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Technology network structure conditions the economic resilience of regions

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  • Gergo Toth
  • Zoltan Elekes
  • Adam Whittle
  • Changjun Lee
  • Dieter F. Kogler

Abstract

This paper assesses the network robustness of the technological capability base of 269 European metropolitan areas against the potential elimination of some of their capabilities. By doing so it provides systematic evidence on how network robustness conditioned the economic resilience of these regions in the context of the 2008 economic crisis. The analysis concerns calls in the relevant literature for more in-depth analysis on the link between regional economic network structures and the resilience of regions to economic shocks. By adopting a network science approach that is novel to economic geographic inquiry, the objective is to stress-test the technological resilience of regions by utilizing information on the co-classification of CPC classes listed on European Patent Office patent documents. Findings from a regression analysis indicate that metropolitan regions with a more robust technological knowledge network structure exhibit higher levels of resilience with respect to changes in employment rates. This finding is robust to various random and targeted elimination strategies concerning the most frequently combined technological capabilities. Regions with high levels of employment in industry but with vulnerable technological capability base are particularly challenged by this aspect of regional economic resilience.

Suggested Citation

  • Gergo Toth & Zoltan Elekes & Adam Whittle & Changjun Lee & Dieter F. Kogler, 2020. "Technology network structure conditions the economic resilience of regions," Papers in Evolutionary Economic Geography (PEEG) 2048, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2020.
  • Handle: RePEc:egu:wpaper:2048
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    3. Yu, Zehui & Li, Yiming & Dai, Lihua, 2023. "Digital finance and regional economic resilience: Theoretical framework and empirical test," Finance Research Letters, Elsevier, vol. 55(PA).
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    5. Ruoxi Yu & Xingneng Xia & Tao Huang & Sheng Zhang & Wenguang Zhou, 2024. "Has the Establishment of High-Tech Zones Improved Urban Economic Resilience? Evidence from Prefecture-Level Cities in China," Land, MDPI, vol. 13(2), pages 1-24, February.
    6. Ryan M. Hynes & Bernardo S. Buarque & Ronald B. Davies & Dieter F. Kogler, 2020. "Hops, Skip & a Jump - The Regional Uniqueness of Beer Styles," Working Papers 202013, Geary Institute, University College Dublin.
    7. Zoltan Elekes & Anna Baranowska-Rataj & Rikard Eriksson, 2021. "Local access to skill-related high-income jobs facilitates career advancement for low-wage workers," Papers in Evolutionary Economic Geography (PEEG) 2136, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2021.
    8. Du, Yanan & Wang, Qingxi & Zhou, Jianping, 2023. "How does digital inclusive finance affect economic resilience: Evidence from 285 cities in China," International Review of Financial Analysis, Elsevier, vol. 88(C).
    9. Fabien Petit & Florencia Jaccoud & Tommaso Ciarli, 2023. "Heterogeneous Adjustments of Labor Markets to Automation Technologies," CESifo Working Paper Series 10237, CESifo.
    10. Muxi Yang & Guofang Zhai, 2024. "Measurement and Influencing Factors of Economic Resilience over a Long Duration of COVID-19: A Case Study of the Yangtze River Delta, China," Land, MDPI, vol. 13(2), pages 1-22, February.
    11. Duan, Wenqi & Madasi, Joseph David & Khurshid, Adnan & Ma, Dan, 2022. "Industrial structure conditions economic resilience," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    12. Olena Khlystova & Yelena Kalyuzhnova, 2023. "The impact of the creative industries and digitalization on regional resilience and productive entrepreneurship," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1654-1695, October.
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    More about this item

    Keywords

    regional economic resilience; network robustness; metropolitan regions; technology space;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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