创新松散型产业的创新网络特征及其对创新绩效的影响研究——以长江经济带物流产业为例

doi:10.11821/dlyj201709005

Abstract

Abstract:

Innovation plays an important role in the development of China. Previously, the research of industries with strong innovation ability has attracted much more attention from academic researchers. Nevertheless, those industries with weak innovation ability are also important to the development of national economy, and there is a significant difference in the innovation network characteristics of innovation-loose industries and innovation-intensive industries. Therefore, this paper aims to study the innovation network forms of innovation-loose industries, and its influence on network performance. And the logistics industry is taken as a typical representative of innovation-loose industries in the Yangtze River Economic Belt. With the help of some quantitative graphics analysis software such as Stata, Gephi, and ArcGIS, we describe the collaborative innovation network of logistics industry in the Yangtze River Economic Belt and discuss its impact of innovation networks on innovation performance based on and negative binomial regression models using co-invented patent data of logistics industry issued by the State Intellectual Property Office of the P.R.C. from 1985 to 2013. Compared to the equipment manufacturing industry, in addition, it sums up difference of innovation networks between innovation-loose industries and innovation-intensive industries. The results show that: (1) In terms of spatial distribution, the "Z"-shaped region which is composed of "Nanjing-Shanghai-Hangzhou-Ningbo" has become the innovation center of logistics industry in the Yangtze River Economic Belt. And there is a close cooperative relation of innovation network between the region and the cities of Wuhan, Beijing, Shenzhen and Taipei. (2) Cooperation innovation network of logistics industry has a core-periphery structure which takes colleges and universities as the center of the network. While there are major network problems of over-embeddedness and missing-structural holes position function, which internally result from fragmentation caused in logistics industry innovation and strong enterprises-weak universities' relations. Hence, it is necessary to enhance innovation ability of colleges and universities, create a new relationship between strong enterprises and strong universities, and construct innovation union and platform to make enterprises play a leading role in the core network. Moreover, we need to be aware that universities with high innovation ability will attract enterprises to participate in cooperation, which will promote the healthy development of the logistics industry innovation network in the Yangtze River Economic Belt.

Key words: Yangtze River Economic Belt, innovation-loose industries, logistics industry, cooperative innovation network, over-embeddedness

Zefeng MI, Gang ZENG. The innovation network characteristics of innovation-loose industry and its impact on innovation performance: An empirical analysis on the logistics industry of the Yangtze River Economic Belt[J].GEOGRAPHICAL RESEARCH, 2017, 36(9): 1653-1666.

Figures/Tables 7

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References 38

[1]	Whittington K B, Owen-Smith J, Powell W W.Networks, propinquity, and innovation in knowledge-intensive industries. Administrative Science Quarterly, 2009, 54(1): 90-122. doi: 10.2189/asqu.2009.54.1.90
[2]	邓羽, 司月芳. 西方创新地理研究评述. 地理研究, 2016, 35(11): 2041-2052. doi: 10.11821/dlyj201611004
	[Deng Yu, Si Yuefang.The progress and prospect of innovation geography research in the West. Geographical Research, 2016, 35(11): 2041-2052.] doi: 10.11821/dlyj201611004
[3]	Bathelt H, Malmberg A, Maskell P.Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation. Progress in Human Geography, 2004, 28(1): 31-56. doi: 10.1191/0309132504ph469oa
[4]	Bathelt H, Glückler J.Toward a relational economic geography. Journal of Economic Geography, 2003, 3(2): 117-144. doi: 10.1093/jeg/3.2.117
[5]	Yeung H.Rethinking relational economic geography. Transactions of the Institute of British Geographers, 2005, 30(1):37-51. doi: 10.1111/tran.2005.30.issue-1
[6]	Coe N M, Dicken P, Hess M.Global production networks: Realizing the potential. Journal of Economic Gography, 2008, 8(3): 271-295. doi: 10.1093/jeg/lbn002
[7]	Gereffi G, Humphrey J, Sturgeon T.The governance of global value chains. Review of International Political Economy, 2005, 12(1): 78-104. doi: 10.1080/09692290500049805
[8]	刘炜, 李郇, 欧俏珊. 产业集群的非正式联系及其对技术创新的影响: 以顺德家电产业集群为例. 地理研究, 2013, 32(3): 518-530. doi: 10.11821/yj2013030013
	[Liu Wei, Li Xun, Ou Qiaoshan.Informal ties in industrial cluster and its impacton technological innovation: A case study of household appliance cluster in Shunde. Geographical Research, 2013, 32(3): 518-530.] doi: 10.11821/yj2013030013
[9]	Liefner I, Hennemann S.Structural holes and new dimensions of distance: The spatial configuration of the scientific knowledge network of China's optical technology sector. Environment and Planning A, 2011, 43(4): 810-829. doi: 10.1068/a43100
[10]	吕国庆, 曾刚, 郭金龙. 长三角装备制造业产学研创新网络体系的演化分析. 地理科学, 2014, 34(9): 1051-1059.
	[Lv Guoqing, Zeng Gang, Guo Jinlong.Innovation network system of industry- university- research institute of equipment manufacturing industry in the Changjiang River Delta. Scientia Geographica Sinica, 2014, 34(9): 1051-1059.]
[11]	陈伟, 张永超, 田世海. 区域装备制造业产学研合作创新网络的实证研究: 基于网络结构和网络聚类的视角. 中国软科学, 2012, (2): 96-107.
	[Chen Wei, Zhang Yongchao, Tian Shihai.Empirical research on innovation networks consisting of industry-university-research institute in regional equipment manufacturing industry: A perspective of network structure and network cluster. China Soft Science Magazine, 2012, (2): 96-107.]
[12]	Martin S, Pahor M, Jaklič M.The structure of policy-induced innovation networks in Slovenia. Journal of Innovation Management, 2015, 18(4): 428-450. doi: 10.1108/EJIM-09-2013-0093
[13]	Shazi R, Gillespie N, Steen J.Trust as a predictor of innovation network ties in project teams. International Journal of Project Management, 2015, 33(1): 81-91. doi: 10.1016/j.ijproman.2014.06.001
[14]	王秋玉, 吕国庆, 曾刚. 内生型产业集群创新网络的空间尺度分析: 以山东省东营市石油装备制造业为例. 经济地理, 2015,35(6): 102-108.
	[Wang Qiuyu, Lv Guoqing, Zeng Gang.Spatial analysis of innovation network about the endogenous industrial cluster: An analysis on Dongying. Economic Geography, 2015, 35(6): 102-108.]
[15]	吕国庆, 曾刚, 马双, 等. 产业集群创新网络的演化分析: 以东营市石油装备制造业为例. 科学学研究, 2014, 32(9): 1423-1430.
	[Lv Guoqing, Zeng Gang, Ma Shuang, et al.The evolutionary study about innovation network of industrial clusters: An empirical analysis on Dongying. Studies in Science of Science, 2014, 32(9): 1423-1430.]
[16]	王秋玉, 曾刚, 吕国庆. 中国装备制造业产学研合作创新网络初探. 地理学报, 2016, 71(2): 251-264. doi: 10.11821/dlxb201602006
	[Wang Qiuyu, Zeng Gang, Lv Guoqing.Structural evolution of innovation networks of China's equipment manufacturing industry. Acta Geographica Sinica, 2016, 71(2): 251-264.] doi: 10.11821/dlxb201602006
[17]	Tseng C Y, Lin S C, Pai D C, et al.The relationship between innovation network and innovation capability: A social network perspective. Technology Analysis & Strategic Management, 2016, 28(9): 1-12. doi: 10.1080/09537325.2016.1181739
[18]	陈伟, 张永超, 田世海. 区域装备制造业产学研合作创新网络的实证研究: 基于网络结构和网络聚类的视角. 科学学研究, 2012, 30(4): 600-607.
	[Chen Wei, Zhang Yongchao, Tian Shihai.Empirical research on innovation networks consisting of industry-university-research institute in regional equipment manufacturing industry: A perspective of network structure and network cluster. Studies in Science of Science, 2012, 30(4): 600-607.]
[19]	张艺, 陈凯华, 朱桂龙. 中国科学院产学研合作网络特征与影响. 科学学研究, 2016, 34(3): 404-417.
	[Zhang Yi, Chen Kaihua, Zhu Guilong.The characteristics and the influences of industry-university-research institute collaborations of Chinese Academy of Sciences. Studies in Science of Science, 2016, 34(3): 404-417.]
[20]	李燕. 现代物流与经济增长关系研究: 基于浙江省的研究. 杭州: 浙江大学硕士学位论文, 2004.
	[Li Yan.Study on the relationship between modern logistics and economic growth: Based on the research of Zhejiang province. Hangzhou: Master Dissertation of Zhejiang University, 2004.]
[21]	李国刚, 曹昱亮. 区域物流发展与经济增长关系的实证研究. 经济问题, 2012, (12): 121-124.
	[Li Guogang, Cao Yuliang.An empirical study of the regional logistics development and economic growth. On Economic Problems, 2012, (12): 121-124.]
[22]	屈仁均, 李严锋. 物流集群网络创新研究. 物流技术, 2010, 29(9): 12-15.
	[Qu Renjun, Li Yanfeng.Research on the innovation of the logistics agglomeration network. Logistics Technology, 2010, 29(9): 12-15.]
[23]	李宇. 嵌入大学科技园的紧密型产学研结合机制及区域创新驱动模式研究. 科技进步与对策, 2013, 30(1): 5-10. doi: 10.6049/kjjbydc.2011110393
	[Li Yu.The tight binding-type mechanism of industry-university-institute cooperation embedded in university science &technology park and its regional innovation driven-mode. Science & Technology Progress and Policy, 2013, 30(1): 5-10.] doi: 10.6049/kjjbydc.2011110393
[24]	Burt R S, Jannotta J E, Mahoney J T.Personality correlates of structural holes. Social Networks, 1998, 20(1): 63-87. doi: 10.1016/S0378-8733(97)00005-1
[25]	Tan J, Zhang H, Wang L.Network closure or structural hole?. The conditioning effects of network-Level social capital on innovation performance. Entrepreneurship Theory and Practice, 2015, 39(5): 1189-1212. doi: 10.1111/etap.12102
[26]	Balland P A, Vaan M D, Boschma R.The dynamics of interfirm networks along the industry life cycle: The case of the global video game industry, 1987-2007. Journal of Economic Geography, 2013, 13(5): 741-765. doi: 10.1093/jeg/lbs023
[27]	Balland P A, Belsomartínez J A, Morrison A.The dynamics of technical and business knowledge networks in industrial clusters: Embeddedness, status, or proximity?. Papers in Evolutionary Economic Geography, 2015, 92(1): 35-60. doi: 10.1080/00130095.2015.1094370
[28]	陈力田. 企业技术创新能力演进规律研究: 基于适应性演化和协同视角. 杭州: 浙江大学博士学位论文, 2012.
	[Chen Litian.Rule of enterprises' innovation capability evolution: Based on adaptive evolution and synergy perspectives. Hangzhou: Doctoral Dissertation of Zhejiang University, 2012.]
[29]	罗守贵, 刘俊彦, 孙中峰. 区域知识竞争力的国际比较及上海的实证. 研究与发展管理, 2008, 20(6): 56-61.
	[Luo Shougui, Liu junyan, Sun Zhongfeng. International comparison of regional knowledge competitiveness and empirical study on Shanghai municipality. R&D Management, 2008, 20(6): 56-61.]
[30]	赵建吉, 曾刚. 创新的空间测度:数据与指标. 经济地理, 2009, 29(8): 1250-1255.
	[Zhao Jianji, Zeng Gang.Spatial measurement of innovation: Data and indicator. Economic Geography, 2009, 29(8): 1250-1255.]
[31]	Barabási A L, Albert R.Emergence of scaling in random networks. Science, 1999, 286(5439): 509-512. doi: 10.1126/science.286.5439.509 pmid: 10521342
[32]	李顺才, 李伟. 基于知识根植性视角的联盟协作创新研究. 研究与发展管理, 2007, 19(1): 1-5. doi: 10.3969/j.issn.1004-8308.2007.01.001
	[Li Shuncai, Li Wei.A study on the collaborative innovation in alliance based on the knowledge embeddedness perspective. R&D Management, 2007, 19(1): 1-6.] doi: 10.3969/j.issn.1004-8308.2007.01.001
[33]	李军晓. 嵌入全球竞争的学习型企业集群. 福州: 福州大学硕士学位论文, 2005.
	[Li Junxiao.Learning enterprise cluster embedding in the global competition. Fuzhou: Master Dissertation of Fuzhou University, 2005.]
[34]	盛亚, 范栋梁. 结构洞分类理论及其在创新网络中的应用. 科学学研究, 2009, 27(9): 1407-1411.
	[Sheng Ya, Fan Dongliang.Structural holes classification theory and its application in innovation network. Studies in Science of Science, 2009, 27(9): 1407-1411.]
[35]	Acs Z J, Anselin L, Varga A.Patents and innovation counts as measures of regional production of new knowledge. Research Policy, 2002, 31(7): 1069-1085. doi: 10.1016/S0048-7333(01)00184-6
[36]	Boschma R.Proximity and innovation: A critical assessment. Regional Studies, 2005, 39(1): 61-74. doi: 10.1080/0034340052000320887
[37]	Balland P A, Boschma R, Frenken K.Proximity and innovation: From statics to dynamics. Regional Studies, 2015, 49(6): 907-920. doi: 10.1080/00343404.2014.883598
[38]	顾娜娜. 长江经济带装备制造业产学研创新网络研究. 上海: 华东师范大学硕士学位论文, 2015.
	[Gu Nana.Innovation network of industry-university-research institute cooperation-empirical investigation into equipment manufacturing industry in the Yangtze River Economic Belt. Shanghai: Master Dissertation of East China Normal University, 2015.]

名称	解释	1985年	1995年	2005年	2013年
平均度	网络总边数/网络总节点数,表示网络的平均联系程度。	0.605	0.518	0.782	0.828
平均加权度	无向网络中,计联系强度的网络总边数/网络总节点数。	0.640	0.590	1.332	2.716
网络直径	节点间的距离指从一个节点要经历的边的最小数目,其中所有节点之间的最大距离称为网络直径。	4	2	8	18
模块度	衡量网络社区结构强度的方法,其值越接近1,表示网络划分出的社区结构的强度越强。	0.908	0.927	0.933	0.952
平均聚集系数	聚类系数表示一个图形中节点集聚程度的系数;局部聚集系数表示一个节点与它相邻节点形成团的紧密程度;平均聚集系数表示所有节点的局部聚集系数的均值。平均聚集系数越大,则越容易形成“小世界”。	0.563	0.429	0.467	0.600
平均路径长度	网络中所有节点对之间的平均最短距离。	1.458	1.085	4.145	6.634

	均值	标准偏差	VIF	1	2	3	4	5	6	7	8	9
1.发明专利总数	30.56	196.79		1
2.网络地位	64.10	737.33	1.03	0.112^**	1
3.网络根植性	0.52	2.41	1.09	0.196^**	0.164^**	1
4.结构洞限制度	0.85	0.30	1.34	0.03	-0.047^**	-0.123^**	1
5.地理临近	8885.62	8508.65	2.89	0.023	-0.013	-0.018	0.006	1
6.创新活跃度	2.38	2.38	1.09	0.333^**	0.093^**	0.213^**	0.026	0.135^**	1
7.合作广度	246.70	426.80	1.35	0.022	0.036^*	0.073^**	-0.485^**	-0.103^**	0.053^**	1
8.人均GDP	86355.47	26672.35	1.73	0.034^*	0.007	0.012	0	0.466^**	0.075^**	-0.105^**	1
9.R&D投入占比	2.57	0.92	3.84	0.025	0	-0.002	-0.003	0.604^**	0.107^**	-0.126^**	0.642^**	1

解释变量	长江经济带		东部四省		中部三省		西部四省
解释变量	模型1	模型2	模型1	模型2	模型1	模型2	模型1	模型2
网络地位	0.00138^***	0.00068^***	0.00211^***	0.00073^***	0.00111^**	0.00084^***	0.00530^***	0.00103^**
网络根植性	-5.60E-07^***	0.0531^***	-8.74E-07^***	0.0731^***	-9.4E-07	-0.0178	-2.41E-05^***	0.1310^***
结构洞限制度	0.702^***	0.708^***	0.896^***	0.939^***	0.266	0.268	-0.393^**	-0.332^*
地理临近	-6.7E-06	-4.8E-06	-5.4E-06	-1.4E-06	9.40E-05^***	8.83E-05^**	-0.000108^*	-0.000102^*
创新活跃度	0.329^***	0.329^***	0.350^***	0.361^***	0.341^***	0.346^***	0.430^***	0.437^***
合作广度	0.000282^***	0.000272^***	0.000653^***	0.000658^***	-0.000478^**	-0.000484^**	0.000202^*	0.000191^*
人均GDP	6.41E-06^***	7.05E-06^***	4.28E-06^***	5.12E-06^***	5.74E-07	1.2E-06	-3.9E-06	-3E-06
R&D占比	0.129^**	0.103^*	0.050	-0.007	0.531^**	0.546^**	0.621^**	0.602^**

The innovation network characteristics of innovation-loose industry and its impact on innovation performance: An empirical analysis on the logistics industry of the Yangtze River Economic Belt

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