Keser, Hilal YildirirTarkun, Savas2026-02-082026-02-0820250301-47971095-8630https://doi.org/10.1016/j.jenvman.2025.126923https://hdl.handle.net/20.500.12885/5725This study examines the directional and threshold-dependent connectedness between greenhouse gas emissions (CO2 and CH4) and key sources of policy uncertainty-namely climate (CPU), trade (TPU), and monetary policy (MPU)-using the Quantile-on-Quantile Connectedness (QQC) approach. Based on monthly data from January 1988 to December 2024, the results reveal asymmetric and time-varying information flows across different quantiles. CO2 emerges as a systemic transmitter under climate and monetary uncertainty, while CH4 exhibits selective and regime-dependent responses, particularly under trade policy shocks. The Total Connectedness Index (TCI) dynamics suggest significant structural breaks, with reversals in information directionality observed post-2006 and during the COVID-19 period. The findings highlight the importance of accounting for tail-risk sensitivity and nonlinear spillovers in environmental and economic policymaking, offering new insights into how uncertainty shapes emission behavior across time and regimes.eninfo:eu-repo/semantics/closedAccessGreenhouse gas emissionsPolicy uncertaintyQuantile connectednessCO2 and CH4Tail risk spilloversAsymmetric spillovers from climate, trade, and monetary policy uncertainty to greenhouse gases: A quantile-on-quantile connectedness approachArticle10.1016/j.jenvman.2025.126923393WOS:0015819390000012-s2.0-10501297413740812108Q1Q1