云南省知识密集型服务业发展现状及趋势研究

发布时间：2018-04-23 01:36

本文选题：知识密集型服务业 + 内部结构　；参考：《昆明理工大学》2012年硕士论文

【摘要】：21世纪,人类进入了知识经济时代。知识呈现出翻天覆地的变化,其在整个世界范围内的频繁流动,大大推进了全球经济一体化的进程。今天,全球经济正发生着巨大的变化,其标志是以知识化为特征的新的经济增长点的出现,知识产业蓬勃发展,正在成为经济发展新的强劲动力,知识密集型服务业(knowledge-intensive business service, KIBS)是知识产业的重要组成部分之一,更是出现了前所未有的发展势头。虽然在西方发达国家尤其是美国和欧盟等国家对知识密集型服务业研究早已成为热点问题,但是我国对知识密集型服务业的研究仍然处于起步阶段,还不够重视知识密集型服务业在我国经济体系中的主体地位,并且与其相关的统计分类、数据和调研资料也都不完善。对于云南省而言,服务业内部结构不尽合理,传统服务行业依然占据主导地位,其所占比重接近60%,而依据西方发达国家的先进经验,对经济的拉动作用最为显著的就是知识密集型服务业。因此,发展服务业,尤其是发展和提升知识密集型服务业对于调整云南省的产业结构、促进当地的经济发展具有及其重要的意义。正是在这样的情况下,就更加应该加快对知识密集型服务业的研究,因此对其研究也具有格外重要的理论意义和现实价值。本文紧紧围绕云南省知识密集型服务业发展这一主题,采用定性描述与定量分析相结合的研究方法,对云南省知识密集型服务业发展现状和趋势做了研究。本文首先对其概念、特征及分类进行了研究,认为知识密集型服务业是以高度依赖专业知识和技术为基础,以高度知识化人员为保障,以与客户高度互动为手段,以高度创新为核心的公司或组织。之后根据本文的研究内容对知识密集型服务业做了分类,将其分为四大行业,具体包括信息传输、计算机服务和软件业,金融业,租赁和商务服务业和科学研究、技术服务和地质勘查业。之后根据历年的统计数据和访谈的资料对云南省知识密集型服务业的总体现状进行了分析,并详细对四大行业发展情况作了细致的阐述,对存在的问题进行了分析。最后,运用时间序列法和灰色系统模型对云南省知识密集型服务业的发展做了预测,并对云南省知识密集型服务业的发展分别从人才的集聚、知识密集型服务业的专业化发展、创造良好的市场环境、调整内部结构和健全统计体系五个方面提出了切实可行的建议。
[Abstract]:In the 21 st century, mankind has entered the era of knowledge economy. Knowledge presents tremendous changes, and its frequent flow throughout the world has greatly promoted the process of global economic integration. Today, great changes are taking place in the global economy, marked by the emergence of a new economic growth point characterized by knowledge, and the vigorous development of the knowledge industry, which is becoming a new and strong driving force for economic development. KIBS (knowledge intensive business Service) is one of the important parts of the knowledge industry, and it also has an unprecedented development momentum. Although the research on knowledge-intensive services has long been a hot issue in western developed countries, especially in the United States and the European Union, the research on knowledge-intensive services in China is still in its infancy. Not enough attention has been paid to the dominant position of knowledge-intensive service industry in China's economic system, and its related statistical classification, data and research data are not perfect. For Yunnan Province, the internal structure of the service industry is not entirely reasonable. The traditional service industry still occupies a dominant position, its proportion is close to 60 percent, and according to the advanced experience of the western developed countries, The most significant pull to the economy is the knowledge-intensive service industry. Therefore, the development of service industry, especially the development and promotion of knowledge-intensive service industry, is of great significance in adjusting the industrial structure of Yunnan Province and promoting the local economic development. It is in this situation that we should speed up the research of knowledge-intensive service industry, so the research on it is of great theoretical significance and practical value. Focusing on the theme of the development of knowledge-intensive service industry in Yunnan Province, this paper studies the present situation and trend of the development of knowledge-intensive service industry in Yunnan Province by combining qualitative description with quantitative analysis. Firstly, this paper studies its concept, characteristics and classification. It is considered that the knowledge-intensive service industry is based on highly dependent professional knowledge and technology, protected by highly knowledgeable personnel, and highly interacted with customers. A company or organization with a high degree of innovation at its core. Then, according to the research content of this paper, the paper classifies the knowledge-intensive service industry into four industries, including information transmission, computer service and software industry, finance industry, lease and business service industry and scientific research. Technical services and geological survey industry. Then, according to the statistical data and interview data over the years, this paper analyzes the overall situation of the knowledge-intensive service industry in Yunnan Province, and elaborates the development of the four major industries in detail, and analyzes the existing problems. Finally, the development of knowledge-intensive service industry in Yunnan Province is predicted by using time series method and grey system model, and the development of knowledge-intensive service industry in Yunnan Province from the talent gathering, the specialized development of knowledge-intensive service industry, respectively. Some practical suggestions are put forward in five aspects: creating a good market environment, adjusting the internal structure and perfecting the statistical system.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：F719

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