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Data · dataset · 2026

Hydropower Droughts Reveal Hidden Adjustment Risks in Global Electricity Transitions

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Clean-generation shares describe composition but not how a power system absorbs a hydroclimatic shock.

Description

We combine a 2005–2023 global country-year panel with capacity-weighted exposure from 7,156 hydroelectric plants and an independent crosswalk linking 3,516 plants to ReGeom/GRanD reservoirs within 25 km. Country and year fixed-effects models estimate conditional associations between reservoir-location scPDSI stress, predetermined hydropower dependence and electricity-system adjustment, with two-way clustered uncertainty, pre-specified Holm/BH-FDR correction, 999-country bootstrap refits, leave-one-out tests, spatial holdouts and a frozen failure backtest.

In 1,937 country-years across 102 countries, the stress–dependence interaction is positive for adjustment burden (0.00949; nominal p = 0.021; BH-FDR q = 0.0315; Holm p = 0.107; 95% CI, 0.00146–0.01751), negative for the hydropower margin (−0.00180; nominal p = 0.019), positive for net imports (0.00244; nominal p = 0.020) and positive for electricity carbon-intensity growth (0.00229; nominal p = 0.018).

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The adjustment chain is directionally concordant across five spatial/asset specifications, and the composite bootstrap interval is 0.00247–0.01533. Fossil and demand margins are not confirmation outcomes, and the frozen prediction improvement is not bootstrap-stable. Clean-share averages can therefore conceal stress-contingent adjustment risk.

The evidence supports a conditional-association framework for transition monitoring, not a causal effect or a complete resilience index.

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Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.011rc11 d agoJSON v1
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