摘要
本文基于创新系统理论,采用DEATobit两步法对我国30个省、市、自治区农业创新系统效率进行了比较,并根据评价结果构建多元线性回归模型,分析创新效率的影响因素。计量分析结果表明,农村基础教育水平和自然灾害对区域农业创新系统具有显著影响,而政府科技经费并不是显著影响因素。作者建议通过改善教育条件,提高农业产业化程度等改善系统效率,促进区域发展。
From the perspective of Innovation System, the paper defined regional Agro - Innovation Systems （AIS） in China. Adopting two - stage method of DEA - Tobit, the authors compared the efficiencies of AIS in 30 provinces, and then, according to the results in stage 1, constructed a multiple linear regression model. The econometrics output shows that both basic education level in rural region and the natural disasters have significant negative effects on efficiency of regional AIS. However the public science ＆ technology funding is proved to be insignificant. Thus, the authors suggest that we should not increase innovation input blindly. Through the improvement of education conditions and enhancement of agro - industrialization can people increase the system efficiency and therefore accelerate regional development.
出处
《数量经济技术经济研究》
CSSCI
北大核心
2006年第4期136-145,共10页
Journal of Quantitative & Technological Economics
基金
教育部"人文社会科学重点研究基地基金"项目(04JJD630001)
北京市科委"博士生论文资助专项基金"(ZZ0410)资助。
关键词
农业创新系统
DEA
TOBIT回归
效率评价
AIS （Agro - Innovation System）
DEA （Data Envelopment Analysis）
Tobit Regression
Efficiency Evaluation
