摘要
运用1995—2007年中国高技术产业分行业面板数据,以新产品销售收入为创新产出,研发资本存量和研发人员全时当量为创新投入,通过建立超越对数形式的随机前沿模型,实证检验了企业规模、市场结构及产权结构等因素对创新效率的影响。主要的研究发现有:与柯布-道格拉斯生产函数相比,超越对数生产函数更适宜表达中国的创新生产过程;企业规模、市场竞争对创新效率有显著的线性正向影响;国有产权和三资产权比重对创新效率均产生抑制作用;是否控制技术机会将影响结果的稳定性。
Based on the panel data of China＇s high-tech industry during 1995-2007, this study conducted an empirical analysis on the impact of firm size, market structure and ownership structure on innovation efficiency by using the stochastic frontier analysis method. The inputs are R＆D capital inventory and full-time equivalent R＆D personnel, while the output is the new product sales. Our results show that the translog function is better than Cobb-Douglas production function to express the knowl- edge production process in China;both the firm size and market have significantly positive effect on innovation efficiency, but both state owned enterprises ownership and foreign investment ownership have significantly negative effect on it ; controlling technology or not will affect？ the stability of the results.
出处
《中国经济问题》
CSSCI
北大核心
2011年第5期65-78,共14页
China Economic Studies
基金
国家社会科学基金(10CJY064)
教育部人文社科基金(10YJC790005
09YJC790152)
关键词
企业规模
市场结构
创新效率
随机前沿模型
firm size
market structure
innovation efficiency
stochastic frontier model
