Science, Technology, Engineering and Mathematics.
Open Access

NETWORK MEASUREMENT, PLATE RECOGNITION AND INTRA-REGIONAL COLLABORATION OF INNOVATION SPATIAL ASSOCIATION AMONG CITIES

Download as PDF

Volume 2, Issue 2, pp 48-57

Author(s)

Guanghui Hou*, Guiming Liao

Affiliation(s)

School of Business, Guangdong University of Foreign Studies, Guangzhou, China.

Corresponding Author

Guanghui Hou

ABSTRACT

Accurately identifying the regional innovation spatial association network formed by the inter-regional innovation diffusion is conducive to promoting the rational allocation of innovation resources and improving the efficiency of regional collaborative innovation. Based on the modified gravity model to determine the innovative space association relation matrix, the characteristics and evolution of the inter-city innovative space association network in Guangdong province from 2006 to 2018 were analyzed by social network. During the sample investigation period, the density of the provincial innovative space associated network first decreased and then increased. On the whole, the innovation associated and spillover effect among cities were relatively obvious, but the structure of the inter-city innovative space network was relatively strict. The innovation space correlation network of the whole province presents an unbalanced situation, with obvious core-edge structure. Guangzhou and Shenzhen drive the formation of regional collaborative innovation pattern. Guangzhou, Shenzhen, Zhuhai and Foshan are in the "net benefit" sector, the peripheral cities of the Pearl River Delta are in the "broker" sector, and the cities in the east and northwest of Guangdong are in the "net spill" sector. Finally, it puts forward some Suggestions on regional coordinated development strategy to enhance independent innovation ability.

KEYWORDS

Regional innovation network; spatial network characteristics; network plate identification; collaborative innovation strategy.

CITE THIS PAPER

Hou Guanghui, Liao Guiming. Network measurement, plate recognition and intra-regional collaboration of innovation spatial association among cities. Eurasia Journal of Science and Technology. 2020, 2(2): 48-57.

REFERENCES

[1] Neves P C, Sequeira T N. Spillovers in the production of knowledge: A meta-regression analysis[J]. Research Policy, 2018, 47(4): 750-767

[2] Ren Shenggang, Hu Chunyan, Wang Longwei. An Empirical Study on the Influence of structural characteristics of China's regional innovation network on regional Innovation capability[J].Systems Engineering, 2011, 29(02): 50-55.

[3] Li Junhua, Wang Yaode, Cheng Yueming. Research on the operational mechanism of collaborative innovation in regional innovation networks[J]. Science and Technology Progress and Countermeasures, 2012, 29(13): 32-36.

[4] Zheng Jixing, Liu Jing. Research on the construction of technology innovation diffusion system from the perspective of social network[J]. Science and Technology Progress and Countermeasures, 2016, 33(11): 25-28.

[5] Wenqi Gai, Wang Jici. On regional Technological Innovation Model and Its Innovation Network -- Taking Beijing Zhongguancun Area as an example[J].Journal of Peking University (Philosophy and Social Sciences edition), 1999, (05): 29-36.

[6] Lv Guoqing, Zeng Gang, Gu Nana. A review of regional innovation networks from the perspective of economic geography[J]. Economic Geography, 2014, 34(02): 1-8.

[7] Gao Lina, JIANG Fuxin, XIONG Jixia. Formation mechanism and spatial characteristics of regional collaborative innovation[J]. Industrial Technology & Economy, 2014, 33(03): 25-32.

[8] Qin Chenglin, Liu Yingxia, Li Chao. Convergence of Spatial Spillover and Regional Economic Growth: A Case Study based on the Yangtze River Delta[J]. Chinese Social Sciences, 2012, (05): 76-94+206.

[9] Kang Kai. Theory and Model of Technological Innovation Diffusion[M]. Tianjin: Tianjin University Press, 2004.

[10] CAI Xia, Song Zhe, Geng Xiulin, Shi Min. Review and prospect of research on innovation diffusion in social network environment [J]. Science of Science and Management of Science and Technology, 2017, 38(04): 73-84.

[11] Rogers E M. Diffusion of Innovations[M]. New York: Free Press, 1983.

[12] Freeman C. Networks of innovators: A synthesis of research issues[J]. Research Policy, 1991, 20(5): 499-514.

[13] Cooke P, Uranga M G, Etxebarria G, et al. Regional innovation systems: Institutional and organisational dimensions[J]. Research Policy, 1997, 26(4-5): 475-491.

[14] Hagerstrand T. Innovation diffusion as a spatial process[M]. Lund: Lund University, 1953.

[15] Pedersen P O. Innovation Diffusion within and between National Urban Systems[J]. Geographical Analysis, 1970, (2): 203-254.

[16] Hudson J C. Diffusion in a Central Place System[J]. Geographical Analysis, 1969(1): 45-58.

[17] Smith T E, Song S. A Spatial Mixture Model of Innovation Diffusion[J]. Geographical Analysis, 2004, 36(2): 119-145.

[18] Cantner U, Graf H. The Network of Innovators in Jena: An Application of Social Network Analysis[J]. Research Policy, 2006, 35(4): 463-480.

[19] Fischer M M, Griffith D A. Modeling Spatial Autocorrelation in Spatial Interaction Data: An Application to Patent Citation Data in the European Union[J]. Journal of Regional Science, 2008, 48(5): 969-989.

[20] Xu Xueqi, Cheng Kaiming. The spatial relationship between innovation diffusion and urban system and its demonstration[J]. Research Management, 2008, (05): 9-15.

[21] Cheng Kaiming. Research on spatial characteristics of innovation diffusion in urban system[J]. Journal of Science of Science, 2010, 28(05): 793-799.

[22] Li Jing, Tan Qing-mei, Bai Junhong. Spatial Econometric Analysis of Regional Innovative Production in China--An Empirical Study based on static and Dynamic spatial panel Models[J]. Management World, 2010, (07): 43-55+65.

[23] Xu Yingzhi, Zhu Yixi, Sun Jian. Knowledge spillover and regional economic growth: an empirical study based on spatial econometric model[J]. Scientific Research Management, 2010, 31(06): 105-112.

[24] Gong Zhigang. Research on China's trans-regional technology innovation cooperation based on social network analysis[J]. Science and Technology Management Research, 2012, 32(10): 10-14.

[25] Zhang Jingshuai, Tang Gennian.Research on characteristics of zhejiang county innovation network based on social network analysis[J]. Science and Technology Management Research, 2020, 40(02): 123-129.

[26] Hu Yan, Shi Haonan .Spatial Correlation Analysis of Urban Innovation in Yangtze River Delta Urban Agglomeration--Based on social Network Analysis Method[J]. Shanghai Economic Research, 2017, (04): 87-97.

[27] Shao Yunfei, Ouyang Qingyan, Sun Lei. Social network analysis and its application in innovation research [J]. Journal of Management, 2009, 6(09): 1188-1193+1203.

[28] Maggioni M A, Uberti T E. Knowledge networks across Europe: which distance matters?[J]. Annals of Regional Science, 2009, 43(3): 691-720.

[29] Niu Xin, Chen Xiangdong. Research on innovative Connections between cities and The Structure of innovative Cyberspace[J]. Journal of Management, 2013, 10(04): 575-582.

[30] Li Lin, Niu Tingyu. Structural evolution of regional innovation output spatial correlation network based on SNA[J]. Economic Geography, 2017, 37(09): 19-25+61.

[31] Liu Huajun, Liu Chuanming, Sun Yanan. Research on the Structural Characteristics and Effects of Spatially related Networks in China's Energy consumption[J]. China Industrial Economy, 2015, (05): 83-95.

[32] Liujun. Lecture Notes on Holistic Network Analysis[M]. Changsha: Hunan People's Publishing House, 2005.

[33] Shao Hanhua, Zhou Lei, Liu Yaobin. Spatial Correlation Network Structure and Driving Factors of Innovation development in China[J]. Journal of Science of Science, 2015, 36(11): 2055-2069.

All published work is licensed under a Creative Commons Attribution 4.0 International License. sitemap
Copyright © 2017 - 2024 Science, Technology, Engineering and Mathematics.   All Rights Reserved.