中国高技术产业技术创新效率的区域差异性及影响因素研究

发布时间：2018-03-12 18:32

本文选题：高技术产业　切入点：技术创新效率　出处：《广东外语外贸大学》2017年硕士论文　论文类型：学位论文

【摘要】：本文基于运筹学和计量经济学的相关理论和方法,对中国高技术产业技术创新效率的区域差异性及主要影响因素进行实证研究,从而得出结论并提出了相关政策建议。首先,本文对国内外关于技术创新的相关理论和文献进行了归纳和总结,了解到以往学者在中国高技术产业技术创新效率研究方面的现状和不足,从而引出本文的研究内容和意义。然后,通过相关指标的描述性统计,分析了中国高技术产业发展和技术创新的现状,以及各地区在技术创新方面的差异性。在此基础之上,运用三阶段DEA模型对中国高技术产业的技术创新效率进行实证测度。具体来说,实证研究分为三个阶段进行:第一阶段,运用DEA模型对中国各省市高技术产业2009-2015年的技术创新效率进行初次评价和分析;第二阶段运用SFA模型对第一阶段的松弛变量进行环境影响因素的研究,从而得到环境调整后的投入变量;第三阶段,再次运用DEA模型进行分析,从而得到剔除环境影响和随机干扰的技术效率值。最后,通过对中国高技术产业的技术创新效率的区域差异性进行分析,得出结论并提出相关政策建议。研究结果表明,中国高技术产业技术创新存在明显的区域差异,呈现出由东部地区往中部地区、东北地区、西部地区逐渐递减的现象。具体地讲,技术创新效率的区域差异性主要表现在规模效率方面,纯技术效率引起的差异性相对较小,但也较为明显。在环境影响因素方面,SFA模型的回归结果表明,在政府研发支持、所有制结构、市场结构、企业规模、出口强度和地理位置等六个环境影响因素中,仅市场结构因素对中国高技术产业技术创新效率起到促进作用,而其他因素则对效率值的提升产生了不利影响。
[Abstract]:Based on the relevant theories and methods of operational research and econometrics, this paper makes an empirical study on the regional differences and main influencing factors of the technological innovation efficiency of China's high-tech industries, and then draws a conclusion and puts forward some relevant policy recommendations. This paper sums up and summarizes the relevant theories and literatures about technological innovation at home and abroad, and finds out the current situation and deficiency of the previous scholars' research on the efficiency of technological innovation in China's high-tech industries. Then, through descriptive statistics of relevant indicators, the paper analyzes the current situation of high-tech industry development and technological innovation in China, and the differences in technological innovation in different regions. Using the three-stage DEA model to measure the technological innovation efficiency of China's high-tech industry. Specifically, the empirical research is divided into three stages: the first stage, The DEA model is used to evaluate and analyze the technological innovation efficiency of high-tech industries in various provinces and cities of China from 2009 to 2015. In the second stage, the environmental impact factors of the relaxation variables in the first stage are studied by using the SFA model. In the third stage, the DEA model is again used to analyze the input variables, and the technical efficiency value of eliminating the environmental impact and random interference is obtained. Finally, By analyzing the regional differences of technological innovation efficiency in China's high-tech industries, the paper draws a conclusion and puts forward relevant policy recommendations. The research results show that there are obvious regional differences in technological innovation in China's high-tech industries. The regional difference of technological innovation efficiency is mainly manifested in scale efficiency, and the difference caused by pure technical efficiency is relatively small. The regression results of SFA model show that, among the six environmental factors, such as government R & D support, ownership structure, market structure, enterprise size, export intensity and geographical location, The factors of market structure only promote the efficiency of technological innovation in China's high-tech industries, while other factors have a negative impact on the improvement of efficiency.
【学位授予单位】：广东外语外贸大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F276.44;F124.3

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