我国高技术产业技术创新效率的地区差异及影响因素研究

发布时间：2018-06-05 00:36

本文选题：高技术产业 + 技术创新效率　；参考：《江西财经大学》2017年硕士论文

【摘要】：高技术产业属于技术、人才、资金集中度较高的产业,其技术进步和技术创新对我国经济发展方式的转变、产业结构的优化升级以及战略性新兴产业的培育均起着重要的作用。推行创新驱动发展战略,促进高技术产业的进一步发展壮大,促进创新型国家的建设,带动我国经济的快速健康发展。本文是以高技术产业技术创新效率为研究的起点,详细深入分析了我国高技术产业技术创新效率的地区差异及原因,并在以上研究基础上实证检验了高技术产业技术创新效率的影响因素及影响途径,对提高高技术产业技术创新效率提出一些可行性的对策,具体的研究内容如下:第一章是绪论。本章节首先介绍了本文的研究背景、研究意义,接着介绍了本文的研究内容、研究框架,最后总结了本文的主要创新点。第二章是文献综述。本章节主要就国内外关于高技术产业技术创新效率的相关研究、高技术产业技术创新效率的地区差异相关研究、高技术产业技术创新效率的影响因素相关文献研究进行综述。第三章是我国高技术产业技术创新效率的概述。本章节首先就高技术产业及技术创新效率的内涵进行介绍,接着从整体层面、地区层面、行业层面就2002-2014年我国高技术产业Malmquist指数、Malmquist指数因素分解及其增长贡献率进行详细的阐释,最后指出了我国高技术产业创新发展过程中存在的问题。第四章是我国高技术产业技术创新效率的地区差异特征。本章节主要采用全局空间自相关、趋势面分析等方法,利用表格和图形的形式展示了2002-2014年间我国高技术产业技术创新效率的整体特征及趋势面变化,采用ArcGIS软件直观的展示了我国高技术产业技术创新效率的整体区域格局演化图,演化图显示我国整体的创新效率水平仍然不够高,提升的速度不够快,地区创新的活跃度有待进一步提高。第五章是我国高技术产业技术创新效率影响因素的实证分析。本章节主要是基于上一章节的研究结果的基础上,即区域之间创新效率有所差异且整体创新效率不高的研究结果,找出并检验影响我国高技术产业技术创新效率的因素,即创新因素、产业组织因素、制度环境因素和外贸因素,并对以上主要的四种影响因素进行理论论证分析,在此论证的基础上,完成设定模型、汇总变量的度量之后,采用Stata 12.0软件,利用2002-2014年中国28个省份高技术产业技术创新效率等相关数据,对全部变量进行描述性统计分析,并利用固定效应模型,对全国高技术产业技术创新效率的影响因素、分地区技术创新效率的影响因素以及影响因素的影响途径进行回归,在影响因素的实证检验结果中,全国范围内创新绩效变量、创新密集度变量、企业规模变量、外商直接投资变量的回归系数均为正值并通过了显著性检验,政府支持程度变量的回归系数为正值但并没有通过显著性检验;在影响途径的实证检验结果中,创新因素和产业组织因素主要是通过影响产业规模技术效率进而影响产业技术效率,并最终对高技术产业技术创新效率产生影响的;制度环境因素并未对高技术产业技术创新效率产生显著性影响;外贸因素则主要是通过影响产业技术进步最终对高技术产业技术创新效率产生影响的。最后采用逐一添加影响因素的方法进行稳健性检验,通过检验结果可知该实证模型及结果的稳健性和可靠性。第六章是基本结论、对策和展望。本章节先主要就全文的研究结论做个基本总结,一个是在三个层面上我国高技术产业技术创新效率的情况分析,一个是我国高技术产业技术创新效率的地区差异,一个是我国高技术产业技术创新效率的影响因素和影响途径;接着本文就以上实证研究结果相对应提出六点对策意见,即促进创新成果的产业化,建立健全知识产权制度;营造创新氛围,激发创新活力;加强技术引进管理,注重消化吸收再创新;充分利用规模效应,最优化创新效率;调整经济外向度政策,充分发挥技术外溢的正向作用;提高高技术企业的管理水平,促进技术效率的提高;最后本文就研究数据和研究层面这两点不足,对应提出本文的两点展望。
[Abstract]:The high-tech industry belongs to the industry of technology, talent and high concentration of capital. Its technological progress and technological innovation play an important role in the transformation of our economic development mode, the optimization and upgrading of the industrial structure and the cultivation of strategic emerging industries. To promote the construction of innovative country and promote the rapid and healthy development of China's economy. This paper is the starting point of the research on the efficiency of technology innovation in high-tech industries. This paper analyses the regional differences and causes of the efficiency of technology innovation in high technology industry in detail. On the basis of the above research, it empirically tests the efficiency of technology innovation in high-tech industries. Some feasible countermeasures are put forward to improve the efficiency of technology innovation in high-tech industry. The specific research contents are as follows: the first chapter is the introduction. This chapter first introduces the research background and significance of this article, then introduces the research content, the research framework, and finally summarizes the main innovation points of this paper. The second chapter is the literature review. This chapter mainly deals with the related research on the efficiency of high-tech industry innovation at home and abroad, the related research on regional differences in the efficiency of high-tech industry innovation, and the related literature research on the efficiency of high-tech industry technology innovation. The third chapter is the efficiency of Technology innovation in China's high-tech industry. This chapter first introduces the connotation of high technology industry and technological innovation efficiency, and then explains in detail the Malmquist index, Malmquist index factor decomposition and its growth contribution rate of China's high-tech industry from the overall level, the regional level and the industry level for 2002-2014 years. Finally, it points out the high-tech industry innovation in China. The fourth chapter is the regional difference characteristic of the technology innovation efficiency of China's high-tech industry. This chapter mainly uses the global spatial autocorrelation, trend surface analysis and other methods, and shows the overall characteristics and trend surface changes of the technological innovation efficiency of China's high-tech industry in the past 2002-2014 years, using forms and graphics. The ArcGIS software is used to show the overall regional pattern evolution map of the technological innovation efficiency of China's high-tech industry. The evolution map shows that the overall innovation efficiency level of our country is still not high enough, the speed of promotion is not fast enough, and the activity of regional innovation needs to be further improved. The fifth chapter is the influence of the efficiency of technology innovation in China's high-tech industry. This chapter is based on the results of the previous chapter, which is the result of the difference in the efficiency of innovation between regions and the low efficiency of the overall innovation. This chapter finds and examines the factors that affect the efficiency of technological innovation in China's high-tech industries, namely, innovation factors, industrial organization factors, institutional environment factors and external factors. On the basis of the demonstration, the four factors of the above four factors are analyzed theoretically, and after the model is set up and the measurement of the aggregate variables is completed, a descriptive statistical analysis of all the variables is carried out by using the Stata 12 software and using the data of the technical innovation efficiency of the high-tech industries in the 28 provinces of China for 2002-2014 years. Using the fixed effect model, the factors affecting the technological innovation efficiency of the national high-tech industry, the influencing factors of regional technological innovation efficiency and the influencing factors are returned. In the empirical test results of the influencing factors, the innovation performance variable, the innovation intensity variable, the enterprise scale variable, the foreign direct. The regression coefficient of the investment variables is positive and passes the significance test. The regression coefficient of the government support degree variable is positive but does not pass the significance test. In the empirical test result of the influence approach, the innovation factor and the industrial organization factor are mainly influenced by the industrial scale technology efficiency and then influence the industrial technology efficiency. And finally, it has an impact on the efficiency of technology innovation in high-tech industries; institutional environment factors have not had a significant impact on the efficiency of technology innovation in high-tech industries; foreign trade factors are mainly influenced by the impact of industrial technological progress on the efficiency of technological innovation in high-tech industries. Finally, the factors that affect the technological innovation are added one by one. The sixth chapter is the basic conclusion, the countermeasure and the prospect. First, this chapter mainly summarizes the research conclusions of the full text, one is the analysis of the efficiency of technology innovation in China's high-tech industry on the three levels, one is our country. The regional differences in the efficiency of technological innovation in high-tech industries, one is the factors affecting the efficiency of technological innovation in China's high-tech industry and the way to influence it. Then, this paper puts forward six suggestions on the results of the above empirical research, namely, to promote the industrialization of innovation achievements, to establish and improve the intellectual property system, to create an innovative atmosphere and to stimulate innovation. We should strengthen the management of technology introduction, pay attention to digestion and innovation, make full use of scale effect, optimize the efficiency of innovation, adjust the policy of economic extroversion, give full play to the positive effect of technology spillover, improve the management level of high-tech enterprises, and promote the improvement of technical efficiency; finally, this paper is insufficient in the study of data and research level. Two points of view are put forward in this paper.
【学位授予单位】：江西财经大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F276.44;F273.1

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