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Green Finance and Data Quality And Bias among Regulated Utilities — A event study methodology

• AR/VR
• Risk
• IoT

Abstract

This essay investigates “Green Finance and Data Quality And Bias among Regulated Utilities — A event study methodology” using a time-series forecasting. Through a human-centered lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.