IDEAS home Printed from https://ideas.repec.org/p/egu/wpaper/2515.html
   My bibliography  Save this paper

KNOWLEDGE PROXIMITY AND TECHNOLOGICAL DIVERSIFICATION. The role of stability and the alternatives

Author

Listed:
  • Sergio Palomeque

Abstract

This paper examines the processes of generating new technical knowledge, aim- ing to contribute to an understanding of how less developed economies can diversify their knowledge base to support economic development. We study the structure of relatedness of required knowledge between technologies at a global level, conceived as a network where technologies are connected according to the intensity with which they co-occur in the inventors’ portfolios. Based on this, topological characteristics of the network are studied using node-level metrics to propose diversification strate- gies that alleviate the lock-in effects suffered by less developed economies. The paper contributes to the literature by proposing two indicators that can be used to analyse relevant dimensions of the innovation system of cities in less developed regions. One of the indicators enables us to compare the levels of stability of the technologies that comprise the knowledge base of the cities. The second provides a measure of the level of alternatives available to the city for each diversification decision. The results, based on the analysis of Latin American cities, show that the stability of the technologies present in a city, as well as the alternatives available to choose its diversification path, are relevant to designing diversification strategies that could contribute to overcoming the constraints generated by the characteristics of the knowledge base of those cities.

Suggested Citation

  • Sergio Palomeque, 2025. "KNOWLEDGE PROXIMITY AND TECHNOLOGICAL DIVERSIFICATION. The role of stability and the alternatives," Papers in Evolutionary Economic Geography (PEEG) 2515, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2025.
  • Handle: RePEc:egu:wpaper:2515
    as

    Download full text from publisher

    File URL: http://econ.geo.uu.nl/peeg/peeg2515.pdf
    File Function: Version June 2025
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Bjørn Asheim & Ron Boschma & Philip Cooke, 2011. "Constructing Regional Advantage: Platform Policies Based on Related Variety and Differentiated Knowledge Bases," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 893-904.
    3. Olav Sorenson & Jan W. Rivkin & Lee Fleming, 2010. "Complexity, Networks and Knowledge Flows," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 15, Edward Elgar Publishing.
    4. Ron Boschma & Pierre-Alexandre Balland & Dieter Franz Kogler, 2015. "Relatedness and technological change in cities: the rise and fall of technological knowledge in US metropolitan areas from 1981 to 2010," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 223-250.
    5. Cantner, Uwe & Graf, Holger, 2006. "The network of innovators in Jena: An application of social network analysis," Research Policy, Elsevier, vol. 35(4), pages 463-480, May.
    6. Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January.
    7. Perruchas, François & Consoli, Davide & Barbieri, Nicolò, 2020. "Specialisation, diversification and the ladder of green technology development," Research Policy, Elsevier, vol. 49(3).
    8. Cynthia A. Montgomery, 1994. "Corporate Diversificaton," Journal of Economic Perspectives, American Economic Association, vol. 8(3), pages 163-178, Summer.
    Full references (including those not matched with items on IDEAS)

    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. Pierre-Alexandre Balland & Ron Boschma & Joan Crespo & David L. Rigby, 2017. "Smart Specialization policy in the EU: Relatedness, Knowledge Complexity and Regional Diversification," Papers in Evolutionary Economic Geography (PEEG) 1717, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2017.
    2. Pintar, Nico & Scherngell, Thomas, 2022. "The complex nature of regional knowledge production: Evidence on European regions," Research Policy, Elsevier, vol. 51(8).
    3. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 52(10), pages 1-1.
    4. David L. Rigby & Christoph Roesler & Dieter Kogler & Ron Boschma & Pierre-Alexandre Balland, 2019. "Do EU regions benefit from smart specialization?," Papers in Evolutionary Economic Geography (PEEG) 1931, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2019.
    5. Bernardo Caldarola & Dario Mazzilli & Lorenzo Napolitano & Aurelio Patelli & Angelica Sbardella, 2023. "Economic complexity and the sustainability transition: A review of data, methods, and literature," Papers 2308.07172, arXiv.org, revised Mar 2024.
    6. Kolja Hesse & Dirk Fornahl, 2020. "Essential ingredients for radical innovations? The role of (un‐)related variety and external linkages in Germany," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1165-1183, October.
    7. Diego D'Adda & Donato Iacobucci & Roberto Palloni, 2020. "Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 405-425, June.
    8. Ron Boschma, 2021. "Designing Smart Specialization Policy: relatedness, unrelatedness, or what?," Papers in Evolutionary Economic Geography (PEEG) 2128, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2021.
    9. 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.
    10. Ron Boschma & Koen Frenken, 2015. "Evolutionary Economic Geography," Papers in Evolutionary Economic Geography (PEEG) 1518, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2015.
    11. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    12. Janssen, Matthijs J. & Abbasiharofteh, Milad, 2022. "Boundary spanning R&D collaboration: Key enabling technologies and missions as alleviators of proximity effects?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    13. Duygu Buyukyazici & Leonardo Mazzoni & Massimo Riccaboni & Francesco Serti, 2024. "Workplace skills as regional capabilities: relatedness, complexity and industrial diversification of regions," Regional Studies, Taylor & Francis Journals, vol. 58(3), pages 469-489, March.
    14. 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.
    15. Tom Broekel & Lars Mewes, 2017. "Analyzing the impact of R&D policy on regional diversification," Papers in Evolutionary Economic Geography (PEEG) 1726, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2017.
    16. Julia Bachtrögler-Unger & Pierre-Alexandre Balland & Ron Boschma & Thomas Schwab, 2023. "Technological Capabilities and the Twin Transition in Europe. Opportunities for Regional Collaboration and Economic Cohesion," WIFO Studies, WIFO, number 70743, June.
    17. Tubiana, Matteo & Miguelez, Ernest & Moreno, Rosina, 2022. "In knowledge we trust: Learning-by-interacting and the productivity of inventors," Research Policy, Elsevier, vol. 51(1).
    18. Simón Sánchez‐Moral & Mário Vale & Alfonso Arellano, 2022. "Skill‐Relatedness and Regional Economic Development in Spain during the International Crisis and the Post‐Crisis Period," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 573-602, June.
    19. Valentina Di Iasio & Ernest Miguelez, 2022. "The ties that bind and transform: knowledge remittances, relatedness and the direction of technical change [Brain drain or brain bank? The impact of skilled emigration on poor-country innovation]," Journal of Economic Geography, Oxford University Press, vol. 22(2), pages 423-448.
    20. Dieter F. Kogler & Jürgen Essletzbichler & David L. Rigby, 2017. "The evolution of specialization in the EU15 knowledge space," Journal of Economic Geography, Oxford University Press, vol. 17(2), pages 345-373.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:egu:wpaper:2515. 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: the person in charge The email address of this maintainer does not seem to be valid anymore. Please ask the person in charge to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/deguunl.html .

    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.