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The Research Of The Formation Mechanism And The Special Evolution For Logistics Industry Cluster

Posted on:2017-01-06Degree:MasterType:Thesis
Country:ChinaCandidate:L L HuangFull Text:PDF
GTID:2309330485983345Subject:Logistics Engineering
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With the development of high and new technology, logistics plays an increasingly important role in the social and economic development, which is called the third profit source of enterprises. Logistics industry in our country has obtained achievements under the country’s support, but also shows problems such as substandard markets, the lack of overall coordination, the high logistics cost and so on. In order to solve these problems, our country has planned and supported the construction of Logistics Park in the whole country. Logistics Park shows it’s limitations due to the imperfect theoretical guidance. With the development of the economic globalization, the subject of competition has risen to the industry level from enterprise. Industry cluster shows distinctive competition advantage because of considering the entire development for a particular area, so it has made an important contribution to the economic development of regions and countries. So industry cluster has been got more and more attention. Therefore, this paper will study the formation mechanism and the spatial structure evolution for logistics industry cluster on the basis of economic theory, which will provide new perspectives on the development of modern logistics industry and also provide theoretical support and method guidance to improve the competitiveness and management level for logistics enterprises.First, this paper puts forward the spatial agglomeration mechanism for the formation of logistics industry cluster based on the specialized division of labor theory and constructs a division of labor evolution model for logistics industry cluster. The analysis result shows that when the companies’number participating in the division of labor equals to the services’ number, the more the number is, the higher degree of spatial agglomeration. And the paper also puts forward the symbiotic agglomeration mechanism for the formation of logistics industry cluster based on symbiosis theory and builds an optimization model for the logistics chain. The analysis result shows that the symbiotic agglomeration brings benefit multiplication phenomena.Then, this paper analyzes self-organization process for the spatial structure evolution of logistics industry cluster from the perspective of time and space. It also simulates the process of spatial structure evolution of logistics industry cluster. And analyzes the features for the spatial structure evolution of logistics industry cluster based on the simulation results.Finally, this paper applies the research to the study of the logistics industry cluster for Chengdu. The result shows that Chengdu has formed the logistics industry cluster and it has been experiencing the process from gather to spread then to gather. The logistics cluster of Chengdu presents a tendency of convergence agglomeration. The agglomeration level shows fluctuations in growth. And the cluster structure changes from the single center structure to the multicenter structure. In the future, the logistics cluster structure will be a formation of circular cluster structure. And the key development areas of emerging industry, information industry and automobile industry will become the cluster center.Although this paper puts forward the forming mechanism of logistics industrial clusters, it just can analyzes from model describe or numerical example because it is difficult to obtain enterprises’logistics data. And because of the imperfect logistics data statistics in China, the way to study the evolution of spatial structure can only be applied to a big space. Therefore, how to obtain new logistics data in practice or change the known data into needed data will be the research emphasis in next phase.
Keywords/Search Tags:kLogistics industry cluster, Evolution of spatial structure, Spatial agglomeration mechanism, Symbiotic agglomeration mechanism, Spatial statistical analysis
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