工商大数据服务福建省产业集群建设研究

发布时间：2018-02-22 18:06

本文关键词： 产业集群工商行政管理大数据数据挖掘　出处：《福建农林大学》2014年硕士论文　论文类型：学位论文

【摘要】：近年来,产业集群展现出蓬勃的发展势头和旺盛的生命力,成为带动区域经济发展的重要力量。地方政府纷纷出台一系列产业集群政策,建立并保持产业集群的竞争优势。然而,在推进产业集群发展的过程中,由于缺少数据的支撑,“两难”或“多难”问题时有发生。基于产业集群在推进区域经济发展的重要地位与作用,论文简要介绍了产业集群发展和大数据的相关概念、基本理论,以及福建工商大数据应用实践、福建省产业集群的发展历程,论述了工商行政管理(以下简称“工商”)大数据的应用基础以及应用价值。在福建工商大数据基础上,利用大数据挖掘和分析方法,研究福建省纺织化纤产业集群的发展情况、企业存活状况和主导力量变化。实证分析结果表明,福建省纺织化纤产业基本上形成了长乐、晋江、石狮三个产业集群,永安市、尤溪县、长汀县等地的纺织化纤业也己具备一定的产业集群基础；产业集群能够提升企业的生存能力,推迟企业死亡高峰期的到来,从而提高企业的存活率；通过对比分析长乐、晋江、石狮三个产业集群的所有制结构,发现各产业集群近几年的主导力量均有所变化,呈现出来的共同特征可概括为：外商投资企业的比重持续下降,私营企业推动作用越来越明显,国有及国有控股企业所起到的推动作用微乎其微。最后,论文就如何运用工商大数据推进福建产业集群建设,提出了树立“大数据”思维,在产业集群决策中以数据说话,促进数据资源的公开、共享,及时调整政策,引导社会公众理性投资的对策和建议。
[Abstract]:In recent years, industrial clusters have shown vigorous development momentum and vitality, and become an important force to promote regional economic development. Local governments have issued a series of industrial cluster policies. To establish and maintain the competitive advantage of industrial clusters. However, in the process of promoting the development of industrial clusters, Because of the lack of data support, the "dilemma" or "more difficult" problems occur from time to time. Based on the important position and role of industrial cluster in promoting regional economic development, the paper briefly introduces the related concepts and basic theories of industrial cluster development and big data. As well as the application practice of Fujian Industrial and Commercial big data, the development course of Fujian industrial cluster, the applied foundation and application value of the industrial and commercial administration (hereinafter referred to as "industry and commerce"), the paper discusses the application basis and applied value of the industrial and commercial administration in Fujian province. By using big data's mining and analysis method, this paper studies the development of textile and chemical fiber industry cluster in Fujian Province, the survival status of enterprises and the change of leading power. The empirical analysis results show that the textile chemical fiber industry in Fujian Province has basically formed Changle, Jinjiang, The textile and chemical fiber industry in Shishi's three industrial clusters, Yongan, Youxi and Changting counties, also has a certain industrial cluster foundation; industrial clusters can enhance the viability of enterprises and delay the arrival of the peak period of enterprise death. Through the comparative analysis of the ownership structure of Changle, Jinjiang and Shishi industrial clusters, it is found that the dominant forces of each industrial cluster have changed in recent years. The common features presented can be summarized as follows: the proportion of foreign-invested enterprises continues to decline, the role of private enterprises is becoming more and more obvious, and the role of state-owned and state-holding enterprises is minimal. On how to use industrial and commercial big data to promote the construction of Fujian industrial cluster, the paper puts forward the idea of "big data", using data to speak in the decision-making of industrial cluster, promoting the openness, sharing and timely adjustment of data resources. The countermeasures and suggestions to guide the rational investment of the public.
【学位授予单位】：福建农林大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F203.9;F49;F121.3

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