协同创新对企业创新差距的影响机制——以高技术产业为例

doi:10.13249/j.cnki.sgs.2021.08.007

摘要/Abstract

摘要：

以高技术产业数据为例，深入研究协同创新对企业创新差距的影响机制，借助面板回归模型、面板门槛模型和面板向量自回归模型，分析协同创新与企业创新差距之间的互动关系。研究结果表明：协同创新对企业创新差距的作用总体并不显著；协同创新对企业创新差距的作用存在区域异质性；协同创新水平较高时有利于缩小企业创新差距；创新差距较大时，协同创新能够缩小企业创新差距；协同创新与企业创新差距存在互动关系。

关键词: 协同创新, 创新差距, 高技术企业

Abstract:

Collaborative innovation is of great significance to narrow the innovation gap and accelerate the innovation-driven development of enterprises. Taking high-tech industry of 27 provinces and regions (except Tibet, Qinghai, Ningxia, Xinjiang, Hong Kong, Macau and Taiwan) of China as an example, based on relevant data of China Statistical Yearbook on high technology industry from 2010 to 2017, this article deeply studies the impact mechanism of collaborative innovation on innovation gap from two perspectives: The effect of collaborative innovation on innovation gap and the feedback effect of innovation gap on collaborative innovation. And on this basis, it proposes four hypotheses then analyzes the interactive relationship between collaborative innovation and enterprise innovation gap by means of panel regression model, panel threshold model and panel vector auto regression model. The results show that collaborative innovation has no significant effect on the enterprise innovation gap. The effect of collaborative innovation on enterprise innovation gap has regional heterogeneity. When the level of collaborative innovation is high, the efficiency and speed of collaborative innovation will increase greatly, which is conducive to narrowing the enterprise innovation gap. When the innovation gap is larger, collaborative innovation can narrow the enterprise innovation gap. Collaborative innovation and enterprise innovation gap exist interactive relationship.

Key words: collaborative innovation, innovation gap, high-tech enterprises

中图分类号:

G302

俞立平, 王冰, 陈钰芬. 协同创新对企业创新差距的影响机制——以高技术产业为例[J]. 地理科学, 2021, 41(8): 1364-1370.

Yu Liping, Wang Bing, Chen Yufen. Influence Mechanism of Collaborative Innovation on Enterprise Innovation Gap: Taking High-tech Industry as An Example[J]. SCIENTIA GEOGRAPHICA SINICA, 2021, 41(8): 1364-1370.

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指标	创新差距Y	研发强度K	劳动力强度L	利润率P	协同创新强度CI
均值	0.679	0.018	0.045	0.090	0.082
极大值	3.442	0.050	0.136	0.428	0.208
极小值	0.007	0.002	0.005	0.004	0.013
标准差	0.787	0.010	0.024	0.073	0.033

变量	变量含义	全部数据固定效应^a	全部数据固定效应^b	东部地区随机效应	中部地区随机效应	西部地区固定效应
C	常数项	−1.171^**	−1.063^*	−1.850^**	−3.393^***	0.707
		（−2.257）	（−1.692）	（−2.527）	（−2.754）	（0.916）
logK	研发强度对数	0.213^*	0.214^*	0.180	−0.301	0.384^***
		（1.906）	（1.908）	（0.898）	（−0.989）	（3.032）
logL	劳动力强度对数	0.027	0.031	−0.100	0.369	0.126
		（0.286）	（0.320）	（−0.717）	（1.286）	（1.018）
logP	利润率对数	−0.323^**	−0.325^**	−0.689^***	−0.460^*	0.272
		（−2.531）	（−2.536）	（−3.756）	（−1.759）	（1.341）
log（CI）	协同创新强度对数	−0.088	−0.012	−0.049	−0.285^*	−0.069
		（−1.524）	（−0.049）	（−0.699）	（−1.722）	（−0.876）
log²（CI）	协同创新强度对数二次项	—	0.014 （0.306）	— —	— —	— —
Hausman	检验值	25.670	30.093	8.065	3.471	22.620
P	相伴概率	0.000	0.000	0.089	0.482	0.000
R²		0.921	0.921	0.148	0.160	0.921

变量	协同创新门槛	估计结果	变量	创新差距门槛	估计结果
logK	研发强度	0.181^* （1.668）	logK	研发强度	0.342^*** （2.641）
logL	劳动力强度	0.102 （1.088）	logL	劳动力强度	−0.100^* （−1.702）
logP	利润率	−0.266^** （−2.148）	logP	利润率	−0.153 （−1.414）
log（CI）	协同创新强度log（CI）≤−2.953	−0.081 （−1.158）	log（CI）	创新差距logY≤−0.717	0.107^** （2.024）
	−2.953<协同创新log（CI）≤−1.560	0.003 （−0.037）		−0.717<创新差距logY≤0.005	−0.158^*** （−2.875）
	协同创新log（CI ）> −1.560	−0.524^** （−2.029）		创新差距logY>0.005	−0.361^*** （−5.381）