摘要
通过对既定产出下的投入要素理想的最小可能性投入之和的最小化,提出了多要素投入效率测定方法,克服了已有研究计算投入效率易受产出不足因素影响或需依赖于要素间转换的局限性,有助于解决定量化的"供给侧"投入结构改革问题。利用2007—2013年22所中国综合类高校面板数据,找出了制约高校科技创新技术效率提高的关键要素,研究表明:人文社科和自然科学两类学科的技术创新的技术无效率情况显著,且效率偏低;知识创新方面,人文社科类学科的人力和资金投入效率相对较高;技术创新方面,自然科学类学科的人力、资金和固定资产投入效率相对较高,且资金达到相对充分的利用;两类学科的知识和技术创新技术效率提升的关键瓶颈在于提高创新人才培养水平。
This paper promotes a multiple factor input efficiency calculation method to get efficiency of every input of given output through the ideal minimum input, which overcomes the drawback in current researches that input ef- ficiency affected by insufficient output factors or depends on the transformation between elements. The method finds out the key elements of restricting efficiency, and solves the problem of the quantitative investment structure deci- sion of supply-side. Then it gets classification technical efficiency evaluation results through a panel data set of 22 comprehensive universities from 2007 to 2013. It shows： in humanities and social science and nature science, the technical inefficiency innovations is significant but it is non-significant in knowledge innovations; the technical effi- ciency innovation is relatively low and different between universities; the knowledge innovations＇ manpower and funds efficiency of humanities and social sciences subjects are higher than natural science subjects but technical in- novation on the contrary ; the technical efficiency of humanities and social science and natural science subjects inno- vation bottleneck mainly lies in inefficient utilization of innovative human resources.
出处
《科技与管理》
2017年第6期46-56,共11页
Science-Technology and Management
基金
国家社会科学基金项目(16BGL060)
中国工业与信息化部财务司项目
大连理工大学基本科研业务费专项项目(DUT16RW206)
关键词
综合类高校
科技创新
多要素投入效率
comprehensive universities
science and technology innovation
multiple factor input efficiency
