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Contagious disruptions and complexity traps in economic development

Author

Listed:
  • Charles Brummitt

    (Columbia University [New York], HMS - Harvard Medical School [Boston])

  • Kenan Huremović

    (IMT - School for Advanced Studies Lucca, AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Paolo Pin

    (Innocenzo Gasparini Institute for Economic Research - Bocconi University [Milan, Italy], BIDSA - Bocconi Institute for Data Science and Analytics - Bocconi University [Milan, Italy])

  • Matthew Bonds

    (HMS - Harvard Medical School [Boston])

  • Fernando Vega-Redondo

    (Innocenzo Gasparini Institute for Economic Research - Bocconi University [Milan, Italy], BIDSA - Bocconi Institute for Data Science and Analytics - Bocconi University [Milan, Italy])

Abstract

Poor economies not only produce less; they typically produce things that involve fewer inputs and fewer intermediate steps. Yet the supply chains of poor countries face more frequent disruptions—delivery failures, faulty parts, delays, power outages, theft and government failures—that systematically thwart the production process. To understand how these disruptions affect economic development, we modelled an evolving input–output network in which disruptions spread contagiously among optimizing agents. The key finding was that a poverty trap can emerge: agents adapt to frequent disruptions by producing simpler, less valuable goods, yet disruptions persist. Growing out of poverty requires that agents invest in buffers to disruptions. These buffers rise and then fall as the economy produces more complex goods, a prediction consistent with global patterns of input inventories. Large jumps in economic complexity can backfire. This result suggests why ‘big push' policies can fail and it underscores the importance of reliability and gradual increases in technological complexity.

Suggested Citation

  • Charles Brummitt & Kenan Huremović & Paolo Pin & Matthew Bonds & Fernando Vega-Redondo, 2017. "Contagious disruptions and complexity traps in economic development," Post-Print hal-03589004, HAL.
  • Handle: RePEc:hal:journl:hal-03589004
    DOI: 10.1038/s41562-017-0190-6
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    Cited by:

    1. Elliott, M. & Jackson, M. O., 2024. "Supply Chain Disruptions, the Structure of Production Networks, and the Impact of Globalization," Cambridge Working Papers in Economics 2424, Faculty of Economics, University of Cambridge.
    2. Aymeric Vié & Alfredo J. Morales, 2021. "How Connected is Too Connected? Impact of Network Topology on Systemic Risk and Collapse of Complex Economic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1327-1351, April.
    3. Dam, Alje van & Frenken, Koen, 2022. "Variety, complexity and economic development," Research Policy, Elsevier, vol. 51(8).
    4. Alje van Dam & Koen Frenken, 2020. "Vertical vs. Horizontal Policy in a Capabilities Model of Economic Development," Papers in Evolutionary Economic Geography (PEEG) 2037, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2020.
    5. Matthew Elliott & Benjamin Golub & Matthew V. Leduc, 2022. "Supply Network Formation and Fragility," American Economic Review, American Economic Association, vol. 112(8), pages 2701-2747, August.
    6. Koen Frenken & Frank Neffke & Alje van Dam, 2023. "Capabilities, institutions and regional economic development: a proposed synthesis," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 16(3), pages 405-416.
    7. Vanessa Echeverri & Juan C. Duque & Daniel E. Restrepo, 2021. "Identifying poverty traps based on the network structure of economic output," Papers 2108.05488, arXiv.org, revised Aug 2021.
    8. Xiaolan Zhou & Yasuyuki Sawada & Matthew Shum & Elaine S. Tan, 2024. "COVID-19 containment policies, digitalization and sustainable development goals: evidence from Alibaba’s administrative data," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    9. Jin, Wenwan & Zhu, Shengjun & Li, Deyu & He, Canfei, 2025. "Transcending the geographical stickiness of complex economic activities via strategic unrelated diversification," Structural Change and Economic Dynamics, Elsevier, vol. 73(C), pages 65-76.

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