摘要
以我国30个省份滞后4期的科技投入产出数据为基础,运用三阶段DEA模型对各地区科技创新效率及其影响因素进行实证分析。结论为:我国的科技创新效率总体水平不高,具有区域不均衡性,且在同一经济大区域内又具有明显的集中性;各省份的创新资源配置效率较高,但受限于创新资源投入不足的影响,科技创新的综合效率偏低,通过增加创新投入能有效地提高我国的科技创新效率;影响创新效率的外部环境因素中,科技资源的投入弹性系数最大,外商直接投资所造成的技术溢出对我国创新效率提高的作用已不再明显。
This paper analyzes China＇s innovation efficiency and its influencing factors by a three-stage DEA model based on the data with lag relationship. Three conclusions were drawn as follow. First, China＇s overall level of innovation efficiency is not high, and it is highly correlated with the level of economic development. The distribution is highly concentrated in the same economic region in addition to the regional imbalance. Second, although the provincial allocation efficiency of innovation resource is better,China＇s innovation efficiency is still low because of inadequate investment. It can improve the innovation efficiency by increasing investment. Last, the input of technological resources greatly influences to the innovation efficiency. The evidence, which the technology overflow caused by FDI can improve the innovation efficiency, is no longer obvious.
出处
《系统工程》
CSSCI
CSCD
北大核心
2013年第9期98-106,共9页
Systems Engineering
基金
国家社科基金重大项目(10ZD&014)
国家自然科学基金资助项目(711731041)
教育部人文社科项目(09YJA630067
12YJC630079)
安徽省社科规划项目(AHSK11-12D100)
江苏省高校哲学社会科学研究重点项目(2012ZDIXM030)
南京航空航天大学产学研项目(NC2012006)
江苏产业技术研究院项目(BR2012080)
关键词
创新效率
滞后效应
三阶段DEA模型
随机前沿模型
Innovation Effieieney~ Lag Effect~ A Three-stage DEA Model~ Stochastic Frontier Model （SFA）
