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  • 标题:Modeling of scenarios for the implementation of eco-technological innovation to ensure transition to a low carbon economy based on game theory
  • 本地全文:下载
  • 作者:Elena Razumovskaya ; Denis Razumovsky ; Zhenglian Tang
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2021
  • 卷号:128
  • 页码:1-9
  • DOI:10.1051/shsconf/202112803009
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Achieving sustainable economic development is achieved by high-tech innovations in the field of IT. The orientation of technical innovations towards the ecological principles of organizing modern industries in all sectors of the economy is designed to ensure the transition to a low-carbon model of global development. At the first stage of the transition, it is planned to create and apply systems for reducing greenhouse gas emissions through quotas and tax incentives. The advantages and disadvantages of a low-carbon model are extremely difficult to assess in practice, since such an assessment is associated with predictive calculations of external effects. In order to overcome these difficulties, the authors made an attempt to apply the methods of mathematical modeling from the standpoint of game theory. In particular, a model analysis of the strategy of highly toxic, polluting and high-energy-intensive industries in the public sector and the investment strategy of eco-technological innovations of private companies was carried out. Based on the results of game modeling, the authors proposed a project for a new energy system “UHV technology”, which involves investment financing of technical innovations of a low-carbon model for the development of the territories of the People’s Republic of China.
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