Adaptation and Feasibility Study of Green GDP Accounting System in China

Yanan Ge, Yaqi Ma, Zihao Wang
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Abstract

In recent years, with the increasing risk of global climate change, the worldwide discussion on green economy has been further intensified. In this paper, based on the central framework of SEEA, we analyze the impact of the environment on the economy from multiple perspectives and establish a green GDP accounting model. In addition, a new method combining random forest regression as well as CRITIC weighting method is used to select reasonable indicators. The accounting formula derived from this new method is used to calculate the green GDP in 2000, 2005, 2010, 2015, and 2020, and to compare the differential contribution of GGDP and GDP of the selected countries to measure the efforts made by each country for environmental protection, and the results show that it is worthwhile to adopt GGDP. This paper focuses on China as the main target for the case study and finds the strongest link between GGDP and clean energy among the indicators. The impact generated by GGDP is also discussed using the gray prediction method. Finally, a statistical approach is used to visualize the growth rate of the aging population, and it is found that the implementation of GGDP is beneficial to the environment, the economy, and the lives of citizens.
绿色GDP核算体系在中国的适应性与可行性研究
近年来,随着全球气候变化风险的增加,世界范围内对绿色经济的讨论进一步加剧。本文基于SEEA的中心框架,从多个角度分析了环境对经济的影响,建立了绿色GDP核算模型。此外,采用随机森林回归与CRITIC加权法相结合的新方法选择合理的指标。利用该新方法导出的核算公式计算了2000年、2005年、2010年、2015年和2020年的绿色GDP,并比较了所选国家的GGDP和GDP的差异贡献,以衡量各国在环境保护方面所做的努力,结果表明,采用GGDP是值得的。本文以中国为主要案例研究对象,发现gdp与清洁能源之间的联系最为紧密。运用灰色预测方法对GGDP产生的影响进行了讨论。最后,采用统计方法对老龄化人口增长率进行可视化分析,发现实施GGDP对环境、经济和公民生活都是有利的。
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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