本文選題：大數據產業(yè)　切入點：新興產業(yè)　出處：《北京交通大學》2017年碩士論文　論文類型：學位論文

【摘要】：數據已經成為一種重要的生產資源,大數據作為新興產業(yè),其自身的發(fā)展能夠帶動經濟的增長,同時可以通過“數據驅動”的方式推動傳統(tǒng)產業(yè)的轉型升級,對我國經濟實現創(chuàng)新發(fā)展具有重要的意義。但是大數據產業(yè)是近幾年提出來的新概念,相關研究目前還不完善,對于大數據產業(yè)發(fā)展影響因素的方面研究比較少,也未能有學者構建系統(tǒng)地大數據產業(yè)發(fā)展影響因素的評價指標體系。同時大數據產業(yè)在我國發(fā)展呈現了一條與傳統(tǒng)產業(yè)并不相似的發(fā)展路徑:在產業(yè)基礎薄弱的貴州省,大數據產業(yè)發(fā)展迅猛。由此可以見,大數據產業(yè)可能與傳統(tǒng)產業(yè)有著不同的發(fā)展影響因素。本文首先分析了大數據、云計算和物聯網的關系以及大數據產業(yè)形成的內在機制,界定了本文的研究對象。在新興產業(yè)發(fā)展影響因素理論的基礎上,結合大數據產業(yè)的特征,對大數據產業(yè)發(fā)展的影響因素進行了深入的分析,從技術因素、人才因素、資金資本因素、商業(yè)模式因素、市場規(guī)模因素、政策環(huán)境因素以及基礎設施因素等7個方面建立了大數據產業(yè)發(fā)影響因素的指標體系。再次,通過調查問卷方式調研了大數據產業(yè)相關的從業(yè)或者研究人員獲得數據,采用因子分析的方法,提取了三個公共因子,分別是內在價值因子、外部環(huán)境因子以及產業(yè)基礎因子。并且根據因子得分得到了我國大數據產業(yè)發(fā)展影響因素的指標權重,實證結果表明:對于我國大數據產業(yè)發(fā)展的影響因素,按照其重要程度依次是技術因素、高端人才因素、商業(yè)模式因素、資金資本因素以及政策環(huán)境因素,而基礎設施因素和市場規(guī)模因素我國大數據產業(yè)的發(fā)展影響比較小。相對于傳統(tǒng)產業(yè)而言,基礎設施因素和市場規(guī)模因素對于大數據產業(yè)發(fā)展的重要作用并未體現,可能的原因是互聯網能夠大大降低時空成本,產業(yè)鏈條在空間上的分布比較松散,對于大數據產業(yè)發(fā)展起支撐作用的產業(yè)可以分布在不同的地方,因此,基礎設施因素對于大數據產業(yè)的發(fā)展影響的作用被弱化了;大數據產業(yè)的產品是知識而非物理形態(tài)的產品,通過互聯網的運輸,市場邊界極大程度地擴大了,市場因素不再是決定大數據產業(yè)集聚的關鍵因素。接下來,根據大數據產業(yè)發(fā)展的影響因素對比分析得出,國內外大數據產業(yè)發(fā)展的有共同的影響因素:大數據技術研發(fā)、大數據資本投入、大數據人才的培養(yǎng)、大數據產品的應用、大數據交易平臺、國家層面的大數據產業(yè)政策、數據隱私保護相關的法律法規(guī)以及政府大數據開放力度。貴州省能夠發(fā)展大數據產業(yè)不僅僅是憑借著能源和地理優(yōu)勢,同時抓住了以上大數據產業(yè)發(fā)展的關鍵影響因素,這對于產業(yè)基礎相對落后的區(qū)域實現創(chuàng)新發(fā)展有一定的啟示作用。最后,基于前面的分析結果,針對我國大數據產業(yè)發(fā)展的5項關鍵影響因素提出針對性的建議,并指出本文的不足之處和研究展望。
[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.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F49
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本文編號：1563114