IDEAS home Printed from https://ideas.repec.org/a/bla/growch/v51y2020i4p1631-1656.html
   My bibliography  Save this article

What does the character of urban technology reveals about convergence versus divergence of innovation in China?—A technical lens to evaluate regional economic development

Author

Listed:
  • Xiangdong Chen
  • Ping Lv
  • Shaofang Xue
  • Ming Li

Abstract

Regional technology characters (TCs) are studied in this paper to find whether innovation in Chinese cities leads to technology converging, or technology divergence, in both the intra‐city and inter‐city scales, with which regional economic development strength may be better explained. Based on a literature review on the subject, a two‐dimensional research framework and relevant technical lens are designed to clarify TC in cities composed of parameters on Technology Strength (TS) versus Technology Angle (TA). By applying Principle Component Analysis, a technical lens is made possible based on extracted parameters on three integrated technology dimensions for measuring TSs and TAs over 117 Chinese sample cities with invention patent data covering 21 technology field between 2005/2006 and 2015/2016. Technology convergence versus divergence are examined for 28/24 sample cities beyond average score, and the research findings indicate that technology divergence in Chinese cities can be confirmed at the inter‐city level, even partially at the intra‐city level. This finding holds for most sample cities with fairly large and modest TSs, while intra‐city technology converging is significant, especially for larger sized TS samples, however they also differ on different dimensions. This may imply that urban economic development in China is technical based and differentiated.

Suggested Citation

  • Xiangdong Chen & Ping Lv & Shaofang Xue & Ming Li, 2020. "What does the character of urban technology reveals about convergence versus divergence of innovation in China?—A technical lens to evaluate regional economic development," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1631-1656, December.
  • Handle: RePEc:bla:growch:v:51:y:2020:i:4:p:1631-1656
    DOI: 10.1111/grow.12433
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/grow.12433
    Download Restriction: no

    File URL: https://libkey.io/10.1111/grow.12433?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gambardella, Alfonso & Torrisi, Salvatore, 1998. "Does technological convergence imply convergence in markets? Evidence from the electronics industry," Research Policy, Elsevier, vol. 27(5), pages 445-463, September.
    2. Giulio Cainelli & Roberto Ganau & Marco Modica, 2019. "Industrial relatedness and regional resilience in the European Union," Papers in Regional Science, Wiley Blackwell, vol. 98(2), pages 755-778, April.
    3. Peneder, Michael, 2010. "Technological regimes and the variety of innovation behaviour: Creating integrated taxonomies of firms and sectors," Research Policy, Elsevier, vol. 39(3), pages 323-334, April.
    4. Perruchas, François & Consoli, Davide & Barbieri, Nicolò, 2020. "Specialisation, diversification and the ladder of green technology development," Research Policy, Elsevier, vol. 49(3).
    5. David J. Teece, 2003. "Towards an Economic Theory of the Multiproduct Firm," World Scientific Book Chapters, in: Essays In Technology Management And Policy Selected Papers of David J Teece, chapter 15, pages 419-446, World Scientific Publishing Co. Pte. Ltd..
    6. Blind, Knut & Grupp, Hariolf, 1999. "Interdependencies between the science and technology infrastructure and innovation activities in German regions: empirical findings and policy consequences," Research Policy, Elsevier, vol. 28(5), pages 451-468, June.
    7. Markus Grillitsch & Bjørn Asheim & Michaela Trippl, 2018. "Unrelated knowledge combinations: the unexplored potential for regional industrial path development," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 11(2), pages 257-274.
    8. Liang, Jiaochen & Goetz, Stephan J., 2018. "Technology intensity and agglomeration economies," Research Policy, Elsevier, vol. 47(10), pages 1990-1995.
    9. Grupp, Hariolf, 1994. "The measurement of technical performance of innovations by technometrics and its impact on established technology indicators," Research Policy, Elsevier, vol. 23(2), pages 175-193, March.
    10. Ron Boschma & Simona Iammarino, 2009. "Related Variety, Trade Linkages, and Regional Growth in Italy," Economic Geography, Clark University, vol. 85(3), pages 289-311, July.
    11. Kevin Morgan, 1997. "The Learning Region: Institutions, Innovation and Regional Renewal," Regional Studies, Taylor & Francis Journals, vol. 31(5), pages 491-503.
    12. Agrawal, Ajay & Cockburn, Iain, 2003. "The anchor tenant hypothesis: exploring the role of large, local, R&D-intensive firms in regional innovation systems," International Journal of Industrial Organization, Elsevier, vol. 21(9), pages 1227-1253, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yunwei Li & Wenjing Long & Xiao Ning & Yumeng Zhu & Yifan Guo & Zhou Huang & Yu Hao, 2022. "How can China's sustainable development be damaged in consequence of financial misallocation? Analysis from the perspective of regional innovation capability," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3649-3668, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Apa, Roberta & De Noni, Ivan & Orsi, Luigi & Sedita, Silvia Rita, 2018. "Knowledge space oddity: How to increase the intensity and relevance of the technological progress of European regions," Research Policy, Elsevier, vol. 47(9), pages 1700-1712.
    2. Zabala-Iturriagagoitia, Jon Mikel & Porto Gómez, Igone & Aguirre Larracoechea, Urko, 2020. "Technological diversification: a matter of related or unrelated varieties?," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    3. Thomas Bolli & Martin Woerter, 2013. "Technological Diversification and Innovation Performance," KOF Working papers 13-336, KOF Swiss Economic Institute, ETH Zurich.
    4. Diogo Ferraz & Fernanda P. S. Falguera & Enzo B. Mariano & Dominik Hartmann, 2021. "Linking Economic Complexity, Diversification, and Industrial Policy with Sustainable Development: A Structured Literature Review," Sustainability, MDPI, vol. 13(3), pages 1-29, January.
    5. Duygu Buyukyazici & Leonardo Mazzoni & Massimo Riccaboni & Francesco Serti, 2022. "Workplace Skills as Regional Capabilities: Relatedness, Complexity and Industrial Diversification of Regions," Papers in Evolutionary Economic Geography (PEEG) 2210, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2022.
    6. Ron Boschma & Ron Martin, 2010. "The Aims and Scope of Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 1, Edward Elgar Publishing.
    7. Rui Baptista & Murat Karaöz & João Correia Leitão, 2020. "Diversification by young, small firms: the role of pre-entry resources and entry mistakes," Small Business Economics, Springer, vol. 55(1), pages 103-122, June.
    8. Blind, Knut & Grupp, Hariolf, 1999. "Interdependencies between the science and technology infrastructure and innovation activities in German regions: empirical findings and policy consequences," Research Policy, Elsevier, vol. 28(5), pages 451-468, June.
    9. David Rigby, 2012. "The Geography of Knowledge Relatedness and Technological Diversification in U.S. Cities," Papers in Evolutionary Economic Geography (PEEG) 1218, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2012.
    10. André Spithoven & Bruno Merlevede, 2023. "The productivity impact of R&D and FDI spillovers: characterising regional path development," The Journal of Technology Transfer, Springer, vol. 48(2), pages 560-590, April.
    11. Choi, Mincheol & Lee, Chang-Yang, 2021. "Technological diversification and R&D productivity: The moderating effects of knowledge spillovers and core-technology competence," Technovation, Elsevier, vol. 104(C).
    12. Favaro, Donata & Ninka, Eniel & Turvani, Margherita, 2012. "Productivity in innovation: the role of inventor connections and mobility," MPRA Paper 38950, University Library of Munich, Germany.
    13. Park, Jeong-Il, 2020. "Industrial diversity in building units and factors associated with diversity: A case study of the Seoul Metropolitan Area," Research Policy, Elsevier, vol. 49(5).
    14. Dibiaggio, Ludovic & Nasiriyar, Maryam & Nesta, Lionel, 2014. "Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies," Research Policy, Elsevier, vol. 43(9), pages 1582-1593.
    15. Patrycjusz Zarębski & Dominik Katarzyński, 2023. "A Theoretical Framework for a Local Energy Innovation System Based on the Renewable Energy Case of Poland," Energies, MDPI, vol. 16(9), pages 1-24, April.
    16. Janger, Jürgen & Schubert, Torben & Andries, Petra & Rammer, Christian & Hoskens, Machteld, 2017. "The EU 2020 innovation indicator: A step forward in measuring innovation outputs and outcomes?," Research Policy, Elsevier, vol. 46(1), pages 30-42.
    17. Jan Youtie & Philip Shapira, 2008. "Mapping the nanotechnology enterprise: a multi-indicator analysis of emerging nanodistricts in the US South," The Journal of Technology Transfer, Springer, vol. 33(2), pages 209-223, April.
    18. Tan Tran, 2020. "R&D and Knowledge Expertise of French Regions," Papers in Evolutionary Economic Geography (PEEG) 2004, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2020.
    19. Kim, Seung Hwan & Jun, Bogang & Lee, Jeong-Dong, 2021. "Technological relatedness: How do firms diversify their technology?," SocArXiv 47ank, Center for Open Science.
    20. Markus Grillitsch & Roman Martin & Martin Srholec, 2017. "Knowledge Base Combinations and Innovation Performance in Swedish Regions," Economic Geography, Taylor & Francis Journals, vol. 93(5), pages 458-479, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:growch:v:51:y:2020:i:4:p:1631-1656. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.