IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i4p1753-d1594949.html
   My bibliography  Save this article

How Does China Explore the Synergetic Development of Automotive Industry and Semiconductor Industry with the Opportunity for Industrial Transformation?

Author

Listed:
  • Wang Zhang

    (State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China
    Tsinghua Automotive Strategy Research Institute, Tsinghua University, Beijing 100084, China)

  • Fuquan Zhao

    (State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China
    Tsinghua Automotive Strategy Research Institute, Tsinghua University, Beijing 100084, China)

  • Zongwei Liu

    (State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China
    Tsinghua Automotive Strategy Research Institute, Tsinghua University, Beijing 100084, China)

Abstract

Amidst the unfolding technological revolution and industrial transformation, the synergistic development between China’s automotive and semiconductor industries has emerged as a salient trend. To explore the potential difficulties and pathways of the synergistic development of the two industries, this study conducted cross-sectional surveys across three phases, specifically in March 2021, March 2022, and March 2024. The first phase of the survey identified that the two industries could mutually promote each other in both technical and market aspects and pinpointed three major challenges: computational capacity bottlenecks, supply chain risks, and unclear industrial cooperation models. The second phase of the survey discussed three opportunities to address the three challenges, respectively: intelligent vehicle infrastructure cooperative system, supply chain localization, and the reconstruction of the technology stack. The third phase of the survey summarized the development experience over the past three years, validated the aforementioned opportunities, and suggested the government promote the digitalization of vehicles and mobility, automotive companies use more domestic chips, and two industries build the ecological cooperation model.

Suggested Citation

  • Wang Zhang & Fuquan Zhao & Zongwei Liu, 2025. "How Does China Explore the Synergetic Development of Automotive Industry and Semiconductor Industry with the Opportunity for Industrial Transformation?," Sustainability, MDPI, vol. 17(4), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1753-:d:1594949
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/4/1753/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/4/1753/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, Chuan-Kai & Yu, Limeng, 2022. "A multi-level perspective on 5G transition: The China case," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Llopis-Albert, Carlos & Rubio, Francisco & Valero, Francisco, 2021. "Impact of digital transformation on the automotive industry," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    3. Toshiyuki Sueyoshi & Youngbok Ryu, 2020. "Performance Assessment of the Semiconductor Industry: Measured by DEA Environmental Assessment," Energies, MDPI, vol. 13(22), pages 1-24, November.
    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. Yuanyuan Lou & Ahreum Hong & Yannan Li, 2024. "Assessing the Role of HRM and HRD in Enhancing Sustainable Job Performance and Innovative Work Behaviors through Digital Transformation in ICT Companies," Sustainability, MDPI, vol. 16(12), pages 1-18, June.
    2. Alkaraan, Fadi & Elmarzouky, Mahmoud & Hussainey, Khaled & Venkatesh, V.G., 2023. "Sustainable strategic investment decision-making practices in UK companies: The influence of governance mechanisms on synergy between industry 4.0 and circular economy," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    3. Hua Zhang & Qiwang Zhang, 2023. "How Does Digital Transformation Facilitate Enterprise Total Factor Productivity? The Multiple Mediators of Supplier Concentration and Customer Concentration," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    4. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    5. Zhou, Zhongsheng & Li, Zhuo, 2023. "Corporate digital transformation and trade credit financing," Journal of Business Research, Elsevier, vol. 160(C).
    6. Youngbok Ryu & Toshiyuki Sueyoshi, 2021. "Examining the Relationship between the Economic Performance of Technology-Based Small Suppliers and Socially Sustainable Procurement," Sustainability, MDPI, vol. 13(13), pages 1-23, June.
    7. Rubio, Francisco & Llopis-Albert, Carlos & Valero, Francisco, 2021. "Multi-objective optimization of costs and energy efficiency associated with autonomous industrial processes for sustainable growth," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Hedan Ma & Xinliang Jia & Xin Wang, 2022. "Digital Transformation, Ambidextrous Innovation and Enterprise Value: Empirical Analysis Based on Listed Chinese Manufacturing Companies," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    9. Thomson, Linus & Sjödin, David & Parida, Vinit & Jovanovic, Marin, 2023. "Conceptualizing business model piloting: An experiential learning process for autonomous solutions," Technovation, Elsevier, vol. 126(C).
    10. Viktora-Jones, Magdalena & Parente, Ronaldo & Drori, Netanel & Zhao, Yue, 2024. "Firm performance drivers within a dynamic emerging market ecosystem," Journal of International Management, Elsevier, vol. 30(1).
    11. Yangjun Ren & Botang Li, 2022. "Digital Transformation, Green Technology Innovation and Enterprise Financial Performance: Empirical Evidence from the Textual Analysis of the Annual Reports of Listed Renewable Energy Enterprises in C," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    12. Jinkai Liang & Ke Du & Dandan Chen, 2023. "The Effect of Digitalization on Ambidextrous Innovation in Manufacturing Enterprises: A Perspective of Empowering and Enabling," Sustainability, MDPI, vol. 15(16), pages 1-23, August.
    13. Di Wang & Xuefeng Shao & Yang Song & Hualu Shao & Longqi Wang, 2023. "The Effect of Digital Transformation on Manufacturing Enterprise Performance," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 593-593, April.
    14. Miozza, Mario & Brunetta, Federica & Appio, Francesco Paolo, 2024. "Digital transformation of the Pharmaceutical Industry: A future research agenda for management studies," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    15. Zhai, Huayun & Yang, Min & Chan, Kam C., 2022. "Does digital transformation enhance a firm's performance? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    16. Rubio, Francisco & Llopis-Albert, Carlos & Besa, Antonio José, 2023. "Optimal allocation of energy sources in hydrogen production for sustainable deployment of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    17. Lianhong QIU & Haidan SU & Chi-Wei SU & Meng QIN, 2024. "The Essential Role of Big Data: Could it Effectively Mitigate Non-Performing Loans?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 140-160, October.
    18. Cayetano Medina-Molina & María de la Sierra Rey-Tienda & Eva María Suárez-Redondo, 2022. "The Transition of Cities towards Innovations in Mobility: Searching for a Global Perspective," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    19. Guanqiao Zhang & Tao Wang & Yuhan Wang & Shuai Zhang & Wenhao Lin & Zixin Dou & Haitao Du, 2023. "Study on the Influencing Factors of Digital Transformation of Construction Enterprises from the Perspective of Dual Effects—A Hybrid Approach Based on PLS-SEM and fsQCA," Sustainability, MDPI, vol. 15(7), pages 1-22, April.
    20. Huang, Qiongyu & Xu, Chuhong & Xue, Xiaolong & Zhu, Hui, 2023. "Can digital innovation improve firm performance: Evidence from digital patents of Chinese listed firms," International Review of Financial Analysis, Elsevier, vol. 89(C).

    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:17:y:2025:i:4:p:1753-:d:1594949. 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.