Study on the Impact of GGDP Method Based on SEEA Accounting System on Climate Mitigation

Authors

  • Xianfei Cai
  • Xinyao Guo
  • Tianxiang Zhan
  • Lingli Sun

DOI:

https://doi.org/10.54097/hbem.v20i.14749

Keywords:

GGDP, country’s economic health, Climate mitigation, Pearson Relation Coefficient, BP neural network.

Abstract

GDP is one of the best-known measures of socioeconomic well-being, but because it does not consider natural resources, it may not be a good measure of a country’s economic health. Therefore, considering that the world recognizes GGDP as the primary criterion for measuring a country’s financial health, this paper studies the changes and the impact of these changes on the environment. A technique under the SEEA accounting system was choosed to account for GGDP and, based on this, to explore the impact of GGDP on climate mitigation. Then, Pearson Relation Coefficient is used to evaluate the expected global impact of GGDP on climate mitigation. According to the Grey Relation Model, the correlation between GGDP and climate mitigation is more significant than GDP. It suggests that this shift is worthwhile globally while comparing the potential advantages of climate mitigation impacts with the possible disadvantages of efforts needed to replace the status quo. Taking China as the research object and make a more in-depth analysis of the impact of the transformation of measurement indicators. Recommended measures in the use of natural resources and analyzed the effects of actions on the economy and the ability to support future generations using the BP neural network, which concludes that the changes resulting from the measures will benefit China to some extent.

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Published

30-11-2023

How to Cite

Cai, X., Guo, X., Zhan, T., & Sun, L. (2023). Study on the Impact of GGDP Method Based on SEEA Accounting System on Climate Mitigation. Highlights in Business, Economics and Management, 20, 833-840. https://doi.org/10.54097/hbem.v20i.14749