Temporal Convolutional Network for Carbon Tax Projection: A Data-Driven Approach

• Published in: Applied sciences Vol. 14; no. 20; p. 9213
• Main Authors: Chen, Jiaying, Cui, Yiwen, Zhang, Xinguang, Yang, Jingyun, Zhou, Mengjie
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2024
• Subjects: carbon pricing; Carbon taxes; Climate policy; Climatic changes; Comparative analysis; data analytics; Environmental economics; Environmental tax; Forecasts and trends; Neural networks; Tax rates; temporal convolutional network; time series forecasting; Canada; Trinidad and Tobago; Sweden

This study introduces a novel application of a temporal convolutional network (TCN) for projecting carbon tax prices, addressing the critical need for accurate forecasting in climate policy. Utilizing data from the World Carbon Pricing Database, we demonstrate that the TCN significantly outperformed...