基于数据包络分析法的山东省科技投入绩效评价研究

发布时间：2018-02-24 14:39

本文关键词： 科技投入绩效评价数据包络分析法灰色关联度分析法　出处：《山东大学》2017年硕士论文　论文类型：学位论文

【摘要】：当今世界,科技创新在发展一国经济、提升综合国力的过程中作用愈发重要。改革创新是实现"伟大复兴"战略目标不可或缺的宏大推动力;同时也是构建技术强国,推动我国经济又快又好向前发展这一伟大的战略复兴目标的关键。关于技术投入的绩效最终究竟如何,能否实现最优化产出的问题,都需要在现实的决策过程时作出强有力的回答。基于此,研究科学技术投入产出的人绩效,让原本有限的投入资源产出价值最大化,具有非常重要的意义。本文构建了一套科学技术绩效的评价体系,并对2006至2015年山东省的科学技术活动的绩效进行了实证,在文章最后基于研究分析的结果给出了一些对山东省具有实际意义的相关政策建议。本文由五个部分构成。第一部分阐述了科学技术投入绩效评价的实际意义并总结了目前国内国际上相关研究成果,以及本文的大体思路;第二部分,对科学技术投入绩效的相关概念进行了阐述,初步选中10个指标作为本次研究的初步指标。第三部分是本文的核心,首先介绍了 PCA方法、灰色相关分析法以及DEA数据包络分析法的基本原理,并结合前两种方法对上一章形成的10个初级指标进行进一步筛选,最终留下5个评价指标,进而利用DEA法。第四章是以第三章所述方法对山东省科学技术投入绩效展开实证分析。第五章,针对第四章实证研究得到的结果对山东省科技技术投入工作提供一些应对措施和建议,期望能够为相关决策部门提供参考。
[Abstract]:In today's world, scientific and technological innovation plays an increasingly important role in the process of developing a country's economy and enhancing its comprehensive national strength. The key to the great strategic rejuvenation goal of promoting the rapid and sound development of China's economy is the question of how the performance of the technical input will ultimately be achieved and whether the optimal output can be achieved. Based on this, we study the human performance of science and technology input-output, so as to maximize the value of the original limited input resources and outputs. This paper constructs a set of science and technology performance evaluation system, and carries on the demonstration to the Shandong Province science and technology activity performance from 2006 to 2015. At the end of the paper, based on the results of the research and analysis, some relevant policy suggestions are given. This paper is composed of five parts. The first part expounds the practical significance of the performance evaluation of scientific and technological input. Summarized the current domestic and international related research results, In the second part, the related concepts of scientific and technological input performance are expounded, and 10 indicators are selected as the primary indicators of this study. The third part is the core of this paper. Firstly, the PCA method is introduced. The basic principle of grey correlation analysis and DEA data envelopment analysis, and combined with the first two methods, the 10 primary indexes formed in the previous chapter were further screened, and 5 evaluation indexes were left behind. Then using DEA method. 4th chapter is the empirical analysis of Shandong province science and technology investment performance with the method described in chapter three. 5th chapter, Based on the results of the empirical study in Chapter 4th, this paper provides some countermeasures and suggestions for scientific and technological input in Shandong Province, which is expected to be a reference for relevant decision-making departments.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F224;F124.3

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