The research aims to outline prospects and develop practical scientific recommendations for facilitating the green transition of digital economy infrastructure in support of decarbonization, focusing on smart transport systems in developing Asian countries. Drawing on 2025 statistical data and employing correlation analysis, the research substantiates and quantifies the synergistic effect of systemically applying modernization tools to transport and logistics infrastructure –an effect reflected in more effective achievement of the target benchmarks of this green transition. Using regression analysis, the authors developed an economic-mathematical model of the green transition of digital economy infrastructure to support decarbonization via smart transport systems. This model reveals previously unknown causal relationships stemming from the application of modernization tools in developing Asian countries. The research also provides key indicators for optimizing the intensity of these modernization efforts for the whole sample and each country considered. The empirical contribution of the authors’ conclusions and recommendations lies in their potential to enhance coordination between processes of smart automation and the green transformation of digital economy infrastructure aimed at supporting decarbonization through smart transport systems in developing Asian nations.

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Green Transition of Digital Economy Infrastructure to Support Decarbonization Through Smart Transport Systems

  • Elena G. Popkova,
  • Kuvanychbek B. Shadybekov,
  • Alymbek A. Orozbekov,
  • Nikolay V. Studenikin

摘要

The research aims to outline prospects and develop practical scientific recommendations for facilitating the green transition of digital economy infrastructure in support of decarbonization, focusing on smart transport systems in developing Asian countries. Drawing on 2025 statistical data and employing correlation analysis, the research substantiates and quantifies the synergistic effect of systemically applying modernization tools to transport and logistics infrastructure –an effect reflected in more effective achievement of the target benchmarks of this green transition. Using regression analysis, the authors developed an economic-mathematical model of the green transition of digital economy infrastructure to support decarbonization via smart transport systems. This model reveals previously unknown causal relationships stemming from the application of modernization tools in developing Asian countries. The research also provides key indicators for optimizing the intensity of these modernization efforts for the whole sample and each country considered. The empirical contribution of the authors’ conclusions and recommendations lies in their potential to enhance coordination between processes of smart automation and the green transformation of digital economy infrastructure aimed at supporting decarbonization through smart transport systems in developing Asian nations.