Research on the Influence Mechanism of Green GDP, Green Network Security, and Digital Economy Based on Gray Correlation Model
DOI:
https://doi.org/10.54097/bjj5yk72Keywords:
Economic Health, Green Network Security, Digital Economy, Gray Correlation, Ridge Regression.Abstract
This paper explores the impact that using GGDP (Green GDP) as an important indicator of a country's economic health will have on global climate mitigation. The GGDP values of 24 EU countries are calculated based on Eurostat data, and greenhouse gas emissions, precipitation, etc. are selected as variables, global data are collected for five years from 2015 to 2019, and the expected impact is estimated using gray correlation model and ridge regression model, which concludes that GGDP is negatively correlated with the climate indicators, and has a significant impact on climate mitigation. The resultant research is applied to the impact of green network security on network ecology and digital economy, selecting network ecological cleanliness, network energy utilization efficiency, and network security inputs as variables to be applied to the model, and the study concludes that green network security has a positive positive impact on the digital economy, and can promote the sustainable development of the digital economy.
Downloads
References
Liu Qihang, Ouyang Kang. Rethinking Green GDP Performance Assessment under the Vision of "Dual Carbon"[J]. Theory Monthly, 2023(10):91-97.
Gao Xirong, Zhao Xinyue, Chai Chengxin. Green GDP Accounting Based on Resource and Environmental Value Compensation--Taking Chongqing Municipality as an Example[J]. Ecological Economy,2023,39(05):148-153.
WEI Baojing, HU Xijun, ZHU Manle et al. Research hotspots and trends of green ecological networks in China based on CiteSpace[J]. Economic Geography,2021,41(09):174-183.
WANG Lei, WANG Junyao. Research on the impact of the digital economy on urban green total factor productivity under the perspective of green technology innovation[J/OL]. Xinjiang Agricultural Reclamation Economy:1-15[2023-11-24].
Mungcharoen P V V K K .Thailand Green GDP assessment based on environmentally extended input-output model[J]. Journal of Cleaner Production,2017,167970-977.
Dang Yaoguo, Wang Yibo, Wang Junjie et al. Gray vector mode correlation model based on panel data and its application[J/OL]. Control and Decision Making:1-9[2023-11-28].
Chen Zhenwen, Chang Jun. Application of integrated ridge regression and SARIMA methods in the analysis of bridge health monitoring data[J]. Science, Technology and Engineering, 2023,23(20):8846-8853.
LU Chang, WANG Zhiyu. Carbon metabolism analysis of the Yellow River Delta based on ecological network analysis[J]. China Environmental Science,2023,43(11):6090-6101.
WU Le, CHEN Gang. Shanghai logistics demand forecasting model based on ridge regression and GM(1,1) combination[J]. Logistics Science and Technology,2023,46(15):6-9.
LU Jiaqi, WANG Lingyun, ZHOU Chaomin, et al. A prediction model of Yuyao shoreline of Qiantang River based on SS-ANOVA model[J]. Henan Water Resources and South-North Water Diversion,2023,52(05):110-111+114.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






