EFFECTS OF GEOGRAPHICAL AND TECHNOLOGICAL PROXIMITIES ON COLLABORATIVE INNOVATION: AN EMPIRICAL STUDY ON CHINA'S STEEL INDUSTRY

被引:0
|
作者
Zhang, Yarui [1 ]
Ma, Ding [2 ]
Li, Xiaocui [1 ]
Liu, Zhen [3 ]
机构
[1] Hubei Univ Arts & Sci, Sch Econ & Management, Xiangyang 441053, Hubei, Peoples R China
[2] Wuhan Univ Technol, Sch Econ, Wuhan 430070, Hubei, Peoples R China
[3] Hubei Univ Arts & Sci, Sch Automot & Traff Engn, Xiangyang 441053, Hubei, Peoples R China
来源
TRANSFORMATIONS IN BUSINESS & ECONOMICS | 2020年 / 19卷 / 2A期
关键词
technological proximity; geographical proximity; collaborative innovation; steel; RESEARCH-AND-DEVELOPMENT; NETWORK; PERFORMANCE; CLUSTERS;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Being two important dimensions of organizational proximities, geographical and technological proximities may exert interactive effects on innovation performance except their individual effects. However, few studies have examined the interaction. To identify the influences of geographical and technological proximities on the collaborative innovation, we extracted a total of 6,547 jointly filed patents in the fields of energy conservation, environmental protection and recycling in China's steel industry during 2009-2017 via the Patent Information Service Platform to construct collaborative innovation networks. A negative binomial regression model was employed to verify the independent and interactive influences of technological and geographical proximities on the collaborative innovation, as well as the moderating effect of network density on these links. Results show that compared with geographical proximity, technological proximity can improve the collaborative innovation remarkably and the interaction between multidimensional proximities can influence collaborative innovation more evidently than a single proximity. For the moderating effect, network density positively moderates the U-shape relationship between technological proximity and collaborative innovation output. Conclusions identify the effects of single proximity and interaction between multidimensional proximities on collaborative innovation and provide a reference for innovative organizations to reasonably allocate multidimensional proximities to improve the performance of innovation networks.
引用
收藏
页码:393 / 413
页数:21
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