摘要
基于不同科技投资渠道的视角,选取政府财政科技投入、企业研发投入、银行科技贷款、研发人员全时当量、科学家与工程师人数作为投入变量;三大专利授权数、技术市场成交额、国外三大检索论文数作为产出变量,采用DEA结合Malmquist指数分析了中国省际科技创新的技术进步和效率,并采用回归分析了资金投入结构与效率的关系。研究表明:从投入要素的利用效率看,政府财政科技投入的利用效率最高,企业研发投入的利用效率次之,银行信贷的利用效率最低,人员投入的效率中等。政府和企业科技投入比重越高,效率越高,但银行科技贷款比重越高,效率越低。企业科技投入所有要素的纯技术效率以及利用效率,呈现出东部地区第一,西部地区第二,中部地区最小的态势,呈现"U"型曲线。从全要素生产率的分解看,近年来科技创新本身的技术进步成效最为显著,技术效率水平总体较高。少数效率以及技术进步较低地区以中西部地区为主。
Selecting government and enterprise S & T input, loan, number of scientists and engineers, R&D personal full-time equivalent jobs as input factors, technology market sales, patents and SCI EI ISTP papers as output factors, this paper makes an analysis of the province S&T innovation efficiency, technical progress and the relationship between input structure and efficiency by using data envelopment analysis and Malmquist. The results show the efficiency rank from high to lower of input factors is government input, enterprise input, R&D FTE and loan. The more ratio of government and enterprise input, the higher the efficiency will be. The more ratio of S&T loan, the lower the efficiency will be. The efficiency of eastern areas is higher than that in the western areas and middle areas. FTP, pure efficiency, scale efficiency and technical efficiency are very high in recent years. Some lower efficiency and technical progress areas are mainly in middle and west areas.
出处
《宁波大学学报（人文科学版）》
2015年第4期87-92,共6页
Journal of Ningbo University：Liberal Arts Edition
基金
宁波市与中国社科院合作共建中心预研究项目"宁波市社会发展的机遇与挑战"(ZX2015000099)
宁波市软科学项目"高新技术企业知识产权评估与融资机制研究--以宁波为例"(2013A10041)
