Prediction of Carbon Emissions in China’s Power Industry Based on the Mixed-Data Sampling (MIDAS) Regression Model

China is currently the country with largest carbon emissions in world, to which, power industry contributes greatest share. To reduce emissions, reliable and timely forecasting measures are important necessary. By using different frequency variables, this study, we used mixed-data sampling (MIDAS) regression model forecast annual of China’s compared a benchmark model. It was found that MIDAS had higher prediction accuracy than models such as autoregressive distributed lag (ARDL) Moreover, our results showed could conduct nowcasting, which useful when data have some releasing lag. Through method, also demonstrated significant relationship GDP thermal generation, value would keep increasing years 2021 2022.