The Experts below are selected from a list of 28242 Experts worldwide ranked by ideXlab platform
Chen Liu-qin - One of the best experts on this subject based on the ideXlab platform.
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Industrial Cluster Competitiveness Study
2009Co-Authors: Chen Liu-qinAbstract:The key of Industrial Cluster competitiveness is competive edge,which can summrize the three attributes of Industrial Cluster,namely,factors,structure and competence.Industrial Cluster competitiveness is a kind of self-organizational force,bonding force,and cooperation force.As the policy maker and implementer of Industrial Cluster development,government plays an important role in improving Industrial Cluster competitiveness.
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Summary of Industrial Cluster Theory Based on New Economic Geography
Journal of Hunan University of Science & Technology, 2007Co-Authors: Chen Liu-qinAbstract:New economic geography in the economics incorporated the studies on Neo-international business theories and competitive advantage economics in the 1980's.New economic geography theories have offered a good explanation to the growth of Industrial Cluster.This paper analyzes briefly the background of new economic geography,introduces emphatically the discussions about Industrial Cluster theory in the 1990's that Krugman——the delegate of new economic geography has done,while we combs all sorts of standpoints on Industrial Cluster that other new economic geography scholars,besides Krugman,have put forward,exploring new progress in Industrial Cluster and combining to make synoptic comments into these new economic geography theories accordingly.
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On Relational Theories of Industrial Cluster' Technological Innovation
Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2007Co-Authors: Chen Liu-qinAbstract:The important researching task of the Industrial Clusters is the relationship between Clusters and innovation,its core is the interactive conection between the Industrial Clusters and the technology innovation.By analysizing tacit knowledge theory of Industrial Clusters' technological innovation and innovation environment theory of Industrial Clusters,The article come out a conclusion as follow;tacit knowledge is the more important knowledge resource for Industrial Cluster,and it is an indispensability variable that Industrial Cluster' technological innovation become successful.and meanwhile.Environment is an important milieu that innovation depends on,and the result of innovation process is the form of Industrial Clusters.
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On Correlation Theories of Technique Innovation for Industrial Cluster
Journal of Shijiazhuang of University of Economics, 2007Co-Authors: Chen Liu-qinAbstract:The relationship between Industrial Clusters and technique innovation is one of the important subjects for Industrial Clusters studying.By analyzing the tacit knowledge and its application environment in Industrial Clusters,it is indicated that the tacit knowledge is important knowledge resource for Industrial Cluster,and it is an indispensable variable for Industrial Cluster to become successful in technique innovation.Environment is an important condition on that innovation depends,and the innovation can result in the forming of Industrial Clusters.
Chihtai Huang - One of the best experts on this subject based on the ideXlab platform.
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elucidating the Industrial Cluster effect from a system dynamics perspective
Technovation, 2006Co-Authors: Chinhuang Lin, Chiumei Tung, Chihtai HuangAbstract:This study applies the system dynamics (SD) methodology to explore factors affecting the Industrial Cluster effect, which is crucial in determining national and Industrial competitive advantage. A literature review finds few studies that utilize SD to investigate factors affecting the Industrial Cluster effect. In a global business environment, competition is not just between individual companies and supply chains, but also among companies in regional Clusters. The concept of SD, devised by Jay W. Forrester et al, helps mankind realize the variation of a complicated system, and perceive how an internal feedback loop within a system impacts whole system's behavior. This study establishes a dynamic model of various factors of Industrial Cluster effect through the causal loop diagram also known as the cause-and-effect chain. This study considers four important interactive dimensions of Industrial competitiveness: manpower, technology, money, and market flows. This study also constructs a comprehensive causal loop diagram of the Industrial Cluster effect. All factors in the cause-and-effect chains influence positively the Industrial Cluster effect. The SD approach is adopted to analyze the complicated relationship of factors affecting Industrial Cluster effect. The SD approach is more effective than other methodologies.
Chen Shao-you - One of the best experts on this subject based on the ideXlab platform.
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STUDY ON TOURISM Industrial Cluster IN CHONGQING
Economic Geography, 2006Co-Authors: Chen Shao-youAbstract:Tourism Industrial Cluster is the inevitable process of space development of tourism economy,and is the objective request to strengthen the regional tourism competitive power.Based on evaluation of the present situation of tourism Industrial Cluster in Chongqing,the article discusses the spatial pattern of tourism Industrial Cluster in Chongqing and the agglomeration content in different areas,and puts forward the governmental strategy advancing the agglomeration of tourism industry in Chongqing.
Chinhuang Lin - One of the best experts on this subject based on the ideXlab platform.
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elucidating the Industrial Cluster effect from a system dynamics perspective
Technovation, 2006Co-Authors: Chinhuang Lin, Chiumei Tung, Chihtai HuangAbstract:This study applies the system dynamics (SD) methodology to explore factors affecting the Industrial Cluster effect, which is crucial in determining national and Industrial competitive advantage. A literature review finds few studies that utilize SD to investigate factors affecting the Industrial Cluster effect. In a global business environment, competition is not just between individual companies and supply chains, but also among companies in regional Clusters. The concept of SD, devised by Jay W. Forrester et al, helps mankind realize the variation of a complicated system, and perceive how an internal feedback loop within a system impacts whole system's behavior. This study establishes a dynamic model of various factors of Industrial Cluster effect through the causal loop diagram also known as the cause-and-effect chain. This study considers four important interactive dimensions of Industrial competitiveness: manpower, technology, money, and market flows. This study also constructs a comprehensive causal loop diagram of the Industrial Cluster effect. All factors in the cause-and-effect chains influence positively the Industrial Cluster effect. The SD approach is adopted to analyze the complicated relationship of factors affecting Industrial Cluster effect. The SD approach is more effective than other methodologies.
Wang Xiangping - One of the best experts on this subject based on the ideXlab platform.
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Discussion of Open Innovation Capability of High-tech Industrial Cluster
Science and Technology Management Research, 2013Co-Authors: Wang XiangpingAbstract:The open innovation capability determines the lasting growing up of high-tech Industrial Cluster.By revewing the study of the open innovation,the paper discusses the connotation and capability open innovation of high-tech Industrial Cluster.The paper builds the open innovation capability of high-tech Industrial Cluster based on technology,market,culture and social capital.It points out that the open innovation capability cultivation and promotion of high-tech Industrial Cluster can be realized through the open innovation culture cultivation,the open learning mechanism structure,the policies and regulations improvement.It is of impoint guidance to the innovation growth of our country high-tech Industrial Cluster.