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Firm-level supply chains to minimize unemployment and economic losses in rapid decarbonization scenarios

Author

Listed:
  • Johannes Stangl

    (Complexity Science Hub Vienna)

  • András Borsos

    (Complexity Science Hub Vienna
    National Bank of Hungary)

  • Christian Diem

    (Complexity Science Hub Vienna)

  • Tobias Reisch

    (Complexity Science Hub Vienna)

  • Stefan Thurner

    (Complexity Science Hub Vienna
    Medical University of Vienna
    Santa Fe Institute
    Supply Chain Intelligence Institute Austria)

Abstract

Urgently needed carbon emissions reductions might lead to strict command-and-control decarbonization strategies with potentially negative economic consequences. Analysing the entire firm-level production network of a European economy, we have explored how the worst outcomes of such approaches can be avoided. We compared the systemic relevance of every firm in Hungary with its annual CO2 emissions to identify optimal emission-reducing strategies with a minimum of additional unemployment and economic losses. Setting specific reduction targets, we studied various decarbonization scenarios and quantified their economic consequences. We determined that for an emissions reduction of 20%, the most effective strategy leads to losses of about 2% of jobs and 2% of economic output. In contrast, a naive scenario targeting the largest emitters first results in 28% job losses and 33% output reduction for the same target. This demonstrates that it is possible to use firm-level production networks to design highly effective decarbonization strategies that practically preserve employment and economic output.

Suggested Citation

  • Johannes Stangl & András Borsos & Christian Diem & Tobias Reisch & Stefan Thurner, 2024. "Firm-level supply chains to minimize unemployment and economic losses in rapid decarbonization scenarios," Nature Sustainability, Nature, vol. 7(5), pages 581-589, May.
  • Handle: RePEc:nat:natsus:v:7:y:2024:i:5:d:10.1038_s41893-024-01321-x
    DOI: 10.1038/s41893-024-01321-x
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