家具产业集群网络结构与性能研究

发布时间：2019-02-15 14:20

【摘要】： 家具产业集群作为一种有竞争力的经济组织形式,既是研究的热点,也是促进国家和地域经济快速发展,参与行业间激烈竞争的有效方法。本文在我国家具产业集群亟需升级的背景下,结合生态学、遗传学、生物学、社会网络理论、复杂网络理论,提出了家具产业集群网络形成的结构模型,对典型家具产业集群网络性能进行了分析和实证。本文采用改进的区位商法来识别产业集群,结果表明,家具产业在苏州和常州市均形成了比较明显的产业集群现象。在对产业集群进行演化分析时,本文模拟了产业集群网络在金融危机冲击下的演变,仿真结果表明中国家具必须勇敢面对金融危机的挑战,利用这次机遇调整产业结构。本文对典型家具产业集群网络结构的形成进行了仿真。在分析家具产业集群网络的性能时,主要考察其知识流动性、鲁棒性和竞争力。在生成典型产业集群网络结构基础上,再进行知识流动性的仿真,并对结果进行比较分析。在分析家具产业集群网络的鲁棒性时,本文首先建立典型产业集群网络的模型,再通过不同的模拟攻击手段来分析网络的鲁棒性。另外提出了产业集群网络的竞争力评价体系。在实证分析中,本文选取南京、温州、上海三个城市的家具产业集群网络进行了结构比较,并进行了知识流动性、鲁棒性和竞争力分析。实证与仿真结果相比较,表明南京家具产业集群网络属于“离散型”的结构,温州和上海的为“卫星型”结构。后两者的知识流动性相对较好。但面对蓄意攻击时南京和温州的鲁棒性较差,而上海的鲁棒性最好。论文最后提出了优化产业集群网络结构的思路,以及提升家具产业集群水平的建议。
[Abstract]:As a competitive form of economic organization, furniture industry cluster is not only a hot spot of research, but also an effective method to promote the rapid development of national and regional economy and to participate in the fierce competition among industries. In this paper, under the background of urgent upgrading of furniture industry cluster in China, combined with ecology, genetics, biology, social network theory and complex network theory, the paper puts forward the structure model of furniture industry cluster network. The network performance of typical furniture industry cluster is analyzed and proved. In this paper, the improved location quotient method is used to identify the industrial clusters. The results show that the furniture industry has formed an obvious industrial cluster phenomenon in both Suzhou and Changzhou. When analyzing the evolution of industrial clusters, this paper simulates the evolution of industrial cluster networks under the impact of the financial crisis. The simulation results show that China must face the challenges of the financial crisis bravely, and take advantage of this opportunity to adjust the industrial structure. In this paper, the formation of typical furniture industry cluster network structure is simulated. When analyzing the performance of furniture industry cluster network, the knowledge fluidity, robustness and competitiveness of furniture industry cluster network are investigated. Based on the generation of typical industrial cluster network structure, the simulation of knowledge fluidity is carried out, and the results are compared and analyzed. When analyzing the robustness of furniture industry cluster network, this paper first establishes the model of typical industrial cluster network, and then analyzes the robustness of the network through different simulation attack methods. In addition, the competitiveness evaluation system of industrial cluster network is put forward. In the empirical analysis, this paper compares the structure of furniture industry cluster network in Nanjing, Wenzhou and Shanghai, and analyzes the knowledge fluidity, robustness and competitiveness. Compared with the simulation results, it shows that Nanjing furniture industry cluster network belongs to "discrete" structure, and Wenzhou and Shanghai are "satellite type" structure. The latter two knowledge fluidity is relatively good. But in the face of deliberate attacks, Nanjing and Wenzhou are less robust, while Shanghai is the best. Finally, the paper puts forward the idea of optimizing the network structure of industrial cluster and the suggestion of improving the level of furniture industry cluster.
【学位授予单位】：南京林业大学
【学位级别】：博士
【学位授予年份】：2010
【分类号】：F426.88;F279.2

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