摘要
使用数据包络分析方法(DEA)对我国31个省市自治区2002~2006年的区域技术创新效率进行了分析,结果显示,我国区域技术创新效率虽呈上升趋势,但总体水平较差,且存在较为明显的地区差异。进一步用面板数据建立固定效应模型分析创新环境对区域技术创新效率的影响,结果表明:基础设施、市场需求、劳动者素质、金融环境对区域技术创新效率有显著影响,而创业水平对区域技术创新效的影响在统计上不显著,但系数仍是正的,并提出相应政策建议。
Using Data Envelopment Analysis (DEA) to analyze regional technical innovation efficiency of Chinag 31 provinces from 2002 -2006, this paper gets the result which shows that Chinag regional technical innovation efficiency is an upward trend, but the overall level is poor, and the regional differences are more obvious, the region should formulate relevant policies in light of local conditions and improve innovation output with a view to reducing regional economic disparities. Further with the establishment of a fixed panel data model, it analyzes the innova- tive environmental effects of the regional impact on the efficiency of technological innovation, the results show that : infrastructure, market demand, the quality of workers and financial environment for regional technological innovation efficiency all have significant impact on the regional level and entrepreneurial technological innovation. The impact of the statistical validity is not significant, but the coefficient is still positive. At last, appropriate policy recommendations are proposed.
出处
《软科学》
CSSCI
2008年第12期123-127,共5页
Soft Science
关键词
创新环境
区域技术创新效率
数据包络分析
固定效应模型
innovation environment
regional technological innovation efficiency
DEA
the panel data model