic development started in the form of Industrial Estates and Export Processing Zones since early 1990s. This paper is a brief account of government efforts and its result for cluster development, in the light of recent literature. It is found that despite consistent efforts, the Malaysian answer to Silicon Valley – Multimedia Super Corridor (MSC) – could not become an industrial cluster in a strict manner of the term used in the industrial cluster literature. This review highlights an array of bottlenecks that impede the competitiveness of MSC. The critical observation is that the SME firms in this “constructed cluster” are not enjoying the benefits of co-location externalities rather consider government’s financial support as an important factor affecting their co-location decision. In the absence of the significant qualitative research in the Malaysian cluster milieu, the purpose of this paper is the unique attempt to compile the previous results of significant work on the MSC and proposes future directions of research on policy-led clusters. Design/methodology/approach – This paper synthesized and arranged most recent literature on economic development efforts made by Malaysian Government. Furthermore, it highlights the issues faced by policy-led cluster of MSC. Findings – There is scant research on policy-led clusters like MSC where government plays an instrumental role from conception of this ICT cluster to development of programs and initiatives for the sustainability of it. However, the review of recent studies indicates that MSC faces some limitations to perform as cluster. There is a strong evidence that firms are not enjoying the benefits of clustering rather are attracted toward the financial incentives offered by the government in return of the firms co-location decision. Research limitations/implications – The theoretical contribution of the review is that it signals the scarcity of both breadth and depth of literature on policy-driven cluster. Although, few notable attempts indicated how cluster initiatives influence the clusters, yet various dimensions need to be explored in order to reach the conclusive findings. The current review provides a strong foundation for further empirical research. For example, the other possible avenues could be, cluster evaluation practices in policy-led clusters; enablers and barriers to innovation in policy-led clusters; development of comprehensive indicators for principled engagement, shared motivation and joint actions in collaborative initiative development and the relational dimension of networks like technological distance between the focal firms and local SMEs. Practical implications – The review highlights that government agencies and the firms in the policy-led clusters perceive the cluster initiatives differently. For government an initiative may be a success but for firms it may be just eyewash. This perceptual difference can disrupt the government efforts for this cluster. Firms are dependent on Multimedia Development Corporation. They consider themselves as a guest in the cluster and expect that government will provide everything. Mere presence/attendance of firms in the programs may not indicate the effectiveness of the initiative. Originality/value – The prime objective of the review was to highlight an array of bottlenecks that impede the competitiveness of MSC to become an ICT cluster. Since there is a dearth of significant qualitative research in the Malaysian cluster milieu particularly with respect to cluster initiatives taken in MSC, this review therefore is a unique attempt that compiles the previous results of significant work on a policy-driven MSC (ICT cluster) and proposes future direction of research on policy-led clusters.
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Nikièma, Emmanuel. "Government-Licensing and Consonant Cluster Simplification in Quebec French." Canadian Journal of Linguistics/Revue canadienne de linguistique 44, no. 4 (1999): 327–57. http://dx.doi.org/10.1017/s0008413100017461.
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AbstractThis article is a reanalysis of cluster simplification in Quebec French (QF) in terms of government-licensing, a condition which requires non-nuclear governing heads to be licensed by a following vowel. It is suggested, contra Côté (1997, 1998), that simplification is triggered by a structural constraint rather than a constraint on sonority. It is shown that in QF, simplification does not apply to word internal clusters such asappartementandvendredibecause the following vowel is realized, but applies to forms liketableandcasque, and converts them into [tab] and [kas] respectively at the surface level due to the lack of a final vowel. However, cluster reduction does not apply to final clusters such asbarbe, gorge, andsoldein which the first member is a liquid. To account for why simplification applies in one case and not in the other, it is suggested that the two types of final clusters differ with respect to syllabification: liquids are within branching nuclei, whereas the first member of other clusters is within a branching rhyme. The case of word-final cluster simplification attested in Haitian Creole is also examined.
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Nurahman, Nurahman, and Nurani Aisiyah Tanjung. "Clustering Village Development in West Java Province on the Condition of Developing Village Strata Using K-Means Algorithm." Jurnal Penelitian Pendidikan IPA 9, SpecialIssue (2023): 299–306. http://dx.doi.org/10.29303/jppipa.v9ispecialissue.5937.
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Villages are important units in the socio-economic structure of a country, and an in-depth understanding of the factors that influence village growth and welfare is essential. To facilitate the local government in handling the equitable distribution of village needs, it is necessary to cluster or group villages. The purpose of this research is to assist the government in clustering certain villages into several clusters, making it easier to monitor and procure village needs within the West Java Provincial government. Clustering is done using the K-Means algorithm. The application of the K-Means Algorithm by determining the Cluster value is 96. The results showed that each cluster has its own membership number. Cluster 0 consists of 8 villages, Cluster 1 consists of 12 villages, and Cluster 2 consists of 8 villages. Furthermore, in testing the performance of the K-Means algorithm by dividing into 96 clusters, the Davies Bouldin Index value is -0.996. From the results of data processing and analysis, it is necessary to provide assistance and procurement of village needs for villages with low clusters by the West Java provincial government
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BHASKARAN, E. "Financial Inclusion in the Industrial Cluster." Productivity 64, no. 1 (2023): 15–34. http://dx.doi.org/10.32381/prod.2023.64.01.2.
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The Government of India and the concerned state governments are implementing plenty of programmes and schemes for achieving the Sustainable Development Goals (SDGs) on entrepreneurship. Out of the 17 SDGs, goal 8 relates to Decent Work and Economic Growth including Financial Inclusion and goal 9 relates to Industry, Innovation, and Infrastructure. The objective of this paper is to study the business analytics of financial inclusion in industrial clusters in Tamil Nadu and their relevance to sustainable development goals. Several analyses such as diagnostic analysis, descriptive analysis, inferential analysis, predictive analysis, prescriptive analysis, and decision analytics were performed. The methodology adopted by the researcher is to develop a model by collecting primary data, such as, input variables like grants from the Government of India, grants from the state government of Tamil Nadu, special purpose vehicle (SPV) / entrepreneur contribution, and bank loans and output variables like project cost, from various departments and corporations of the Government of Tamil Nadu and secondary data from other government websites. The data was analyzed through percentage analysis, descriptive analysis, correlation analysis, regression analysis, and structural equation modelling. Financial inclusion in industrial clusters is the need of the hour, which is already underway, in the form of grants from the Government of India and Tamil Nadu, Cluster Development Programmes, SPV contribution and bank loans to improve productivity and reduce costs, and common facility centres in clusters.
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Alexandrova, Anna, and Yury Vladimirov. "Tourism clusters in Russia: What are their key features? The case of Vologda region." Worldwide Hospitality and Tourism Themes 8, no. 3 (2016): 346–58. http://dx.doi.org/10.1108/whatt-02-2016-0007.
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Purpose This paper aims to review tourism cluster initiatives in Russia, particularly, tourism cluster formation processes, and investigate the role of local and federal government in promoting domestic tourism destinations with the help of tourism clusters. Design/methodology/approach This paper is formulated using a case study approach based on the lessons learned and the common practices in the Vologda region of the Russian Federation. Some results and key findings from field research were also used in the paper, as well as analysis of local and federal government activities, in attempting to promote domestic tourism in Russia. Findings Based on the analyses of the case study and review of common practices of tourism cluster creation and management, the paper draws on a review of the Vologda tourism cluster and profiles its main characteristic features: The context of “cluster” in Russian economy; Vologda tourism cluster was created by state initiative; Vologda tourism cluster indeed has its unique set of local (natural) competitive advantages; The rights of private companies (cluster members) are only consultative; Considerable funds are allocated by the Russian Federal Government and local government to cluster development; Vologda cluster is in an initial stage of formation, by the number and composition of members, Vologda cluster could be defined as a small cluster; There are no established cluster-specific quality of service standards; There is no defined cluster core in Vologda cluster; Cluster efficiency is measured by a set of metrics (gain in number of tourists, hotel rooms, etc.); Among the factors limiting Vologda cluster development, disunity on the federal and local government levels is substantial. Research limitations/implications This paper is currently limited in scope to the Vologda region case study and some results and key findings from field research selected by the researchers. The conditions for the selected case studies may not be identical in other Russian tourism clusters and locations (such as the Altay region cluster), and thus, the findings cannot be applied to other Russian tourism clusters without comparison studies. Originality/value The main output of this paper is a review of Russian tourism cluster formation and development based on the example of the Vologda region. It is of value to practitioners, researchers, policymakers and other stakeholders specializing in cluster research and tourism cluster development.
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Rakhmawati, Nur Aini, Achmad Thoriq, Deanda Bevani, Luh Putu Gayatri, and Alex Sidum Laka Kaki. "Klasterisasi Peraturan Daerah di Seluruh Wilayah Jawa dengan Menggunakan Algoritma K-means." Jurnal Sisfokom (Sistem Informasi dan Komputer) 9, no. 2 (2020): 242. http://dx.doi.org/10.32736/sisfokom.v9i2.816.
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The Local Indonesian government generates various legal products. This study aims to cluster the titles of regional regulations in Java. The data are collected from law repositories of all provincial governments in Java. The repository is called as JDIH. The analytical method used is clustering with the K-means algorithm. We divide 1849 regulations into ten clusters. 890 data are in the cluster related to motor vehicle tax, public health and safety.
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Пастухов, Владимир, and Vladimir Pastuhov. "Technopark of High Technologies as a Coordinator of the Cluster Economy Development of Khanty-Mansiisk Autonomous District." Scientific Research and Development. Economics of the Firm 8, no. 4 (2019): 45–46. http://dx.doi.org/10.12737/2306-627x-2019-43-47.
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The author considers the basics of clustering a foreign economy, the priorities of the cluster policy of the Russian Federation. The activity of the Center for Cluster Development “Technopark of High Technologies” as a coordinating center for the development of a cluster economy of Khanty-Mansiisk Autonomous District is analyzed. The Center adheres to the unshakable foundations of cluster policy, based on the organization of interaction between government bodies and local self-government, business structures and scientific and educational institutions in order to increase the innovativeness of production and the service sector of the district clusters. The role of the Center for Cluster Development in interacting with other district clusters and partners is estimated. The author believes that mutual cooperation will help to find optimal ways for the further effective development of clusters of Khanty-Mansiisk Autonomous District in the long term. The introduction of innovative technologies in the district clusters (oil and gas and oil and gas processing clusters, forestry and mining, medical, tourist and recreational clusters, the Technics and Technologies for the North cluster, and the scientific and innovative cluster) will ensure a synergistic effect of the economic activity of a wide range of regional territorial enterprises.
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Ruomu, Li, Vincent Yip, and Paweł Dobrzański. "Clusters – Typology and Public Policy." Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu 67, no. 3 (2023): 38–51. http://dx.doi.org/10.15611/pn.2023.3.05.
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Clusters, especially high-tech, are important economic phenomena in modern society. As the archetype, Silicon Valley drives governments over the world to initiate their own cluster. Likewise, the cluster policy has also become a major policy tool in the urban planning field. Based on approaches to initiate and promote clusters, the current cluster policy can be divided into three models, the American model, the Asian model, and the European one. This paper focuses on the sustainability of clusters, reviews the literature about high-tech clusters, cluster policy, and the developments of selected clusters, including Silicon Valley, Silicon Fen, Hsinchu Science Park, Singapore Science Park and One-North, and Akademgorodok; discusses their developments and challenges, and aims to explore the role of government and possible approaches. Based on the data analysis, the research concluded that governments are essential to a cluster’s sustainability. The approach of mixing bottom-up and top-down intervention might be the final direction for all countries, and the only difference lies in timing, which varies with local resources, social environments, and especially culture. For governments, its role should be identifying the right timing to implement the adaption in policy, coordinate, and lead the battle for sustainability in practice.
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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, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is applied. Due to the results, the 81 cities are divided into six clusters in terms of agricultural production features. The cluster with the highest performance is Cluster 6, in which Konya is alone. Cluster 4, which includes Antalya and Mersin, follows this cluster. Cluster 1 with 25 cities and Cluster 2 with 19 cities are the clusters with the lowest results. The results show that only a few cities such as Konya, Antalya, and Mersin are generating more than tens of them in combination. These findings reveal that local governments should reconsider their agricultural programs and develop new strategies under the direction of the central government.
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Fania, Fira, Mustika Azzahra, and Agus Perdana Windarto. "Analisis Metode Clustering Pada Wilayah Berdasarkan Jenis Pencemaran Lingkungan Hidup." KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) 1, no. 1 (2020): 1–7. http://dx.doi.org/10.30645/kesatria.v1i1.10.
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This study uses a grouping model in determining areas based on the type of environmental pollution. This study is a special reference from the government in improving environmental sustainability. The data from this study was taken from the website of the government statistical data provider, BPS (Statistics Indonesia) www.bps.go.id. This research uses the K-Mens method and releases it with RapidMiner software to create 2 clusters, high and low level clusters and see what the contents of the cluster are. From the research results obtained by high cluster centroid data that is ((1527), (810.4), (5865), (6655.3), (323), (315.1)) low cluster namely ((139.25) , (122.5), (508,833), (919,222), (64,417), (94,444)). With this analysis, it is expected to be able to load and information for the government to pay more attention to regions whose income is still below average.
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Peck, Frank, and David McGuinness. "Regional Development Agencies and Cluster Strategies: Engaging the Knowledge-base in the North of England." Local Economy: The Journal of the Local Economy Policy Unit 18, no. 1 (2003): 49–62. http://dx.doi.org/10.1080/0269094032000073825.
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The Government's White Paper on Enterprise, Skills and Innovation (DTI and DfEE, 2001) requires Regional Development Agencies to develop their cluster strategies further, to include partnerships involving higher education. This paper examines these policy intentions in relation to northern England, and incorporates the results of in-depth interviews with policy-makers from RDAs, DTI, DfES and northern Government Offices. Early cluster development has evidently been influenced by existing sector development strategies and the need for inclusivity in regional partnerships. Clusters have been defined broadly, but engagement with universities has required greater focus on specific regional expertise. The authors question the merit of pursuing specialised clusters in isolation at a regional scale; more effective engagement at inter-regional level is suggested for developing effective cluster strategies.
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Pratama, Arie, Nunuy Nur Afiah, and Adhi Alfian. "How good is the government? Analysis of west java’s local government disclosure through an integrated reporting framework." Humanities and Social Sciences Letters 11, no. 2 (2023): 179–202. http://dx.doi.org/10.18488/73.v11i2.3350.
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The present study aims to determine the level and quality of comprehensive performance disclosure of the West Java government of Indonesia using an integrated reporting framework. The study analyzes the disclosure of government performance information based on the Notes to the Financial Statements of 27 districts/city governments and one provincial government in the West Java region from 2016–2020. The data was obtained by conducting a content analysis of the government's financial statements using the integrated reporting quality disclosure matrix. Data were analyzed using descriptive statistics, non-parametric tests, and a cluster analysis. The results indicate that: (1) the quality of disclosure in government financial statements according to the integrated reporting framework is still low, with an average score of 35.19%; (2) there is no difference in the scores of disclosure items between district and city governments, but there is an increase in disclosure per year for two elements and total disclosure; and (3) the cluster formed indicates that 22 of 28 district and city governments need to improve the quality of their disclosures. In general, the disclosure quality of the West Java government’s financial statements is still at a low level. The results indicate the need to improve the quality of financial reporting by the government and the use of integrated reporting as a frame of reference.
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Hadi Al Ghozali, Isnen, Ibnu Afan, and Triardani Lestari. "Comparative Analysis Clustering Algorithm for Government’s Budget Performance Data." CogITo Smart Journal 10, no. 1 (2024): 578–91. http://dx.doi.org/10.31154/cogito.v10i1.611.578-591.
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The government's budget performance is a benchmark for the government's success in optimizing people's money to achieve national goals. Even though performance measurement has reached the Work Unit level, the data formed still do not have a specific grouping, in the sense of unstructured data. The purpose of this research is to find the best clustering algorithm for classifying budget performance data. The data used is budget performance data for 19,460 Indonesian Government Work Units. The data is sourced from the SMART application and the OM SPAN application. This research uses a comparative study approach for the K-Means algorithm, DBSCAN, and agglomerative hierarchical clustering (AHC). Evaluation of the clustering results formed using the Davies-Bouldin Index (DBI) method. The AHC algorithm with k = 6 achieved the lowest DBI value of 0.3583472. The DBI value for the DBSCAN algorithm with MinPts = 10 is 0.5398259. However, the AHC algorithm is not good in terms of ease of implementation. Therefore, the K-means algorithm with parameters k = 10 is the best alternative. The K-Means algorithm gets a DBI value of 1.052678. The K-Means algorithm produces 10 clusters. Based on knowledge extraction, it is determined that cluster 2 and cluster 5 are ideal clusters in terms of budget performance. While the clusters that require attention are cluster 1, cluster 3, cluster 4, and cluster 8.
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KYRIAZIS, Vasileios, and Theodore METAXAS. "Using Markunsen’s Typology as a Starting Point to Examine the Case of the Center for Defense Space and Security Cluster: The State-Anchor Type of Cluster." Theoretical and Practical Research in Economic Fields 14, no. 2 (2023): 378. http://dx.doi.org/10.14505/tpref.v14.2(28).17.
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Defense is a strategic sector that is closely tied to national security and sovereignty. As such, governments tend to have a strong interest in supporting and developing the defense industry in their countries. This paper aims to investigate and identify to which of the four types of industrial clusters described by Markusen, the Danish Defence Space and Security (CenSec) cluster belongs to. Our initial argument is that CenSec has the characteristics of a state-anchor cluster, because in the defense cluster, the role of government is typically decisive due to the nature of the industry. The analysis will also explore the implications of the type of cluster for policymakers and industry stakeholders in terms of promoting innovation, competitiveness, and economic growth in a broader correlation with the European business and institutional ecosystem.
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Suyanto, Wiwik Budiarti, Rahmawati Erma Standsyah, and Dendy Syahru Ramadhan. "Efforts to Alleviate Underdeveloped Areas by Clustering Regional Characteristics in Indonesia." Jurnal Ekonomi dan Bisnis Digital 2, no. 4 (2024): 1365–72. http://dx.doi.org/10.55927/ministal.v2i4.5531.
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This study aims to cluster the underdeveloped regions in Indonesia according to the criteria of the underdeveloped indicator to mitigate the underdeveloped regions in Indonesia. This research was conducted to help the various efforts made by the government to deal with the underdeveloped regions, by grouping the underdeveloped regions, it is hoped that the government can focus on increasing the dominant criteria in the regions according to the cluster. The grouping method used is K-means with the results of 62 underdeveloped districts in Indonesia divided into 3 clusters. The first cluster includes 23 districts grouped based on human resource criteria, the second cluster consists of 28 districts based on infrastructure/facilities criteria, and the third cluster consists of 11 districts based on economics criteria.
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Hoetoro, Arif, Deni Aditya Susanto, and . "The Improvement of Inter-Firm Linkages Within Dormant Mse Cluster: a Case of East Java." International Journal of Engineering & Technology 7, no. 3.30 (2018): 549. http://dx.doi.org/10.14419/ijet.v7i3.30.18429.
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The stagnant development of MSE clusters might be a priority concern of the government. It has been expected that such clusters need proper policies and regulations to well develop. In East Java, for instance, policies to improve inter-firm linkages within MSE cluster has been perceived as a vital effort to activate the dormant cluster. An effective inter-firm linkages will support the clustered MSEs to overcome their isolation problems so as to augment their productive capacity and enlarge output distribution. By taking the cluster of “Wisata Panci” in Pasuruan, East Java” as research object, this research revealed that inter-firm linkages are very beneficial for the advance development of the cluster. After suffering from financial crisis in 1998, the cluster succeeded to grow and develop to be active cluster.Methodologically, this research examined factors strengthening inter-firm linkages within the cluster by employing Analytical Hierarchy Process (AHP). In doing so, local government and cluster entrepreneurs were deeply interviewed to formulate policy choices related the strategies of inter-firm linkage improvement.The results of this research revealed that entrepreneurs within the cluster give more stressing on forward linkage improvement. Accordingly, horizontal linkage was ranked in second place. And finally, backward linkage was ranked in third place. This study concluded that both local government and entrepreneurs have same perception to more develop the cluster to be active MSEs cluster. It seems that forward linkage, especially consumptiom linkage, plays a vital role for this purpose as clustered MSEs commonly need an effective market channel to distribute their outputs widely. However, backward and horizontal linkages are also important as the linkages support further contribution to forward linkage and spur local business
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Nurfatra, Junaidi, and Iman Setiawan. "Grouping of Provinces in Indonesia Based on Infrastructure Development Indicators Using the Ward Method with a Multiscale Bootstrap Approach." Tadulako Science and Technology Journal 4, no. 1 (2023): 35–40. http://dx.doi.org/10.22487/sciencetech.v4i1.16393.
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Infrastructure plays an important role in improving the quality of life and human welfare. Infrastructure is a facility that is needed by every country, including Indonesia, to support various community activities in general in everyday life. However, the problem of inequality in infrastructure development in Indonesia is still a challenge for the government. This study aims to classify provinces in Indonesia based on indicators of infrastructure development. The method used in this grouping is the ward method with the multiscale bootstrap approach to determine the validity of the formed cluster. The results of the grouping show that we obtained 7 clusters where clusters with poor infrastructure development status are cluster 7, clusters with fairly good infrastructure development status, are cluster 6, clusters with good infrastructure development status, are cluster 1, cluster 2, cluster 3 and cluster 4, while cluster with a very good infrastructure development status, are cluster 5. From the 7 clusters formed, we obtained 4 clusters with an approximately unbiased (AU) value greater than and equal to 95, defined as valid clusters and 3 clusters with an AU value of less than and equal to 95, defined as invalid clusters
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Ramadani, Riska, and Admi Salma. "PERBANDINGAN KINERJA METODE AVERAGE LINKAGE DAN WARD DALAM PENGELOMPOKAN TINGKAT KESEJAHTERAAN MASYARAKAT PROVINSI SUMATERA BARAT MENURUT KABUPATEN/KOTA TAHUN 2021." Journal of Mathematics UNP 7, no. 3 (2022): 11. http://dx.doi.org/10.24036/unpjomath.v7i3.12565.
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Welfare in West Sumatra Province is still an important problem that is being faced by the government and also the whole community in 2021. The government is still trying to improve performance the welfare of the community from all aspects. It is necessary to grouping the level of community welfare in the Province of West Sumatra by Regency/City using the average linkage and ward methods. The results of the cluster analysis obtained by both methods show that the clusters formed are the same. Consists of 3 clusters, namely cluster 1 with a low level of welfare, cluster 2 with a medium level of welfare and cluster 3 with a high level of welfare. Of the two methods, the average linkage method is better in grouping the levels of welfare based on validity because it has a large Dunn Index value and a small Connectivity value compared to the ward method.
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Almazar, Nufaisa, and Mesra Betty Yel. "Application of the K-Medoids Algorithm in Clustering PAM Customers Based on Provinces in Indonesia." International Journal Software Engineering and Computer Science (IJSECS) 4, no. 1 (2024): 210–24. http://dx.doi.org/10.35870/ijsecs.v4i1.2229.
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Clean water is a basic need that is very important for human life. In Indonesia, many clean water companies supply water for community needs. Indonesia's government-owned clean water company has many customers spread across various provinces. This research aims to apply the k-medoids algorithm in clustering PAM customers based on provinces in Indonesia to determine which provinces are included in the low, medium, and high-level clusters of PAM customers. The data used in this research is on the number of PAM customers, the amount of water distributed, and the value of the water distributed from 1998 to 2021 to 34 provinces in Indonesia. This research obtained 3 clusters, namely low, medium, and high-level clusters determined by the number of PAM customers, the amount of water distributed, and the value of the water distributed in each province. Cluster 1 (C1) is a low-level cluster that obtained results from 19 provinces, Cluster 2 (C2) is a medium-level cluster that obtained results from 11 provinces, and Cluster 3 (C3) is a high-level cluster that obtained results from 4 provinces. And get a k-medoids cluster validation value of 0.014846718. In this way, it is hoped that the government can identify areas in each province that require improvement or improvement in making appropriate decisions regarding clean water resources to provide better services to customers
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Navickas, Valentinas, and Asta Malakauskaitė. "New Leverage over Macroeconomic Policy: the Phenomenon of Clusters." Business: Theory and Practice 9, no. (4) (2008): 245–52. https://doi.org/10.3846/1648-0627.2008.9.245-252.
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The impact of government on macroeconomic processes is pretty relevant. It manifests itself through various functions of governance and administration. The main mission of governing bodies is to assure both – economic and political stability. Government is also responsible for improving the microeconomic capabilities of companies by assuring efficient allocation of resources and stimulating productivity. The modern economic policy is based on the concept of clusters. The aim of the study is to analyze the importance of clusters in the context of macroeconomic policy. When a government implements a cluster-based economic policy, it actively participates in the process of creating and improving strategic relations inside and outside the cluster. That kind of policy is more efficient than any economic policy aimed at individual companies, as it enables a government to influence a great number of companies without distorting market-based competitive environment.
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Siswara, Deri, Dessy Rotua Natalina Siahaan, Anwar Fitrianto, Bagus Sartono, and Sachnaz Desta Oktarina. "Regional Tourism Development in Nusa Tenggara Barat: Maximizing Local Economic Development." EcceS (Economics, Social, and Development Studies) 9, no. 2 (2022): 107–27. http://dx.doi.org/10.24252/ecc.v9i2.32194.
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The diversity of each region causes different potentials in each region. The potential of the village can map how rich the area is, the advantages of the area, and the population and welfare. Tourism is one of them; this sector is potential for the area because it can lift its economy if it is adequately managed. Good management is born from the policies/regulations of the local government. Nusa Tenggara Barat is a province with many tourist attractions. However, from an economic and socio-cultural perspective, Nusa Tenggara Barat has yet to be able to compete with other major provinces in Indonesia, such as the Special Region of Yogyakarta (DIY). The 2018 Village Potential Data by BPS can assist the government in compiling efforts for the village's progress. In the process of data processing, especially big data, in-depth exploration is needed to produce meaningful insight. Clustering is one of the exploration techniques that can map areas in Nusa Tenggara Barat based on the tourism potential in each village. K-Prototypes are used in cases with mixed variables (numeric and categorical). Determination of the best number of clusters is using the silhouette index. It produced 5 clusters with their respective diversity. There are five clusters in Nusa Tenggara Barat by the villages based on tourism aspects and factors that support tourism. Cluster 3 is an ideal cluster, meaning tourism development in that cluster is complete. Cluster 5 has considerable potential in tourism because the supporting factors are analytically good. There are villages dispersed across Sumbawa Barat, Sumbawa, Lombok Tengah, Lombok Barat, Dompu, and Bima that are part of cluster 1. In Sumbawa Barat and Lombok Tengah, cluster 1 predominates numbers. The settlements in cluster 2 are then more prevalent in Sumbawa and Bima. Furthermore, Sumbawa, Dompu, and Bima have the highest concentrations of cluster 4. Unlike clusters 3 and 5, special attention should be paid to clusters 1, 2, and 4 in tourism development. Implications of this research are the government could take toward each cluster to increase the GDP-oriented service product, namely tourism; whether it is an improvement or reconstruction, clustering analysis works its role in learning the data to make the policy more focused.
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Boda, Ramesh. "Shyam Prasad Mukherji Rurban Mission as an Initiative of Indian Government for Rural Areas Devolopment Through Rurbanization." International Journal of Trend in Scientific Research and Development 2, no. 3 (2019): 1945–47. https://doi.org/10.31142/ijtsrd11121.
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Shyam Prasad Mukherji Rurban Mission scheme was launched by Honble Prime Minister on 21st February, 2016. The Rurban mission has been launched by the Rural Development Ministry which aims to create a cluster of villages and provide urban amenities to the people living within that cluster. Thus, the objective is to create a big village with an urban feel. This will help in improving the quality of life of people in the rural areas and help to reduce the urban rural divide which will ultimately reduce the rural to urban migration. The clusters should include villages with a population of 25000 50000 in plain areas and 5000 15000 in tribal, hilly and desert areas. These clusters are to be identified by the State Government. The funding of the project will be through various schemes of the Government. The scheme will be implemented through the Public Private Partnership PPP model. The Invitation for Expression of Interest from Private Entities to Partner in the Development of Rurban Clusters. Aimed at developing such rural areas by provisioning of economic, social and physical infrastructure facilities. Large parts of rural areas in the country are not stand alone settlements but part of a cluster of settlements, which are relatively proximate to each other. These clusters typically illustrate potential for growth, have economic drivers and derive locational and competitive advantages. Hence, making a case for concerted policy directives for such clusters. These clusters once developed can then be classified as Rurban. The vision of Development of a cluster of villages that preserve and nurture the essence of rural community life with focus on equity and inclusiveness without compromising with the facilities perceived to be essentially urban in nature, thus creating a cluster of Rurban Villages . Boda Ramesh "Shyam Prasad Mukherji Rurban Mission as an Initiative of Indian Government for Rural Areas Devolopment Through Rurbanization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11121.pdf
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Xuanguo, XU, and YU Chang. "Analysis of enterprise relationships in food industry cluster based on niche theory." International Journal of Environmental & Agriculture Research 4, no. 5 (2018): 12–20. https://doi.org/10.5281/zenodo.1256494.
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<strong><em>Abstract</em></strong><strong>—</strong> <em>In recent years, the Chinese government and local governments </em><em>in China </em><em>at all levels actively promote the construction of food industry cluster Demonstration Park. Many problems accompanied with the continuous development of industrial clusters, such as the proliferation of homogeneous enterprises and products, the lack of organic links and symbiosis relationship among enterprises, resource depletion and environmental degradation, triggering niche overlap and vicious competition. All these phenomenon leads to industry cluster an acute shortage power of competitive and innovation. In this paper, we take the livestock and poultry industry cluster as the research object, use niche theory to analyze enterprise niche inclusion, overlap and separation relationships. As well as through the neutral theory in the equilibrium state to explain the cluster of enterprises in the competition, cooperation and symbiotic relationship.</em>
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Fu, Liping, Fan Wu, and Shan Zhang. "Evolutionary Path and Innovative Development of Pharmaceutical Industrial Cluster—A Case Study of Shijiazhuang, China." International Journal of Environmental Research and Public Health 19, no. 5 (2022): 2928. http://dx.doi.org/10.3390/ijerph19052928.
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The innovation and development practices of the pharmaceutical industry are of great importance for the continual enhancement of public health. Industrial clusters are one of the important means by which the pharmaceutical industry can be transformed and developed, but there is a lack of research on the evolutionary path and development innovation of pharmaceutical industrial clusters. As a country with a major pharmaceutical industry, the transformation and development path of traditional pharmaceutical industrial clusters in China has important reference value for the sustainable development of the global pharmaceutical industry. Through an analysis of the evolution of traditional pharmaceutical industrial clusters in Shijiazhuang, this study explores the law of the dynamic evolution of pharmaceutical industrial clusters and the associated mechanisms. Specifically, we conclude that the evolutionary path of traditional pharmaceutical industrial clusters can be divided into the government-led pharmaceutical industrial cluster start-up stage, the government-guided pharmaceutical industrial cluster development stage, and the government-served pharmaceutical industrial cluster transformation stage. The operating mechanisms include a self-organization mechanism, an innovation-driven mechanism, and an outward associated mechanism, each of which plays different roles in the different stages of the dynamic evolution of the cluster, and the synergistic operation of the three mechanisms forms an important basis for the evolution of pharmaceutical industrial clusters. We found that the innovation development of traditional pharmaceutical industrial clusters is influenced by the synergy of the self-organization, innovation-driven, and outward associated mechanisms. The self-organization mechanism is a necessary condition for pharmaceutical industrial clusters to realize the transition from disorder to order. The innovation-driven mechanism is the core driving force for the innovative development of pharmaceutical industrial clusters. Finally, the outward associated mechanism is the main means by which pharmaceutical industrial clusters integrate into the global value chain.
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Liping, Zhang, and Yang Huiya. "Research on Innovation Performance of VR and Tobacco Industrial Cluster Based on Structural Equation Model." Tobacco Regulatory Science 7, no. 6 (2021): 5755–69. http://dx.doi.org/10.18001/trs.7.6.58.
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As a traditional industry, the tobacco industry is an important part of the national economy and has an important position in meeting social consumption demand and increasing national and local fiscal revenue. And VR industry, as an emerging industrial economy, can effectively empower the development of tobacco industry. To further promote the development of VR and tobacco industry clusters and optimize the industrial structure, this paper constructs a conceptual model of the factors influencing the innovation performance of VR and tobacco industry clusters from a social network perspective based on the triple helix theory. Structural equation method and data of relevant companies of VR and tobacco industry in Nanchang is used to study the influencing factors of their innovation performance, and further examines the influence mechanism of R&D investment, government behavior and cluster atmosphere on innovation performance of these two industrial clusters. The results show that R&D investment, government behavior and cluster atmosphere have positive effects on innovation performance of Nanchang VR and tobacco industry cluster. The conclusions of this paper enrich the influencing factors of cluster innovation performance and expand the scope of innovation performance theory in the context of VR and tobacco industrial cluster.
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Zemtsov, Stepan P., Pavel N. Pavlov, and Alla V. Sorokina. "Specifics of cluster policy in Russia." Equilibrium 11, no. 3 (2016): 499. http://dx.doi.org/10.12775/equil.2016.023.
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The article presents the results of management quality survey in Russian clusters that reveals specifics of cluster support policy in Russia. We compare 22 Russian clusters, supported by the Government, using series of indicators measuring cooperation intensity of cluster participants and activity of cluster management teams. We introduce a description of the typical Russian innovative territorial cluster, based on the average values of the indicators. Our analysis revealed that international communications, information about funding and training courses are highly useful tools to improve collaborations among cluster participants. This paper proposes a methodology for measuring cluster performance by the cluster scale index, cluster development index and cluster management efficiency index. In conclusion, we formulate recommendations for cluster policy improvement in Russia, based on our analysis of indicators’ correlations and comparison between the results of our research and the similar researches in other countries. This analysis will be useful for researchers and policymakers from countries, where cluster policy has recently become a popular topic.
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Kurniasari, Ratna, Rukun Santoso, and Alan Prahutama. "ANALISIS KECENDERUNGAN LAPORAN MASYARAKAT PADA “LAPORGUB..!” PROVINSI JAWA TENGAH MENGGUNAKAN TEXT MINING DENGAN FUZZY C-MEANS CLUSTERING." Jurnal Gaussian 10, no. 4 (2021): 544–53. http://dx.doi.org/10.14710/j.gauss.v10i4.33101.
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Effective communication between the government and society is essential to achieve good governance. The government makes an effort to provide a means of public complaints through an online aspiration and complaint service called “LaporGub..!”. To group incoming reports easier, the topic of the report is searched by using clustering. Text Mining is used to convert text data into numeric data so that it can be processed further. Clustering is classified as soft clustering (fuzzy) and hard clustering. Hard clustering will divide data into clusters strictly without any overlapping membership with other clusters. Soft clustering can enter data into several clusters with a certain degree of membership value. Different membership values make fuzzy grouping have more natural results than hard clustering because objects at the boundary between several classes are not forced to fully fit into one class but each object is assigned a degree of membership. Fuzzy c-means has an advantage in terms of having a more precise placement of the cluster center compared to other cluster methods, by improving the cluster center repeatedly. The formation of the best number of clusters is seen based on the maximum silhouette coefficient. Wordcloud is used to determine the dominant topic in each cluster. Word cloud is a form of text data visualization. The results show that the maximum silhouette coefficient value for fuzzy c-means clustering is shown by the three clusters. The first cluster produces a word cloud regarding road conditions as many as 449 reports, the second cluster produces a word cloud regarding covid assistance as many as 964 reports, and the third cluster produces a word cloud regarding farmers fertilizers as many as 176 reports. The topic of the report regarding covid assistance is the cluster with the most number of members.
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Musa, Marsuddin, and Sefri Imanuel Fallo. "HIERARCHICAL CLUSTER ANALYSIS ON PEOPLE'S WELFARE IN SOUTHEAST SULAWESI PROVINCE." BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, no. 2 (2023): 1163–72. http://dx.doi.org/10.30598/barekengvol17iss2pp1163-1172.
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Problems with people's welfare typically result from the government's development efforts in a region not being done properly or not being done equally. Consider grouping and defining the traits of each region's degree of welfare as a potential answer to ensure that development policies and strategies are well-targeted. This study aims to classify 17 regency/cities in Southeast Sulawesi province based on several indicators of people's welfare. The method used is hierarchical cluster analysis with several approaches, including Single Linkage, Complete Linkage, Average Linkage, and Ward's. The data used in this study is secondary data obtained from the publication of the Central Agency of Statistics (CAS) of Southeast Sulawesi Province. Based on the results of the evaluation the best method used is Ward's method which produces three clusters. The first cluster consists of 9 regencies, namely Buton, North Buton, South Buton, Central Buton, Muna, West Muna, Wakatobi, Konawe Islands, and East Kolaka, the majority of which come from the archipelago. Some of the problems that occur in these areas are the relatively high poverty rate and the low average length of schooling and life expectancy. The same thing happened to the second cluster which consisted of 6 regencies, namely Konawe, South Konawe, North Konawe, Bombana, Kolaka, and North Kolaka with problems of poverty, the average length of schooling, and relatively low sources of proper drinking water when compared to other clusters. The third cluster consists of 2 urban areas, namely Kendari City and Baubau City, the problems that occur are the relatively high unemployment rate and population density. The government ought to offer more initiatives to handle issues with poverty, education, and health in regions in clusters 1 and 2. While in cluster 3, the government ought to offer more initiatives to combat jobless issues and prepare for rising population densities.
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Hermanto, Hermanto, and Y. Titik Haryati. "Analysis of Developing Batik Industry Cluster in Bakaran Village Central Java Province." Economics Development Analysis Journal 5, no. 3 (2018): 250–61. http://dx.doi.org/10.15294/edaj.v5i3.22147.
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SMEs grow in a cluster in a certain geographical area. The entrepreneurs grow and thrive through the business cluster. Central Java Province has a lot of business clusters in improving the regional economy, one of which is batik industry cluster. Pati Regency is one of regencies / city in Central Java that has the lowest turnover. Batik industy cluster in Pati develops quite well, which can be seen from the increasing number of batik industry incorporated in the cluster. This research examines the strategy of developing the batik industry cluster in Pati Regency. The purpose of this research is to determine the proper strategy for developing the batik industry clusters in Pati. The method of research is quantitative. The analysis tool of this research is the Strengths, Weakness, Opportunity, Threats (SWOT) analysis. The result of SWOT analysis in this research shows that the proper strategy for developing the batik industry cluster in Pati is optimizing the management of batik business cluster in Bakaran Village; the local government provides information of the facility of business capital loans; the utilization of labors from Bakaran Village while improving the quality of labors by training, and marketing the Bakaran batik to the broader markets while maintaining the quality of batik. Advice that can be given from this research is that the parties who have a role in batik industry cluster development in Bakaran Village, Pati Regency, such as the Local Government.
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Mindlin, Yuriy B. "THE PROBLEMS OF IMPLEMENTING CLUSTER POLICY IN THE INDUSTRIAL SECTOR OF THE RUSSIAN ECONOMY." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 3/6, no. 144 (2024): 34–39. http://dx.doi.org/10.36871/ek.up.p.r.2024.03.06.004.
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The study is devoted to the problems of implementing cluster policy at Russian industrial enterprises in modern unstable conditions. In particular, such problems of cluster policy implementation as the problem of insufficient financing of industrial clusters, difficulties in attracting private capital, limited deadlines set for reporting industrial cluster participants on the use of public funds for financing; the problem of imperfection of the regulatory framework for regulating cluster policy in industry are considered in detail; problems of infrastructure development of industrial clusters. Within the industrial clusters themselves, problems such as the lack of qualified personnel for cluster development, as well as the uneven distribution of benefits among cluster participants, generating distrust between them, were noted. All the identified problems often contribute to the collapse of the cluster in the short term. The article also presents possible solutions to these problems. For the successful implementation of cluster policy, an integrated approach is needed, involving the improvement of legislation, stimulating investment in clusters, infrastructure development and training of qualified personnel, which will maximize the potential of the cluster model of economic development. Taking into account the proposed recommendations can significantly reduce the risks associated with government financing of industrial clusters and partnerships within the cluster, and ensure their sustainable development.
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Fania, Fira, Agus Perdana Windarto, and Dedy Hartama. "Penerapan K-Means Clustering Dalam Menentukan Banyaknya Desa/Kelurahan Menurut Keberadaan dan Jenis Industri Kecil dan Mikro (Desa)." Bulletin of Information System Research 1, no. 1 (2022): 1–7. https://doi.org/10.62866/bios.v1i1.24.
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Processing Industry is an economic activity that carries out activities to change a basic item mechanically, chemically, or by hand so that it becomes finished / semi-finished goods, and or goods of less value to goods of higher value, and which are closer to the end user. This study aims to model the grouping in determining the Number of Villages / Villages According to the Existence and Types of Small and Micro Industries (Villages). This research is a reference, especially for the government, so that the potential for employment in this industry group can continue to be developed and optimized. Government contributions can be realized through the creation of stable social, economic and political conditions and through the policy of determining the direction of business development of Micro and Small Industries. The data from this study were taken from a government statistical data provider website, BPS (Statistics Indonesia) www.bps.go .id. This research uses the K-Mens method and is tested with RapidMiner software to create 3 clusters, namely high, medium and low level clusters and see what the contents of the cluster are. From the research results obtained by high cluster data centroids namely ((2151.79), ( 1494.34), (1135.76), moderate clusters ((406.64), (525.06), (616,218), and low clusters ((455,361), (345,523), (1074.09), (176,434), (1410,34), (243,749), (295,151), (463,266), (5868,13), (9344.07), (170,925), (8818,85), (1031,65), (433,61), (5985,505), (1630,75), (367,928), (119,082), (560,907), (172,333), (545,342), (226,174), (776,643), (1880,857), (172,333), (545,342), (226,174), (776,643), (1880,853), (1880,853), (18,80,853), (1880,853), (1880,853), (1880,853), (1880,853), (1880,853) ), (1482.39), (115,573), (232,734), (187.04), (142,884), (455,674), (441,934) With this analysis expected to be input and information for the government of each region to pay more attention to regions micro / small industrial areas occupying low clushter (C1) positions in order to improve industrial quality in the region.
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Wardag, Muhammad Akram, Shahida Sajjad, and Sadia Siddiqui. "Perception of Teachers Regarding School Cluster System: A Study in Female High Schools of Zarghoon Town, Quetta." International Journal of Social Science & Entrepreneurship 3, no. 2 (2023): 456–76. http://dx.doi.org/10.58661/ijsse.v3i2.162.
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The current study was designed to identify the perception of female teachers regarding the school cluster system in Government Girls High Schools of Zarghoon Town, Quetta. The objectives of the study were to explore the perception of female teachers about the understanding of the school cluster system, about the support of the school cluster system for female teachers and to find out as if the school cluster system ensures financial stability in Government Girls High School, of Zarghoon town in Quetta city of Pakistan. A total number of 107 female teachers were selected through purposive sampling from 07 female government High schools in one tehsil of Quetta i.e. Zarghoon town. The study was descriptive in nature and the data was collected through a closed-ended questionnaire. The results were analyzed through the SPSS (Statistical Package for Social Sciences) by applying, frequencies, percentages, mean scores, and standard deviation. The results of the study indicate that most of the teachers had an understanding of the school cluster system. It emerged from the study that school clusters handled mostly financial-related issues that could not result in major administrative, peripheral teaching, and learning issues. The role of cluster systems and management practices are all areas that need consideration. All cluster heads must work to collaborate, communicate and coordinate so that all feedings’ schools can benefit from the school cluster system. The study also enables further research in this area as it is a new/fresh concept and may require specific strategies in the successful implementation of this system over the secondary schools in Zarghoon Town, Quetta. The study recommends that the school clusters should be well supported by concerned authorities so that they can engage, and coordinate activities related to learning and teaching at a larger scale.
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Anggraini, Rahayu, Elin Haerani, Jasril Jasril, and Iis Afrianty. "Pengelompokkan Penyakit Pasien Menggunakan Algoritma K-Means." JURIKOM (Jurnal Riset Komputer) 9, no. 6 (2022): 1840. http://dx.doi.org/10.30865/jurikom.v9i6.5145.
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Health is one of the most important factors besides education and income. Everyone has the same human rights to get good health services. A government agency that functions to serve all people who need medical services in Indonesia, namely the puskesmas. Ujung Batu Health Center which is located in Ujung Batu sub-district, Rokan Hulu Regency as one of the government agencies. The Ujung Batu health center stores patient medical record data, only sorting out the disease. Therefore, the medical record data needs to be processed using clustering or grouping using the K-Means method. This algorithm partitions the data into clusters so that data with the same characteristics are grouped into the same cluster and data with different characteristics are grouped. into another cluster. The data used consisted of 3875 records and 5 attributes, namely Gender, Participant Type, Diagnosis, Return Status, Address. From the test using the K-means algorithm, the clustering results show that cluster 1 has 710 data while cluster 2 has 3165 data. The results of the study show that the use of 2 clusters is the best cluster with a Silhouette Coefficient value showing results with a SC value of 0.646.
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Ersa Riga Puspita and Mujiati Dwi Kartikasari. "IDENTIFYING THE CLUSTER OF FAMILIES AT RISK OF STUNTING IN YOGYAKARTA USING HIERARCHICAL AND NON-HIERARCHICAL APPROACH." Jurnal Ilmiah Kursor 12, no. 4 (2024): 159–66. https://doi.org/10.21107/kursor.v12i4.358.
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Stunting, or short stature, is a growth disorder usually caused by chronic dietary deficiencies from the prenatal stage to early childhood, typically becoming evident in children after the age of 2. Stunting cases in Yogyakarta Province experienced a decline in 2020. With this development, the government aims to achieve zero stunting in Yogyakarta Province by 2024. To support this goal, a research study was conducted in 2021 to analyze family factors associated with stunting risks in Yogyakarta Province. The study aimed to assist the government in addressing the issue and achieving the target. In this research, a hierarchical clustering algorithm using the Ward technique and a non-hierarchical clustering algorithm using the Fuzzy C-Means (FCM) approach were applied. The optimal number of clusters was determined using the average distance and figure of merit approach. Stability validation, which also used the average distance and figure of merit approach, demonstrated that the best results were achieved by the non-hierarchical clustering algorithm employing FCM. As a result, six clusters were identified: cluster 1 with 5 sub-districts, cluster 2 with 18 sub-districts, cluster 3 with 21 sub-districts, cluster 4 with 17 sub-districts, cluster 5 with 14 sub-districts, and cluster 6 with 3 sub-districts.
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Kovaleva, Tatyana K. "Support of Establishment and Growth of Clusters: Central, Regional and Local Government." Juridical World 1 (January 26, 2023): 27–32. http://dx.doi.org/10.18572/1811-1475-2023-1-27-32.
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The various aspects of the present-day policymaking in relation to the cluster development and growth are analyzed. The concepts of approaches employed in Norway and the US are identiied, along with policy tools used to support the cluster creation, functioning and development. Speciic features of municipal policymaking are addressed and an overview of the approaches to cluster organization is provided. The policy tools are listed as effective solutions in the context of deploying the currently existing set of policy tools in this area. The set of policy tools in the above-mentioned countries has evolved with their key elements and the decisions adopted by the policy— makers in these countries to put in place the policy tools in the relevant area being addressed. The policy approach to the creation and development of clusters as the tools of industrial policy and area economic development has been formulated while emphasizing that the key policy makers are to be those at the regional and municipal level.
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Weijer, Charles, and Monica Taljaard. "Ottawa Statement does not impede randomised evaluation of government health programmes." Journal of Medical Ethics 46, no. 1 (2019): 31–33. http://dx.doi.org/10.1136/medethics-2019-105938.
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In this issue of JME, Watson et al call for research evaluation of government health programmes and identify ethical guidance, including the Ottawa Statement on the ethical design and conduct of cluster randomised trials, as a hindrance. While cluster randomised trials of health programmes as a whole should be evaluated by research ethics committees (RECs), Watson et al argue that the health programme per se is not within the researcher’s control or responsibility and, thus, is out of scope for ethics review. We argue that this view is wrong. The scope of research ethics review is not defined by researcher control or responsibility, but rather by the protection of research participants. And the randomised evaluation of health programmes impacts the liberty and welfare interests of participants insofar as they may be exposed to a harmful programme or denied access to a beneficial one. Further, Watson et al’s claim that ‘study programmes … would occur whether or not there were any … research activities’ is incorrect in the case of cluster randomised designs. In a cluster randomised trial, the government does not implement a programme as usual. Rather, researchers collaborate with the government to randomise clusters to intervention or control conditions in order to rigorously evaluate the programme. As a result, equipoise issues are triggered that must be addressed by the REC.
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Borkowska-Niszczota, Małgorzata. "ACTIVITY OF LOCAL GOVERNMENT IN CLUSTER STRUCTURES." Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, no. 473 (2017): 77–87. http://dx.doi.org/10.15611/pn.2017.473.06.
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Liu, Rongzhi, Qingxiong Weng, Guanfeng Mao, and Tianwei Huang. "Industrial cluster, government agency and entrepreneurial development." Chinese Management Studies 7, no. 2 (2013): 253–80. http://dx.doi.org/10.1108/cms-oct-2011-0085.
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Wellingtone, Matutu, and Levy Siaminwe. "An Investigation of the Cause of Delay in the Operationalization of Industrial Clusters in Zambia." European Modern Studies Journal 8, no. 1 (2024): 1–13. http://dx.doi.org/10.59573/emsj.8(1).2024.1.
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The Zambian government, through the Citizens Economic Empowerment Commission (CEEC), sourced funding from the African Development Bank and constructed eight Industrial clusters in 2018, one in each of the following towns, Kafue, Chipata, Mongu, Ndola, Kitwe, Solwezi, Mansa and Kasama. These clusters were to be operational by 2019. However, as at June 2023, only three industrial clusters in Chipata, Kasama, and Mongu were operational. This paper reports the findings on the causes of the delay in operationalizing the constructed industrial clusters. A qualitative research design was used to identify the factors causing delay in the operationalization of the industrial clusters. The findings revealed that, inadequate funding by government was a major impediment on the operationalization of the industrial clusters accounting for about 42%, while management of CEEC, due to being politically inclined, accounted for 22.7%. The other factors are: change in government support strategy to small businesses, which necessitated remodelling of cluster buildings to accommodate cooperatives in the industrial clusters (19%), industrial clusters located in the outskirts of the central business districts (9.7%), and lack of engineering and information technology services (6.3%). This study recommends an industrial cluster implementation which is devoid of political influence, and independent management body.
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Haptari, Vissia Dewi, Ari Mulianta Ginting, and Ferdinand David Aritonang. "Analysis of Factors Affecting Regional Financial Independence in the Framework of a Policy Strategy For Increasing Regional Original Income." Eduvest - Journal Of Universal Studies 2, no. 4 (2022): 777–96. http://dx.doi.org/10.36418/edv.v2i4.412.
Full textAbstract:
The regional autonomy policy, which is accompanied by the provision of balancing funds, has a goal, one of which is to have an impact on the financial independence of regency/municipal governments in Indonesia. The balancing funds provided should have an effect or have an impact on regional financial independence. This research is directed to see to what extent the relationship of fiscal decentralization can provide an increase in regional financial independence. Based on the results of the panel data regression analysis of the district/city data clusters, the results showed various results. In clusters I and IV, it shows that there is a positive and significant effect of the provision of balancing funds on regional financial independence. Meanwhile, based on the results of panel regression analysis in regencies/cities in cluster II, it shows that the provision of balancing funds has no significant effect on regional financial independence. The districts/cities in cluster III show that the balancing fund variable has a negative and significant influence on the financial independence of local governments. This implies that the provision of balancing funds for districts/cities in cluster III actually makes local governments dependent on transfer funds from the central government.
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Haptari, Vissia Dewi, Ari Mulianta Ginting, and Ferdinand David Aritonang. "Analysis of Factors Affecting Regional Financial Independence in the Framework of a Policy Strategy For Increasing Regional Original Income." Eduvest - Journal of Universal Studies 2, no. 4 (2022): 777–96. http://dx.doi.org/10.59188/eduvest.v2i4.412.
Full textAbstract:
The regional autonomy policy, which is accompanied by the provision of balancing funds, has a goal, one of which is to have an impact on the financial independence of regency/municipal governments in Indonesia. The balancing funds provided should have an effect or have an impact on regional financial independence. This research is directed to see to what extent the relationship of fiscal decentralization can provide an increase in regional financial independence. Based on the results of the panel data regression analysis of the district/city data clusters, the results showed various results. In clusters I and IV, it shows that there is a positive and significant effect of the provision of balancing funds on regional financial independence. Meanwhile, based on the results of panel regression analysis in regencies/cities in cluster II, it shows that the provision of balancing funds has no significant effect on regional financial independence. The districts/cities in cluster III show that the balancing fund variable has a negative and significant influence on the financial independence of local governments. This implies that the provision of balancing funds for districts/cities in cluster III actually makes local governments dependent on transfer funds from the central government.
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Kharlamov, A. V., and A. E. Sibgatullin. "Formation and Development of Innovation Clusters as a Prerequisite for the Transition Towards Intensive Economic Growth." Economics and Management 26, no. 9 (2020): 1005–12. http://dx.doi.org/10.35854/1998-1627-2020-9-1005-1012.
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The presented study examines innovative economic growth and its stimulating processes based on the development of innovative clusters. This involves determining the regulatory role of the government and choosing a regulatory model that would reflect the specific features of the examined country’s economic system. Aim. The study aims to consider foreign and Russian experience to formulate proposals for improving the conceptual mechanism that would ensure Russia’s transition towards predominantly intensive economic growth using the opportunities provided by innovative clusters. Tasks. The authors analyze the strategic direction of development of the global and national economies; determine the potential of clusters and cluster development as a tool that facilitates and guides economic growth; identify problem areas in the cluster development of the Russian economy and substantiate a set of measures aimed at eliminating them; determine the methods of government involvement in facilitating cluster development and substantiate the choice of the most appropriate method for a particular national economy; consider the foreign experience of transforming industrial clusters into innovative clusters and adapt it to the Russian economy. Methods. This study critically analyzes different scientific approaches to determining the essence of a cluster and the nature of its impact on the development of economic entities and the national economy as a whole. It also uses analytical tools to propose an adjustment of existing approaches to cluster regulation in Russia and to facilitate the creation of innovative clusters. Results. The role of innovation clusters in Russia and globally is determined in the context of the transition to predominantly intensive economic growth. The major problems that make it impossible to receive maximum benefits from clustering are highlighted. The relationship between innovation and cluster development is determined with allowance for the competitiveness index. The changes necessary for ensuring high-quality economic growth and improving the efficiency of clusters, particularly innovative clusters, are proposed. Factors that ensure successful innovative development in accordance with the main directions of cluster policy are identified. Conclusions. Examination of the role of clusters in the formation of predominantly intensive economic growth, the current state of the Russian economy, and existing cluster policy models makes it possible to evaluate the prospects for the development of the Russian economy using the potential of innovative clusters.
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Hasti, Iyomi, and Zuly Qodir. "Mapping of Government’s Communication Strategies in the COVID-19 Era on Social Media." Journal of Governance and Public Policy 11, no. 2 (2024): 180–92. http://dx.doi.org/10.18196/jgpp.v11i2.16710.
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This study explores the changing government communication methods throughout the unusual COVID-19 epidemic, with a focus on using social media as the main instrument for engaging with the public. We utilize a bibliometric methodology, examining an extensive dataset of articles obtained from journals indexed in Scopus. Using VOSviewer software, we provide a visual representation of the main theme clusters in this research. NVivo 12 Plus also supports word cloud analysis, which allows for the discovery of commonly used phrases and patterns within the analyzed material. The results of study reveals a range of communication strategies adopted by governments globally in response to the pandemic. These measures involve promoting communication in both directions, utilizing social media platforms to spread information, and using efficient strategies to communicate risks. The data demonstrates a predominance of research that specifically examines risk communication driven by the government, emphasizing its vital role in crisis management. In addition, the VOSviewer mapping reveals the presence of four unique theme clusters. The "government communication" cluster focuses on subjects such as communication strategy, the ongoing epidemic, the challenge of fake news, and the influence on public anxiety. These areas are key to the research and investigation within this cluster. This comprehensive analysis illuminates the complex correlation between social media communication techniques and successful public health actions amidst a worldwide crisis.
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Kutsenko, Evgeniy, Ekaterina Islankina, and Vasily Abashkin. "The evolution of cluster initiatives in Russia: the impacts of policy, life-time, proximity and innovative environment." foresight 19, no. 2 (2017): 87–120. http://dx.doi.org/10.1108/fs-07-2016-0030.
Full textAbstract:
Purpose This paper aims at assessing the impacts of the national cluster policy, cluster age, cluster development benchmarks of neighbouring regions and the cumulative level of regional innovative capacity on the quantity and quality of cluster initiatives in Russia. Design/methodology/approach Hypotheses’ testing was carried out by a series of calculations comparing the qualitative and quantitative characteristics of cluster initiatives; the number of new cluster initiatives to the number of neighbouring regions, where cluster initiatives had begun to develop earlier; and ranks of regions within the Russian regional innovation scoreboard to the quantity and quality characteristics of cluster initiatives therein. Findings The results of the study empirically confirm that the national cluster policy significantly influenced the emergence and advancement of cluster initiatives in Russia. The proximity to the regions, having previously launched cluster support programmes, also had an impact on the emergence of new cluster initiatives. The cluster initiatives’ age had an ambiguous effect on their performance. Finally, the level of regional innovative capacity was correlated only with the number of cluster initiatives localised therein. Practical implications The findings show that along with the direct effects of the national cluster policy for the government-supported clusters, there are positive externalities, e.g. the emergence of new cluster initiatives throughout the country. Originality/value The research database of 277 cluster initiatives has been drawn up as a part of the first national cluster mapping and covers almost a decade of clustering activity in Russia. The study analyses not only the cluster initiatives supported by the federal government but also those developed independently.