DELIVERING THE CIRCULAR ECONOMY A TOOLKIT FOR POLICYMAKERS
20150924_Policymakers-Toolkit_Active-links
20150924_Policymakers-Toolkit_Active-links
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<strong>DELIVERING</strong> <strong>THE</strong> <strong>CIRCULAR</strong> <strong>ECONOMY</strong> – A <strong>TOOLKIT</strong> <strong>FOR</strong> <strong>POLICYMAKERS</strong> • 169<br />
• Energy sector assumptions remain the same between the baseline and the circular<br />
economy scenarios (i.e. no explicit modelling of an additional shift towards<br />
renewable energy).<br />
Each circular economy scenario is represented by producing an input-output table that<br />
represents the changes induced by the circular economy opportunities, quantified as<br />
described in section 2.2.3. The allocation of changes in input factors (labour, materials,<br />
energy and capital) was done based on an analysis of the changes in demand due to the<br />
circular economy activities, 2 and from which sectors’ key material inputs are provided in<br />
the current (2011) input-output table.<br />
The main difference between the ‘conservative’ and ‘ambitious’ scenarios are how the<br />
impact assessed for the deep-dive sub-sector is scaled up to adjacent (sub-)sectors.<br />
This difference is described in detail in Appendix B.<br />
Several data sources were combined to construct the baseline calibration and circular<br />
economy scenario analysis. These are summarised in Figure C5.<br />
D<br />
Assessment of policy options<br />
Figure D1 provides an overview of the basic arithmetic of the policy assessment tool<br />
developed for the Denmark pilot study. The tool is a workbook that contains 87 policy<br />
interventions identified to address the barriers to the circular economy opportunities<br />
in the five focus sectors. The goal of the tool is to rank the policies by their relative<br />
cost-effectiveness using a semi-quantitative scoring function. This is done by scoring<br />
each intervention on two dimensions, ‘impact’ and ‘cost’, from which a weighted ‘costeffectiveness<br />
score’ is derived.<br />
The development and implementation of the tool described here is one of many<br />
alternatives that policymakers can use as a first step to narrow down a long list of policy<br />
options to those with the best potential to address the barriers to circular economy<br />
opportunities. It should be noted that the main benefit of this tool was that it facilitated<br />
discussion. Ultimately, the final sets of policy options for each sector as presented in<br />
Part 3 of this report were determined with the help of significant input from government<br />
stakeholders and sector experts. While the approach outlined here is a useful first step, it<br />
is underlined that it is not meant as a substitute for adequate due diligence and impact<br />
assessment in the standard policy making process.<br />
The scoring rules and methodology used to arrive at a prioritised set of policy options<br />
are described in detail below. Each policy intervention was scored independently of<br />
others, i.e. not allowing them to work in conjunction with any other policy, but keeping<br />
in mind their potential to work well as part of a package. All scores are relative, with<br />
comparisons made across several dimensions including policy types, circular economy<br />
opportunities and sectors to ensure adequate scoring distributions.<br />
Scoring of impact dimension<br />
The ‘impact score’ of a policy is the product of two equally weighted factors: the<br />
‘importance of a barrier’, which builds on the detailed barrier analysis described in<br />
Section 2.2.4; and the tentative effectiveness of the policy intervention at overcoming<br />
the barrier. The methodology, described in detail below, was systematically applied to<br />
all policy interventions to obtain a first set of impact scores, which were discussed and<br />
iterated in sector ‘deep dive’ sessions with multiple stakeholders.<br />
• Scoring the ‘importance of barrier’: Based on expert judgment on the size/<br />
importance of the barrier to deliver the circular economy opportunity.<br />
• Scoring the ‘effectiveness’ in 2020 and 2035: Based on an expert-guided es-<br />
2 For example: reduced demand for materials and increased demand for labour due to remanufacturing in<br />
machinery; reduced demand for labour and increased need for capital for industrialised production and 3D<br />
printing of building modules.