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Network Structure and Dynamics of Chinese Regional Incubation

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Abstract

In recent years, the structure of incubation networks has attracted much attention. However, the intricacy of network has limited the discussions on its structure and dynamics. Information theory is employed as a model independent approach, which is capable of overcoming these obstacles. Information flows between different regions are calculated with the help of the transfer entropy methodology. Moreover, corresponding incubation networks are constructed over two periods. Thereafter, local transfer entropy is calculated for analysing how the structure of networks is changing with time. The results obtained are presented as follows. Firstly, the adjacent geographical location is the key factor in the formation of region incubation networks and six region incubation networks are formed in China; Secondly, network-level in different regions exhibits a serious imbalance; Finally, the policy significantly contributes to the dynamics of region incubation networks. The key findings revealed in the paper extend support to the governments and local authorities in shaping their prospective policies for not only the incubation industry, but also the entrepreneurs, and development of the region economy.

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References

  • Aaboen L (2009) Explaining incubators using firm analogy. Technovation 29:657–670

    Google Scholar 

  • Barbero J, Casillas C, Wright M, Garcia AR (2014) Do different types of incubators produce different types of innovations? J Technol Transfer 39(2):151–168

    Google Scholar 

  • Barnett L (2009) Granger causality and transfer entropy are equivalent for Gaus-sian variables. Phys Rev Lett 103:238701

    Google Scholar 

  • Bellingeri M, Cassi D, Vincenzi S (2014) Efficiency of attack strategies on complex model and real-world networks. Physica A 414:174–180

    Google Scholar 

  • Bollingtoft A, Ulhoi JP (2005) The Networked Business Incubator-leveraging Entrepreneurial Agency. J Bus Ventur 20:265–290

    Google Scholar 

  • Borgatti S, Li X (2009) On Social Network Analysis in a Supply Chain Context. J Supply Chain Manag 45(2):5–22

    Google Scholar 

  • César D, Laurent B (2014) Spatial Science and Network Science: Review and Outcomes of a Complex Relationship. Network and Spatial Economics 14:297–316

    Google Scholar 

  • Clarysse B, Wright M, Bruneel J, Mahajan A (2014) Creating value in ecosystems: crossing the chasm between knowledge and business ecosystems. Res Policy 43(7):1164–1176

    Google Scholar 

  • Chung-Jen C (2009) Technology Commercialization, incubator and venture capital and new venture performance. J Bus Res 62:93–103

    Google Scholar 

  • Daugherty MS, Jithendranathan T (2015) A study of linkages between frontier markets and the U.S. equity markets using multivariate GARCH and transfer entropy. Journal of Multinational Financial Management 32-33:95–115

    Google Scholar 

  • Dimpfl T, Peter FJ (2012) Using transfer entropy to measure information flows between financial markets. Studies in Nonlinear Dynamics and Econometrics 17:85–102

    Google Scholar 

  • Faes L, Nollo G, Porta A (2013) Compensated transfer entropy as a tool for reliably estimating information transfer in physiological time series. Entropy 15:198–219

    Google Scholar 

  • Fetters ML, Green PG, Rice MP, Butler JS (2010) The Development of University-Based Entrepreneurship Ecosystems: Global Practices. Edward Elgar Publishing, Cheltenham

    Google Scholar 

  • Fritsch M, Kauffeld-Monz MM (2010) The impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks. Ann Reg Sci 44(1):21–38

    Google Scholar 

  • Gong Y (2009) Analysis of innovation ability of Zhongguancun industry cluster from the perspective of complex network structure. Science and Management of Science and Technology 05:56–60

    Google Scholar 

  • Hansen MT et al (2000) Networked incubator. Harv Bus Rev 78(5):74–84

    Google Scholar 

  • Hongseok O, Labianca G, Myung-Ho C (2006) A Multilevel Model of Group Social Capital. Acad Manag Rev 31(3):569–582

    Google Scholar 

  • Hu MC, Mathews JA (2008) China’s National Innovative Capacity. Res Policy 37(9):1465–1479

    Google Scholar 

  • Illenberger J, Nagel K, Flotterod G (2013) The role of spatial interaction in social networks. Network and Spatial Economics 13:255–282

    Google Scholar 

  • Ivanova I (2014) Quadruple helix systems and symmetry: a step towards helix innovation system classification. J Knowl Econ 5(2):357–369

    Google Scholar 

  • Levidow L, Lindgaard-Jørgensen P, Nilsson Å, Alongi Skenhall S, Assimacopoulous D (2016) Process eco-innovations: assessing meso-level ecoefficiency in industrial water-service systems. J Clean Prod 110:54e65

    Google Scholar 

  • Li Y (2012) Research on network resources, entrepreneurial orientation and incubating enterprise performance based on Dalian national incubator Empirical analysis. Chinese Soft Science 8:98–110

    Google Scholar 

  • Liargovas P (2013) Do business incubators and technoparks affect regional innovation? A comparative study in the EU27 and the NC1 countries. Working Paper. Available online: http://www.ub.edu/searchproject/wp-content/uploads/2013/01/WP-4.5.pdf (accessed 27/03/14)

  • Liu BQ, Liang JG (2008) Fuzzy group decision making for regional incubator network performance. East China Economic Management 22(10):36–39

  • Löfsten H, Lindelöf P (2005) R&D networks and product innovation patterns: academic and non-academic new technology-based firms on science parks. Technovation 25:1025–1037

    Google Scholar 

  • Lyons TS (2000) Building Social Capital for Sustainable Enterprise Development in Country Towns and Regions: Successful Practices from the United States. Paper presented at the First National Conference on the Future of Australia’s Country Towns, LaTrobe University, Center for Sustainable Regional Communities, Australia

  • Maraqa A, Darmawan A (2016) Enhancing the role of networked business incubators as a catalyst of promoting trading business among OIC. International Journal of Islamic Business 1(1):29–49

    Google Scholar 

  • Markley DM, McNamara KT (1995) Economic and fiscal impacts of a business incubator. Econ Dev Q 9(3):273–278

    Google Scholar 

  • McAdam R (2006) The networked incubator. The role and operation of entrepreneurial networking with the university science park incubator (USI). Entrepreneurship and Innovation 7(2):87–97

    Google Scholar 

  • McAdam M, Marlow S (2008) A preliminary investigation into networking activities within the university incubator. Int J Entrep Behav Res 14(4):219–241

    Google Scholar 

  • Mian S (1997) Assessing and managing the university technology business incubator: an integrative framework. J Bus Ventur 12(4):251–340

    Google Scholar 

  • Mian S (2011) Science and Technology Based Regional Entrepreneurship: Global Experience in Policy and Program Development. Edward Elgar Publishers, Cheltenham

    Google Scholar 

  • Studdard NL (2006) The effectiveness of entrepreneurial firm's knowledge acquisition from a business incubator. International Entrepreneurship Management 2:211–225

    Google Scholar 

  • Pathak S, Day JM, Nair A, Sawaya W, Kristal M (2007) Complexity and adaptivity in supply networks: Building supply network theory using a complex adaptive systems perspective. Decis Sci 38(4):547–580

    Google Scholar 

  • Phelps C, Heidl R, Wadhwa A (2012) Knowledge, networks, and knowledge networks: a review and research agenda. J Manag 38(4):1115–1166

    Google Scholar 

  • Ramirez R (1999) Value co-production: intellectual origins and implications for practice and research. Strateg Manag J 20(1):49–65

    Google Scholar 

  • Reggiani A, De Graaff T, Nijkamp P (2002) Resilience: An Evolutionary Approach to Spatial Economic Systems. Networks and Spatial Economics 2:211–229

    Google Scholar 

  • Sakurama K, Miura M (2017) Distributed constraint optimization on networked multi-agent systems. Appl Math Comput 292:272–281

    Google Scholar 

  • Salido E, Sabás M, Freixas P (2013) The accelerator and incubator ecosystem in Europe. In: Telefonica Europe

  • Schreiber T (2000) Measuring information transfer. Phys Rev Lett 85:461–464

    Google Scholar 

  • Smith DJ, Zhang M (2012) The evolution of the incubator concept. Int J Entrep Innov 13(4):227–234

    Google Scholar 

  • Soetanto D, Sarah J (2016) The impact of university-based incubation support on the innovation strategy of academic spin-offs. Technovation 50:25–40

    Google Scholar 

  • Soetanto DP, Jack SL (2013) Business incubators and the networks of technology-based firms. J Technol Transfer 38(4):432–453

    Google Scholar 

  • Somsuk N, Laosirihongthong T (2014) A fuzzy AHP to prioritize enabling factors for strategic management of university business incubators: resource-based view. Technology Forecasting and Social Change 85:198–210

    Google Scholar 

  • Spithoven A, Teirlinck P (2015) Internal capabilities, network resources and appropriation mechanisms as determinants of R&D outsourcing. Res Policy 44(3):711–725

    Google Scholar 

  • Stadler TS, Rajwani KF (2014) Solutions to the exploration–exploitation dilemma: networks as a new level of analysis. Int J Manag Rev 16(2):172–193

    Google Scholar 

  • Thomas R, Ian FW, Wesley JJ (2004) Managing in complex business networks. Ind Mark Manag 33:175–183

    Google Scholar 

  • Tiago R, Rainer H, Aard G (2009) Business support within business incubators. Frontiers of Entrepreneurship Research 29(15):7

  • Vicente R, Wibral M, Lindner M, Pipa G (2011) Transfer entropy-a model-free measure of effective connectivity for the neurosciences. J Comput Neurosci 30:45–67

    Google Scholar 

  • Voisey P, Gornall L, Jones P, Thomas B (2006) The measurement of success in a business incubation project. Journal of Small Business & Enterprise Development 13(3):454–468

  • Voss GB (2013) Strategic ambidexterity in small and medium-sized enterprises: implementing exploration and exploitation in product and market domains. Organ Sci 24(5):1459–1477

    Google Scholar 

  • Zaheer A, Gözübüyük R, Milanov H (2010) It’s the connections: the network perspective in interorganizational research. Acad Manag Perspect 24(1):62–77

    Google Scholar 

Download references

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Correspondence to Haiyan Li.

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Appendix

Appendix

The name and number of the 41 Chinese regions

Region

Number

Region

Number

Beijing

1

Guizhou

23

Tianjin

2

Yunnan

24

Hebei

3

Xizang

25

Shanxi

4

Shanxi

26

Neimenggu

5

Gansu

27

Liaoning

6

Qinghai

28

Jilin

7

Ningxia

29

Heilongjiang

8

Xinjiang

30

Shanghai

9

Dalian

31

Jiangsu

10

Ningbo

32

Zhejiang

11

Qingdao

33

Anhui

12

Xiamen

34

Fujian

13

Shenzhen

35

Jiangxi

14

Wuhan

36

Shandong

15

Guangzhou

37

Henan

16

Xian

38

Hubei

17

Chengdu

39

Hunan

18

Zhengzhou

40

Guangdong

19

Nanjing

41

Guangxi

20

  

Chongqing

21

  

Sichuan

22

  

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Li, H., Tang, Y. Network Structure and Dynamics of Chinese Regional Incubation. Netw Spat Econ 19, 1173–1197 (2019). https://doi.org/10.1007/s11067-019-09446-9

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