我国大数据产业发展的影响因素研究

发布时间：2018-03-03 23:14

  本文选题：大数据产业　切入点：新兴产业　出处：《北京交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：数据已经成为一种重要的生产资源,大数据作为新兴产业,其自身的发展能够带动经济的增长,同时可以通过“数据驱动”的方式推动传统产业的转型升级,对我国经济实现创新发展具有重要的意义。但是大数据产业是近几年提出来的新概念,相关研究目前还不完善,对于大数据产业发展影响因素的方面研究比较少,也未能有学者构建系统地大数据产业发展影响因素的评价指标体系。同时大数据产业在我国发展呈现了一条与传统产业并不相似的发展路径:在产业基础薄弱的贵州省,大数据产业发展迅猛。由此可以见,大数据产业可能与传统产业有着不同的发展影响因素。本文首先分析了大数据、云计算和物联网的关系以及大数据产业形成的内在机制,界定了本文的研究对象。在新兴产业发展影响因素理论的基础上,结合大数据产业的特征,对大数据产业发展的影响因素进行了深入的分析,从技术因素、人才因素、资金资本因素、商业模式因素、市场规模因素、政策环境因素以及基础设施因素等7个方面建立了大数据产业发影响因素的指标体系。再次,通过调查问卷方式调研了大数据产业相关的从业或者研究人员获得数据,采用因子分析的方法,提取了三个公共因子,分别是内在价值因子、外部环境因子以及产业基础因子。并且根据因子得分得到了我国大数据产业发展影响因素的指标权重,实证结果表明:对于我国大数据产业发展的影响因素,按照其重要程度依次是技术因素、高端人才因素、商业模式因素、资金资本因素以及政策环境因素,而基础设施因素和市场规模因素我国大数据产业的发展影响比较小。相对于传统产业而言,基础设施因素和市场规模因素对于大数据产业发展的重要作用并未体现,可能的原因是互联网能够大大降低时空成本,产业链条在空间上的分布比较松散,对于大数据产业发展起支撑作用的产业可以分布在不同的地方,因此,基础设施因素对于大数据产业的发展影响的作用被弱化了;大数据产业的产品是知识而非物理形态的产品,通过互联网的运输,市场边界极大程度地扩大了,市场因素不再是决定大数据产业集聚的关键因素。接下来,根据大数据产业发展的影响因素对比分析得出,国内外大数据产业发展的有共同的影响因素:大数据技术研发、大数据资本投入、大数据人才的培养、大数据产品的应用、大数据交易平台、国家层面的大数据产业政策、数据隐私保护相关的法律法规以及政府大数据开放力度。贵州省能够发展大数据产业不仅仅是凭借着能源和地理优势,同时抓住了以上大数据产业发展的关键影响因素,这对于产业基础相对落后的区域实现创新发展有一定的启示作用。最后,基于前面的分析结果,针对我国大数据产业发展的5项关键影响因素提出针对性的建议,并指出本文的不足之处和研究展望。
[Abstract]:Data has become an important production resource. Big data, as a new industry, can promote economic growth by its own development and promote the transformation and upgrading of traditional industries by means of "data-driven". However, big data industry is a new concept put forward in recent years. The related research is not perfect at present, and there is little research on the influencing factors of big data industry development. No scholars have been able to establish a systematic evaluation index system for the factors affecting big data's industrial development. At the same time, big data industry in China has presented a development path that is not similar to that of traditional industries: in Guizhou Province, where the industrial base is weak, Big data's industry is developing rapidly. From this, we can see that big data industry may have different factors affecting the development of traditional industries. This paper first analyzes the relationship between big data, cloud computing and the Internet of things, as well as the internal mechanism of the formation of big data industry. On the basis of the theory of the influencing factors of the development of emerging industries, combined with the characteristics of big data industry, this paper makes an in-depth analysis of the influencing factors of the industrial development of big data, from the technical factors, talent factors, Capital factor, business model factor, market scale factor, policy environment factor and infrastructure factor, etc., have established the index system of big data industry development factor. Again, Through the questionnaire survey of big data industry related practitioners or researchers to obtain data, using factor analysis method, extracted three common factors, one is the intrinsic value factor. According to the factor score, we get the index weight of the influencing factors of big data's industrial development. The empirical results show that: for the industrial development of big data in China, According to the degree of importance, they are technological factors, high-end talent factors, business model factors, capital factors and policy environment factors. However, the infrastructure factors and market scale factors have little influence on the development of big data industry in China. Compared with the traditional industries, infrastructure factors and market scale factors do not reflect the important role of the infrastructure factors and market scale factors in the industrial development of big data. The possible reason is that the Internet can greatly reduce the space-time cost, the industrial chain is relatively loose in space, and the industries that play a supporting role in the development of big data's industry can be distributed in different places. The role of infrastructure factors in the development of big data's industry has been weakened; big data's products are products of knowledge rather than physical form, and the market boundaries have been greatly expanded through the transportation of the Internet. Market factors are no longer the key factors that determine big data's industrial agglomeration. Next, according to the comparative analysis of the influencing factors on the industrial development of big data, it is concluded that there are common influencing factors in the industrial development of big data at home and abroad: the technological research and development of big data. Big data's investment in capital, the cultivation of talent for big data, the application of big data's products, the trade platform of big data, and the industrial policy at the national level. The laws and regulations related to the protection of data privacy and the opening up of big data, the government. Guizhou Province can not only rely on its energy and geographical advantages, but also grasp the key factors that affect the development of the big data industry. Finally, based on the above analysis results, the paper puts forward some specific suggestions on the five key factors affecting the industrial development of big data in China. And points out the deficiency and research prospect of this paper.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F49
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本文编号：1563114