摘要
以1985~2009年的我国现代生物技术专利面板数据为研究样本,借鉴离散型非线性模型——负二项式模型,测算技术生态位结构特征对技术变迁的影响。研究结果表明：对技术变迁有较大影响的技术生态位特征因素主要是生态位密度、生态位多样性和生态位地位,其中生态位密度与技术变迁呈倒U型的非线性关系,生态位多样性、生态位地位对技术变迁均有正向影响,且生态位地位和区域重叠度之间存在负相关;而区域重叠度和技术变迁之间没有出现预期中的负相关。最后,说明了研究中的不足,并提出了未来研究的若干建议。
Based on patent panel data of modern biotechnology during the period from 1985 to 2009,learning from discrete nonlinear model-negative binomial model,the paper analyzed the impact of technological niche＇s structure characteristics on technical change.The results showed that technological niche＇s structure characteristics,including niche density,niche diversity,and niche status have a great impact on technical change.Among which,niche density has an inverted U relationship with niche density,both niche diversity and niche status has positive effect on technical change,and there is a significant negative correlation between niche status and local crowding.But the negative correlation between local crowding and technical change doesn＇t exist as we anticipated.Finally,the paper explains some limits and proposes some suggestions for the future research.
出处
《科学学研究》
CSSCI
北大核心
2011年第6期825-832,共8页
Studies in Science of Science
关键词
技术生态位
技术变迁
结构特征
面板数据
负二项式模型
technological niche
technical change
structure characteristics
the panel data
negative binomial model
