IDEAS home Printed from https://ideas.repec.org/a/taf/tcpoxx/v22y2022i3p320-338.html
   My bibliography  Save this article

Industrial clustering as a barrier and an enabler for deep emission reduction: a case study of a Dutch chemical cluster

Author

Listed:
  • Zahra Janipour
  • Vincent de Gooyert
  • Mark Huijbregts
  • Heleen de Coninck

Abstract

Industrial clusters are considered more resource- and greenhouse gas-efficient than stand-alone industrial plants, but clustering may also act as a barrier to radical changes required for deep greenhouse gas emission reductions. Here we explore how clustering in an energy-intensive chemical industry cluster may influence attainability of the deep emission reduction targets. Chemelot, located in the southeast of the Netherlands, was willing to collaborate and we adopt a qualitative system dynamics approach based on expert interviews and group model building sessions. We found that clustering may hinder reaching deep emission reductions by three reinforcing feedback mechanisms, or ‘traps’, related to: incremental changes; short-term focus; and companies acting alone. The system dynamics analysis also identified potential mechanisms to escape from these traps, notably: (1) increasing cluster autonomy; (2) activating public support; (3) promoting changes in the supply chain; and (4) attracting long-term investors. The findings can inform policymakers on how to steer industrial clusters towards deep emission reductions, and support industrial cluster decision-makers on both internal and external strategies.Key policy insightsIndustrial clustering may offer opportunities to accelerate deep greenhouse gas emission reductions, but it could also cause carbon lock-in because of increased physical and organizational interdependency, which favours incremental changes, short-term focus, and solitary actions rather than collective actions, at the cost of deep greenhouse gas emission reductions.To fully exploit the potential benefits of industrial clustering for greenhouse gas emission reductions, policies need to take into account the causal relations that operate in a self-reinforcing way to lock the cluster into high greenhouse gas emissions, and that can help escape them.A coordinating authority operating across the cluster is necessary to ensure effective collaboration within a chemical cluster so as to escape carbon lock-in.Policies addressing emissions along the full value chain (i.e. to include scope 3) might be mutually beneficial with the circularity and low-emission ambitions of the chemical industry.

Suggested Citation

  • Zahra Janipour & Vincent de Gooyert & Mark Huijbregts & Heleen de Coninck, 2022. "Industrial clustering as a barrier and an enabler for deep emission reduction: a case study of a Dutch chemical cluster," Climate Policy, Taylor & Francis Journals, vol. 22(3), pages 320-338, March.
  • Handle: RePEc:taf:tcpoxx:v:22:y:2022:i:3:p:320-338
    DOI: 10.1080/14693062.2022.2025755
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14693062.2022.2025755
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14693062.2022.2025755?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matthew P. Johnson & Theresa S. Rötzel & Brigitte Frank, 2023. "Beyond conventional corporate responses to climate change towards deep decarbonization: a systematic literature review," Management Review Quarterly, Springer, vol. 73(2), pages 921-954, June.
    2. Clara Privato & Matthew P. Johnson & Timo Busch, 2024. "Raising the bar: What determines the ambition level of corporate climate targets?," Climatic Change, Springer, vol. 177(9), pages 1-24, September.

    More about this item

    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:taf:tcpoxx:v:22:y:2022:i:3:p:320-338. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tcpo20 .

    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.