Research Article
Research on the Climate Impact of Adopting GGDP Based on K-means Clustering and Linear Fitting Model
@INPROCEEDINGS{10.4108/eai.26-5-2023.2334462, author={Pengyu He and Qingyu Zhou and Xuan Fang and Tao Liu}, title={Research on the Climate Impact of Adopting GGDP Based on K-means Clustering and Linear Fitting Model}, proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={MSEA}, year={2023}, month={7}, keywords={gdp; ggdp; k-means clustering; environment protection; economy}, doi={10.4108/eai.26-5-2023.2334462} }- Pengyu He
Qingyu Zhou
Xuan Fang
Tao Liu
Year: 2023
Research on the Climate Impact of Adopting GGDP Based on K-means Clustering and Linear Fitting Model
MSEA
EAI
DOI: 10.4108/eai.26-5-2023.2334462
Abstract
When GDP is used to measure the development prospect of a country, a country may choose production modes that consume resources or pollute the environment to improve GDP, which can be replaced by the calculation of Green GDP. A model is established based on the mitigation of global climate pollution by Green GDP. GGDP per capita of ten countries will be calculated according to the formula, and the GGDP per capita will be analyzed by K-means clustering. In addition, the Silhouette coefficient score will be used as the evaluation standard of clustering effect to obtain two different development stages of countries divided by GGDP. Then GGDP of the United States and China are predicted.
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