A study on the impact of GGDP on climate mitigation based on grey prediction

Authors

  • Honglin Liao
  • Yuxuan Shi
  • Zhuoyi Yu

DOI:

https://doi.org/10.54097/hset.v49i.8445

Keywords:

GGDP; CO2 emissions; Gray forecast model; Multiple regression.

Abstract

GGDP is a new measurement standard. It can deduct the cost of natural resource depletion and environmental degradation from GDP, and make us more aware of the resource depletion and environmental degradation caused by economic development. the modeling of GGDP value is in line with the development needs of the times and is important for coping with economic growth and sustainable development for the well-being and future of human beings. We deducted the cost of natural resource depletion and environmental degradation from GDP, developed a GGDP estimation model, and calculated GGDP for China in the last decade. global warming is an important factor contributing to climate deterioration, so we used CO2 emissions to measure global climate change. Three indicators affecting CO2 emissions were selected as independent variables, and GDP and GGDP were treated as independent mentionable. Two CO2 emission prediction models based on multiple regression equations were developed separately, and the expected global impact on climate mitigation when GGDP is used as the main measure of a country's economic health was estimated by comparing different CO2 emission calculations of the two models. To further analyze the impact of GGDP on climate change, we developed a dynamic climate projection model based on the quadratic regression equation of the EKC-like curve and verified the global applicability of the model. Our calculations show that GGDP can reduce more CO2 emissions, slow down climate warming, and slow down glacier melting.

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References

Wang F, Wang R, Wang J. Measurement of China’s green GDP and its dynamic variationbased on industrial perspective [J]. Environmental Science and Pollution Research, 2020, 27(35): 43813-43828.

Wang Yuchen,Xu Qianqian. Research on the development level of green GDP in Northeast China [J]. Heilongjiang Science, 2021, 12(24): 7-12.

Lin Bo-Qiang,Jiang Zhu-Jun. Environmental Kuznets curve prediction of carbon dioxide in China and analysis of influencing factors [J]. Management World, 2009(4): 27-36.

Zhang Qimin. Gray prediction model [J]. Journal of Ningxia University (Natural Science Edition), 2002, 23(2): 147-149.

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Published

21-05-2023

How to Cite

Liao, H., Shi, Y., & Yu, Z. (2023). A study on the impact of GGDP on climate mitigation based on grey prediction. Highlights in Science, Engineering and Technology, 49, 48-54. https://doi.org/10.54097/hset.v49i.8445