Research on GGDP Evaluation System Based MRA-GPR Analysis

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Abstract

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).
基于MRA-GPR分析的GGDP评价体系研究
本文的重点是证明国内生产总值比国内生产总值更能反映一个国家的经济健康状况。在本研究中,选取7个变量作为二级指标,然后将CO2排放量作为因变量,将识别出的7个变量作为自变量进行多元回归。在此回归中,获得了显著且稳健的结果,这可以证明使用GGDP作为宏观经济变量更加环保。本文还采用交叉验证方法对高斯过程回归模型进行训练,得到了较好的回归结果(R2= 99.9%, RMSE = 1.364e + 5)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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