Hannah Copeland, Lennart Brandt, Natalie Burr and Boromeus Wanengkirtyo

Emissions Buying and selling Schemes (ETS) are an more and more in style market-based coverage to impose a value on carbon emissions (beforehand costless to the emitter) (World Financial institution Group (2025), DESNZ (2025)). With carbon costs anticipated to extend steadily, and sectoral protection broadening, these schemes have gained the eye of financial coverage makers (Breeden (2025), Mann (2023)). However what are the implications for inflation? By establishing a brand new instrument (a high-frequency recognized ‘instrument’) to measure the influence of provide shocks within the UK carbon market, we doc {that a} tighter carbon pricing regime briefly will increase power costs and inflation, and reduces output. We discover that this shock transmits by means of a number of energy-related commodity costs, together with oil and gasoline, compounding cost-push pressures arising from the power sector.
The query
In 2022, Europe skilled essentially the most dramatic power disaster of the previous few a long time. The UK annual inflation fee rose to a 40-year excessive of 11.1%, pushed largely by a collapse in pure gasoline flows from Russia to Europe, which led to a surge in gasoline and electrical energy costs (ONS (2022)).
A lesser-documented phenomenon, nevertheless, is that carbon costs additionally rose quickly over this era (Chart 1). From a central financial institution perspective, this raises an fascinating query: might the carbon market have performed an under-acknowledged position within the 2021–23 rise and fall in power value inflation? And in that case, does the character of an power value shock matter from the angle of how financial coverage makers would possibly wish to reply? These are pertinent questions, because the UK carbon value is predicted to rise (inexperienced diamonds), and UK ETS protection to broaden, over the financial coverage horizon.
So as to add some context, in the summertime of 2022, the UK ETS carbon value had doubled relative to the earlier 12 months (orange line). Together with the Carbon Value Assist (CPS), the efficient value of carbon paid by UK energy turbines reached £115/tCo2e: a non-trivial value to electrical energy manufacturing (aqua line). Ember (2023), (2025) estimate that as electrical energy costs peaked, in August 2022, carbon accounted for roughly 13% of whole UK gas-fired and 45% of whole coal-fired era prices. Earlier than and after the power disaster interval, when gasoline costs had been decrease and extra steady, carbon emissions are estimated to have made up an excellent bigger share of general gas-fired era prices. In 2024, for instance, gas-fired turbines are estimated to have spent roughly £1 on carbon for each £2–£3 on gasoline. From March to August 2020, carbon prices are estimated to have been greater than their gasoline prices.
Chart 1: Carbon emissions allowance costs in the UK

Notes: The chart depicts the UK-relevant value. The UK ETS was established on 1 January 2021, however UK operators had been sure to adjust to the European Union (EU) scheme till the top of April 2021, and 19 Could 2021 was the primary UKA buying and selling day (UK Authorities (2021), UK ETS Authority (2023)). The UK-relevant carbon value is subsequently the EU ETS value (CFI2Zc1) transformed to GBP previous to 19 Could 2021 (purple line), and the UK ETS value (UKAFMc1) from that time (orange line). The aqua line is the efficient carbon value for the UK energy sector, ie, the ETS value plus the CPS uplift. CPS charges are taken from HMRC (2025) Desk 3. The London Inventory Trade Group (LSEG) UKA forecast (inexperienced diamonds) is in nominal phrases (adjusted for two% inflation), and is produced by the LSEG Commodities Analysis Group. Future carbon values utilized by the UK Authorities for modelling functions equally see carbon costs rise over the approaching years (see DESNZ (2024) Desk 1).
Sources: Financial institution calculations. Information from LSEG and HMRC.
The mannequin
To quantify the influence of a tightening of the carbon pricing regime on the UK macroeconomy, we estimate a vector autoregression mannequin utilizing Bayesian strategies (BVAR), partially recognized by our new UK-relevant carbon coverage shock collection (described beneath). Constructing on the methodology developed by Arias et al (2021), the proxy is launched as an exterior instrument. The BVAR is estimated in log-levels, utilizing month-to-month knowledge on the (UK-relevant) carbon value, pure gasoline and crude oil costs, in addition to actual GDP, power value inflation and non-energy value inflation. The pattern interval is June 2008 to April 2024, chosen to exclude the EU ETS pilot part (2005–07), the place allowances had been freely allotted and non-transferable to future phases, ensuing within the carbon value dropping near zero.
The instrument
We lengthen the high-frequency recognized carbon coverage shock collection developed by Känzig (2025) from the EU to the UK carbon market, reflecting the truth that on 1 January 2021 the UK left the EU ETS and established its personal (DESNZ (2025)).
In sensible phrases, we accumulate a complete checklist of (UK-relevant) regulatory replace occasions concerning the provide of carbon allowances, overlaying the interval 2020–24. We then isolate the subset of these bulletins that aren’t ‘confounded’ by different information, and measure the change within the (UK-relevant) carbon futures value in a good (at some point) window across the occasion. The important thing thought is that exogenous shifts in provide drive these value fluctuations, which means that they can be utilized as an instrument to estimate the dynamic causal results of carbon value actions. This system has a long-standing utility within the financial coverage literature (eg, Kuttner (2001), Gertler and Karadi (2015), Nakamura and Steinsson (2018)), and has extra not too long ago been utilized to power markets (eg, Känzig (2021), Känzig (2025), Alessandri and Gazzani (2025)).
Chart 2 reveals the ensuing UK-relevant carbon coverage shock collection, aggregated to month-to-month frequency. To the very best of our data, that is the one instrument capable of examine the macroeconomic impacts of provide shocks within the UK carbon market. It’s subsequently additionally the one instrument applicable for estimating the influence of carbon pricing within the UK through the interval of most curiosity to financial coverage makers: the current power disaster and carbon value surge.
Chart 2: UK-relevant carbon coverage shock collection

Notes: The UK-relevant carbon coverage shock collection, constructed as the share change within the UK-relevant carbon futures value round regulatory coverage occasions regarding the provide of UK-relevant carbon emissions, aggregated to month-to-month frequency. ‘UK-relevant’ refers to EU ETS futures value and occasions till 30 April 2021 (finish of UK operators’ compliance with the EU ETS), and UK ETS futures costs and occasions after 19 Could 2021 (the primary UK ETS public sale and buying and selling day) (UK Authorities (2021), UK ETS Authority (2023)). The 2005–19 portion of the collection (aqua line) is Känzig’s EU ETS carbon coverage shock collection (2023 collection, variable: shock, pct). Observe that our outcomes maintain on the choice model of the instrument, too (constructed because the change within the carbon futures value relative to the wholesale electrical energy value).
Supply: Authors’ calculations.
The outcomes
We discover that contractions within the provide of carbon allowances that enhance the carbon value can have a big influence on the UK macroeconomy. They function very like different supply-side shocks: rising inflation, and reducing output, inside the three-year financial coverage horizon. Chart 3 reveals the impulse responses of UK macroeconomic variables to a restrictive carbon coverage shock, scaled to extend power value inflation by 1 share level (pp) at peak. To present a way of scale, it is a massive shock which will increase carbon costs by roughly 7% at peak. It results in a protracted enhance in power value inflation, which peaks after round one 12 months, adopted by a smaller however extra persistent rise in non-energy value inflation (0.12pp at peak, an extra 4 months later), and a lagged and short-term fall in GDP (-0.06% at peak, round two years after the preliminary shock).
Chart 3: Impulse response features of UK macroeconomic variables to a restrictive carbon coverage shock

Notes: Impulse responses to the recognized UK-relevant carbon coverage shock, normalised to extend power CPI inflation by 1pp at peak. Estimation pattern: June 2008 to April 2024. The stable line represents the median draw. The shaded areas are the 80% credible intervals.
Supply: Authors’ calculations.
The dynamics indicate a transparent transmission channel, with the power sector enjoying a key position: passing on rising shock-induced prices to power costs, thereby propagating cost-push pressures to energy-intensive sectors throughout the financial system. However what drives these rising prices within the power sector?
Importantly, we discover {that a} tightening within the carbon pricing regime causes not solely carbon costs to rise, however oil and gasoline costs, too. Chart 4 reveals the impulse responses of various energy-related commodity costs to the restrictive carbon coverage shock. We observe a robust, rapid enhance in carbon costs (7% on influence), adopted by a smaller and extra gradual, however non-trivial, rise in oil and gasoline costs (round 1.5% and 4% at peak, respectively). The rise within the crude oil value is equally discovered by different papers (Känzig (2025), Ortubai et al (2025)), and could be rationalised by the truth that European and UK oil producers and refineries are lined by ETSs. Particularly, actions related to exploration and drilling, manufacturing and processing, transportation, and refining of oil are inside scope. The response of the pure gasoline value displays fuel-switching as a result of modifications within the relative short-run marginal value of several types of electrical energy era, as substitution away from (extra carbon-intensive) coal into gas-fired era exerts upwards stress on gasoline costs (Ember (2023)).
Chart 4: Impulse response features of energy-related commodity costs to a restrictive carbon coverage shock

Notes: Impulse responses to the recognized UK-relevant carbon coverage shock, normalised to extend power CPI inflation by 1pp at peak. Estimation pattern: June 2008 to April 2024. The stable line represents the median draw. The shaded areas are the 80% credible intervals. The oil and gasoline costs are the Brent crude oil and UK Nationwide Balancing Level (NBP) pure gasoline entrance month futures costs.
Supply: Authors’ calculations.
In a mannequin extension, we evaluate the consequences carbon allowance, gasoline, and oil provide shocks on the respective commodity value. For a similar sized influence on power inflation, we discover differing results on headline inflation by sort of shock. Chart 5 compares the impulse responses of UK headline CPI inflation to a carbon allowance, gasoline, and oil provide shock. We see that the kind of shock issues: if a 1pp at peak power value soar originated as a provide shock within the carbon market, the headline inflation influence is roughly 25% greater relative to an equal shock arising within the gasoline market, and a number of other months extra persistent than if it originated within the oil market.
Chart 5: Impulse response features of UK headline inflation to shocks to carbon allowances, gasoline, and oil provide scaled to extend power inflation by 1pp at peak

Notes: Impulse responses to the recognized UK-relevant carbon coverage shock, and the pure gasoline and oil provide shocks recognized by Alessandri and Gazzani (2025), Känzig (2021). For comparability throughout shocks, responses are standardised to extend power value inflation by 1pp at peak. Estimation pattern: June 2008 to April 2024 for the carbon and oil shocks, and to December 2023 for gasoline shock (owing to the shock collection size). Observe, nevertheless, that our UK-specific reconstruction of Alessandri and Gazzani’s gasoline shocks (which takes the UK NBP pure gasoline value change round occasion days) allows estimation over the total pattern, and yields comparable outcomes. The stable line represents the median draw. The shaded areas are the 80% credible intervals.
Supply: Authors’ calculations.
Conclusion
On this publish, we’ve got estimated the causal results that modifications in carbon costs have on mixture UK costs within the brief run. Observe first that, in doing so, we’ve got solely actually thought of the price aspect of local weather coverage. It’s well-documented that local weather insurance policies can indicate short-term trade-offs for economies which usually tend to present within the financial coverage horizon we deal with. Our mannequin doesn’t think about the macroeconomic impacts of a profitable transition to net-zero (which is past the financial coverage horizon). These might lead to prevented financial losses and direct macroeconomic positive factors that far outweigh the adverse short-term macroeconomic impacts of local weather insurance policies.
Second, carbon costs are set to rise additional, and we count on carbon coverage to change into extra stringent and enhance in protection over time. Due to this fact, it’s value highlighting that the outcomes offered right here solely estimate common dynamics over the baseline pattern interval (June 2008 to April 2024). Given the substantial developments within the UK power sector already over the previous decade – together with, however not restricted to, the phase-out of UK coal-fired electrical energy era – these relationships might be time-varying: a dimension that we wish to discover additional.
In any case, our outcomes underscore the significance of not treating fluctuations in power costs as homogenous. Whereas they’re all ‘supply-like’, how central banks reply to power value inflation would possibly differ relying on the kind of shock, even when the height soar in power costs is similar. We discover that for an equal soar in power costs, essentially the most difficult implications for headline inflation (and thus financial coverage) come up if the supply was a provide shock within the carbon market. A shock of this nature transmits diffusely, rising not solely carbon but in addition oil and gasoline costs, in a means that compounds cost-push pressures arising from the power sector.
Hannah Copeland and Boromeus Wanengkirtyo work within the Financial institution’s Structural Economics Division, Lennart Brandt and Natalie Burr work within the Financial institution’s Exterior MPC Unit.
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