Pre-registration
Countries with aggressive green-transition regulatory stringency layered on top of gas-indexed wholesale electricity markets and premature phase-out of firm-dispatchable generation (Germany, UK, Belgium, Netherlands) have experienced materially higher industrial electricity prices 2015-2023 than comparable economies with more measured transition paths (France's nuclear retention, Nordic hydro, USA's shale-gas-backed grid). The price gap is measurably associated with manufacturing-sector output divergence, with energy-intensive sectors (chemicals, metals, cement) relocating or contracting in high-price destinations. This operationalises the user's "green policy degrowth numbers" framing at the sector level rather than as a political slogan.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
Not supported if (a) β_aggressive_green on log industrial electricity price is zero or negative at p<0.10 (should be positive: treatment raises prices), OR (b) the second-stage manufacturing VA effect is zero, OR (c) the pre-trend placebo detects spurious effects. Sensitivity drops 2020-2023 (war + COVID) — if the effect relies on those years, report honestly that the attribution is confounded by exogenous shocks rather than persistent policy-content effect.
formal test & threshold
test: aggressive_green_transition_price_and_output_transmission threshold: β_electricity_price > 0.10 log-points at p<0.10 AND β_manuf_va < -0.02 at p<0.10 via electricity price channel AND pre-trend placebo |t| < 1.65 AND sensitivity drop-2020-2023 does not flip signs
Method
- Template
panel_fe- Fixed effects
country, year- Clustering
country- Sample
- 12 countries · 2005 – 2023
- Evidence type
- causal
Staggered TWFE. β_aggressive_green identifies the average post-treatment divergence on industrial electricity prices. Second-stage regression of log manufacturing VA on log industrial electricity price (instrumented by the aggressive_green dummy) tests whether the price channel transmits to output. Known limitations: (1) Two-way FE with staggered treatment has Goodman-Bacon bias risks; Callaway-Sant'Anna robustness spec in v1.1. (2) Treatment-date coding is subjective (when did DEU's Energiewende "take effect" — 2011 formal decision, 2014 nuclear phase-out milestone, 2022 gas crisis?). The hypothesis uses 2011 as primary DEU treatment date, flags sensitivity. (3) COVID + Russia-Ukraine war are confounds 2020-2023; drop those years as sensitivity. Identification is clean only to the extent that the aggressive- treatment countries and the non-treated comparators share enough pre-treatment trend similarity. Pre-trend placebo is required.
Data
| Variable | Source | Transform |
|---|---|---|
log_industrial_electricity_price outcome | constructed:IEA industrial electricity price series + Eurostat NRG_PC_205 (industrial electricity prices), USD/MWh constant 2020. Fetier 5 | log |
log_manufacturing_value_added outcome | world_bank_wdi:NV.IND.MANF.CDtier 2 | log_real |
energy_intensive_sector_output_share outcome | constructed:share of manufacturing value added from chemicals + metals + cement + paper (OECD STAN)tier 5 | level |
aggressive_green_transition_dummy treatment | constructed:indicator = 1 for country-years with (a) legislated nuclear/coal phase-out AND (b) gas-indexed wholesale market AND (c) tier 5 | indicator |
log_population control | world_bank_wdi:SP.POP.TOTLtier 2 | log |
trade_openness control | world_bank_wdi:NE.TRD.GNFS.ZStier 2 | level |
urbanisation control | world_bank_wdi:SP.URB.TOTL.IN.ZStier 2 | level |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — green_transition_cost_trajectory_electricity_prices
Verdict: INCONCLUSIVE_DATA_PENDING — treatment 'aggressive_green_transition_dummy' has no within-country variation under country fixed effects
Pre-registration
- Claim: Countries with aggressive green-transition regulatory stringency layered on top of gas-indexed wholesale electricity markets and premature phase-out of firm-dispatchable generation (Germany, UK, Belgium, Netherlands) have experienced materially higher industrial electricity prices 2015-2023 than comparable economies with more measured transition paths (France's nuclear retention, Nordic hydro, USA's shale-gas-backed grid). The price gap is measurably associated with manufacturing-sector output divergence, with energy-intensive sectors (chemicals, metals, cement) relocating or contracting in high-price destinations. This operationalises the user's "green policy degrowth numbers" framing at the sector level rather than as a political slogan.
- Falsification rule: Not supported if (a) β_aggressive_green on log industrial electricity price is zero or negative at p<0.10 (should be positive: treatment raises prices), OR (b) the second-stage manufacturing VA effect is zero, OR (c) the pre-trend placebo detects spurious effects. Sensitivity drops 2020-2023 (war + COVID) — if the effect relies on those years, report honestly that the attribution is confounded by exogenous shocks rather than persistent policy-content effect.
- Falsification test: aggressive_green_transition_price_and_output_transmission
Estimate
- Error: treatment 'aggressive_green_transition_dummy' has no within-country variation under country fixed effects
Variables resolved
world_bank_wdi:NV.IND.MANF.CD→ log_manufacturing_value_added (outcome, publisher=world_bank_wdi, n=9722)constructed: indicator = 1 for country-years with (a) legislated nuclear/coal phase-out AND (b) gas-indexed wholesale market AND (c) renewable-share target >30% by 2030. DEU (from 2011), GBR (from 2008 Climate Change Act binding), BEL, NLD qualify; FRA does not (retained nuclear); USA does not (grid more gas/renewables mix no firm phase-out); SWE/NOR do not (hydro baseload). Treatment date per country.→ aggressive_green_transition_dummy (treatment, publisher=constructed, n=228)world_bank_wdi:SP.POP.TOTL→ log_population (controls, publisher=world_bank_wdi, n=14447)world_bank_wdi:NE.TRD.GNFS.ZS→ trade_openness (controls, publisher=world_bank_wdi, n=10714)world_bank_wdi:SP.URB.TOTL.IN.ZS→ urbanisation (controls, publisher=world_bank_wdi, n=16965)
Variables missing data
constructed: IEA industrial electricity price series + Eurostat NRG_PC_205 (industrial electricity prices), USD/MWh constant 2020. Fetcher pending for IEA.(outcome, name=log_industrial_electricity_price) — vintage not on diskconstructed: share of manufacturing value added from chemicals + metals + cement + paper (OECD STAN)(outcome, name=energy_intensive_sector_output_share) — vintage not on disk
Generated by scripts/run_panel_fe.py at 2026-06-29T17:52:08+00:00
Strongest opposing argument
Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.
Notes
Data readiness: - IEA industrial electricity price series — specialist fetcher needed - Eurostat NRG_PC_205 — Eurostat fetcher already shipped ✓ but specific series needs fetch - WDI manufacturing VA — ready ✓ - OECD STAN — not yet fetcher-ready v1 pre-registers; v1.1 runs when IEA + Eurostat energy-price series are added to baseline_pull.yaml and bootstrap.