In Table , we see that, at the Gt-CO2 year -1 scale, the cost reductions achieved by the RAB model and CfDs for the MgO ambient weathering and KOH-Ca looping processes are more prominent than for the more modular technologies. This is because the technologies have lower learning rates and have undergone fewer doublings. Hence, they retain a higher proportion of their costs as capital costs, which are the costs impacted by a reduction in the discount rate achieved by these policies. Nevertheless, for all technologies, these two policies have a considerable impact at the Gt-CO2 year -1 scale, with median reductions of up to 3% and 17% for CfDs and a RAB model, respectively, in the case of the MgO with ambient weathering process. If we make an analogy with the electricity market, for example, a reduction of 17% in cost would have a significant and positive impact on the consumer. In the case of a RAB model, the extra cost is to organise the regulatory body to regulate a centralised market. So, this cost would need to be balanced against the cost reductions achieved. There are promising approaches to encourage the scale-up and drive future cost reductions of DACS.