The impact of industrial clusters in greening manufacturing industry practices in small and medium scale enterprises: the case of the Old Ardbennie Industrial Cluster in Harare, Zimbabwe

2010 ◽  
Vol 2 (1) ◽  
pp. 91 ◽  
Author(s):  
Charles Mbohwa ◽  
Peter Rwakatiwana ◽  
Stanley Fore
Keyword(s):  
Manufacturing Industry ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Medium Scale ◽  
The Impact

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.

Assessing the Success of an Industrial Cluster

2012 ◽  
Vol 3 (3) ◽  
pp. 21-36 ◽  
Author(s):  
Neil Reid ◽  
Bruce W. Smith
Keyword(s):  
Problem Solving ◽  
Development Strategy ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Collaborative Problem Solving ◽  
Energy Costs ◽  
Collaborative Problem ◽  
Regional Development Strategy ◽  
The Impact ◽  
Reducing Energy

Industrial clusters have received considerable attention as a regional development strategy. While their efficacy has been debated by academics, clusters have become popular among practitioners. Despite clusters’ acceptance, there have been few attempts to measure their success or their impact on constituent firms. This paper outlines and discusses the metrics developed to evaluate the success of the northwest Ohio greenhouse cluster. The cluster was launched in 2004 to help the industry become more competitive though collaborative problem solving. In identifying success metrics, the authors were cognizant of the fact that they had to reflect the cluster’s objectives and goals. Thus metrics that measured the impact of branding and marketing efforts, reducing energy costs, and increasing collaboration among cluster stakeholders were developed. The work reported in this paper is only the beginning phases of a longer-term, on-going effort to track the progress and success of the northwest Ohio greenhouse cluster.

The impact of industrial clusters on human resource and firms performance

2014 ◽  
Vol 9 (2) ◽  
pp. 141-159 ◽  
Author(s):  
Maw-Shin Hsu ◽  
Yung-Lung Lai ◽  
Feng-Jhy Lin
Keyword(s):  
Human Resources ◽  
Positive Impact ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Global Market ◽  
Content Type ◽  
Key Factor ◽  
The Face ◽  
Processing Zone ◽  
The Impact

Purpose – The purpose of this study was to explore the impact of the formation of industrial clusters on the obtainment of professional human resources, to verify the impact of human resources on clustering relationships and firm’s performance and to understand whether the formation of clusters can contribute to the obtainment of professional human resources and the improvement of competitiveness of enterprises. It was expected that solutions could be found to make new contributions through the verification of special economic zones (SEZs). Design/methodology/approach – Using manufacturers in Taiwan’s SEZs as the subjects, this study explored the impact on the obtainment of professional human resources after the formation of industrial clusters in SEZs, through conducting and empirical study with a questionnaire survey. Findings – The professional human resources are the essential factor for the formation of industrial clusters and the improvement of competitiveness. This study also confirmed that industries can have professional human resources by industrial clustering and that this will produce a positive impact on the enterprise clustering relationships, which can also have a positive impact on firm’s performance and can enhance the enterprise’s competitive advantage. Practical implications – Industrial clustering is the key factor to attract professional human resources; industrial clusters can enhance firm’s performance; and professional human resources affect firm’s performance of enterprises. Originality/value – No study has discussed the topic of clusters from the perspective of SEZs also including six export processing zone (EPZ) parks in Taiwan. This study discussed the topic using theories relating to clustering and human resources. The formation of industrial clusters can result in higher competitiveness in the face of the global market. The EPZ industrial cluster provides an excellent investment environment. Coupled with one-stop express services and geographic advantage, the land-use rate is up to 97 per cent and the per hectare output value amounts to NTD 3.2 billion, setting a successful example of an industrial cluster.

scholarly journals TAKING INTO ACCOUNT TERRITORIAL AND INNOVATIVE ASPECTS IN THE FORMATION OF THE INDUSTRIAL CLUSTER

2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
I. Maksymenko ◽  
O. Shkulipa ◽  
O. Pavlenko ◽  
O. Dreval
Keyword(s):  
Cluster Formation ◽  
Geographical Location ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Innovation Activity ◽  
Territorial Development ◽  
Industrial Enterprises ◽  
Industry Affiliation ◽  
The Impact ◽  
Statistical Indicators

The article analyzes the impact of territorial and innovative aspects on the formation of an industrial cluster. Improving the efficiency of territorial development is one of the biggest problems of the modern economy and management. The system of consideration of territorial and innovative aspects of industrial cluster formation is considered in the article. It is determined that an important component is the institutional changes, the use of appropriate methods and tools of state influence, aimed at the process of clustering in the study areas. Particular importance is attached to the study of the implementation of the phased process of cluster formation. The need for effective functioning of the state mechanism is revealed. Statistical indicators of Ukraine's development are presented, on the basis of which the components for assessing the development potential of the territory are analyzed. In particular, a model of dependence of the territory's potential on a number of indicators is proposed. The influence of the development of the innovation aspect on the formation of the attractiveness of the region is studied. It is proved that the assessment of the region's potential correlates with the costs of innovation in this region. The results of the study showed that the cluster approach allows to consider and describe the industries applied to a particular area and its features. Most often, clusters of enterprises are classified according to such parameters as geographical location, availability of capital, proximity of suppliers, competitiveness, access to specialized services, development of labor potential, availability of specialized educational institutions and research organizations, industry affiliation. The application of integrated assessment in this study made it possible to identify highly promising, medium-promising and low-promising areas, ie to determine the stages of formation of industrial clusters. The article also analyzed statistical indicators such as innovation activity of industrial enterprises, labor force, research and development costs. In particular, the coincidence of the dynamics of changes in these indicators was determined. This is the basis for taking into account territorial and innovative aspects in the formation of industrial clusters.

scholarly journals The Impact of Innovative Industrial Cluster Policy on Regional Innovation: Evidence from a Quasi-Natural Experiment in China

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Huan Wang ◽  
Jinhua Guo
Keyword(s):  
Natural Experiment ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Government Support ◽  
Mediation Effect ◽  
Eastern Region ◽  
Cluster Policy ◽  
Regional Innovation ◽  
Promoting Effect ◽  
The Impact

As important carriers of local innovation activities, innovative industrial clusters are attracting increasing attention. Therefore, several countries have started promotion policies for innovative industrial clusters. However, there are few empirical studies on relevant policies. This paper investigates the impact of China’s “innovative industrial cluster pilot” (IICP) policy on regional innovation. Taking the implementation of IICP policy as a quasi-natural experiment and using the panel data of 266 prefecture-level cities in China in 2008-2019, this paper provides strong evidence that IICP policy promotes regional innovation. The conclusion still holds after a battery of robustness checks. The heterogeneity test shows that the promoting effect of IICP policy on innovation is more significant in central and western region than in eastern region. Moreover, the lower the city administrative level and the lower the dependence on natural resource, the more prominent the innovation effect of IICP policy. Further, the mechanism test shows that the IICP policy can promote regional innovation indirectly by strengthening government support for innovation and attracting the agglomeration of science and technological talents, but the mediation effect of industrial structure has not been verified.

scholarly journals A Coupling Coordination Degree Research of Civil-Military Industrial Integration in Regional Economic Development Based on Industrial Cluster Perspective--Taking Aerospace Manufacturing of Shaanxi as an Example

2018 ◽  
Vol 10 (9) ◽  
pp. 89 ◽  
Author(s):  
Chongyi Zhang
Keyword(s):  
Economic Development ◽  
Manufacturing Industry ◽  
Regional Economic Development ◽  
Principal Component ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Shaanxi Province ◽  
Regional Economic ◽  
Aerospace Manufacturing ◽  
Coordination Degree

Based on the principle of coupled cooperation, the article identifies indicators from the perspective of industrial clusters, uses the principal component analysis to extract the effective coupling indicators of military-and-civilian integration industry and regional economic development and builds a model for the coupling coordination between the two. Taking the aerospace manufacturing industry in Shaanxi Province as an example, the article finds that the coupling degree between the aerospace manufacturing industry in Shaanxi Province and the regional economy has been increasing year by year, gradually shifting from disordered development to orderly evolution. Finally, based on empirical conclusions, relevant recommendations are given.

scholarly journals The effects of culture, attitudes and perceptions on industrial cluster policy: The case of Russia

2020 ◽  
pp. 102452942094949 ◽  
Author(s):  
Sergey Sosnovskikh ◽  
Bruce Cronin
Keyword(s):  
Cluster Model ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Cluster Policy ◽  
Industrial Parks ◽  
Attitudes And Perceptions ◽  
Effective Development ◽  
Economic Zones ◽  
The Impact ◽  
Depth Interviews

Culture, attitudes and perceptions have an underappreciated effect on industrial cluster policies particularly in transition economies, where long-established local social norms are confronted with hard-pressed external imperatives. This paper examines the impact of cultural and governmental peculiarities in the Russian context on the development of special economic zones and industrial parks. Based on some stylized facts about the Russian context, in-depth interviews and surveys of the managing companies and tenants of all industrial clusters in Russia, we find cultural and governmental characteristics emerge as major influences on the effective development of industrial cluster policies. We develop an adapted industrial cluster model that accommodates these factors and suggests a policy pathway for mitigation.

scholarly journals The role of cluster cycle and pattern of interaction to competition strategy

2016 ◽  
Vol 14 (2) ◽  
pp. 74-83 ◽  
Author(s):  
Sri Hartono ◽  
Agus Sobari
Keyword(s):  
Small And Medium Enterprises ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Furniture Industry ◽  
Cluster Policy ◽  
Central Java ◽  
Medium Enterprises ◽  
Wooden Furniture ◽  
The Impact

Many studies show that industrial clusters have been successfully promoting the progress of small and medium enterprises (SMEs). Therefore, many governments around the world, including Indonesia, enthusiastically perform comparative studies of cluster policy. Thus, it is important to understand the characteristics of the business of small and medium industries as input in formulating the policy of industrial clusters. Research objectives are focused on the early stages of analysis as to whether the cluster of wood and rattan furniture industry which has existed long enough in Jepara, Central Java, Indonesia, has formed a pattern of awareness among employers in considering the benefits proportionally between cooperation and competition. In various scientific literature reviews, this issue was named by the term coopetition. Thus, the benefits of this research are useful in formulating policy toward strengthening the industrial cluster furniture and rattan towards a more integrative of industrial clusters, and supporting industries involve complex, well integrated backward (backward linkage) and integrated into the front (forward linkage). In the end, it is expected that increasingly mature industrial clusters of wooden furniture and rattan will be transformed into a form of industrial agglomeration and positively impact on strengthening the competitiveness of the furniture industry widely influential in regional and national economy. The test results show that nearly all of the dimensions of a differentiator (discriminant factor) are significant by influence on differentiating into three patterns of interaction between companies in the cluster of wooden furniture and rattan, while there is only one dimension that is not significant, i.e., the horizontal dimension of cooperation. These results indicate that the industrial cluster of wooden furniture and rattan in Jepara have long formed, where the cycles and patterns of cooperation are factors that could indicate variations in differences concerning perceptions of entrepreneurs in the wood and rattan furniture cluster. Results of the analysis with the approach of the discriminant also show the forming awareness of employers about balancing the important role of competition. It is, as well as cooperation in the industrial cluster wood and rattan furniture from Jepara being already cycle of clusters, characterized by maturity. The cooperation is characterized by bilateral, multilateral, and vertical indicating that the cluster is ready to metamorphose into a form more complicated than an agglomeration. This condition needs to be examined further to see the impact of the maturity cycle of an industrial cluster and more complex patterns of cooperation towards the formation prerequisite agglomeration, and its impact on industrial performance and competitiveness clusters in the aggregate, as well as the economic development of the region

Evaluation of the Effectiveness of Financing Industrial Clusters

2019 ◽  
pp. 36-47
Author(s):  
M.B. Trachenko ◽  
O.D. Gaisha
Keyword(s):  
Systems Approach ◽  
Industrial Cluster ◽  
Cash Flows ◽  
Industrial Clusters ◽  
Cluster Policy ◽  
Mathematical Methods ◽  
Actual Problem ◽  
Cluster Development ◽  
Tier System ◽  
The Impact

The article is solving an actual problem — development of a system of indicators to evaluate the effectiveness of financing industrial clusters in Russia. The article analyzes the cluster models of Russian and foreign authors, identifies their strengths and weaknesses. A universal information model of the cluster was developed, reflecting the interaction of the participants among themselves and with external stakeholders of the cluster development. The developed model has three control loops: internal cluster stakeholders, cluster, cluster's region. Each has the specificity of the movement of inventory and cash flows, information interaction in the implementation of cluster policy, and reflects the interests of various stakeholders of industrial clusters. The model lays the groundwork to justify a three-tier system of indicators to evaluate the effectiveness of financing industrial clusters. The subsystems of the indicators of the impact of the industrial cluster on the regional economy, of the indicators of the industrial cluster development and the subsystem of the indicators of the financial condition of enterprises participating in the industrial cluster are highlighted in the proposed system. The study used the methods of bibliographic and logical analysis, synthesis and systems approach, mathematical methods of statistical data processing. The developed system of indicators for assessing the effectiveness of financing industrial clusters can be used to conduct current and subsequent monitoring of financing the implementation of cluster programs, to prepare decisions on the allocation of budgetary funds by state and municipal authorities, and to potential investors to determine the most promising investment instruments.

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