IDEAS home Printed from https://ideas.repec.org/a/bba/j00010/v2y2023i3p16-36d245.html
   My bibliography  Save this article

Dynamic Nonlinear Relationship between Digital Transformation, Green Transformation in Manufacturing Industry and Labor Structure: Evidence from Panel VAR Analysis

Author

Listed:
  • Haiyong Jiang

    (School of Business, Guilin University of Technology, Guilin, China)

  • Yinghui Han

    (School of Business, Guilin University of Technology, Guilin, China)

  • Yue Wang

    (Ping An Bank Co., Ltd., Jinan Branch, Jinan, China)

  • Zhenyu Chen

    (Affairs Service Center of Ecological Environment of Liaoning Province, Shenyang, China)

Abstract

The digital transformation of manufacturing industry can promote the development of green transformation and promote the differentiation of workers’ skill structure; On the other hand, it will also hinder the green development due to the huge energy consumption generated by the application of digital technology and facilities. In addition, the green transformation of manufacturing industry will also have differentiated impacts on the employment of labour with different skills due to the innovation of green technology. The existing research has not discussed too much about the interaction among the digital transformation and green transformation in manufacturing industry and labour structure. So, this paper uses the PVAR model to examine the dynamic relationship between digital and green transformation within the industrial sector from the perspective of labour structure, specifically analyzing the impact difference across regions. The results suggest that there is a reciprocal connection between the digitization of manufacturing sector and the labour structure, particularly in the eastern region of China, but the overall interaction between the two remains weak. The interactive between the green transformation of manufacturing industry and the labour structure in the central and western areas has been delayed over periods 1-6. Digital and green manufacturing transformation reinforce each other in central and western regions. However, the digital revolution in the manufacturing industry is hindered by the green transformation in eastern region.

Suggested Citation

  • Haiyong Jiang & Yinghui Han & Yue Wang & Zhenyu Chen, 2023. "Dynamic Nonlinear Relationship between Digital Transformation, Green Transformation in Manufacturing Industry and Labor Structure: Evidence from Panel VAR Analysis," Review of Economic Assessment, Anser Press, vol. 2(3), pages 16-36, October.
  • Handle: RePEc:bba:j00010:v:2:y:2023:i:3:p:16-36:d:245
    as

    Download full text from publisher

    File URL: https://www.anserpress.org/journal/rea/2/3/17/pdf
    Download Restriction: no

    File URL: https://www.anserpress.org/journal/rea/2/3/17
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Harrigan & Ariell Reshef & Farid Toubal, 2021. "The March of the Techies: Job Polarization Within and Between Firms," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02973332, HAL.
    2. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    3. Magacho, Guilherme & Espagne, Etienne & Godin, Antoine & Mantes, Achilleas & Yilmaz, Devrim, 2023. "Macroeconomic exposure of developing economies to low-carbon transition," World Development, Elsevier, vol. 167(C).
    4. Harrigan, James & Reshef, Ariell & Toubal, Farid, 2021. "The March of the Techies: Job Polarization Within and Between Firms," Research Policy, Elsevier, vol. 50(7).
    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. Lionel Fontagné & Ariell Reshef & Gianluca Santoni & Giulio Vannelli, 2024. "Automation, global value chains and functional specialization," Review of International Economics, Wiley Blackwell, vol. 32(2), pages 662-691, May.
    2. Marialuisa Divella & Alessia Lo Turco & Alessandro Sterlacchini, 2023. "Local labour tasks and patenting in US commuting zones," Journal of Economic Geography, Oxford University Press, vol. 23(5), pages 1097-1119.
    3. James Harrigan & Ariell Reshef & Farid Toubal, 2018. "Techies, Trade, and Skill-Biased Productivity," NBER Working Papers 25295, National Bureau of Economic Research, Inc.
    4. Arntz, Melanie & Genz, Sabrina & Gregory, Terry & Lehmer, Florian & Zierahn-Weilage, Ulrich, 2024. "De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence," IZA Discussion Papers 16740, Institute of Labor Economics (IZA).
    5. Bustos, Emil, 2023. "The Effect of Centrally Bargained Wages on Firm Growth," Working Paper Series 1456, Research Institute of Industrial Economics.
    6. Mukherjee, Debmalya & Kumar, Satish & Pandey, Nitesh & Lahiri, Somnath, 2023. "Is offshoring dead? A multidisciplinary review and future directions," Journal of International Management, Elsevier, vol. 29(3).
    7. Mayda, Anna Maria & Santoni, Gianluca & Orefice, Gianluca, 2022. "Skilled Immigration, Task Allocation and the Innovation of Firms," CEPR Discussion Papers 17662, C.E.P.R. Discussion Papers.
    8. Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Axelle Arquié & Thomas Grjebine, 2024. "Are Mass Layoffs Individually Costly But Socially Beneficial?," Working Papers 2024-03, CEPII research center.
    10. Axelle Arquié & Julia Bertin, 2022. "The Heterogenous Effects of Employers’ Concentration on Wages: Better Sorting or Uneven Rent Extracting?," Working Papers 2022-09, CEPII research center.
    11. Julien CALAS & Antoine GODIN & Paul HADJI-LAZARO & Pamela SEKESE & Andrew SKOWNO, 2023. "Socioeconomic and spatially-explicit assessment of Nature-related risks: the case of South Africa," Working Paper 199e7bd0-7dfd-4a54-bc1d-9, Agence française de développement.
    12. Kapelyuk, Sergey & Karelin, Iliya, 2023. "Digital Skills: Classification, Empirical Estimates of the Demand," MPRA Paper 119644, University Library of Munich, Germany.

    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:bba:j00010:v:2:y:2023:i:3:p:16-36:d:245. 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: Ramona Wang (email available below). General contact details of provider: https://www.anserpress.org .

    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.