国外创新网络演化机制研究

doi:10.18306/dlkxjz.2019.12.013

Abstract

Abstract:

The research of innovation networks is a hot topic in innovation geography, and the evolution mechanisms of innovation networks are one of the core issues in the research of innovation networks. Based on CiteSpace knowledge map and deep literature analysis, this article summarizes the international research on the evolution mechanisms of innovation networks. The results show that: The endogenous effects of networks, including the overall characteristics, embeddedness, externality, technology gatekeeper, and absorptive capacity of networks, mainly reflect the evolution of innovation networks in terms of the degree of dependence of organizations on local areas, the absorptive capacity of external knowledge, and the ability to control overall networks. The characteristics of network organizations, which are embodied in the scale, nature, and size of different organizations, also have effects on the evolution of innovation networks. Multidimensional proximities play an important role in the evolution of innovation networks, and the single proximity and multidimensional proximities have periodic characteristics for the evolution of innovation networks. The evolution mechanisms of innovation networks differ at various stages of development, and the combination modes among mechanisms are also different. Finally, based on the analysis of the contents and methods of international research on the evolution mechanisms of innovation networks, the shortcomings of current research and directions for future research are put forward.

Key words: innovation networks, evolution mechanisms, proximity, international research

GU Weinan, LIU Hui, WANG Liang. International research on the evolution mechanisms of innovation networks[J].PROGRESS IN GEOGRAPHY, 2019, 38(12): 1977-1990.

Figures/Tables 9

Fig.1

Tab.1

Fig.2

Tab.2

Co-citation authors and their highly-cited papers on innovation networks"

标签	被引频次	作者	年份	文章标题
#0	61	R. Boscham	2005	Proximity and innovation: A critical assessment
#0	53	S. Breschi	2009	Mobility of skilled workers and co-invention networks: an anatomy of localized knowledge flows
#0	41	H. Bathelt	2004	Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation
#0	27	A. Agrawal	2006	Gone but not forgotten: knowledge flows, labor mobility, and enduring social relationships
#0	27	A. Ter Wal	2009	The dynamics of the inventor network in German biotechnology: geographic proximity versus triadic closure
#0	26	B. Nooteboom	2007	Optimal cognitive distance and absorptive capacity
#0	25	R. Pond	2007	The geographical and institutional proximity of research collaboration
#0	25	O. Sorenson	2006	Complexity, networks and knowledge flow
#1	35	G. Ahuja	2000	Collaboration networks, structural holes, and innovation: A longitudinal study
#2	25	W. Powell	1996	Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology
#4	26	J. Hoekman	2010	Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe
#6	36	K. Meyer	2011	Multinational enterprises and local contexts: The opportunities and challenges of multiple embeddedness
#8	36	C. Phelps	2010	A longitudinal study of the influence of alliance network structure and composition on firm innovation
#8	29	K. Laursen	2006	Open for Innovation: The role of openness in explaining innovative performance among UK manufacturing firms
#8	28	V. Gilsing	2008	Network embeddedness and exploration of novel technologies: Technological distance, betweenness centrality, density
#8	26	M. Schilling	2007	Interfirm collaboration networks: The impact of large-scale network structure on firm innovation
#11	42	J. Owen-Smith	2004	Knowledge networks as channels and conduits: The effects of spillovers in the Boston biotechnology community
#11	35	J. Singh	2005	Collaborative networks as determinants of knowledge diffusion patterns
#11	29	A. Gupta	2000	Knowledge flows within multinational corporations
#15	32	R. Mudambi	2004	Is knowledge power? Knowledge flows, subsidiary power and rent-seeking within MNCs
#15	28	L. Monteiro	2008	Knowledge flows within multinational corporations: Explaining subsidiary isolation and its performance implications
#15	37	W. W. Powell	2005	Network dynamics and field evolution: The growth of interorganizational collaboration in the life sciences

Tab.2

Fig.3

Tab.3

Fig.4

Tab.4

Fig.5

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地区		发文量/篇	地区		发文量/篇	地区		发文量/篇
北美		705	欧洲		1801		奥地利	61
	美国	546		英国	379		比利时	52
	加拿大	142		荷兰	208		瑞士	49
南美		38		意大利	186		爱尔兰	34
	巴西	22		德国	179		葡萄牙	23
大洋洲		116		西班牙	127	亚洲		335
	澳大利亚	93		法国	108		中国	98
	新西兰	23		瑞典	107		韩国	58
非洲		32		丹麦	73		日本	54
	南非	20		芬兰	65		新加坡	26
				挪威	62		以色列	22

	主要维度	过低邻近	过度邻近	解决措施
地理邻近性	主体间的距离	缺少空间外部性	对外程度低,锁定	本地“蜂鸣“和对外连接相结合
组织邻近性	主体间的信任和控制	机会主义	垄断主义	松散耦合系统
认知邻近性	主体间知识和技术相似度	相互间不能理解	创新源头遭到遏制	多样化和完整的知识基础

	MRQAP	ERG	SAOM
作用	探究多个矩阵中网络单一层次机制的作用效果	探究某个时间截面上网络的多层次机制作用效果	探究网络动态演化的多层次机制作用效果
状态	静态	静态	动态
数据类型	单一层次、截面数据	多层次、截面数据	多层次、时间段数据
适用对象	研发合作网络的多维邻近分析	产业网络的内生要素、邻近性静态分析	企业、技术网络的多层次机制动态分析
优点	操作简易	可以对多层次的数据进行分析	分析时间序列下的动态变化机制
缺点	只能反映单一层次的数据,容易遗漏变量	只能反映单一时间下截面数据的网络机制	操作较为复杂,并且需要很全面的网络数据
典型案例	荷兰航空产业知识网络的多维邻近性(Broekel et al, 2012)	荷兰航空产业知识网络的节点、多维邻近性和结构要素(Broekel et al, 2013)	西班牙玩具产业内企业和技术网络的演化(Balland et al, 2016)

International research on the evolution mechanisms of innovation networks

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