基于随机前沿的区域创新系统创新绩效分析  

Regional innovation system performances based on stochastic frontier analysis

作　　者：苏屹[1,2] 李柏洲[1,2] 

机构地区：[1]哈尔滨工程大学经济管理学院,黑龙江哈尔滨150001 [2]哈尔滨工程大学企业创新研究所,黑龙江哈尔滨150001

出　　处：《系统工程学报》2013年第1期125-133,共9页Journal of Systems Engineering

基　　金：教育部博士点基金资助项目(20122304120021);国家自然科学基金资助项目(71073034);国家软科学资助项目(2012GXS4D114);黑龙江省科技攻关计划资助项目(GZ11D203);中国博士后基金资助项目(2012M520712);黑龙江省博士后基金资助项(LBH-Z11186);中央高校基础科研经费资助项目(HEUCF120914;HEUCFR1223)

摘　　要：选择中国31个省市作为研究对象,应用随机前沿分析对31个省市组成的非平衡面板数据进行实证研究.实证研究表明中国各区域创新绩效差距较大,全国区域平均创新绩效为0.362258,这说明中国普遍存在着非效率现象.同时,发现系统开放程度、技术市场成熟度、系统协作水平、知识产权保护意识、市场化程度等对区域创新绩效具有正向的促进影响.另一方面,由中国的特殊国情决定,企业科技投入强度和政府投入强度对于区域创新绩效呈现出负相关.The paper selects China＇s 31 provinces and cities as research subjects and makes an empirical study using stochastic frontier based on the 31 provinces and cities＇ unbalanced panel data. The empirical results show that： firstly, innovation performances of regional innovation systems in different provinces or cities are greatly different. The National average regional innovation performance is 0.362258, indicating that nonefficiency is very common in these provinces and cities. Secondly, openness of regional innovation systems, maturity of technology markets, collaboration of regional innovation systems, intellectual property protection and marketization can promote innovation performances of regional innovation systems. What is more, under China＇s special national conditions, the relationship between enterprise technology input, government invest- ment and regional innovation performance is negative.

关 键 词：随机前沿分析 区域创新系统 绩效 面板数据 

分 类 号：F061.5[经济管理—政治经济学]