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Proximity effect, preferential attachment and path dependence in inter-regional network: a case of China’s technology transaction

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Abstract

We analyze whether proximity effect, preferential attachment and path dependence or three “P” mechanisms would concur within the evolutionary process of inter-regional network. Using a unique database of China’s technology transaction between regions, we show that proximity effect, preferential attachment and path dependence have coexisted in the evolutionary process of China’s inter-regional network of technology transactions. In particular, the inter-regional relations positively and significantly correlate with the geographical and economic proximity matrix, all regions’ three centrality values in current year positively and significantly correlate with their centrality in the last two years, and the inter-regional relations in current year positively and significantly correlate with own relations in last two years. This paper contributes to the existing literature by identifying three evolutionary mechanisms of inter-regional network. An interpretation is that the evolution process of inter-regional network is a very complex process, and one mechanism such as geographical proximity from the perspective of economic geography or preferential attachment from the perspective of network science only could explain a part of the process.

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References

  • Abbasi, A., Hossain, L., & Leydesdorff, L. (2012). Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. Journal of Informetrics, 6(3), 403–412.

    Article  Google Scholar 

  • Agrawal, A., Kapur, D., & McHale, J. (2008). How do spatial and social proximity influence knowledge flows? Evidence from patent data. Journal of Urban Economics, 64(2), 258–269.

    Article  Google Scholar 

  • Amesse, F., & Cohendet, P. (2001). Technology transfer revisited from the perspective of the knowledge based economy. Research Policy, 30(9), 1459–1478.

    Article  Google Scholar 

  • Arthur, W. B. (1989). Competing technologies, increasing returns, and lock-in by historical events. The Economic Journal, 99(394), 116–131.

    Article  Google Scholar 

  • Balland, P., Boschma, R., & Frenken, K. (2015). Proximity and Innovation: From statics to dynamics. Regional Studies, 49(6), 907–920.

    Article  Google Scholar 

  • Barabási, A. L. (2012). Network science: Luck or reason. Nature, 489(7417), 507–508.

    Article  Google Scholar 

  • Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509–512.

    Article  MathSciNet  MATH  Google Scholar 

  • Barrat, A., Barthélemy, M., & Vespignani, A. (2005). The effects of spatial constraints on the evolution of weighted complex networks. Journal of Statistical Mechanics: Theory and Experiment, 2005(05), P05003.

    Article  Google Scholar 

  • Belussi, F., Sammarra, A., & Sedita, S. R. (2010). Learning at the boundaries in an “Open Regional Innovation System”: A focus on firms’ innovation strategies in the Emilia Romagna life science industry. Research Policy, 39(6), 710–721.

    Article  Google Scholar 

  • Boschma, R. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39(1), 61–74.

    Article  Google Scholar 

  • Boschma, R. A., & Frenken, K. (2006). Why is economic geography not an evolutionary science? Towards an evolutionary economic geography. Journal of Economic Geography, 6(3), 273–302.

    Article  Google Scholar 

  • Boschma, R., & Frenken, K. (2010). The spatial evolution of innovation networks. A proximity perspective. In R. Boschma & R. Martin (Eds.), The handbook of evolutionary economic geography. Cheltenham Glos: Edward Elgar Publishing.

    Chapter  Google Scholar 

  • Boschma, R., & Iammarino, S. (2009). Related variety, trade linkages, and regional growth in Italy. Economic Geography, 85(3), 289–311.

    Article  Google Scholar 

  • Boschma, A. R., & Ter Wal, L. J. A. (2007). Knowledge networks and innovative performance in an industrial district: the case of a footwear district in the South of Italy. Industry and Innovation, 14(2), 177–199.

    Article  Google Scholar 

  • Bottazzi, L., & Peri, G. (2003). Innovation and spillovers in regions: Evidence from European patent data. European Economic Review, 47(4), 687–710.

    Article  Google Scholar 

  • Breschi, S., & Lissoni, F. (2001). Localised knowledge spillovers vs. innovative milieux: Knowledge “tacitness” reconsidered. Papers in Regional Science, 80(3), 255–273.

    Article  Google Scholar 

  • Broekel, T., & Boschma, R. (2012). Knowledge networks in the Dutch aviation industry: The proximity paradox. Journal of Economic Geography, 12(2), 409–433.

    Article  Google Scholar 

  • Cantner, U., & Graf, H. (2006). The network of innovators in Jena: An application of social network analysis. Research Policy, 35(4), 463–480.

    Article  Google Scholar 

  • Capello, R. (2009). Spatial spillovers and regional growth: A cognitive approach. European Planning Studies, 17(5), 639–658.

    Article  Google Scholar 

  • Capello, R., & Caragliu, A. (2012). Proximities and the intensity of scientific relations: synergies and nonlinearities. Paper presented at the Tinbergen Institute, Amsterdam, May 7–8. http://www.grupposervizioambiente.it/aisre_sito/doc/papers/Caragliu_Cappello.pdf

  • Cheyre, C., Klepperdeceased, S., & Veloso, F. (2015). Spinoffs and mobility of U.S. merchant semiconductor inventors. Management Science, 61(3), 487–506.

    Article  Google Scholar 

  • Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152.

    Article  Google Scholar 

  • Cooke, P., Uranga, M. G., & Etxebarria, G. (1997). Regional innovation systems: Institutional and organisational dimensions. Research Policy, 26(4), 475–491.

    Article  Google Scholar 

  • Cowan, R., & Gunby, P. (1996). Sprayed to death: path dependence, lock-in and pest control strategies. The Economic Journal, 106(436), 521–542.

    Article  Google Scholar 

  • David, A. P. (1985). Clio and the Economics of QWERTY. The American Economic Review, 75(2), 332–337.

    Google Scholar 

  • Ejermo, O., & Karlsson, C. (2006). Interregional inventor networks as studied by patent coinventorships. Research Policy, 35(3), 412–430.

    Article  Google Scholar 

  • Fitjar, R. D., & Rodriguez-Pose, A. (2011). When local interaction does not suffice: sources of firm innovation in urban Norway. Environment and Planning A, 43(6), 866–884.

    Article  Google Scholar 

  • Florida, R. (1995). Toward the learning region. Futures, 27(5), 527–536.

    Article  Google Scholar 

  • Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215–239.

    Article  Google Scholar 

  • Frenken, K., Hoekman, J., Kok, S., Ponds, R., van Oort, F., & van Vliet, J. (2009). Death of distance in science? A gravity approach to research collaboration. In A. Pyka & A. Scharnhorst (Eds.), Innovation networks: New approaches in modelling and analyzing. Berlin: Springer.

    Google Scholar 

  • Fromhold-Eisebith, M. (2004). Innovative milieu and social capital—Complementary or redundant concepts of collaboration-based regional development? European Planning Studies, 12(6), 747–765.

    Article  Google Scholar 

  • Gao, X., Guan, J., & Rousseau, R. (2011). Mapping collaborative knowledge production in China using patent co-inventorships. Scientometrics, 88(2), 343–362.

    Article  Google Scholar 

  • Gertler, M. S., & Levitte, Y. M. (2005). Local nodes in global networks: The geography of knowledge flows in biotechnology innovation. Industry and Innovation, 12(4), 487–507.

    Article  Google Scholar 

  • Grabher, G., & Ibert, O. (2006). Bad company? The ambiguity of personal knowledge networks. Journal of Economic Geography, 6(3), 251–271.

    Article  Google Scholar 

  • Guan, J., Zhang, J., & Yan, Y. (2015). The impact of multilevel networks on innovation. Research Policy, 44(3), 545–559.

    Article  Google Scholar 

  • Guimera, R., & Amaral, L. A. N. (2004). Modeling the world-wide airport network. The European Physical Journal B-Condensed Matter and Complex Systems, 38(2), 381–385.

    Article  Google Scholar 

  • Hassink, R., & Klaerding, C. (2012). The end of the learning region as we knew it; towards learning in space. Regional Studies, 46(8), 1055–1066.

    Article  Google Scholar 

  • Herstad, S. J., Aslesen, H. W., & Ebersberger, B. (2014). On industrial knowledge bases, commercial opportunities and global innovation network linkages. Research Policy, 43(3), 495–504.

    Article  Google Scholar 

  • Hoekman, J., Frenken, K., & Tijssen, R. J. (2010). Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe. Research Policy, 39(5), 662–673.

    Article  Google Scholar 

  • Hoekman, J., Frenken, K., & van Oort, F. (2009). The geography of collaborative knowledge production in Europe. The Annals of Regional Science, 43(3), 721–738.

    Article  Google Scholar 

  • Katz, J. (1994). Geographical proximity and scientific collaboration. Scientometrics, 31(1), 31–43.

    Article  Google Scholar 

  • Krätke, S. (2010). Regional knowledge networks: A network analysis approach to the interlinking of knowledge resources. European Urban and Regional Studies, 17(1), 83–97.

    Article  Google Scholar 

  • LeSage, J. P., Fischer, M. M., & Scherngell, T. (2007). Knowledge spillovers across Europe: Evidence from a Poisson spatial interaction model with spatial effects. Papers in Regional Science, 86(3), 393–421.

    Article  Google Scholar 

  • Liu, H., & Jiang, Y. (2001). Technology transfer from higher education institutions to industry in China: Nature and implications. Technovation, 21(3), 175–188.

    Article  Google Scholar 

  • Lundvall, B. A. (1992). National systems of innovation: An analytical framework. London: Pinter.

    Google Scholar 

  • Ma, H., Fang, C., Pang, B., & Li, D. (2014). The effect of geographical proximity on scientific cooperation among Chinese cities from 1990 to 2010. PLoS One, 9(11), e111705.

    Article  Google Scholar 

  • Ma, R., Liu, F., & Sun, Y. (2013). Collaboration partner portfolio along the growth of Chinese firms’ innovation capability: Configuration, evolution and pattern. International Journal of Technology Management, 62(2/3/4), 152–176.

    Article  Google Scholar 

  • Maggioni, M. A., & Uberti, T. E. (2009). Knowledge networks across Europe: Which distance matters? The Annals of Regional Science, 43(3), 691–720.

    Article  Google Scholar 

  • Maggioni, M. A., Uberti, T. E., & Usai, S. (2011). Treating patents as relational data: Knowledge transfers and spillovers across Italian provinces. Industry and Innovation, 18(1), 39–67.

    Article  Google Scholar 

  • Martin, R., & Sunley, P. (2006). Path dependence and regional economic evolution. Journal of Economic Geography, 6(4), 395–437.

    Article  Google Scholar 

  • Mathieu, E. J., Heffner, S. T., Goodwin, F. G., Salas, E., & Cannon-Bowers, A. J. (2000). The influence of shared mental models on team process and performance. Journal of Applied Psychology, 85(2), 273–283.

    Article  Google Scholar 

  • Morescalchi, A., Pammolli, F., Penner, O., Petersen, A. M., & Riccaboni, M. (2015). The evolution of networks of innovators within and across borders: Evidence from patent data. Research Policy, 44(3), 651–668.

    Article  Google Scholar 

  • Morgan, K. (2004). The exaggerated death of geography: Learning, proximity and territorial innovation system. Journal of Economic Geography, 4(1), 3–21.

    Article  Google Scholar 

  • Orsenigo, L., Pammolli, F., & Riccaboni, M. (2001). Technological change and network dynamics: Lessons from the pharmaceutical industry. Research Policy, 30(3), 485–508.

    Article  Google Scholar 

  • Porter, M. E. (1994). The role of location in competition. Journal of the Economics of Business, 1(1), 35–39.

    Article  Google Scholar 

  • Porter, M. E. (1998). Clusters and the new economics of competition. Harvard Business Review, 76(6), 77–90.

    Google Scholar 

  • Scott, J. (1991). Social network analysis: A handbook. London: Sage Publications.

    Google Scholar 

  • Sebestyén, T., & Varga, A. (2013). Research productivity and the quality of interregional knowledge networks. The Annals of Regional Science, 51(1), 155–189.

    Article  Google Scholar 

  • Sun, Y., & Cao, C. (2015). Intra-and inter-regional research collaboration across organizational boundaries: Evolving patterns in China. Technological Forecasting and Social Change, 96(7), 215–231.

    Article  Google Scholar 

  • Wang, Y., Pan, X., Ning, L., Li, J., & Chen, J. (2015). Technology exchange patterns in China: An analysis of regional data. The Journal of Technology Transfer, 40(2), 252–272.

    Article  Google Scholar 

  • Wang, Z. Z., & Zhu, J. J. (2014). Homophily versus preferential attachment: Evolutionary mechanisms of scientific collaboration networks. International Journal of Modern Physics C, 25(05), 1440014.

    Article  Google Scholar 

  • Wanzenböck, I., Scherngell, T., & Brenner, T. (2014). Embeddedness of regions in European knowledge networks: A comparative analysis of inter-regional R&D collaborations, co-patents and co-publications. The Annals of Regional Science, 53(2), 337–368.

    Article  Google Scholar 

  • Wennekers, S., Van Wennekers, A., Thurik, R., & Reynolds, P. (2005). Nascent entrepreneurship and the level of economic development. Small Business Economics, 24(3), 293–309.

    Article  Google Scholar 

  • Zhang, G., Duan, H., & Zhou, J. (2016). Investigating determinants of inter-regional technology transfer in China: A network analysis with provincial patent data. Review of Managerial Science, 10(2), 345–364.

    Article  Google Scholar 

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Acknowledgments

This work has been supported by the National Natural Science Foundation of China (71203020), the EU 7th Framework Programme–Marie Curie International Incoming Fellowship (302303/911303), the Fundamental Research Funds for the Central Universities (DUT15ZD111) and Liaoning Science and Technology Plan Projects (2015401039).

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  1. Faculty of Management and Economics, Dalian University of Technology, Dalian, China

    Yutao Sun

  2. School of Transportation and Logistics, Dalian University of Technology, Dalian, China

    Kai Liu

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  1. Yutao Sun
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Correspondence to Yutao Sun.

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Sun, Y., Liu, K. Proximity effect, preferential attachment and path dependence in inter-regional network: a case of China’s technology transaction. Scientometrics 108, 201–220 (2016). https://doi.org/10.1007/s11192-016-1951-0

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