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Can Data Elements Promote the High-Quality Development of China’s Economy?

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  • Peipei Qi

    (College of Wealth Management, Ningbo University of Finance & Economics, Ningbo 315175, China)

  • Dandan Sun

    (College of Wealth Management, Ningbo University of Finance & Economics, Ningbo 315175, China)

  • Can Xu

    (College of Wealth Management, Ningbo University of Finance & Economics, Ningbo 315175, China)

  • Qiang Li

    (College of Wealth Management, Ningbo University of Finance & Economics, Ningbo 315175, China)

  • Qi Wang

    (School of Mechatronics and Energy Engineering, NingboTech University, Ningbo 315100, China)

Abstract

In recent years, the digital economy, with data as the key production factor, has developed rapidly and become the driving force of China’s high-quality economic development. The relationship between data factors and high-quality economic development has gradually become a key topic of academic research. Based on the panel data of 30 provincial-level regions in China from 2014–2021, this study first constructs the proposed data factors and economic high-quality development evaluation indexes, respectively, by using the entropy weight method, and empirically analyzes whether data factors can promote economic high-quality development by using regression models. The results demonstrate the following: (1) Data elements play an important driving role in high-quality economic growth, and they have become an important engine for sustainable economic growth. (2) The development level of data elements has a stable growth rate and obvious regional differences, showing a pattern of “strong in the east and weak in the west, strong in the south and weak in the north”. (3) The degree of influence of data elements on different dimensions of high-quality economic development is inconsistent, with a greater influence on coordinated development, green development, and innovation development, while the effect on open development is not obvious. The above findings provide a reference and scientific basis for countries to formulate relevant policies to fully release the vitality of data elements and promote high-quality economic development.

Suggested Citation

  • Peipei Qi & Dandan Sun & Can Xu & Qiang Li & Qi Wang, 2023. "Can Data Elements Promote the High-Quality Development of China’s Economy?," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7287-:d:1134929
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    References listed on IDEAS

    as
    1. Dirk Bergemann & Alessandro Bonatti & Alex Smolin, 2018. "The Design and Price of Information," American Economic Review, American Economic Association, vol. 108(1), pages 1-48, January.
    2. Oded Galor & Omer Moav, 2004. "From Physical to Human Capital Accumulation: Inequality and the Process of Development," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(4), pages 1001-1026.
    3. Leonid V Azarnert, 2020. "Health capital provision and human capital accumulation," Oxford Economic Papers, Oxford University Press, vol. 72(3), pages 633-650.
    4. Long Xue & Qianyu Zhang & Xuemang Zhang & Chengyu Li, 2022. "Can Digital Transformation Promote Green Technology Innovation?," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    5. Hal Varian, 2018. "Artificial Intelligence, Economics, and Industrial Organization," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 399-419, National Bureau of Economic Research, Inc.
    6. Ghasemaghaei, Maryam & Calic, Goran, 2019. "Does big data enhance firm innovation competency? The mediating role of data-driven insights," Journal of Business Research, Elsevier, vol. 104(C), pages 69-84.
    7. Galor, Oded, 2005. "From Stagnation to Growth: Unified Growth Theory," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 4, pages 171-293, Elsevier.
    8. Thomas Chadefaux, 2014. "Early warning signals for war in the news," Journal of Peace Research, Peace Research Institute Oslo, vol. 51(1), pages 5-18, January.
    9. Leonid Azarnert, 2010. "Free education, fertility and human capital accumulation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(2), pages 449-468, March.
    10. Zhiqiang Zhou & Wenyan Liu & Pengfei Cheng & Zhenjin Li, 2022. "The Impact of the Digital Economy on Enterprise Sustainable Development and Its Spatial-Temporal Evolution: An Empirical Analysis Based on Urban Panel Data in China," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    Full references (including those not matched with items on IDEAS)

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