Academic articles on clusters - 136

Natalia Gutierrez,

A TOPSIS analysis of regional  competitiveness at European level 

By: F. Ferrarini, S. Muzzioli, B. De Baets. Competitiveness Review, DOI: 10.1108/CR-01-2024-0005, September 2024.

Abstract: “Purpose - The measurement of regional competitiveness is becoming essential for policymakers to address territorial disparities, while considering the issue of correlations among indicators. Therefore, the purpose of this paper is to measure regional competitiveness using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) by considering different distance measures and two levels of analysis to provide a comparative and comprehensive measurement of regional competitiveness in Europe. Design/methodology/approach - The authors apply TOPSIS based on three different distance measures (the Manhattan, the Euclidean and the Mahalanobis distance measures) to the regions of the EU Regional Competitiveness Index (RCI) 2019, which is taken as the frame of reference. Findings - The authors replicate the RCI by using TOPSIS with a less preferred choice of distance measure, indicating TOPSIS as a valuable method for policymakers in the analysis of regional competitiveness. The authors argue in favour of the Mahalanobis distance measure as the best of the three, as it considers correlations among macro-economic indicators. Originality/value  - This study aims to make three contributions. Firstly, by replicating the RCI by means of TOPSIS with a less preferred choice of distance measure, the paper provides a benchmark for future research on regional competitiveness. Secondly, by suggesting the use of TOPSIS with the use of the Mahalanobis distance measure, the authors show how to measure regional competitiveness by taking into account correlations among pillars. Thirdly, the authors argue in favour of considering clusters of regions when measuring regional competitiveness.” [ABSTRACT FROM AUTHORS]

Exploring circular economy strategies of SMEs in the Italian  tanning cluster of Arzignano: A multilevel perspective of reactive and  proactive strategies

By: M. Ferasso, F. Belussi, E. Sabbadin. Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2024.143885, October 2024.

Abstract: “While the Circular Economy predominantly affects large companies and multinationals, its impact on Small and Medium-sized Enterprises (SMEs) is an emerging research area. This research aimed to unfold the Circular Economy strategies implemented by SMEs within an industrial cluster context. Ten companies from the Italian tanning cluster of Arzignano were selected as case studies. Thematic analysis, pattern-matching, and multi-value Qualitative Comparative Analysis techniques were used to analyze primary and secondary data. Main findings revealed that CE strategies taken by the studied companies were characterized by the economic and efficiency benefits provided, such as resource-saving, waste management, energy use reduction, and materials selection for further recycling. SMEs' management is targeting compliance with environmental regulations/certifications, market pressures, and cost-benefit assessments, evidencing an adaptive behavior to external exigencies. Novel findings came from the meso level, such as a ‘symbiotic circularity’ strategy taken by two SMEs and their value chain for co-production, and the chain actions related to recycling, remanufacturing, and reusing wasted products by partner companies. A cascade chain of interdependent actions toward Circular Economy practices was also identified within the cluster level. Reactive and proactive Circular Economy strategies were identified in a multilevel framework.” [ABSTRACT FROM AUTHORS]

Industry clusters and macroeconomic (in)stability

By: C. Chang. Macroeconomic Dynamics, DOI: 10.1017/S1365100524000488, September 2024.

Abstract: “While the competitive behavior of firms with regard to entry and exit activities serves as a driving force behind the business cycle, little attention has been paid to the issue of industry clusters when discussing belief-driven cyclical fluctuations. Faced with this deficiency, this study analyzes the possibility of the emergence of equilibrium indeterminacy from the perspective of industrial organization. By analyzing the effects of endogenous overhead costs in the market, this paper finds that belief-driven business cycle fluctuations are related to industry clusters. More specifically, a stronger spillover effect or a less pronounced congestion effect tends to increase the likelihood of local indeterminacy.” [ABSTRACT FROM AUTHOR]

Understanding the Level of  Integration in Existing Chemical Clusters: Case Study in the Port of Rotterdam

By: M. Tan, P. Ibarra-González, I. Nikolic, A. Ramírez Ramírez. Circular Economy and Sustainability, DOI: 10.1007/s43615-024-00410-5 , October 2024.

Abstract: “The petrochemical industry is composed of several interconnected processes that use fos­sil-based feedstock for producing chemicals. These processes are typically geographically clustered and often belong to different parties. Reducing the environmental impacts of the petrochemical industry is not straightforward due to, on the one hand, their reliance on fossil fuels for energy and as a feedstock and, on the other hand, the significant level of interconnected energy and material flows among processes. Current methods for analyz­ing changes to existing processes cannot capture the multitude and level of interactions. The goal of this paper is to create a model of a petrochemical cluster and analyze its physical characteristics and performance. This paper addresses this goal by developing an assessment method that combines process simulations, multiplex graph analysis, and key performance indicators. The method is applied to a case study based on the petrochemi­cal cluster in the Port of Rotterdam, resulting in a uniquely highly detailed model of a petrochemical cluster. The network analysis results show that only some of the processes are very interconnected. From the performance analysis, it can be observed that the ole­fins process is the most carbon-intense and has high CO2 emissions. Additionally, the results showed the importance of considering existing interconnections when assessing the current performance of existing petrochemical clusters or the performance due to future changes to chemical processes. For instance, some changes would occur to an industrial cluster by introducing alternative carbon sources, such as biomass or CO2.” [ABSTRACT FROM AUTHORS]

Changing scope of gentrification in  Seoul? Neighborhood transformation and displacement in Sangwangsimni and  Changsin-Sungin industrial clusters

By: B. Križnik, K. Kim. The Developing Economies, DOI: 10.1111/deve.12420, October 2024.

Abstract: “Gentrification and displacement used to be an integral part of neighborhood transformation in Seoul, contributing to its economic and urban growth. While direct displacement has recently declined, new forms of displacement are emerging. This study employs a qualitative, case-oriented research approach to understand gentrification in Seoul by comparing neighborhood transformation and displacement in Sangwangsimni and Changsin-Sungin industrial clusters. In Sangwangsimni, the property-led urban redevelopment contributed to the direct displacement of residents. In contrast, Changsin-Sungin residents were able to remain in place because of the state-led urban regeneration. However, the latter resulted in residents' feelings of powerlessness, emotional distress, and alienation, which increased displacement pressure and contributed to their indirect displacement. The consequences of neighborhood transformation for displacement reveal not only the changing scope of gentrification in Seoul but also the enduring role of the state in facilitating capital accumulation through the class remaking of the city.” [ABSTRACT FROM AUTHORS]

Promoting and Developing Industrial Organic Clusters in  Egypt: Case Study of Damietta Furniture Cluster

By: N. Abdelmoula. AUC Knowledge Fountain [Master's Thesis, the American University in Cairo], Available at: https://fount.aucegypt.edu/etds/2427, 2024.

Abstract: “This study examines the development of industrial clusters in Egypt, with a specific focus on the Damietta Furniture Cluster, an organic industrial cluster known for its rich tradition in furniture craftsmanship. These industrial clusters, which are primarily composed of micro, small, and medium enterprises (MSMEs), are characterized by the geographical concentration of interconnected firms and institutions, play a critical role in fostering economic growth, innovation, and competitiveness, particularly in emerging economies. The research explores the key factors affecting the development of the Damietta Furniture Cluster, identifies the challenges it faces, and provides policy recommendations to enhance its growth and global competitiveness. The study employs a qualitative research approach, utilizing 14 in-depth interviews with key stakeholders, including government officials, business owners, and representatives from support organizations. The findings highlight the cluster's strengths, such as its deep-rooted craftsmanship and a strong network of micro, small, and medium enterprises (MSMEs). However, the cluster also faces significant challenges, including limited access to finance, outdated infrastructure, and the need for technological upgrades. These challenges are compounded by a restrictive legislative and regulatory environment, fragmentation among support organizations, and fluctuating prices for raw materials. Based on the data analysis and findings, the study suggests various policy recommendations that build upon previous and current efforts and initiatives. Addressing these challenges is essential to unlocking the Damietta Furniture Cluster's full potential and ensuring its sustainable growth in the global market. This study contributes to the broader understanding of industrial clusters development in developing economies and offers practical insights for policymakers and stakeholders involved in the economic development of Egypt. Future research could expand on these findings by exploring comparative studies with other clusters in Egypt or similar contexts globally.” [ABSTRACT FROM AUTHOR]

Building a sustainable institutional model for ornamental  fish farming export villages in Indonesia 

By: A. D. B. Tarihoran, M. Hubeis, S. Jahroh, N. Zulbainarni. International Journal of Agricultural Sustainability, DOI: 10.1080/14735903.2024.2401203, September 2024.

Abstract: “Despite its great fisheries biodiversity, Indonesia is not the world's largest ornamental fish exporter. To improve export competitiveness, it is also necessary to strengthen the cluster competitiveness through institutional development. Indonesia contains several ornamental fish-producing regions, and the government has designated several aquaculture farming villages, including four regions for ornamental fish farming. This research aims to build a sustainable institutional model of an ornamental fish farming export village (OFFEV) that is expected to increase Indonesia's ornamental fish exports. The study utilized the Interpretive Structural Modeling (ISM) methodology. This approach aims to ascertain the hierarchical prioritization of stakeholders and the requisite programme stages for achieving the success of the OFFEV initiative. Through identification, judgment, and validation from 18 experts who participated in the study, the results reveal that the fisheries department, Ministry of Marine Affairs and Fisheries, trade attachés, customs, and research institutions can drive the OFFEV. Short-term programmes are the main priorities, including sustainable cultivation and quarantine assistance, cooperative establishment, facilities and infrastructure support, broodstock aid, funding, product marketing training, and partnership programmes. Finally, based on the ISM results and expert opinion, we built an OFFEV model centred on export-oriented Village-Owned Enterprises or multi-party cooperatives.” [ABSTRACT FROM AUTHORS]

Urban Innovation as a Catalyst for China’s Economic Transformation:  Identifying High-Potential Innovation Zones Across the Country

By: M. Zhou, Z. Wu, S. Zhou, T. Yang. SSRN, DOI: 10.2139/ssrn.4979374, October 2024.

Abstract: “In China's urban development, innovation zones have emerged as pivotal drivers of technological advancement and economic growth. Using a 3×3 km grid system, this study identifies 125 high-potential innovation zones nationwide, categorizing them into four models: university and research institution-driven, industrial cluster and strategic emerging industry-driven, transportation hub-driven, and comprehensive-driven zones. Through spatial and economic analysis, the study highlights the importance of talent concentration, strategic regional specialization, and cross-sector collaboration in fostering sustainable growth. The study also underscores the role of surrounding collaborative areas in supporting these innovation ecosystems. The findings provide actionable insights for policymakers and urban planners aiming to enhance innovation zones as sustainable engines of economic growth. Future research directions are suggested, including developing sustainable profit models, implementing market-driven operations with spatial flexibility, and integrating peripheral ecosystems to enhance innovation capacity.” [ABSTRACT FROM AUTHORS]

Experience of Uzbekistan in organizing the activities of cotton-textile  clusters

By: S. A. Madaminovich. American Journal Of Applied Science And Technology, DOI: 10.37547/ajast/Volume04Issue09-06, September 2024.

Abstract: “The article is devoted to the experience of Uzbekistan in organizing the activities of regional cotton-textile clusters. It analyzes the capabilities of regional clusters in the economic development of industries and regions. The goals of clustering the cotton-textile industry in Uzbekistan and the measures being implemented to achieve these goals are described.” [ABSTRACT FROM AUTHOR]

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