摘要
本文基于两阶段视角,运用DEA模型对2007-2016年间江苏省13个地市的创新产出效率进行实证分析,探索苏南、苏中及苏北地区的专利产出阶段与经济转化阶段的效率,并以全省效率均值为参考指标,将13个城市的创新效率划分为高研发高转化型模式、低研发高转化型模式、低研发低转化型模式以及高研发低转化型模式。研究表明:江苏省整体创新产出效率不高,创新效率存在显著的地区差异与阶段差异;苏南地区专利产出效率高于苏中和苏北地区,但其经济转化效率较低。最后,针对以上现象的根源进行探讨,并从协同发展、倡导共享经济、扶持中小企业开展基础性和应用性研究等方面提出相关建议。
Based on the two-stage perspective, this paper applies the data envelopment analysis (DEA) model to analyze the innovation output efficiency of 13 cities in Jiangsu Province from 2007to 2016, and explores the efficiency of patent output stage and economic transformation stage in southern, central and northern Jiangsu. Taking the average efficiency of the whole province as the reference index, 13 cities are classified into four types including the high R&D and high conversion, the low R&D and high conversion, the low R&D and low conversion, and the high R&D and low conversion based on innovation efficiency. The results show that innovation output efficiency of Jiangsu province is low, and there are significant regional and stage differences in innovation efficiency; the cities in south area have more efficient innovation efficiency and less efficient market efficiency compared to the cities in central and northern areas. In the end of the paper, we suggest some targeted strategies like improving coordinated development, advocating sharing economy, and supporting SMEs to carry out basic and applied researches.
出处
《企业经济》
CSSCI
北大核心
2018年第2期169-175,共7页
Enterprise Economy
基金
国家自然科学基金项目"重污染行业企业环境绩效与财务绩效互动机理与政策研究"(项目编号:71273129)
国家社会科学基金项目"创新驱动新常态下产业空间重组和区域协同发展研究"(项目编号:15BJL096)
江苏省知识产权软科学项目"GDP统计中知识产权经济核算指标体系研究"(项目编号:20143036)
江苏省高校哲学社会科学基金项目"知识产权资源集中度与产业竞争力关系研究"(项目编号:2013sjd630027)
关键词
专利产出效率
经济转化效率
两阶段
DEA模型
efficiency of patent output
economic transformation efficiency: two-stage: DEA model