基于创新价值链视角下中国创新效率时空格局与影响因素分析
Spatial-temporal Pattern and Influencing Factors of China's Innovation Efficiency Based on Innovation Value Chain
查看参考文献33篇
|
文摘
|
基于创新价值链视角,将创新过程分为知识凝结阶段和市场转化阶段,运用网络DEA-SBM模型、核密度分析、自然断裂点和空间面板计量模型等方法分析了2008~2015年中国省际创新总效率及两阶段效率演化动态及其成因,得出以下结论:①中国创新总效率、知识凝结效率和市场转化效率整体处在低位水平,呈波动上升趋势,近年来增速放缓;②创新效率存在明显的阶段性和区际差异,创新知识凝结、市场转化、总过程的效率值分别呈现低值集聚、离散发展和多峰分异格局,在空间上自东向西大体呈阶梯式递减分布,存在空间相关性,空间溢出效应显著;③科研队伍水平、政府政策支持力度与创新效率有显著的正相关关系,研发经费投入强度的持续增加对创新效率起到一定抑制作用,市场化发育程度和对外开放程度对创新效率的影响不显著。现阶段亟需解决企业自身研发能力不足,高校、研究机构科研评价体系不健全与成果转化收益分配不合理,基础研究投入不足和区际间知识生产能力与市场吸纳能力不匹配等问题。 |
|
其他语种文摘
|
From the perspective of the innovation value chain, the innovative process was divided into two stages in this article: knowledge condensation and market transformation. This article analyzes on the overall innovation efficiency, dynamic efficiency evolution and cause in the knowledge condensation stage and market transformation stage on a provincial scale in China from 2008 to 2015 with the methods of network DEA-SBM model, kernel density analysis, natural breaking point and Spatial Panel Econometric Model. We can draw the following conclusions: 1) The overall innovation efficiency, knowledge condensation and market transformation efficiency in China were in the low level with the slower fluctuating rise in the recent years; 2) There were obvious differences between different stages and inter regions. The innovative knowledge condensation efficiency presented a low value cluster, the market transformation efficiency presented a discrete development, and the overall efficiency showed us a double-peak pattern. From east to west, it was generally decreasing step by step in space. Spatial correlation can be seen and spatial spillover effect was remarkable; 3) The level of scientific research team and the support of government policy had a significant positive correlation with innovation efficiency. The continuously increased R&D expenditure depressed the innovation efficiency to a certain extent. While the impacts of degree of marketization development and opening up were not significant. The enterprises lacked of R&D ability; scientific research evaluation system of colleges, universities and research institutes is imperfect and the income distribution of achievement transformation is unreasonable; the investment on basic research is insufficient; the knowledge productivity does not match the market absorption capacity properly. All the above problems are urgently to be solved. |
|
来源
|
地理科学
,2019,39(2):173-182 【核心库】
|
|
DOI
|
10.13249/j.cnki.sgs.2019.02.001
|
|
关键词
|
创新效率
;
创新价值链
;
网络SBM
;
空间面板计量模型
|
|
地址
|
华东师范大学全球创新与发展研究院/华东师范大学城市与区域科学学院, 上海, 200062
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1000-0690 |
|
学科
|
自然地理学 |
|
基金
|
国家自然科学基金项目
|
|
文献收藏号
|
CSCD:6467696
|
参考文献 共
33
共2页
|
|
1.
吕拉昌. 创新地理学研究的几个理论问题.
地理科学,2016,36(5):653-661
|
CSCD被引
37
次
|
|
|
|
|
2.
蔡跃洲. 全要素生产率增长中的技术效应与结构效应--基于中国宏观和产业数据的测算及分解.
经济研究,2017,52(1):72-88
|
CSCD被引
16
次
|
|
|
|
|
3.
李静. 中国研发投入的"索洛悖论"--解释及人力资本匹配含义.
经济学家,2017(1):31-38
|
CSCD被引
11
次
|
|
|
|
|
4.
周程. 跨越创新过程中的"死亡之谷"——科技成果产业化问题刍议.
科学学与科学技术管理,2010(3):50-55
|
CSCD被引
2
次
|
|
|
|
|
5.
Bush V.
Science, the endless frontier: A report to the President,1945
|
CSCD被引
2
次
|
|
|
|
|
6.
孙早. 前沿技术差距与科学研究的创新效应--基础研究与应用研究谁扮演了更重要的角色.
中国工业经济,2017(3):5-23
|
CSCD被引
20
次
|
|
|
|
|
7.
肖文. 政府支持、研发管理与技术创新效率--基于中国工业行业的实证分析.
管理世界,2014(4):71-80
|
CSCD被引
83
次
|
|
|
|
|
8.
Sampat B N. Patenting and US academic research in the 20th century: The world before and after Bayh-Dole.
Research Policy,2006,35(6):772-789
|
CSCD被引
5
次
|
|
|
|
|
9.
Dushnitsky G. When do incumbents learn from entrepreneurial ventures?: Corporate venture capital and investing firm innovation rates.
Research Policy,2005,34(5):615-639
|
CSCD被引
12
次
|
|
|
|
|
10.
张学勇. 风险投资、创新能力与公司IPO的市场表现.
经济研究,2016,51(10):112-125
|
CSCD被引
16
次
|
|
|
|
|
11.
Drucker P.
Innovation and entrepreneurship,2014
|
CSCD被引
3
次
|
|
|
|
|
12.
Schumpeter J A.
Socialism, capitalism and democracy,1942
|
CSCD被引
1
次
|
|
|
|
|
13.
Arrow K. Economic welfare and the allocation of resources for invention.
The rate and direction of inventive activity: Economic and social factors,1962:609-626
|
CSCD被引
11
次
|
|
|
|
|
14.
Guan J C. Effects of government financial incentives on firms'innovation performance in China: Evidences from Beijing in the 1990s.
Research Policy,2015,44(1):273-282
|
CSCD被引
28
次
|
|
|
|
|
15.
杜志威. 中国地级以上城市工业创新效率空间格局研究.
地理科学,2016,36(3):321-327
|
CSCD被引
18
次
|
|
|
|
|
16.
谭俊涛. 中国区域创新绩效时空演变特征及其影响因素研究.
地理科学,2016,36(1):39-46
|
CSCD被引
31
次
|
|
|
|
|
17.
覃雄合. 中国省际高校科研成果转化效率时空格局与影响因素——基于网络SBM模型的评价.
地理研究,2017,36(9):1641-1652
|
CSCD被引
8
次
|
|
|
|
|
18.
Hansen M T. The innovation value chain.
Harvard Business Review,2007,85(6):121
|
CSCD被引
39
次
|
|
|
|
|
19.
国家统计局.
中国科技统计年鉴,2007:2015
|
CSCD被引
1
次
|
|
|
|
|
20.
国家统计局.
中国统计年鉴,2007/2015
|
CSCD被引
351
次
|
|
|
|
|
了解气象卫星更多信息，请访问