摘要
现有的R&D效率研究中存在2个问题:忽略R&D过程内部生产结构;仅仅使用相对有效性作为影响因素研究的因变量。在考虑R&D过程内部结构的同时,综合运用并联DEA模型、Luenberger生产率指数和面板数据模型3种方法,计算具有时序上可比的Luenberger R&D生产率变化指数,并采用面板数据模型的方法对影响R&D效率变化的因素进行研究。研究发现我国各个省份的R&D效率普遍在稳步提升,且R&D效率的提高主要是由"技术进步"引起的。企业已经成为了R&D过程的主体,企业R&D效率的提升对总过程R&D效率提升的贡献最大。经济发展水平(人均GDP)和金融服务对R&D活动的支持(金融环境)是对R&D效率提升影响最大的2个因素。
The existing literature, which focuses on R＆D efficiency, has two problems. First, internal structure of R＆D process is neglected. Second, the scores of relative efficiency, which cannot be compared between different period, are used as independent variable. By integrating DEA for parallel production system, Luenberger productivity change index and panel data model together, this manuscript considers internal structure of R＆D process and calculates Luenberger R＆D productivity change index, which can be compared between different periods. The fac- tors which affect R＆D efficiency are explored too. We find that each province exhibits an increasing R＆D efficiency. The increase of R＆D efficiency mainly attributes to ＇technical progress＇. Enterprises have become main part of R＆D process. The increase of R＆D efficiency of total-process mainly attributes to the increase of R＆D efficiency of the enterprises sub-process. Per Capita GDP and financial environment are the most significant factors which influence the change of R＆D efficiency.
出处
《科学学与科学技术管理》
CSSCI
北大核心
2016年第4期79-88,共10页
Science of Science and Management of S.& T.
