Notice of Retraction: Market power and industrial clusters upgrading — Case study of Zhuji pearl industrial cluster

2011 ◽  
Author(s):  
Sun Huaping ◽  
Huang Zuhui
Keyword(s):  
Market Power ◽  
Industrial Cluster ◽  
Industrial Clusters

Driving Model of Implementing Mass-Customization Manufacturing in Cluster Supply Chain

2014 ◽  
Vol 697 ◽  
pp. 478-481
Author(s):  
Chun Ling Liu ◽  
Shuang Shuang Liu
Keyword(s):  
Supply Chain ◽  
Mass Customization ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Driving Model ◽  
Using Data ◽  
Push Model

To explore the attributes of cluster supply chain, and provide its driving model (2P&2BP) for more effective and more efficient way in implementing mass customization. The paper analyzes cluster supply chain driving model for implementing mass customization manufacturing using data from case study from 8 garment and IT industrial clusters. In process of implementing mass customization, we found that cluster supply chain has supplying level, marketing level and supplementing level to support its driving model (2P&2BP: Pull/push/burst power/bottleneck press) rather than conventional pull\push model. thus SMEs (small and medium-sized enterprises) in industrial cluster would have chances to extensively participate cooperate with core companies in the form of supply chain, thus expanding gradually.

scholarly journals Industrial clusters in a post-socialist country: The case of the wine industry in Slovakia

2019 ◽  
Vol 27 (2) ◽  
pp. 62-78
Author(s):  
Jana Novotná ◽  
Ladislav Novotný
Keyword(s):  
Industrial Cluster ◽  
Industrial Clusters ◽  
Wine Industry ◽  
Economic Activities ◽  
Spatial Organisation ◽  
North East ◽  
Primary Identification ◽  
Business Entities ◽  
Wine Region

Abstract Research on clusters, unlike cluster initiatives, has not been comprehensively addressed in European post-socialist countries. The aim of this paper is to explore and to analyse quantitatively the spatial organisation of economic activities in the wine industry in Slovakia, and to assess it in terms of the concept of an industrial cluster. The wine industry is considered as a production sector in which location is determined by geographical factors. The research is based on a case study of a wine region located north-east of Bratislava, Slovakia. The primary identification of the cluster potential is based on the assessment of geographic conditions and statistical analyses focused on the spatial concentration of the industry within the defined area. An extensive questionnaire survey provided data for assessing the spatial organisation of economic activities and their impact on regional competitive advantage. Despite the spatial distribution of economic activities and relations among business entities affected by socialist industrialisation and post-socialist transformation, the results show that the industrial cluster was formed in the wine industry and its performance converges with the wine clusters in traditional Western European wine regions.

Chaos theory perspective for industry clusters development

2016 ◽  
Vol 30 (08) ◽  
pp. 1650112 ◽  
Author(s):  
Haiying Yu ◽  
Minghui Jiang ◽  
Chengzhang Li
Keyword(s):  
Chaos Theory ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Life Cycle Approach ◽  
Industry Clusters ◽  
Economic Activities ◽  
Theory Analysis ◽  
Relationship Of ◽  
Evolution Tendency

Industry clusters have outperformed in economic development in most developing countries. The contributions of industrial clusters have been recognized as promotion of regional business and the alleviation of economic and social costs. It is no doubt globalization is rendering clusters in accelerating the competitiveness of economic activities. In accordance, many ideas and concepts involve in illustrating evolution tendency, stimulating the clusters development, meanwhile, avoiding industrial clusters recession. The term chaos theory is introduced to explain inherent relationship of features within industry clusters. A preferred life cycle approach is proposed for industrial cluster recessive theory analysis. Lyapunov exponents and Wolf model are presented for chaotic identification and examination. A case study of Tianjin, China has verified the model effectiveness. The investigations indicate that the approaches outperform in explaining chaos properties in industrial clusters, which demonstrates industrial clusters evolution, solves empirical issues and generates corresponding strategies.

scholarly journals Evaluation of performance of local economic activity under an industrial cluster approach

2014 ◽  
Vol 6 (1) ◽  
pp. 81-109
Author(s):  
Mariusz Bednarek ◽  
Aleksander Buczacki ◽  
Juan Carlos Neri Guzmán
Keyword(s):  
Economic Activity ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Local Economy ◽  
Point Of View ◽  
Local Context ◽  
Economic Activities ◽  
Local Cluster ◽  
Evaluation Of Performance

Abstract The purpose of this article is to make a diagnosis of an economic activity identified as relevant in a local economy, in order to verify if it meets the criteria that characterize an industrial cluster. This paper presents the overall results of research which analyzes the case of the candy and chocolate industries from the point of view of industrial clusters. The research is relevant considering that it presents a methodology for measuring the degree of functionality of a productive activity considered as relevant in a local economy under international operation standards, which is not common in studies of countries in Latin America. The study seeks to answer the following research questions: - What is an industrial cluster and what are its characteristics ? - How to identify and evaluate an economic activity under a focus for industrial cluster? - What are the competitive strengths and opportunities for local economic activity? - Is it possible to design a strategy to promote the competitiveness of local economic activity? The paper consists of the following parts: - An introduction that presents the general problem context of the research subject is - Theoretical studies and related research methodology. Results of the investigation - Proposition of strategic intervention to improve the functionality of the local cluster studied The case study focuses on San Luis Potosí State, México, and it seeks to demonstrate the need to carry out industrial cluster initiatives as a strategy to promote enterprise development and strengthen economic activities in the manufacture of candies and chocolate, identified as relevant in the local context.

scholarly journals Research on Cooperative Innovation Behavior of Industrial Cluster Based on Subject Adaptability

2016 ◽  
Vol 2016 ◽  
pp. 1-19 ◽  
Author(s):  
Xiaohui Jia ◽  
Minghui Jiang ◽  
Lei Shi
Keyword(s):  
Steady State ◽  
Evolutionary Game ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Government Support ◽  
Correlated Equilibrium ◽  
Game Model ◽  
Cooperative Innovation ◽  
The Cost ◽  
The Impact

From the perspective of the interactive cooperation among subjects, this paper portrays the process of cooperative innovation in industrial cluster, in order to capture the correlated equilibrium relationship among them. Through the utilization of two key tools, evolutionary stable strategy and replicator dynamics equations, this paper considers the cost and gains of cooperative innovation and the amount of government support as well as other factors to build and analyze a classic evolutionary game model. On this basis, the subject’s own adaptability is introduced, which is regarded as the system noise in the stochastic evolutionary game model so as to analyze the impact of adaptability on the game strategy selection. The results show that, in the first place, without considering subjects’ adaptability, their cooperation in industrial clusters depends on the cost and gains of innovative cooperation, the amount of government support, and some conditions that can promote cooperation, namely, game steady state. In the second place after the introduction of subjects’ adaptability, it will affect both game theory selection process and time, which means that the process becomes more complex, presents the nonlinear characteristics, and helps them to make faster decisions in their favor, but the final steady state remains unchanged.

Sustainable development early warning and financing risk management of resource-based industrial clusters using optimization algorithms

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yawen Wang ◽  
Weixian Xue
Keyword(s):  
Risk Assessment ◽  
Early Warning ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Shaanxi Province ◽  
Support Vector ◽  
Content Type ◽  
Financing Risk ◽  
Yulin City ◽  
Warning Model

PurposeThe purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in FRA.Design/methodology/approachThis study used the Support Vector Machine (SVM) algorithm that is analyzed together with the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm. First, Yulin City in Shaanxi Province is selected for case analysis. Then, resource-based industrial clusters are studied, and an SD early-warning model is implemented. Then, the financing Risk Assessment Index System is established from the perspective of construction-operation-transfer. Finally, the risk assessment results of Support Vector Regression (SVR) and ACO-based SVR (ACO-SVR) are analyzed.FindingsThe results show that the overall sustainability of resource-based industrial clusters and IoT industrial clusters is good in the Yulin City of Shaanxi Province, and the early warning model of GA-based SVR (GA-SVR) has been achieved good results. Yulin City shows an excellent SD momentum in the resource-based industrial cluster, but there are still some risks. Therefore, it is necessary to promote the industrial structure of SD and improve the stability of the resource-based industrial cluster for Yulin City.Originality/valueThe results can provide a direction for the research on the early warning and evaluation of the SD-oriented resource-based industrial clusters and the IoT industrial clusters, promoting the application of SVM technology in the engineering field.

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