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A Digital Economy to Develop Policy Related to Transport and Logistics. Predictive Lessons from Russia

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  • Popkova, Elena G.
  • Sergi, Bruno S.

Abstract

This paper aims to explain how the digital economy might unfold new possibilities for optimizing the transport and logistics complex in Russia. This paper develops a new conceptual scenario model and a unique algorithm to show that investing in digital technologies is a critical move in Russia. Blockchain, Big Data, the Internet of Things, virtual reality, and artificial intelligence would be strengthened by ample access to finance, technology availability, government support, and consumers' preferences. Although this paper makes use of Russia’s system data where the contribution of transport and logistics in the GDP growth could reach 15–20 % by 2020, our findings may have applicability beyond the Russian case and definitively matter in a broader context of Eastern Europe and Central Asia.

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  • Popkova, Elena G. & Sergi, Bruno S., 2020. "A Digital Economy to Develop Policy Related to Transport and Logistics. Predictive Lessons from Russia," Land Use Policy, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837720312795
    DOI: 10.1016/j.landusepol.2020.105083
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    2. Linxiong Chen & Changbiao Zhong & Chong Li, 2022. "Research on the Impact of the Digital Economy on China’s New-Type Urbanization: Based on Spatial and Mediation Models," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    3. Yunwen Zhou & Zhijian Cai & Jie Wang, 2023. "Digital Rural Construction and Rural Household Entrepreneurship: Evidence from China," Sustainability, MDPI, vol. 15(19), pages 1-17, September.
    4. Jinde Jiang & Xiaobo Wang & Guoyin Xu & Shuhua Jiang & Jing Gu & Jing Zhang, 2023. "Exploring the Coupling Coordination and Spatial Correlation of Logistics Industry and Regional Economy in the Context of Sustainable Development: Evidence from the Yangtze River Delta Region," Sustainability, MDPI, vol. 15(2), pages 1-22, January.

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