Akademik Məlumat İdarəetmə Sistemi
Applied Economics, 2025 (SSCI, Scopus)
As the global push for clean energy accelerates, the shadow of policy ambiguity continues to cloud the path towards widespread renewable energy adoption–especially in the residential and commercial sectors where investment decisions are highly sensitive to regulatory signals. Therefore, this study addresses a gap in the literature by introducing a novel Multivariate Wavelet Quantile Regression approach to analyse the impact of policy ambiguities on residential and commercial renewable energy adoption in the United States. This technique quantifies the effect of each independent variable on the dependent variable across short-, medium-, and long-run frequency bands while controlling for other covariates. The study used data from 1 January 1993 to 1 January 2025 to examine this association. (a) Climate‐policy uncertainty initially boosts adoption among lower‐ and mid‐tier consumers but ultimately suppresses consumption across all tiers in the long run; (b) monetary‐policy uncertainty momentarily stalls moderate adopters’ renewable purchases before broadly accelerating small‐scale deployment; (c) economic‐policy uncertainty triggers a precautionary surge in consumption in the short run but leads to medium‐ and long‐run declines; (d) trade‐policy uncertainty drives hedging behaviour in mid‐ and upper‐tier consumers, yielding durable gains in renewable‐energy use across all tiers. The study proposes policies based on these findings.