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Fill 2020 and 2021 carbon intensities by interpolation (#396) (#1639)
DEFRA's UK Carbon Footprint dataset publishes annual COICOP multipliers but only at 3-digit COICOP — aggregation to PE's 12 2-digit categories needs LCFS expenditure weighting and we don't have the methodology used to produce the existing 2019 / 2022 values in the YAML. Use linear interpolation between those two anchors as a transparent stop-gap, so simulations covering 2020 or 2021 use plausible intermediate values instead of the prior `backdate_parameters` artifact that held everything flat at 2019. Years after 2022 continue to be forward-projected at -4.9%/year via `gov.economic_assumptions.indices.carbon_intensity`, since DEFRA outturn for 2023+ has not yet been published (DEFRA runs roughly a 2.5-year lag on consumption-based emissions). Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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changelog.d/396.md

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- Fill in 2020 and 2021 carbon intensity values for all 12 consumption categories by linear interpolation between the existing DEFRA-sourced 2019 and 2022 anchors, replacing the prior `backdate_parameters` artifact that held values flat at 2019 across the gap.

policyengine_uk/parameters/household/consumption/carbon/intensity.yaml

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description: Carbon intensity by consumption type (where microsimulation data is not available)
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description: Carbon intensity by consumption type (where microsimulation data is not available). 2019 and 2022 values are sourced from the DEFRA UK Carbon Footprint dataset; 2020 and 2021 are linear-interpolated between those two points (DEFRA publishes the underlying COICOP figures, but we lack the LCFS-weighted aggregation methodology used to produce the 2-digit values for 2019 and 2022). Years after 2022 are forward-projected at -4.9%/year via `gov.economic_assumptions.indices.carbon_intensity`.
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alcohol_and_tobacco_consumption:
33
2019-01-01: 7.7e-05
4+
2020-01-01: 7.092333e-05
5+
2021-01-01: 6.484667e-05
46
2022-01-01: 0.00005877
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clothing_and_footwear_consumption:
68
2019-01-01: 0.000262
9+
2020-01-01: 0.00025086
10+
2021-01-01: 0.00023972
711
2022-01-01: 0.00022858
812
communication_consumption:
913
2019-01-01: 0.000404
14+
2020-01-01: 0.00039425
15+
2021-01-01: 0.00038449
1016
2022-01-01: 0.00037474
1117
education_consumption:
1218
2019-01-01: 0.000241
19+
2020-01-01: 0.00028874
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2021-01-01: 0.00033648
1321
2022-01-01: 0.00038422
1422
food_and_non_alcoholic_beverages_consumption:
1523
2019-01-01: 0.000689
24+
2020-01-01: 0.00062852
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2021-01-01: 0.00056804
1626
2022-01-01: 0.00050756
1727
health_consumption:
1828
2019-01-01: 0.000656
29+
2020-01-01: 0.00065116
30+
2021-01-01: 0.00064633
1931
2022-01-01: 0.00064149
2032
household_furnishings_consumption:
2133
2019-01-01: 0.000212
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2020-01-01: 0.00021016
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2021-01-01: 0.00020833
2236
2022-01-01: 0.00020649
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housing_water_and_electricity_consumption:
2438
2019-01-01: 0.0012
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2020-01-01: 0.00111799
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2021-01-01: 0.00103598
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2022-01-01: 0.00095397
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miscellaneous_consumption:
2743
2019-01-01: 0.000203
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2020-01-01: 0.00020843
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2021-01-01: 0.00021385
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2022-01-01: 0.00021928
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recreation_consumption:
3048
2019-01-01: 0.000185
49+
2020-01-01: 0.00018347
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2021-01-01: 0.00018193
3151
2022-01-01: 0.0001804
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restaurants_and_hotels_consumption:
3353
2019-01-01: 0.000311
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2020-01-01: 0.00030431
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2021-01-01: 0.00029761
3456
2022-01-01: 0.00029092
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transport_consumption:
3658
2019-01-01: 0.00107
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2020-01-01: 0.00107055
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2021-01-01: 0.00107109
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2022-01-01: 0.00107164
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metadata:
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unit: tonnes per gbp

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