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Regional Digital Economy: Assessment of Development Levels

Author

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  • Anatoly Sidorov

    (Department of Data Processing Automation, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia)

  • Pavel Senchenko

    (Department of Data Processing Automation, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia)

Abstract

A model of a composite index of the development level digital economy of regions in various sizes is proposed. It is based on a functional network as a kind of directed graph, structured by levels based on the principles of hierarchy, modularity and balance, as well as the availability of data on the development of the digital economy. The scalar value of the required quantity was determined by means of additive convolution. The influence of the subjective factor was excluded by moving away from the expert determination of weighing measures of particular indicators (which are included in the composite index) and using a calculation based on the standard deviation. The proposed approach was tested in the framework of identifying the differentiation of the development level digital economy of regions in Russia, as well as comparing European and Russian practices.

Suggested Citation

  • Anatoly Sidorov & Pavel Senchenko, 2020. "Regional Digital Economy: Assessment of Development Levels," Mathematics, MDPI, vol. 8(12), pages 1-23, December.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:12:p:2143-:d:454588
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    References listed on IDEAS

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    Cited by:

    1. Viktoria V. Akberdina & Ilya V. Naumov & Sergey S. Krasnykh, 2023. "Digital Space of Regions: Assessment of Development Factors and Influence on Socio-Economic Growth," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(2), pages 294-322.
    2. Valentin Nikolaenko & Anatoly Sidorov, 2023. "Analysis of 105 IT Project Risks," JRFM, MDPI, vol. 16(1), pages 1-20, January.
    3. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    4. Liang, Lin & Li, Yan, 2023. "How does government support promote digital economy development in China? The mediating role of regional innovation ecosystem resilience," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    5. Guangdi Zhang & Yaojun Ye & Mengya Sun, 2023. "Assessing the Static and Dynamic Efficiency of Digital Economy in China: Three Stage DEA–Malmquist Index Based Approach," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    6. Juchun Lu & Siqun Zhou & Xiaohan Xiao & Meng Zhong & Yifan Zhao, 2023. "The Dynamic Evolution of the Digital Economy and Its Impact on the Urban Green Innovation Development from the Perspective of Driving Force—Taking China’s Yangtze River Economic Belt Cities as an Exam," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    7. Olga Chereshnia, 2023. "Spatial Assessment of the Digital Economy at the National and Sub-National Level," Social Sciences, MDPI, vol. 12(8), pages 1-15, August.
    8. Yuxia Guo & Huiying Mao & Heping Ding & Xue Wu & Yujia Liu & Hongjun Liu & Shuling Zhou, 2022. "Data-Driven Coordinated Development of the Digital Economy and Logistics Industry," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    9. Hao Zhou & Xinyi Li & Xiaoli Li, 2023. "Can the Digital Economy Improve the Level of High-Quality Financial Development? Evidence from China," Sustainability, MDPI, vol. 15(9), pages 1-13, April.
    10. Valentin Nikolaenko & Anatoly Sidorov, 2023. "Assessment of Project Management Maturity Models Strengths and Weaknesses," JRFM, MDPI, vol. 16(2), pages 1-19, February.

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