IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9432-d877822.html
   My bibliography  Save this article

How Does Enterprises’ Digital Transformation Impact the Educational Structure of Employees? Evidence from China

Author

Listed:
  • Yituan Liu

    (School of Business Administration, Shandong University of Finance and Economics, Jinan 250014, China)

  • Yabin Bian

    (School of Business Administration, Shandong University of Finance and Economics, Jinan 250014, China)

  • Wenhao Zhang

    (School of Accountancy, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

Digital transformation has had extensive impacts on enterprises and increased the concern that employees will be replaced by digital technologies. Achieving sustainability at the human resource level is a problem for enterprises. In this case, improving academic qualifications is regarded by most Chinese employees as an approach to improving their competitive advantages. Based on the panel data of China’s listed enterprises from 2014 to 2020, the twice fixed effects (TWFE) and continuous difference-in-differences (DID) methods are used to study the impact of enterprises’ digital transformation on employees’ educational structure (EES). The results show that enterprises’ digital transformation has a significantly positive impact on EES. For enterprises, specifically, the digital transformation increases the demand for employees with undergraduate degrees and reduces the demand for employees with high school degrees and below. The above results remain significant after controlling for endogeneity. However, the impact of digital transformation on employees with graduate degrees and above and associate degrees is not significant. We explain the above phenomena from the technological change assumption, the concept of human capital specificity, and the resource-based view. Results in this study provide references for employees to balance study or find a job and are beneficial for enterprises seeking to take advantage of digital transformation. Furthermore, the results can provide suggestions for achieving sustainability at the human resource level for enterprise development.

Suggested Citation

  • Yituan Liu & Yabin Bian & Wenhao Zhang, 2022. "How Does Enterprises’ Digital Transformation Impact the Educational Structure of Employees? Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-25, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9432-:d:877822
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9432/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/15/9432/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. Scott L. Newbert, 2007. "Empirical research on the resource‐based view of the firm: an assessment and suggestions for future research," Strategic Management Journal, Wiley Blackwell, vol. 28(2), pages 121-146, February.
    3. Alchian, Armen A & Demsetz, Harold, 1972. "Production , Information Costs, and Economic Organization," American Economic Review, American Economic Association, vol. 62(5), pages 777-795, December.
    4. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    5. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    6. Nathan Nunn & Nancy Qian, 2011. "The Potato's Contribution to Population and Urbanization: Evidence From A Historical Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 593-650.
    7. Masahiko Aoki, 2013. "A Model of the Firm as a Stockholder-Employee Cooperative Game," Chapters, in: Comparative Institutional Analysis, chapter 9, pages 141-142, Edward Elgar Publishing.
    8. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    9. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    10. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    11. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    12. 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.
    13. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    14. Petra Moser & Alessandra Voena, 2012. "Compulsory Licensing: Evidence from the Trading with the Enemy Act," American Economic Review, American Economic Association, vol. 102(1), pages 396-427, February.
    15. Robert Ojstersek & Hankun Zhang & Borut Buchmeister, 2022. "The Importance of Employees’ Knowledge in Sustainable, Green Manufacturing: Numerical Modeling Approach," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    16. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    17. Oliver E. Williamson & Michael L. Wachter & Jeffrey E. Harris, 1975. "Understanding the Employment Relation: The Analysis of Idiosyncratic Exchange," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 250-278, Spring.
    18. Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    19. Biagi, Federico & Falk, Martin, 2017. "The impact of ICT and e-commerce on employment in Europe," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 1-18.
    20. Peiyan Zhou & Shuya Zhou & Ming Zhang & Shujuan Miao, 2022. "Executive Overconfidence, Digital Transformation and Environmental Innovation: The Role of Moderated Mediator," IJERPH, MDPI, vol. 19(10), pages 1-28, May.
    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. Xuejun Jin & Xiao Pan, 2023. "Government Attention, Market Competition and Firm Digital Transformation," Sustainability, MDPI, vol. 15(11), pages 1-27, June.
    2. Jing Wang & Zeyu Xing & Rui Zhang, 2023. "AI technology application and employee responsibility," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.

    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. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    2. Corgnet, Brice & Hernán-González, Roberto & Mateo, Ricardo, 2023. "Peer effects in an automated world," Labour Economics, Elsevier, vol. 85(C).
    3. Zhang, Xinchun & Sun, Murong & Liu, Jianxu & Xu, Aijia, 2024. "The nexus between industrial robot and employment in China: The effects of technology substitution and technology creation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    4. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    5. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. José-Ignacio Antón & David Klenert & Enrique Fernández-Macías & Maria Cesira Urzì Brancati & Georgios Alaveras, 2022. "The labour market impact of robotisation in Europe," European Journal of Industrial Relations, , vol. 28(3), pages 317-339, September.
    7. Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
    8. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    9. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    10. Lipowski, Cäcilia & Salomons, Anna & Zierahn-Weilage, Ulrich, 2024. "Expertise at work: New technologies, new skills, and worker impacts," ZEW Discussion Papers 24-044, ZEW - Leibniz Centre for European Economic Research.
    11. Maria-Chiara Morandini & Anna Thum-Thysen & Anneleen Vandeplas, 2020. "Facing the Digital Transformation: Are Digital Skills Enough?," European Economy - Economic Briefs 054, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    12. Niu, Meng & Wang, Zhenguo & Zhang, Yabin, 2022. "How information and communication technology drives (routine and non-routine) jobs: Structural path and decomposition analysis for China," Telecommunications Policy, Elsevier, vol. 46(1).
    13. Kerstin Hotte & Melline Somers & Angelos Theodorakopoulos, 2022. "Technology and jobs: A systematic literature review," Papers 2204.01296, arXiv.org.
    14. Stefan Jestl, 2022. "Industrial Robots, and Information and Communication Technology: The Employment Effects in EU Labour Markets," wiiw Working Papers 215, The Vienna Institute for International Economic Studies, wiiw.
    15. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
    16. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    17. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    18. Lee Ohanian & Musa Orak & Shihan Shen, 2023. "Revisiting Capital-Skill Complementarity, Inequality, and Labor Share," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 479-505, December.
    19. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    20. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.

    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:14:y:2022:i:15:p:9432-:d:877822. 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.