IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v84y2024icp1771-1787.html
   My bibliography  Save this article

Can linguistic big data empower digital economy?: Evidence from China

Author

Listed:
  • Xie, Mengjun
  • Zhang, Chengping

Abstract

The paper develops a theoretical framework and provides empirical evidence to illuminate the impact of linguistic big data on shaping the digital economy. Using a value-added accounting method, we quantify the scale of the digital economy and develop an econometric model to empirically evaluate its growth driven by linguistic big data. Our findings highlight the pivotal role of linguistic big data in mitigating resource mismatches caused by information asymmetry, enhancing the efficiency of supply-demand dynamics in online trading markets, and expanding the transactional reach of the digital economy. Furthermore, our analysis reveals notable heterogeneity in the impact of linguistic big data across different regions and sectors. Specifically, its influence is more pronounced in eastern China and has a greater effect on digital industrialization compared to industrial digitalization. Additionally, its impact on the digital service industry is more substantial than the impact on digital manufacturing sector. This study carries important implications and offers valuable policy insights for fostering the advancement of the digital economy. These insights can inform strategic initiatives that leverage linguistic big data to drive the growth of the digital economy.

Suggested Citation

  • Xie, Mengjun & Zhang, Chengping, 2024. "Can linguistic big data empower digital economy?: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1771-1787.
    • Handle: RePEc:eee:ecanpo:v:84:y:2024:i:c:p:1771-1787
    DOI: 10.1016/j.eap.2024.11.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592624003199
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eap.2024.11.007?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    2. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    3. Xie, Mengjun, 2021. "Increase in income and international promotion of language: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 275-289.
    4. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lei Tong & Lu Tang, 2025. "Regional Differences and Spatial-Temporal Evolution Characteristics of Digital Economy Development in China," Sustainability, MDPI, vol. 17(10), pages 1-22, May.
    2. Li Cai & Jianhua Xiao & Renxian Zuo, 2025. "Research on the Evolution Characteristics of Policy System That Supports the Sustainability of Digital Economy: Text Analysis Based on China’s Digital Economy Policies," Sustainability, MDPI, vol. 17(9), pages 1-31, April.

    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. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    2. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1445-1488, December.
    3. John R. Baldwin & Wulong Gu & Beiling Yan, 2013. "Export Growth, Capacity Utilization, and Productivity Growth: Evidence from the Canadian Manufacturing Plants," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(4), pages 665-688, December.
    4. Zhang, Liming & Liu, Yaxuan & Sun, Helin, 2025. "Does green product certification affect corporate total factor productivity? Evidence from China," Journal of Business Research, Elsevier, vol. 197(C).
    5. David Greenstreet, 2007. "Exploiting Sequential Learning to Estimate Establishment-Level Productivity Dynamics and Decision Rules," Economics Series Working Papers 345, University of Oxford, Department of Economics.
    6. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    7. Yılmaz Kılıçaslan & Robin C. Sickles & Aliye Atay Kayış & Yeşim Üçdoğruk Gürel, 2017. "Impact of ICT on the productivity of the firm: evidence from Turkish manufacturing," Journal of Productivity Analysis, Springer, vol. 47(3), pages 277-289, June.
    8. Erik Hille & Patrick Möbius, 2019. "Environmental Policy, Innovation, and Productivity Growth: Controlling the Effects of Regulation and Endogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1315-1355, August.
    9. Massimo Colombo & Annalisa Croce & Samuele Murtinu, 2014. "Ownership structure, horizontal agency costs and the performance of high-tech entrepreneurial firms," Small Business Economics, Springer, vol. 42(2), pages 265-282, February.
    10. Nikita Céspedes & María E. Aquije & Alan Sánchez & Rafael Vera Tudela, 2016. "Productividad sectorial en el Perú: un análisis a nivel de firmas," Chapters of Books, in: Nikita Céspedes & Pablo Lavado & Nelson Ramírez Rondán (ed.), Productividad en el Perú: medición, determinantes e implicancias, edition 1, volume 1, chapter 3, pages 70-92, Fondo Editorial, Universidad del Pacífico.
    11. Amit Gandhi & Salvador Navarro & David Rivers, 2011. "On the Identification of Production Functions: How Heterogeneous is Productivity?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20119, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    12. Chen, Zhiyuan & Li, Yong & Zhang, Jie, 2016. "The bank–firm relationship: Helping or grabbing?," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 385-403.
    13. Xu He & Qin-Lei Jing, 2022. "The Impact of Environmental Tax Reform on Total Factor Productivity of Heavy-Polluting Firms Based on a Dual Perspective of Technological Innovation and Capital Allocation," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    14. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    15. Andrea Lasagni & Annamaria Nifo & Gaetano Vecchione, 2015. "Firm Productivity And Institutional Quality: Evidence From Italian Industry," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 774-800, November.
    16. Andrés Rodríguez‐Pose & Roberto Ganau & Kristina Maslauskaite & Monica Brezzi, 2021. "Credit constraints, labor productivity, and the role of regional institutions: Evidence from manufacturing firms in Europe," Journal of Regional Science, Wiley Blackwell, vol. 61(2), pages 299-328, March.
    17. Anna Giunta & Domenico Scalera & Francesco Trivieri & Jeffrey B. Nugent & Mariarosaria Agostino, 2011. "Firm Productivity, Organizational Choice and Global Value Chain," Working Papers 2011R09, Orkestra - Basque Institute of Competitiveness.
    18. Bhattacharya, Mita & Okafor, Luke Emeka & Pradeep, V., 2021. "International firm activities, R&D, and productivity: Evidence from Indian manufacturing firms," Economic Modelling, Elsevier, vol. 97(C), pages 1-13.
    19. Dariusz Cezary Kotlewski, 2023. "The soundness of returning to manufacturing through the lens of productivity accounting," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 3, pages 253-274.
    20. Christopher F Baum & Hans Lööf & Pardis Nabavi, 2019. "Innovation strategies, external knowledge and productivity growth," Industry and Innovation, Taylor & Francis Journals, vol. 26(3), pages 348-367, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:ecanpo:v:84:y:2024:i:c:p:1771-1787. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/economic-analysis-and-policy .

    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.