IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i10p6048-d816871.html
   My bibliography  Save this article

Research on Cooperative Innovation Network Structure and Evolution Characteristics of Electric Vehicle Industry

Author

Listed:
  • Liping Wu

    (School of Economics, Guangxi University, Nanning 530004, China)

  • Man Xu

    (School of Economics, Guangxi University, Nanning 530004, China)

Abstract

The electric vehicle industry involves various technological cooperative innovations, meaning that electric vehicle companies must not only cooperate and innovate with similar enterprises in the same industry, but also collaborate with enterprises across the industry and research institutions (RIs). This paper empirically analyzed the structure and evolution characteristics of cooperative innovation networks, based on the patent application data in the field of electric vehicles from 2006 to 2021. It was found that the firm–firm intra-industry and inter-industry cooperative innovation networks, and firm–RI cooperative innovation networks have the characteristics of phased evolution in structure, and the network structure in the evolution process has similarities and differences. Furthermore, during the industrial formation period, inter-industry cooperative innovation focuses on the cooperation between the midstream and downstream industries of the industrial chain; but in the industrial growth period, inter-industry cooperative innovation has been widely extended to multiple industries in the upper, middle and lower reaches of the industrial chain. While the scale of intra-industry and industry–research institution cooperative innovation continues to expand with the development of the industry, the collaboration is concentrated in the five industries in the middle and downstream of the industrial chain. The research conclusion can provide a reference for different cooperative innovation partners of electric vehicles and other emerging industries to formulate differentiated policies.

Suggested Citation

  • Liping Wu & Man Xu, 2022. "Research on Cooperative Innovation Network Structure and Evolution Characteristics of Electric Vehicle Industry," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6048-:d:816871
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/10/6048/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/10/6048/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hee Dae Kim & Duk Hee Lee & Hochull Choe & Il Won Seo, 2014. "The evolution of cluster network structure and firm growth: a study of industrial software clusters," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 77-95, April.
    2. Duch-Brown, Néstor & Costa-Campi, María Teresa, 2015. "The diffusion of patented oil and gas technology with environmental uses: A forward patent citation analysis," Energy Policy, Elsevier, vol. 83(C), pages 267-276.
    3. Choe, Hochull & Lee, Duk Hee & Seo, Il Won & Kim, Hee Dae, 2013. "Patent citation network analysis for the domain of organic photovoltaic cells: Country, institution, and technology field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 492-505.
    4. Duch-Brown, Néstor & Costa-Campi, María Teresa, 2015. "The diffusion of patented oil and gas technology with environmental uses: A forward patent citation analysis," Energy Policy, Elsevier, vol. 83(C), pages 267-276.
    5. Pek‐Hooi Soh, 2010. "Network patterns and competitive advantage before the emergence of a dominant design," Strategic Management Journal, Wiley Blackwell, vol. 31(4), pages 438-461, April.
    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. Guiqiong Xu & Chen Dong & Lei Meng, 2022. "Research on the Collaborative Innovation Relationship of Artificial Intelligence Technology in Yangtze River Delta of China: A Complex Network Perspective," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    2. Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa & Javier Martínez-Falcó, 2022. "Driving Innovation by Managing Entrepreneurial Orientation, Cooperation and Learning for the Sustainability of Companies in the Energy Sector," Sustainability, MDPI, vol. 14(24), 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. Hochull Choe & Duk Hee Lee, 2017. "The structure and change of the research collaboration network in Korea (2000–2011): network analysis of joint patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 917-939, May.
    2. Choe, Hochull & Lee, Duk Hee & Kim, Hee Dae & Seo, Il Won, 2016. "Structural properties and inter-organizational knowledge flows of patent citation network: The case of organic solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 361-370.
    3. Jinzhu Zhang & Wenqian Yu, 2020. "Early detection of technology opportunity based on analogy design and phrase semantic representation," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 551-576, October.
    4. Mayer-Haug, Katrin & Read, Stuart & Brinckmann, Jan & Dew, Nicholas & Grichnik, Dietmar, 2013. "Entrepreneurial talent and venture performance: A meta-analytic investigation of SMEs," Research Policy, Elsevier, vol. 42(6), pages 1251-1273.
    5. Chen, Feiqiong & Liu, Huiqian & Ge, Yuhao, 2021. "How does integration affect industrial innovation through networks in technology-sourcing overseas M&A? A comparison between China and the US," Journal of Business Research, Elsevier, vol. 122(C), pages 281-292.
    6. José Luis Míguez & Jacobo Porteiro & Raquel Pérez-Orozco & Miguel Ángel Gómez, 2018. "Technology Evolution in Membrane-Based CCS," Energies, MDPI, vol. 11(11), pages 1-18, November.
    7. Brice Dattée & Oliver Alexy & Erkko Autio, 2018. "Maneuvering in Poor Visibility : How Firms Play the Ecosystem Game when Uncertainty is High," Post-Print hal-02276702, HAL.
    8. Bendig, David, 2022. "Chief operating officer characteristics and how they relate to exploration via patenting versus venturing," Journal of Business Research, Elsevier, vol. 140(C), pages 297-309.
    9. Li, Xiaotao & Yuan, Xiaodong, 2022. "Tracing the technology transfer of battery electric vehicles in China: A patent citation organization network analysis," Energy, Elsevier, vol. 239(PD).
    10. Li Li & Haifen Lin & Yibo Lyu, 2022. "Technology cluster coupling and invulnerability of industrial innovation networks: the role of centralized structure and technological turbulence," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1209-1231, March.
    11. Inkyung Cho & Jungkyu Park & Eunnyeong Heo, 2018. "Measuring Knowledge Diffusion in Water Resources Research and Development: The Case of Korea," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    12. Guijie Zhang & Yuqiang Feng & Guang Yu & Luning Liu & Yanqiqi Hao, 2017. "Analyzing the time delay between scientific research and technology patents based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1287-1306, June.
    13. Tommy Pan Fang & Andy Wu & David R. Clough, 2021. "Platform diffusion at temporary gatherings: Social coordination and ecosystem emergence," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 233-272, February.
    14. Xu, Guannan & Wu, Yuchen & Minshall, Tim & Zhou, Yuan, 2018. "Exploring innovation ecosystems across science, technology, and business: A case of 3D printing in China," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 208-221.
    15. Blind, Knut & Mangelsdorf, Axel, 2016. "Motives to standardize: Empirical evidence from Germany," Technovation, Elsevier, vol. 48, pages 13-24.
    16. Szu-Hsien Lin & Tzu-Pu Chang & Huei-Hwa Lai & Zi-Ying Lu, 2022. "Do Social Networks of Listed Companies Help Companies Recover from Financial Crises?," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
    17. Mingbo Sun & Xueqing Zhang & Xiaoxiao Zhang, 2022. "The Impact of a Multilevel Innovation Network and Government Support on Innovation Performance—An Empirical Study of the Chengdu–Chongqing City Cluster," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    18. Berg, S. & Wustmans, M. & Bröring, S., 2019. "Identifying first signals of emerging dominance in a technological innovation system: A novel approach based on patents," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 706-722.
    19. Wen, Jinyan & Li, Jian & Zhou, Qing & Zeng, Deming & Harms, Rainer, 2023. "How firms support formal standardization: The role of alliance portfolio and internal technological diversity," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    20. Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.

    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:10:p:6048-:d:816871. 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.