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Specifically, we identified critical thresholds where UI shifts from background noise (uninformative) to a decisive factor (informative) in renewable energy (RE) adoption decisions. We find that the negative relationship between the UIs and energy transition is only significant and identified in the regime where uncertainty is relatively low, whereas the prediction power fails (becomes insignificant) in the high\u2010uncertainty regimes. This suggests that the informational utility of UIs in driving (or forecasting) RE adoption operates conditionally upon moderate uncertainty levels. To explain the heterogeneous informativeness of UIs and validate the variations in our identified thresholds, we further conduct channel analyses. Relying on theoretical frameworks from risk literature, we show that risk preference, information overload, and priority concern theories can explain the level of threshold effects (informativeness) of UIs on economic outcomes. These findings provide an actionable insight for policymakers towards designing preemptive risk triggers when uncertainty crosses a critical threshold by frontloading investment activities in clean energy technologies to safeguard green energy transition pathways from headwinds of uncertainties.<\/jats:p>","DOI":"10.1111\/risa.70335","type":"journal-article","created":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T03:46:28Z","timestamp":1787111188000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Not All Tides Lift the Boat: Boundary of Informativeness of Uncertainty Indices"],"prefix":"10.1111","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5204-1176","authenticated-orcid":false,"given":"Kingsley E.","family":"Dogah","sequence":"first","affiliation":[{"name":"Nottingham University Business School China University of Nottingham Ningbo China  Ningbo 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