Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7287-d1134929.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7287/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/9/7287/
    Download Restriction: no
    ---><---

    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)

    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. Kristaps Lesinskis & Inese Mavlutova & Aivars Spilbergs & Janis Hermanis, 2023. "Digital Transformation in Entrepreneurship Education: The Use of a Digital Tool KABADA and Entrepreneurial Intention of Generation Z," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    2. Pingkuo Liu & Jiahao Wu, 2023. "Game Analysis on Energy Enterprises’ Digital Transformation—Strategic Simulation for Guiding Role, Leading Role and Following Role," Sustainability, MDPI, vol. 15(13), pages 1-33, June.
    3. Gökçe Tekin Turhan & Pınar Tokal & Gamze Sart, 2023. "The Role of Financial Sector Development and Educational Attainment in the Achievement of Economic Sustainability: Evidence from BRICS Economies," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    4. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    5. Azarnert, Leonid V., 2010. "Immigration, fertility, and human capital: A model of economic decline of the West," European Journal of Political Economy, Elsevier, vol. 26(4), pages 431-440, December.
    6. Parantap Basu & Alessandra Guariglia, 2008. "Does Low Education Delay Structural Transformation?," Southern Economic Journal, John Wiley & Sons, vol. 75(1), pages 104-127, July.
    7. Yuki, Kazuhiro, 2016. "Education, Inequality, And Development In A Dual Economy," Macroeconomic Dynamics, Cambridge University Press, vol. 20(1), pages 27-69, January.
    8. Broadberry, Stephen & Ghosal, Sayantan & Proto, Eugenio, 2017. "Anonymity, efficiency wages and technological progress," Journal of Development Economics, Elsevier, vol. 127(C), pages 379-394.
    9. Lindner, Ines & Strulik, Holger, 2014. "The great divergence: A network approach," University of Göttingen Working Papers in Economics 193, University of Goettingen, Department of Economics.
    10. repec:got:cegedp:140 is not listed on IDEAS
    11. Leonid V. Azarnert, 2011. "Male vs. Female Guest-Worker Migration: Does it Matter for Fertility in the Source Country?," Working Papers 2011-25, Bar-Ilan University, Department of Economics.
    12. Broadberry, Stephen & Ghosal, Sayantan & Proto, Eugenio, 2011. "Is Anonymity the Missing Link Between Commercial and Industrial Revolution?," The Warwick Economics Research Paper Series (TWERPS) 974, University of Warwick, Department of Economics.
    13. Kunting Chen, 2012. "Analysis of the Great Divergence under a Unified Endogenous Growth Model," Annals of Economics and Finance, Society for AEF, vol. 13(2), pages 317-353, November.
    14. David E Bloom & Michael Kuhn & Klaus Prettner, 2020. "The contribution of female health to economic development [The costs of missing the Millennium Development Goal on gender equity]," The Economic Journal, Royal Economic Society, vol. 130(630), pages 1650-1677.
    15. Chu, Angus C. & Peretto, Pietro F., 2023. "Innovation and inequality from stagnation to growth," European Economic Review, Elsevier, vol. 160(C).
    16. Glomm, Gerhard & Kaganovich, Michael, 2008. "Social security, public education and the growth-inequality relationship," European Economic Review, Elsevier, vol. 52(6), pages 1009-1034, August.
    17. Jakob Madsen & Holger Strulik, 2023. "Testing unified growth theory: Technological progress and the child quantity‐quality tradeoff," Quantitative Economics, Econometric Society, vol. 14(1), pages 235-275, January.
    18. Oded Galor & Omer Moav & Dietrich Vollrath, 2009. "Inequality in Landownership, the Emergence of Human-Capital Promoting Institutions, and the Great Divergence," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 143-179.
    19. Casey, Gregory P. & Owen, Ann L., 2014. "Inequality and Fractionalization," World Development, Elsevier, vol. 56(C), pages 32-50.
    20. Álvarez, Begoña & Palencia, Fernando Ramos, 2018. "Human capital and earnings in eighteenth-century Castile," Explorations in Economic History, Elsevier, vol. 67(C), pages 105-133.
    21. Parantap Basu & Alessandra Guariglia, 2008. "Does Low Education Delay Structural Transformation?," Southern Economic Journal, Southern Economic Association, vol. 75(1), pages 104-127, July.

    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:gam:jsusta:v:15:y:2023:i:9:p:7287-:d:1134929. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.