Academic Journal of Computing & Information Science, 2023, 6(10); doi: 10.25236/AJCIS.2023.061011.
Yueyao Li1, Ziyu Liu2, Ziyao Zhu1, Zixuan Zhou3, Yan Guo4
1School of Insurance and Economics, University of International Business and Economics, Beijing, 100029, China
2Business School, University of International Business and Economics, Beijing, 100029, China
3School of Cultural Industries Management, Communication University of China, Beijing, 100024, China
4School of Banking and Finance, University of International Business and Economics, Beijing, 100029, China
This paper focuses on demonstrating that GGDP is a better indicator of a country's economic health than GDP. In this study, seven variables were selected as secondary indicators, and then CO2 emissions were used as dependent variables, and the identified seven variables were used as independent variables for multiple regression. In this regression, significant and robust results are obtained, which can prove that using GGDP as a macroeconomic variable is more environmentally friendly. This paper also uses the cross validation method to train the Gaussian process regression model, and obtains better regression results (R2= 99.9 %, RMSE = 1.364e + 5).
Green GDP, CO2, MRA-GPR
Yueyao Li, Ziyu Liu, Ziyao Zhu, Zixuan Zhou, Yan Guo. Research on GGDP Evaluation System Based MRA-GPR Analysis. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 10: 73-78. https://doi.org/10.25236/AJCIS.2023.061011.
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