Research on the correlation between digital economy and carbon emission based on PSO-Kmeans algorithm
DOI:
https://doi.org/10.54097/1jqbw820Keywords:
Random forest algorithm, PSO-Kmeans algorithm, PCA.Abstract
Based on the PSO-Kmeans algorithm, this paper deeply explores the correlation between digital economy and carbon emissions in China's prefecture-level cities. Firstly, random forest algorithm is used to deal with missing values, logarithmic transformation is used to improve data skew distribution, and principal component analysis is used to reduce data dimension, which improves the quality of data analysis. Furthermore, K-means clustering algorithm combined with Hopkins statistics was used to verify the feasibility of clustering. Monte Carlo simulation and PSO-Kmeans algorithm were used to optimize the clustering results, and the type characteristics of carbon emission trends in each city were obtained.
Downloads
References
Cui Rong, Zhai Lingyu, Sun Yanan. Network structure and influencing factors of China digital economy spatial correlation [J]. Journal of economics and management review, 2023, 33 (6) 6: 95 - 108.
According to the China Digital Economy Development Research Report (2023).
Zhu Guanghan. (2024). The scale of national digital economy is expected to exceed 55 trillion yuan in 2023. Daily Business Newspaper. (2024 - 01 - 03).
Liu Chuanming, Yin Xiu, Wang Linshan. Regional differences and distribution of the economic development of China's digital dynamic evolution [J]. Science and technology of China BBS, 2020 (03): 97 - 109.
Liu Jun, Yang Yuanjun, Zhang Sanfeng. The digital economy measure of China and the driving factors [J]. Journal of Shanghai economic research, 2020 (6): 81 - 96.
Jin Dianchen, Chen Xin, Liu Shuai. How the digital economy contributes to the "dual carbon" goal: An empirical test based on 275 prefecture-level cities [J]. Guizhou social science, 2023 (9): 134 - 143.
Wang Ziyao. Study on the impact and mechanism of digital economy development on carbon emission reduction [J]. China Price, 2024 (04): 114 - 118. (in Chinese).
Xu Weicong. Mechanism, challenge and path of digitalization enabling high-quality development of agricultural trade between China and countries along the Belt and Road [J/OL]. Contemporary economic management: 1-17 [2024 - 05 - 11].
Wei Tao, Cao Xiaocan. Effects of digital economy development on agricultural carbon emissions in China [J]. Journal of Lanzhou Institute of Technology, 2019, 31 (02): 105 - 110. (in Chinese).
Deng Rongrong, Zhang Aoxiang. China city digital research on mechanism of the effect of environmental pollution and economic development [J]. Journal of southern economy, 2022 (02): 18 to 37.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
