Synergy of digital economy and green economy in sustainable development policy

Qiqi Lin, Ping Zhou
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Abstract

Sustainability challenges and ICT perspectives are at the heart of current thinking on global economic and social development. The current development and growth process is based on unsustainable foundations due to irresponsible resource consumption and negative environmental impacts as well as greenhouse gas emissions. People need to find ways to integrate the digital economy and the sustainability of the green economy. Therefore, this paper firstly describes the intersection of digital economy and green economy, secondly introduces the security system of digital economy and green economy, then based on this, the SURF (Speeded-up robust features) algorithm is used to locate and improve the data aggregation system of digital economy and green economy, and finally, the algorithm simulation experiment is conducted. The experimental results found that the aggregation algorithm based on digital economy and green economy has 19% higher accuracy than the traditional algorithm. At the same time, the calculation speed is increased by three to five times. The above results show that the SURF algorithm is applied to the sustainable development research of digital economy and green economy with significant effect.
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数字经济和绿色经济在可持续发展政策中的协同作用
可持续性挑战和信息与传播技术视角是当前全球经济和社会发展思考的核心。由于不负责任的资源消耗和对环境的负面影响以及温室气体排放,当前的发展和增长进程建立在不可持续的基础之上。人们需要找到将数字经济与绿色经济的可持续性相结合的方法。因此,本文首先阐述了数字经济与绿色经济的交集,其次介绍了数字经济与绿色经济的安全体系,然后在此基础上,利用SURF(加速鲁棒特征)算法对数字经济与绿色经济的数据聚合体系进行定位和改进,最后进行了算法仿真实验。实验结果发现,基于数字经济和绿色经济的聚合算法比传统算法的准确率高 19%。同时,计算速度提高了 3 至 5 倍。以上结果表明,SURF 算法应用于数字经济和绿色经济的可持续发展研究效果显著。
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