IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i14p6173-d1438484.html
   My bibliography  Save this article

Research on the Impact of Digital-Real Integration on Logistics Industrial Transformation and Upgrading under Green Economy

Author

Listed:
  • Zhiqiang Liu

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

  • Yaping Zhao

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

  • Caiyun Guo

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

  • Ziwei Xin

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

Abstract

Digital-real integration and green economy have become an important driving force to propel logistics industrial transformation upgrading and sustainable development. This paper analyzed the impact of digital-real integration on the transformation and upgrading of the logistics industry and the role of green economy from the perspectives of endogenous growth theory, green development theory, and industrial organization theory. Utilizing the panel data spanning 2013 to 2022 from 11 cities in Hebei Province, China, this study established the measurement indicator systems of logistics industrial transformation and upgrading, digital-real integration, and green economy, and measured the integrated developmental level employing an entropy weight–TOPSIS–grey correlation model. Further, the benchmark regression model, moderation effect model, and threshold effect model were applied to delve into the influence mechanism of logistics industrial transformation and upgrading influenced by digital-real integration under the green economy. The research results showed that: Digital-real integration contributed favorably to the transformation and upgrading of the logistics industry. The green economy exerted a beneficial moderating influence on the process, where digital-real integration affected the transformation upgrading of the logistics industry, and the moderating effect of the innovation elements was significantly the strongest. Digital-real integration exhibited a single threshold effect, and the moderating impact of the green economy also had a single threshold condition, and once both thresholds were surpassed, digital-real integration significantly promoted the logistics industrial reformation and upgrading. Drawing from the aforementioned conclusions, this study advanced development recommendations in terms of strengthening regional cooperation, intensifying digital-real integration, exerting the effect of the green economy, and establishing dynamic monitoring and evaluation mechanisms.

Suggested Citation

  • Zhiqiang Liu & Yaping Zhao & Caiyun Guo & Ziwei Xin, 2024. "Research on the Impact of Digital-Real Integration on Logistics Industrial Transformation and Upgrading under Green Economy," Sustainability, MDPI, vol. 16(14), pages 1-26, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6173-:d:1438484
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/14/6173/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/14/6173/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eller, Robert & Alford, Philip & Kallmünzer, Andreas & Peters, Mike, 2020. "Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization," Journal of Business Research, Elsevier, vol. 112(C), pages 119-127.
    2. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    3. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    4. Yadav, Sanjeev & Samadhiya, Ashutosh & Kumar, Anil & Luthra, Sunil & Kumar, Vikas & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2024. "The interplay effects of digital technologies, green integration, and green innovation on food supply chain sustainable performance: An organizational information processing theory perspective," Technology in Society, Elsevier, vol. 77(C).
    5. Gao, Qiang & Cheng, Changming & Sun, Guanglin, 2023. "Big data application, factor allocation, and green innovation in Chinese manufacturing enterprises," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    6. Liu, Hongwei & Wu, Jie & Chu, Junfei, 2019. "Environmental efficiency and technological progress of transportation industry-based on large scale data," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 475-482.
    7. Lin, Justin Yifu & Liu, Zhengwen & Zhang, Bo, 2023. "Endowment, technology choice, and industrial upgrading," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 364-381.
    8. Blichfeldt, Henrik & Faullant, Rita, 2021. "Performance effects of digital technology adoption and product & service innovation – A process-industry perspective," Technovation, Elsevier, vol. 105(C).
    9. Che, Chou Ming, 2013. "Panel threshold analysis of Taiwan's outbound visitors," Economic Modelling, Elsevier, vol. 33(C), pages 787-793.
    10. Gereffi, Gary, 1999. "International trade and industrial upgrading in the apparel commodity chain," Journal of International Economics, Elsevier, vol. 48(1), pages 37-70, June.
    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. Zhuoxi Yu & Shan Liu & Zhichuan Zhu, 2022. "Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    2. Feng, Chao & Liu, Yu-Qi & Yang, Jun, 2024. "Do energy trade patterns affect renewable energy development? The threshold role of digital economy and economic freedom," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    3. Crespo, Nuno Fernandes & Crespo, Cátia Fernandes & Silva, Graça Miranda & Nicola, Maura Bedin, 2023. "Innovation in times of crisis: The relevance of digitalization and early internationalization strategies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    4. Ahmadova, Gozal & Delgado-Márquez, Blanca L. & Pedauga, Luis E. & Leyva-de la Hiz, Dante I., 2022. "Too good to be true: The inverted U-shaped relationship between home-country digitalization and environmental performance," Ecological Economics, Elsevier, vol. 196(C).
    5. Guihuan Yan & Yi Chen, 2023. "The Impact of Financial Development on Industrial Upgrading Based on the Analysis of Intermediation Effect and Threshold Effect," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    6. Wang, Bo & Gong, Siyu & Yang, Yang, 2024. "Unveiling the relation between digital technology and low-carbon innovation: Carbon emission trading policy as an antecedent," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    7. Jun Zhang & Li Cheng, 2019. "Threshold Effect of Tourism Development on Economic Growth Following a Disaster Shock: Evidence from the Wenchuan Earthquake, P.R. China," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    8. Su, Jingqin & Zhang, Yajie & Wu, Xianyun, 2023. "How market pressures and organizational readiness drive digital marketing adoption strategies' evolution in small and medium enterprises," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    9. Wang, Xiangyang & Liu, Zhiyi & Li, Jiamin & Lei, Xuefei, 2023. "How organizational unlearning leverages digital process innovation to improve performance: The moderating effects of smart technologies and environmental turbulence," Technology in Society, Elsevier, vol. 75(C).
    10. Wang, Lianghu & Shao, Jun, 2024. "The energy saving effects of digital infrastructure construction: Empirical evidence from Chinese industry," Energy, Elsevier, vol. 294(C).
    11. Qinglu Yuan & Huan Zhou, 2021. "An Analysis on Bank Credit and Industrial Structure Upgrading of Beijing-Tianjin-Hebei Region-Based on Technological Innovation Mode," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(1), pages 1-1.
    12. Senna, Pedro P. & Bonnin Roca, Jaime & Barros, Ana C., 2023. "Overcoming barriers to manufacturing digitalization: Policies across EU countries," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    13. Chiu, Chien-Liang & Chang, Ting-Huan, 2009. "What proportion of renewable energy supplies is needed to initially mitigate CO2 emissions in OECD member countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1669-1674, August.
    14. Valeria Costantini & Francesco Crespi & Giovanni Marin & Elena Paglialunga, 2016. "Eco-innovation, sustainable supply chains and environmental performance in European industries," LEM Papers Series 2016/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Nicolas Canry & Julien Fouquau & Sébastien Lechevalier, 2011. "Sectoral Price Dynamics in Japan: A Threshold Approach," Economics Bulletin, AccessEcon, vol. 31(2), pages 1322-1335.
    16. Epede, Mesumbe Bianca & Wang, Daoping, 2022. "Global value chain linkages: An integrative review of the opportunities and challenges for SMEs in developing countries," International Business Review, Elsevier, vol. 31(5).
    17. Jean C. Kouam & Simplice Asongu, 2022. "The non-linear effects of fixed broadband on economic growth in Africa," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(5), pages 881-895, August.
    18. Jan Fagerberg & Bengt-Åke Lundvall & Martin Srholec, 2018. "Global Value Chains, National Innovation Systems and Economic Development," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(3), pages 533-556, July.
    19. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    20. Wei ZHAO & Rigas ARVANITIS, 2008. "L’INeGAL DeVELOPPEMENT INDUSTRIEL DE LA CHINE : CAPACITeS D’INNOVATION ET COEXISTENCE DE DIFFeRENTS MODES D’APPRENTISSAGE TECHNOLOGIQUE," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 28, pages 61-85.

    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:16:y:2024:i:14:p:6173-:d:1438484. 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.