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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
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    References listed on IDEAS

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    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. Chaudhuri, Ranjan & Chatterjee, Sheshadri & Gupta, Shivam & Kamble, Sachin, 2023. "Green supply chain technology and organization performance: Moderating role of environmental dynamism and product-service innovation capability," Technovation, Elsevier, vol. 128(C).
    10. Che, Chou Ming, 2013. "Panel threshold analysis of Taiwan's outbound visitors," Economic Modelling, Elsevier, vol. 33(C), pages 787-793.
    11. 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.
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