数字经济的发展与未来

Digital Economy: Development and Future
作者
        石勇(中国科学院大学 经济与管理学院 北京 100190;中国科学院虚拟经济与数据科学研究中心 北京 100190;中国科学院大数据挖掘与知识管理重点实验室 北京 100190)
中文关键词
         数字经济;大数据;智能算法;算力平台
英文关键词
        digital economy;big data;intelligent algorithms;computing platforms
中文摘要
        数字经济已经成为重组全球要素资源、重塑全球经济结构、改变全球竞争格局的关键力量。文章首先从数字经济基本问题出发,描绘了大数据、智能算法、算力平台3个基本要素;进而,回顾了国际数字经济的发展历程与我国数字经济的发展现状,总结了我国发展数字经济的优势和挑战;最后,立足于《中华人民共和国国民经济和社会发展第十四个五年规划和2035年远景目标纲要》,结合我国数字经济发展过程中的挑战与短板,从数据开放保护、关键技术工程、大数据人才培养、民生服务、社会征信体系和国际合作6个方面提出了做大、做优、做强我国数字经济的建议。
英文摘要
        The digital economy has become a significant force in reorganizing global factor resources, reshaping global economic structure and global competitive landscape. This article first starts with the basic issues of digital economy, outlines three key components of digital economy, which are big data, intelligent algorithms and computing platforms. Then it reviews the development of international digital economies and the current status of China's digital economy, and summarizes the advantages and challenges of developing a digital economy in China. Finally, based on the "14th Five-Year Plan for National Economic and Social Development and the Long-Range Objectives Through the Year 2035", according to challenges and shortcomings of China's development of digital economy, six suggestions of policies to promote, optimize and strengthen China's digital economy have been proposed, including data openness and protection, issues of key technologies, training programs for big data talents, livelihood services for citizens, social credit system and international collaborations.
DOI10.16418/j.issn.1000-3045.20211217002
作者简介
石勇 中国科学院大学经济与管理学院教授,中国科学院虚拟经济与数据科学研究中心主任,中国科学院大数据挖掘与知识管理重点实验室主任。发展中国家科学院院士,国际欧亚科学院院士,国务院参事。主要研究领域:大数据挖掘与知识管理、数据驱动的管理决策、机器学习、大数据与数字经济等。
E-mail:yshi@ucas.ac.cn
SHI Yong Professor at School of Economics and Management, University of Chinese Academy of Sciences (UCAS). He's the Director of the Research Center on Fictitious Economy & Data Science, the Director of Key Laboratory on Big Data Mining and Knowledge Management, both at Chinese Academy of Sciences (CAS); also a Fellow of the World Academy of Sciences for the advancement of science in developing countries (TWAS), a member of International Eurasian Academy of Sciences (IEAS), and the Counselor of the State Council of the People's Republic of China. His research interests include big data mining and knowledge management, data-driven management decisionmaking, machine learning, big data and digital economy, etc.
E-mail:yshi@ucas.ac.cn
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