The Application of Green GDP and Its Impact on Global Economy and Environment: Analysis of GGDP based on SEEA model

Mingpu Ma
{"title":"The Application of Green GDP and Its Impact on Global Economy and Environment: Analysis of GGDP based on SEEA model","authors":"Mingpu Ma","doi":"arxiv-2409.02642","DOIUrl":null,"url":null,"abstract":"This paper presents an analysis of Green Gross Domestic Product (GGDP) using\nthe System of Environmental-Economic Accounting (SEEA) model to evaluate its\nimpact on global climate mitigation and economic health. GGDP is proposed as a\nsuperior measure to tradi-tional GDP by incorporating natural resource\nconsumption, environmental pollution control, and degradation factors. The\nstudy develops a GGDP model and employs grey correlation analysis and grey\nprediction models to assess its relationship with these factors. Key findings\ndemonstrate that replacing GDP with GGDP can positively influence climate\nchange, partic-ularly in reducing CO2 emissions and stabilizing global\ntemperatures. The analysis further explores the implications of GGDP adoption\nacross developed and developing countries, with specific predictions for China\nand the United States. The results indicate a potential increase in economic\nlevels for developing countries, while developed nations may experi-ence a\ndecrease. Additionally, the shift to GGDP is shown to significantly reduce\nnatural re-source depletion and population growth rates in the United States,\nsuggesting broader envi-ronmental and economic benefits. This paper highlights\nthe universal applicability of the GGDP model and its potential to enhance\nenvironmental and economic policies globally.","PeriodicalId":501293,"journal":{"name":"arXiv - ECON - Econometrics","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - ECON - Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.02642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents an analysis of Green Gross Domestic Product (GGDP) using the System of Environmental-Economic Accounting (SEEA) model to evaluate its impact on global climate mitigation and economic health. GGDP is proposed as a superior measure to tradi-tional GDP by incorporating natural resource consumption, environmental pollution control, and degradation factors. The study develops a GGDP model and employs grey correlation analysis and grey prediction models to assess its relationship with these factors. Key findings demonstrate that replacing GDP with GGDP can positively influence climate change, partic-ularly in reducing CO2 emissions and stabilizing global temperatures. The analysis further explores the implications of GGDP adoption across developed and developing countries, with specific predictions for China and the United States. The results indicate a potential increase in economic levels for developing countries, while developed nations may experi-ence a decrease. Additionally, the shift to GGDP is shown to significantly reduce natural re-source depletion and population growth rates in the United States, suggesting broader envi-ronmental and economic benefits. This paper highlights the universal applicability of the GGDP model and its potential to enhance environmental and economic policies globally.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
绿色 GDP 的应用及其对全球经济和环境的影响:基于 SEEA 模型的 GGDP 分析
本文利用环境经济核算体系(SEEA)模型对绿色国内生产总值(GGDP)进行了分析,以评估其对全球气候减缓和经济健康的影响。通过纳入自然资源消耗、环境污染控制和退化因素,GGDP 被提出作为传统 GDP 的更优衡量标准。研究建立了 GGDP 模型,并采用灰色关联分析和灰色预测模型来评估其与这些因素的关系。主要研究结果表明,用 GGDP 取代 GDP 可以对气候变化产生积极影响,特别是在减少二氧化碳排放和稳定全球温度方面。分析进一步探讨了发达国家和发展中国家采用 GGDP 的影响,并对中国和美国进行了具体预测。结果表明,发展中国家的经济水平可能会提高,而发达国家的经济水平可能会降低。此外,在美国,向 GGDP 的转变可显著减少自然资源损耗和人口增长率,从而带来更广泛的环境和经济效益。本文强调了 GGDP 模型的普遍适用性及其在加强全球环境和经济政策方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Simple robust two-stage estimation and inference for generalized impulse responses and multi-horizon causality GPT takes the SAT: Tracing changes in Test Difficulty and Math Performance of Students A Simple and Adaptive Confidence Interval when Nuisance Parameters Satisfy an Inequality Why you should also use OLS estimation of tail exponents On LASSO Inference for High Dimensional Predictive Regression
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1