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Quantifying urban economic resilience through labour force interdependence

Author

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  • Shade T Shutters

    (Global Security Initiative, Arizona State University, Tempe, USA)

  • Rachata Muneepeerakul

    (School of Sustainability, Arizona State University, Tempe, USA (e-mail: rachata.muneepeerakul@asu.edu))

  • José Lobo

    (School of Human Evolution and Social Change, Arizona State University, Tempe, USA (e-mail: jose.lobo@asu.edu))

Abstract

Resilience is increasing rapidly as a framework to understand and manage coupled human–natural systems. Yet the concept of resilience is rarely quantified. Here we quantify system resilience by operationalizing the notion of system tightness. Multiple resilience frameworks recognize the strong relationship between system tightness and resilience, though they differ on the directionality of that relationship. Thus, by measuring the system tightness we ultimately measure urban economic resilience, with the added benefit of empirically determining the directionality of the relationship between tightness and resilience. We then assess how well this measure predicts the response of urban economies to the recent so-called Great Recession. Results show that cities with lower tightness (higher resilience) fared better during the recession with respect to several economic productivity measures. However, in the absence of shocks, those with higher tightness (lower resilience) exhibit superior economic performance. Thus, a tradeoff between efficiency and resilience is nicely reflected in the empirical data. Although this study deals with economic shocks, quantitative metrics based on its methodology may help anticipate a city’s response to shocks more generally, such as natural disasters, climate change, social unrest or significant policy shifts.

Suggested Citation

  • Shade T Shutters & Rachata Muneepeerakul & José Lobo, 2015. "Quantifying urban economic resilience through labour force interdependence," Palgrave Communications, Palgrave Macmillan, vol. 1(palcomms2), pages 15010-15010, May.
    • Handle: RePEc:pal:palcom:v:2015:y:2015:i:palcomms201510:p:15010-
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    Citations

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    Cited by:

    1. Shutters, Shade T. & Seibert, Holger & Alm, Bastian & Waters, Keith, 2021. "Industry interconnectedness and regional economic growth in Germany," IAB-Discussion Paper 202107, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Yi Liu & Tiantian Gu & Lingzhi Li & Peng Cui & Yan Liu, 2023. "Measuring the Urban Resilience Abased on Geographically Weighted Regression (GWR) Model in the Post-Pandemic Era: A Case Study of Jiangsu Province, China," Land, MDPI, vol. 12(7), pages 1-19, July.
    3. Teresa Farinha & Pierre-Alexandre Balland & Andrea Morrison & Ron Boschma, 2019. "What drives the geography of jobs in the US? Unpacking relatedness," Industry and Innovation, Taylor & Francis Journals, vol. 26(9), pages 988-1022, October.
    4. Benedikt S. L. Fritz & Robert A. Manduca, 2019. "The Economic Complexity of US Metropolitan Areas," Papers 1901.08112, arXiv.org.
    5. Emelie Hane-Weijman & Rikard H. Eriksson & David Rigby, 2020. "How do occupational relatedness and complexity condition employment dynamics in periods of growth and recession?," Papers in Evolutionary Economic Geography (PEEG) 2011, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2020.
    6. Shade T. Shutters & Srinivasa S. Kandala & Fangwu Wei & Ann P. Kinzig, 2021. "Resilience of Urban Economic Structures Following the Great Recession," Sustainability, MDPI, vol. 13(4), pages 1-11, February.
    7. Peng Cui & Yi Liu & Xuan Ju & Tiantian Gu, 2022. "Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    8. Jia Lv & Hao Zeng & Zhi Liu, 2023. "The Impact of Green Innovation Capacity on Urban Economic Resilience: Evidence from China’s Yangtze River Delta Region," Sustainability, MDPI, vol. 15(21), pages 1-28, October.
    9. Qingchun Li & Shangjia Dong & Ali Mostafavi, 2019. "Modeling of inter-organizational coordination dynamics in resilience planning of infrastructure systems: A multilayer network simulation framework," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-21, November.
    10. Mikhail Rogov & Céline Rozenblat, 2018. "Urban Resilience Discourse Analysis: Towards a Multi-Level Approach to Cities," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    11. Kitsos, Anastasios & Grabner, Simone Maria & Incera, Andre Carrascal, 2022. "The role of embeddedness in regional economic resistance," SocArXiv b759j, Center for Open Science.

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