Chaos theory perspective for industry clusters development

2016 ◽  
Vol 30 (08) ◽  
pp. 1650112 ◽  
Author(s):  
Haiying Yu ◽  
Minghui Jiang ◽  
Chengzhang Li

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.

2019 ◽  
Vol 27 (2) ◽  
pp. 62-78
Author(s):  
Jana Novotná ◽  
Ladislav Novotný

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.


2014 ◽  
Vol 6 (1) ◽  
pp. 81-109
Author(s):  
Mariusz Bednarek ◽  
Aleksander Buczacki ◽  
Juan Carlos Neri Guzmán

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.


Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1877 ◽  
Author(s):  
Brage Rugstad Knudsen ◽  
Hanne Kauko ◽  
Trond Andresen

Industrial plants organized in clusters may improve their economics and energy efficiency by exchanging and utilizing surplus heat. However, integrating inherently dynamic processes and highly time-varying surplus-heat supplies and demands is challenging. To this end, a structured optimization and control framework may significantly improve inter-plant surplus-heat valorization. We present a Modelica-based systems model and optimal-control scheme for surplus-heat exchange in industrial clusters. An industry-cluster operator is assumed to coordinate and control the surplus-heat exchange infrastructure and responsible for handling the surplus heat and satisfy the sink plants’ heat demands. As a case study, we use an industry cluster consisting of two plants with surplus heat available and two plants with heat demand. The total surplus heat and heat demand are equal, but the availability and demand are highly asynchronous. By optimally utilizing demand predictions and a thermal energy storage (TES) unit, the operator is able to supply more than 98% of the deficit heat as surplus heat from the plants in the industry cluster, while only 77% in a corresponding case without TES. We argue that the proposed framework and case study illustrates a direction for increasing inter-plant surplus-heat utilization in industry clusters with reduced use of peak heating, often associated with high costs or emissions.


2014 ◽  
Vol 697 ◽  
pp. 478-481
Author(s):  
Chun Ling Liu ◽  
Shuang Shuang Liu

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.


2021 ◽  
Author(s):  
Emma Yunika Puspasari ◽  
Ni’matul Istiqomah ◽  
Nur Anita Yunikawati ◽  
Magistyo Purboyo Priambodo

Malang is one of the cities that supports the creation of a competitive creative economy. There are a number of industrial clusters spread throughout the Malang area, one of which is the Sanitair cluster. Industry security in Malang was very high before the COVID-19 pandemic. The COVID-19 pandemic has caused a decline in the economy and in activity in the creative economy sector in Malang, including in the Sanitair industry cluster. The economic shock caused by the COVID-19 pandemic gradually subsided as the stability of the domestic financial market and economic sectors stretched. However, the supply and demand sides of the industry were both hit, so recovery efforts still need more time. The spread of the virus also has not shown signs of ending along with the increasing trend of cases and confirmed deaths. The demand for various social and economic activities is getting stronger, marked by loosening of physical distancing in many areas. On the other hand, the existing public health infrastructure is still inadequate. So, there is a high risk to moving back the various wheels of social and economic activity in the Sanitair industry cluster in Malang. COVID-19 affected the supply chain of the SME industry, including the absorption of products, the availability of raw materials, suppliers and the distribution process of the Sanitair industry. Keywords: Economic downturn, Industrial cluster, supply chain


2021 ◽  
Vol 7 (6) ◽  
pp. 5755-5769
Author(s):  
Zhang Liping ◽  
Yang Huiya

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.


2011 ◽  
Vol 368-373 ◽  
pp. 1806-1809
Author(s):  
Wen Long Zhu

At present, China is in the period of rapid growth of industrialization. In order to develop industrial enterprise, every place is in the construction of industrial park or industrial clusters. But the present social economic activities are uncertain because of the direct impact from the external environment. So in the planning of industrial clusters of Yitang, the elastic planning concept is adopted in order to adapt to this uncertainty. Many measures are adopted, such as the road network planning, the road section, infrastructure layout and focus on the recent planning, so as to improve the ability to adapt to the uncertainty in the future, which makes the planning and design of the industrial clusters adapt to the needs of the future better.


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