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

doi:10.13249/j.cnki.sgs.2019.02.001

Abstract

Abstract:

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.

Key words: innovation efficiency, innovation value chain, Network-SBM, Spatial Panel Econometric Model

CLC Number:

K902

Shufeng Liu, Debin Du, Xionghe Qin, Chunguang Hou. Spatial-temporal Pattern and Influencing Factors of China's Innovation Efficiency Based on Innovation Value Chain[J].SCIENTIA GEOGRAPHICA SINICA, 2019, 39(2): 173-182.

Figures/Tables 7

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References 33

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	2008年	2009年	2010年	2011年	2012年	2013年	2014年	2015年
创新总效率	/	-0.067	0.164^*	0.205^**	0.170^**	0.280^***	0.328^***	0.278^**
创新总效率	/	(-0.305)	(1.700)	(1.844)	(1.690)	(2.685)	(2.613)	(1.518)
知识凝结效率	0.255^**	0.356^***	0.329^***	0.331^***	0.315^***	0.371^***	0.351^***	/
知识凝结效率	(2.394)	(3.306)	(2.906)	(3.074)	(2.770)	(3.367)	(3.097)	/
市场转化效率	/	-0.102	-0.014	-0.056	0.016	0.103*	0.130^*	0.050
市场转化效率	/	(-0.586)	(0.170)	(-0.139)	(0.440)	(1.258)	(1.313)	(0.669)

	OLS	SEM	SAR
研发经费投入强度	0.0314^*(1.78)	-0.0814^**(-2.35)	-0.0853^**(-2.22)
科研队伍水平	-0.0015(-0.54)	00095^***(3.20)	0.0102^***(3.28)
市场化发育程度	0.0356^***(5.12)	0.0059(0.68)	0.0073(1.67)
对外开放程度	-0.0028(-0.87)	-0.0005(-0.14)	-0.0007(-0.20)
政府政策支持度	0.0292^*(1.67)	0.0379^**(2.11)	0.0301^*(1.62)
λ	/	0.2141^**(3.07)	/
ρ	/	/	0.2202^**(2.21)
R²	0.4274	0.4350	0.4038

Spatial-temporal Pattern and Influencing Factors of China's Innovation Efficiency Based on Innovation Value Chain

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