Energy resilience in the Arctic states: An integrated assessment and policy implications for sustainable transitions

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a novel composite indicator and driver analysis method applicable to other regions.

🏢実務担当者:Highlights key factors (import dependence, green policy intensity) for corporates managing energy supply chain risks.

🏛政策担当者:Offers policy priorities (reducing import exposure, diversifying renewables) for national energy resilience.

• Steady rise in Arctic energy resilience, with persistent stratification • The US and Russia have highest resilience; Canada and Denmark are mid-high. • Import dependence is the top driver; random forest explains 88% of the variation. • Policies should reduce energy imports, and increase and diversify renewables. Energy resilience has become a central requirement for sustainable energy transitions at high latitudes, where climate hazards and geopolitical shocks intersect. This study develops an integrated measurement–evolution–mechanism framework to assess energy resilience in the eight Arctic states from 2014 to 2023, combining a three-dimension indicator system (resistance, adaptability, recovery), projection-pursuit–based composite scoring, distributional dynamics, and data-driven driver identification. Using official statistics, we estimate annual national resilience scores, track spatiotemporal patterns, and quantify the relative importance of structural, economic, and governance factors. Three main results emerge. First, the region exhibits a steady rise in resilience, but persistent stratification: the United States and Russia remain consistently highest; Canada and Denmark are stable at mid-high levels; Finland trends downward; Sweden, Iceland, and Norway remain lower, with renewed divergence after 2021. Second, three archetypes are identified: a recovery–resistance–dominated group with weak adaptability (Iceland, Sweden, Finland); an adaptability-advantaged group (Canada, United States, Denmark, Russia); and a low comprehensive-resilience case (Norway). Third, energy import dependence is the dominant determinant, followed by green policy intensity, government effectiveness, and human capital investment; the random forest model explains approximately 88% of cross-country variation, underscoring robust, nonlinear driver effects. Policy priorities include reducing import exposure and single-fuel risks, accelerating renewable and flexibility investments, diversifying industrial structures, and strengthening fiscal–institutional capacity and education to support adaptive and rapid recovery. The framework is transferable beyond the Arctic, linking quantitative diagnostics to actionable pathways for renewable-led, climate-robust energy systems.

• openalex https://doi.org/10.1016/j.gsf.2026.102335first seen 2026-05-15 16:57:29