摘要
以2001—2007年省区面板数据为基础,运用DEA的VRS模型测度科技创新效率,并进行其收敛性与影响因素分析。实证表明:中国科技创新效率具有周期性波动演化特点,东部地区科技创新效率高于中西部地区,西部地区科技创新效率提高快,赶上并超过了中部地区;西部地区科技创新效率具有绝对和条件收敛特征;全国和东中部地区科技创新效率条件收敛显著,但绝对收敛特征不明显;在考察期内工业结构、对外开放度、高等教育发展水平对全国科技创新效率具有正影响效应,而政府影响力具有负向作用。
Based on the panel data of Chinese provinces during 2000-2007,this study conducts an empirical analysis of the scientific and technology innovation efficiency by using the model of variable.The results show that the scientific and technology innovation efficiency has the characters of periodic undulation evolution,the east is higher than the middle and west,the west enhances quickly,caught up with and has surpassed the middle;the west region has absolute and conditional convergence;the conditional convergence of the whole country and east-middle area is remarkable,but the absolute convergence is not obvious;the industry structure,the openness and the higher education level of development have the positive influence,but the government effect are the negative function.
出处
《中国科技论坛》
CSSCI
北大核心
2010年第12期36-42,共7页
Forum on Science and Technology in China
基金
中国博士后科学基金资助项目(20090451209)
江苏省博士后科研资助计划项目(0901123C)
关键词
科技创新效率
DEA
收敛性
TOBIT模型
面板数据
science and technology innovation efficiency
data envelopment analysis
convergence
Tobit model
panel data
