IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0270859.html
   My bibliography  Save this article

Evaluation of digital economy development level based on multi-attribute decision theory

Author

Listed:
  • Jinqi Su
  • Ke Su
  • Shubin Wang

Abstract

The maturity and commercialization of emerging digital technologies represented by artificial intelligence, cloud computing, block chain and virtual reality are giving birth to a new and higher economic form, that is, digital economy. Digital economy is different from the traditional industrial economy. It is clean, efficient, green and recyclable. It represents and promotes the future direction of global economic development, especially in the context of the sudden COVID-19 pandemic as a continuing disaster. Therefore, it is essential to establish the comprehensive evaluation model of digital economy development scientifically and reasonably. In this paper, first on the basis of literature analysis, the relevant indicators of digital economy development are collected manually and then screened by the grey dynamic clustering and rough set reduction theory. The evaluation index system of digital economy development is constructed from four dimensions: digital innovation impetus support, digital infrastructure construction support, national economic environment and digital policy guarantee, digital integration and application. Next the subjective weight and objective weight are calculated by the group FAHP method, entropy method and improved CRITIC method, and the combined weight is integrated with the thought of maximum variance. The grey correlation analysis and improved VIKOR model are combined to systematically evaluate the digital economy development level of 31 provinces and cities in China from 2013 to 2019. The results of empirical analysis show that the overall development of China’s digital economy shows a trend of superposition and rise, and the development of digital economy in the four major economic zones is unbalanced. Finally, we put forward targeted opinions on the construction of China’s provincial digital economy.

Suggested Citation

  • Jinqi Su & Ke Su & Shubin Wang, 2022. "Evaluation of digital economy development level based on multi-attribute decision theory," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-39, October.
    • Handle: RePEc:plo:pone00:0270859
    DOI: 10.1371/journal.pone.0270859
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0270859
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270859&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0270859?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Erik Brynjolfsson & Brian Kahin (ed.), 2002. "Understanding the Digital Economy: Data, Tools, and Research," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262523302, December.
    2. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
    3. Choi, Changkyu & Hoon Yi, Myung, 2009. "The effect of the Internet on economic growth: Evidence from cross-country panel data," Economics Letters, Elsevier, vol. 105(1), pages 39-41, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jinqi Su & Ke Su & Shubin Wang, 2021. "Does the Digital Economy Promote Industrial Structural Upgrading?—A Test of Mediating Effects Based on Heterogeneous Technological Innovation," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    2. Tang, Chang & Xu, Yuanyuan & Hao, Yu & Wu, Haitao & Xue, Yan, 2021. "What is the role of telecommunications infrastructure construction in green technology innovation? A firm-level analysis for China," Energy Economics, Elsevier, vol. 103(C).
    3. Jin, Canyang & Xu, Aiting & Zhu, Yuhan & Li, Jinchang, 2023. "Technology growth in the digital age: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    4. Bakari, Sayef & Tiba, Sofien, 2020. "The Impact of Internet on Economic Growth in North Africa: New empirical and policy analysis," MPRA Paper 100609, University Library of Munich, Germany.
    5. Yang Liu & Yaojun Fan & Yifan Wang & Jiayu Huang & Hu Xun, 2024. "City innovation ability and internet infrastructure development: Evidence from the “Broadband China” policy," Bulletin of Economic Research, Wiley Blackwell, vol. 76(1), pages 121-146, January.
    6. Bakari, Sayef & Tiba, Sofien, 2019. "The Impact of Internet on Economic Growth: Evidence from North Africa," MPRA Paper 96629, University Library of Munich, Germany.
    7. Habib Ur Rahman & Ghulam Ali & Umer Zaman & Carlo Pugnetti, 2021. "Role of ICT Investment and Diffusion in the Economic Growth: A Threshold Approach for the Empirical Evidence from Pakistan," IJFS, MDPI, vol. 9(1), pages 1-14, March.
    8. Vu, Khuong & Hanafizadeh, Payam & Bohlin, Erik, 2020. "ICT as a driver of economic growth: A survey of the literature and directions for future research," Telecommunications Policy, Elsevier, vol. 44(2).
    9. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Empirical Study towards the Drivers of Sustainable Economic Growth in EU-28 Countries," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    10. Elstner, Steffen & Feld, Lars P. & Schmidt, Christoph M., 2018. "The German productivity paradox: Facts and explanations," Ruhr Economic Papers 767, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Volker Grossmann, 2005. "White-collar employment, inequality, and technological change," Journal of Economics, Springer, vol. 10(1), pages 119-142, December.
    12. Diane Coyle & Jen‐Chung Mei, 2023. "Diagnosing the UK productivity slowdown: which sectors matter and why?," Economica, London School of Economics and Political Science, vol. 90(359), pages 813-850, July.
    13. Svante Prado, 2014. "Yeast or mushrooms? Productivity patterns across Swedish manufacturing industries, 1869–1912," Economic History Review, Economic History Society, vol. 67(2), pages 382-408, May.
    14. Kiley, Michael T., 2001. "Computers and growth with frictions: aggregate and disaggregate evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 171-215, December.
    15. Andrew Reeson & Lachlan Rudd, 2016. "ICT Activity, Innovation and Productivity: An Analysis of Data From Australian Businesses," Economic Papers, The Economic Society of Australia, vol. 35(3), pages 245-255, September.
    16. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2008. "A Retrospective Look at the U.S. Productivity Growth Resurgence," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 3-24, Winter.
    17. Yunhee Kim & Jae Young Choi & Yeonbae Kim, 2009. "Complementarity and Contextuality in the Adoption of Information Systems in Korean Firms," TEMEP Discussion Papers 200919, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2009.
    18. Espinoza, Héctor & Kling, Gerhard & McGroarty, Frank & O'Mahony, Mary & Ziouvelou, Xenia, 2020. "Estimating the impact of the Internet of Things on productivity in Europe," LSE Research Online Documents on Economics 116391, London School of Economics and Political Science, LSE Library.
    19. Qiansheng Gong & Xiangyu Wang & Xi Tang, 2023. "How Can the Development of Digital Economy Empower Green Transformation and Upgrading of the Manufacturing Industry?—A Quasi-Natural Experiment Based on the National Big Data Comprehensive Pilot Zone ," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    20. Pitorac Ruxandra Ioana & Cismaº Laura Mariana, 2012. "Innovation– An Influence Factor Of Cyclical Fluctuations. Study Case For Romania, Between 1995 And 2009," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 365-370, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0270859. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.