我国高校拔尖创新人才培养效率研究

发布时间：2018-06-15 14:26

本文选题：拔尖创新人才 + 数据包络分析(DEA)　；参考：《西南交通大学》2012年硕士论文

【摘要】：高校是一个孕育人才的摇篮,纵观世界科技飞速发展的今天,高等教育强国纷纷经历了人才数量竞争、人才质量竞争、再到拔尖创新人才质量竞争这一系列过程。新科技形势下的当今国际上,拔尖创新人才发挥直接关系到国家的兴衰。在我国高校从精英教育到全民教育的探索走了近10年的时间,而在从人力资源大国向人力资源强国转变过程中,拔尖创新人才依旧没有登上世界人才资源的高峰。《国家中长期教育改革和发展规划纲要(2010—2020年)》指出,在人才培养体制改革上要更新人才培养观念、创新人才培养模式、改革教育质量评价和人才评价制度,因此以高校以往的拔尖创新人才培养来看,和发达国家来存在一定的差距,有关拔尖创新人才培养的对策建议无法从微观层面对实际行动进行指导,因此从效率角度来探究其的资源配置显得非常重要。通过对拔尖创新人才培养计划的投入产出效率研究,可以有效地为高校的建设提供方向和依据。本文根据高校拔尖创新人才培养计划投入和产出特点,建立了高校拔尖创新人才培养计划的投入和产出评价指标体系,并运用数据包络分析(DEA)方法,对我国24所教育部样本高校拔尖创新人才培养进行效率评价,给出了非DEA有效高校拔尖创新人才培养相关指标的投入冗出量和产出不足量。研究主要结论如下： 1.在24所样本高校中,DEA有效高校为17所,非DEA有效高校为7所,占评价高校总数的比例分别为72%和28%,说明这24所样本高校拔尖创新人才投入产出效率总体而言较高。 2.从我国高校拔尖创新人才规模效率上看,24所高校中,有17所高校拔尖创新人才培养规模效率处于不变状态,有3所高校拔尖创新人才培养规模效率处于递减状态,有4所高校拔尖创新人才培养规模效率处于递增状态,所占比例分别约为70.8%,21.9%,8.3%。这表明,从总体上看,大部分高校拔尖创新人才培养的规模效率都处于不变或者递增状态。 3.本文通过投影分析,计算得出了3所非DEA有效(综合技术效率与纯技术效率值均不为1)的高校拔尖创新人才的投入可减少量和产出可增加量,并且根据相对有效的高校得出了各个非DEA有效高校拔尖创新人才的目标投影值。
[Abstract]:Colleges and universities are a cradle of talented people. Looking at the rapid development of science and technology in the world today, the great powers of higher education have experienced a series of process of the number of talents, the quality of talent competition, and the quality competition of the top innovative talents. In the new technology situation, the rise and fall of the country is directly related to the rise and fall of the talented people in the new technology situation. The exploration of Chinese colleges and universities from elite education to education for all has taken nearly 10 years. In the process of transforming human resources to human resources, the top-notch innovative talents still have not reached the peak of the world's talent resources. "The national medium and long term education reform and development plan (2010 to 2020) > points out that the training system for talents is in the system." In the reform, we should renew the concept of talent training, innovate the training mode of talents, reform the evaluation of education quality and the system of talent evaluation. Therefore, there is a certain gap between the advanced and innovative talents in the past, and the Countermeasures for the cultivation of the top innovative talents can not be guided by the actual action from the micro level. Therefore, it is very important to explore the allocation of resources from the perspective of efficiency. Through the study of the input-output efficiency of the top-notch innovative talent training program, it can provide the direction and basis for the construction of colleges and universities effectively.
Based on the input and output characteristics of the top-notch innovative talents training program in Colleges and universities, the input and output evaluation index system of the top-notch innovative talents training program in Colleges and universities is set up, and the efficiency evaluation of the training of the top innovative talents in the 24 Education Ministry of our country is evaluated by using the method of data envelopment analysis (DEA), and the non DEA effective colleges and universities are drawn out. The main conclusions are as follows: 1.
1. of the 24 samples of colleges and universities, 17 of DEA effective colleges and 7 of non DEA effective colleges and universities accounted for 72% and 28% of the total number of colleges and universities, which indicated that the input-output efficiency of the top-notch innovative talents in the 24 samples was generally higher.
2. in terms of the scale efficiency of the top-notch innovative talents in China's colleges and universities, in 24 universities, 17 colleges and universities are in the same state of scale efficiency, and the efficiency of the top innovative talents training in 3 colleges and universities is decreasing, and the efficiency of the top innovative talents training in 4 colleges is in an increasing state, the proportion of which is about 7, respectively. 0.8%, 21.9%, 8.3%. shows that, in general, the scale efficiency of top notch innovative talents training in most universities is still unchanged or increasing.
3. in this paper, through projection analysis, we have calculated 3 non DEA effective (comprehensive technical efficiency and pure technical efficiency value not 1), which can reduce and increase the output of the top innovation talents in Colleges and universities. And according to the relatively effective colleges and universities, the target projection values of the top innovative talents of various non DEA effective colleges and universities are obtained.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：G642

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