Education, Science, Technology, Innovation and Life
Open Access
Sign In

Study on the statistical measure of green development in China based on entropy weight method and TOPSIS method

Download as PDF

DOI: 10.23977/erej.2023.070501 | Downloads: 20 | Views: 656

Author(s)

Chen Wang 1

Affiliation(s)

1 Nanjing University of Aeronautics and Astronautics, Nanjing, China

Corresponding Author

Chen Wang

ABSTRACT

The party's 20th Congress pointed out that we should promote the building of a beautiful China, adhere to the integrated protection and systematic management of mountains, rivers, forests, farmland, lakes, grass, and sand, coordinate industrial restructuring, pollution control, ecological protection, climate change, promote carbon reduction, pollution reduction, green expansion and growth, and promote ecological priority, economical, intensive, green and low-carbon development. Modern China has made remarkable achievements in green development. By applying entropy weight method and TOPSIS method, we select the appropriate evaluation index to evaluate the influence of ecological environment construction on ecological environment. First, appropriate indicators were selected and relevant data were collected to establish an evaluation model for the impact of ecological environment construction on ecological environment in Hebei Province. Then, appropriate indicators were selected, pertinent data were collected, and a statistical model was established to evaluate the impact of Saihan Dam on sandstorm resistance in North China, and the role of Saihan Dam in sandstorm resistance in North China was quantitatively evaluated. Finally, through the analysis of the carbon emission and carbon absorption rate of each province, calculate the carbon absorption rate of each province, predict the change trend of the carbon emission, carbon absorption rate and carbon absorption rate of each province in the coming years, and evaluate the progress made in carbon neutrality.

KEYWORDS

Entropy weight method, TOPSIS method, Pearson correlation, Hierarchical clustering analysis, Unary linear regression model

CITE THIS PAPER

Chen Wang, Study on the statistical measure of green development in China based on entropy weight method and TOPSIS method. Environment, Resource and Ecology Journal (2023) Vol. 7: 1-8. DOI: http://dx.doi.org/10.23977/erej.2023.070501.

REFERENCES

[1] Yi Zechuan, Tan Xijun, He Runhui. Ecological and environmental impact assessment of Saihan Dam ecological model based on TOPSIS [J]. Energy and Energy Conservation, 2022.
[2] GB / T 2589-2020, the general rules of comprehensive energy consumption calculation [S].
[3] Zheng S , Zhang C , Zhou Y . Study on the evaluation system of green development in Tuojiang River Basin based on entropy weight method and grey relation analysis[J].IOP Conference Series: Earth and Environmental Science, 2020, 512(1):012046 (6pp).DOI:10.1088/1755-1315/512/1/012046.
[4] Li Hang. Machine learning methods [M]. Beijing: Tsinghua University Press, 2022.
[5] Zhou Zhihua. Machine learning [M]. Beijing: Tsinghua University Press, 2016.
[6] Jun-Min Z, Bo P. Study on Comprehensive Development of Zhoushan Port in Ningbo based on Entropy Weight Method and TOPSIS Method[J]. Special Zone Economy, 2018.
[7] Xue Wei. Statistical Analysis and Application of SPSS [M], Beijing: China Renmin University Press, 2021.

Downloads: 4574
Visits: 237740

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.