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

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.

Automated summary

The study examines the impact of clustering in an energy-intensive chemical industry cluster on achieving deep emission reduction targets and identifies barriers and potential solutions for overcoming these barriers.