摘要
利用1995-2012年中国五个一级高技术产业面板数据,建立差分GMM模型、系统GMM模型,从动态视角分析了市场集中度、市场收益、市场外资化对创新成果转化的影响特征,研究发现:市场集中度对创新成果转化呈显著促进作用,若就此而言,市场集中度的适度提升可以容忍;市场收益提升可激励高技术产业创新成果转化,且市场集中度对市场收益促进创新成果转化有正向调节作用;外资所占市场份额的提升,对创新成果转化的影响呈倒"U"型特征,且市场集中度对外资势力因素促进创新成果转化有正向调节作用;在动态视角上,创新成果转化活动具有正向累积影响效应。相关结论和建议可为我国高技术产业创新成果转化实践提供借鉴意义。
Based on the panel data of the 1995- 2012 China Statistics Yearbook on high- tech industry,five primary high- tech industries were analyzed. By means of the differential GMM model and the system GMM model,the characteristics of market concentration,market profits and market share of foreign capital in promoting the innovations industrialization of China's high- tech industry were analyzed. Found that,the market concentration had a significant role in promoting the industrialization performances of innovations,so the increase of market concentration moderately can be tolerated; enhance the level of market profits moderately,will help to improve the performance of innovations industrialization,and the raise of market concentration level of high- tech industry has a positive role for market profits to promote innovations industrialization; the market share of foreign capital had an inverted U- shaped impact on the performances of innovations industrialization,and the raise of market concentration level of high- tech industry has a positive role for foreign investment factor to promote innovations industrialization; besides,we also found that,innovations industrialization activities had a positively cumulative effect in different periods,so the constancy of innovations industrialization activities should be strengthened. The conclusions and recommendations can provide reference for the innovations industrialization of china's high- tech industry.
出处
《科学学研究》
CSSCI
北大核心
2016年第6期850-859,共10页
Studies in Science of Science
基金
国家社会科学基金项目(15BGL029)
江苏省应用研究重大课题(15WTA004)
江苏省高校哲学社会科学研究项目(2015SJD038)
关键词
市场集中度
市场收益
市场外资化
创新成果转化
面板数据模型
market concentration
market profits
market share of foreign capital
innovations industrialization
panel data model