Evaluation and Forecasting Models for GGDP

Abstract

The evaluation and prediction of GGDP has important implications for global development. We derived positive and negative factors affecting climate change through indicator analysis. We then also developed a grey prediction model and a regression analysis model to predict global climate change. The analysis of the results shows that GGDP benefits from a reduction in carbon emissions of 1791.67665767 Mt C02/year. In addition, we used a quadratic non-linear regression model to analyze the environmental impact of the specific use of GGDP. The model proposed in this paper facilitates the evaluation and prediction of GGDP.