摘要
从价值链的角度出发,构建规模报酬可变情形下的两阶段链式关联DEA模型,对2005年至2009年中国28个省份高技术产业创新整体效率和两阶段效率进行实证分析,探索两阶段间的关联有效程度,并给出创新资源利用方式的4种模式,然后利用Tobit模型检验创新效率的影响因素。研究表明,考察期内中国高技术产业整体效率和分阶段效率偏低,且呈现U型变化趋势,资源利用模式主要为低研发低转化型;企业规模、滞后期效率值等对知识创新效率影响显著,劳动者素质、产业结构等对科技成果商业化效率的作用明显,政府支持、金融环境等对技术创新的整体效率有较为显著的影响;最后提出进一步提高职业高等教育水平、开展产学研合作机制、营造良好金融环境、完善知识产权法律等政策建议。
In the perspective of value chain, the author builds the two-stage chain relational DEA model in the variable returns to scale, then analyzes the total efficiency and two-stage efficiency of high-tech industry in 28 provinces of China from 2005 to 2009. Further explore the relational effectiveness between the two stages, the author gives four models of using innovation re- sources, and then employs the Tobit model to test the influence factors of innovation efficiency. The results show that the total and two-stage efficiency is relatively low during the review period, and there is a U-shaped trend. The model of using resources is low R＆D and low conversion of scientific and technological achievements mostly. The scale of firm, and lag efficiency are related to knowledge innovation significantly, the quality of laborers and industry structure affect the conversion efficiency of scientific and technological achievements, the government support and financial environment influence on innovation total efficiency significantly. Finally, the author suggest that we should improve the level of vocational and advanced education, carry out the mechanism of industry-college-institute cooperation, create a favorable financial environment, make the intellectual property laws perfect and so on.
出处
《管理科学》
CSSCI
北大核心
2012年第5期85-98,共14页
Journal of Management Science
基金
教育部人文社会科学项目(10YJC790166)
安徽省高校人文社会科学重点研究基地项目(2011sk743
2011sk738zd)
安徽财经大学基地项目(ACJD1103)~~
