IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v270y2023ics0360544223002177.html
   My bibliography  Save this article

Does intelligent transformation trigger technology innovation in China's NEV enterprises?

Author

Listed:
  • Han, Jie
  • Jiang, Cailou
  • Liu, Rong

Abstract

With a sample of the listed New Energy Vehicle (NEV) enterprises in China (2008–2020), this paper investigates the impact of intelligent transformation on innovation in NEV enterprises. The results indicate that intelligent transformation has a positive and significant impact on the technology innovation in China's NEV enterprises, and the impacts are more significant in Non-State of Enterprises (non-SOEs) and those without fixed suppliers. Mediating mechanism reveals that intelligent transformation may trigger technology innovation in NEV enterprises through establishing new production function and incorporating consumer as external resources. The paper reveals an important question of how intelligent transformation trigger technology innovation in NEV enterprises, thus providing valuable suggestions on practice of intelligent transformation of NEV enterprises.

Suggested Citation

  • Han, Jie & Jiang, Cailou & Liu, Rong, 2023. "Does intelligent transformation trigger technology innovation in China's NEV enterprises?," Energy, Elsevier, vol. 270(C).
    • Handle: RePEc:eee:energy:v:270:y:2023:i:c:s0360544223002177
    DOI: 10.1016/j.energy.2023.126823
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223002177
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.126823?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. Artem Timoshenko & John R. Hauser, 2019. "Identifying Customer Needs from User-Generated Content," Marketing Science, INFORMS, vol. 38(1), pages 1-20, January.
    3. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    4. Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
    5. Jang, Sungsoon & Choi, Jae Young, 2021. "Which consumer attributes will act crucial roles for the fast market adoption of electric vehicles?: Estimation on the asymmetrical & heterogeneous consumer preferences on the EVs," Energy Policy, Elsevier, vol. 156(C).
    6. Pan, Xia & Cheng, Wenyin & Gao, Yuning, 2022. "The impact of privatization of state-owned enterprises on innovation in China: A tale of privatization degree," Technovation, Elsevier, vol. 118(C).
    7. Yu, Feifei & Wang, Liting & Li, Xiaotong, 2020. "The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation," Energy Policy, Elsevier, vol. 141(C).
    8. Cailou Jiang & Ying Zhang & Qun Zhao & Chong Wu, 2020. "The Impact of Purchase Subsidy on Enterprises’ R&D Efforts: Evidence from China’s New Energy Vehicle Industry," Sustainability, MDPI, vol. 12(3), pages 1-10, February.
    9. Hu, Zheng & Yuan, Jiahai, 2018. "China’s NEV market development and its capability of enabling premium NEV: Referencing from the NEV market performance of BMW and Mercedes in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 545-555.
    10. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    11. Li, Jizi & Ku, Yaoyao & Yu, Yue & Liu, Chunling & Zhou, Yuping, 2020. "Optimizing production of new energy vehicles with across-chain cooperation under China’s dual credit policy," Energy, Elsevier, vol. 194(C).
    12. Mazzeo, Domenico & Herdem, Münür Sacit & Matera, Nicoletta & Bonini, Matteo & Wen, John Z. & Nathwani, Jatin & Oliveti, Giuseppe, 2021. "Artificial intelligence application for the performance prediction of a clean energy community," Energy, Elsevier, vol. 232(C).
    13. Khayyam, Hamid & Abawajy, Jemal & Javadi, Bahman & Goscinski, Andrzej & Stojcevski, Alex & Bab-Hadiashar, Alireza, 2013. "Intelligent battery energy management and control for vehicle-to-grid via cloud computing network," Applied Energy, Elsevier, vol. 111(C), pages 971-981.
    14. Greene, William H, 1981. "On the Asymptotic Bias of the Ordinary Least Squares Estimator of the Tobit Model," Econometrica, Econometric Society, vol. 49(2), pages 505-513, March.
    15. Yan Yin & Fengcai Liu & Zhen Zhang, 2021. "Carbon Emission Reduction and Coordination Strategies for New Energy Vehicle Closed-Loop Supply Chain under the Carbon Trading Policy," Complexity, Hindawi, vol. 2021, pages 1-17, July.
    16. Berchicci, Luca, 2013. "Towards an open R&D system: Internal R&D investment, external knowledge acquisition and innovative performance," Research Policy, Elsevier, vol. 42(1), pages 117-127.
    17. Wang, Lei & Fu, Zhong-Lin & Guo, Wei & Liang, Ruo-Yu & Shao, Hong-Yu, 2020. "What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons," Energy Policy, Elsevier, vol. 142(C).
    18. Yang, Zhenbing & Shao, Shuai & Yang, Lili, 2021. "Unintended consequences of carbon regulation on the performance of SOEs in China: The role of technical efficiency," Energy Economics, Elsevier, vol. 94(C).
    19. Wu, Yunna & Jia, Weibing & Li, Lingwenying & Song, Zixin & Xu, Chuanbo & Liu, Fangtong, 2019. "Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation," Energy, Elsevier, vol. 182(C), pages 397-411.
    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. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. Liu, Qin & Wen, Xiaonan & Cao, Qinwei, 2023. "Multi-objective development path evolution of new energy vehicle policy driven by big data: From the perspective of economic-ecological-social," Applied Energy, Elsevier, vol. 341(C).
    3. Liu, Bingchun & Song, Chengyuan & Wang, Qingshan & Zhang, Xinming & Chen, Jiali, 2022. "Research on regional differences of China's new energy vehicles promotion policies: A perspective of sales volume forecasting," Energy, Elsevier, vol. 248(C).
    4. Yushi Wang & Licheng Sun & Shilong Li, 2022. "Production Decisions of Automakers Considering the Impact of Anticipated Regret under the Dual-Credit Policy," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    5. Zhu, Xiaoxi & Chiong, Raymond & Wang, Miaomiao & Liu, Kai & Ren, Minglun, 2021. "Is carbon regulation better than cash subsidy? The case of new energy vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 170-192.
    6. Di Wang & Yuman Li, 2022. "Measuring the Policy Effectiveness of China’s New-Energy Vehicle Industry and Its Differential Impact on Supply and Demand Markets," Sustainability, MDPI, vol. 14(13), pages 1-16, July.
    7. Danlei Feng & Mingzhao Hu & Lingdi Zhao & Sha Liu, 2022. "The Impact of Firm Heterogeneity and External Factor Change on Innovation: Evidence from the Vehicle Industry Sector," Sustainability, MDPI, vol. 14(11), pages 1-15, May.
    8. Chen, Yang & Shao, Shuai & Fan, Meiting & Tian, Zhihua & Yang, Lili, 2022. "One man's loss is another's gain: Does clean energy development reduce CO2 emissions in China? Evidence based on the spatial Durbin model," Energy Economics, Elsevier, vol. 107(C).
    9. Shi, Yangyan & Feng, Yu & Zhang, Qi & Shuai, Jing & Niu, Jiangxin, 2023. "Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries," Energy, Elsevier, vol. 262(PA).
    10. Mustafa Hamurcu & Tamer Eren, 2023. "Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study," Environment Systems and Decisions, Springer, vol. 43(2), pages 211-231, June.
    11. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
    12. Duong, Phuong-Anh Nguyen & Voordeckers, Wim & Huybrechts, Jolien & Lambrechts, Frank, 2022. "On external knowledge sources and innovation performance: Family versus non-family firms," Technovation, Elsevier, vol. 114(C).
    13. Hong Chen & Haowen Zhu & Tianchen Sun & Xiangyu Chen & Tao Wang & Wenhong Li, 2023. "Does Environmental Regulation Promote Corporate Green Innovation? Empirical Evidence from Chinese Carbon Capture Companies," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    14. Song, Yanqiu & Shangguan, Lingzhi & Li, Guijun, 2021. "Simulation analysis of flexible concession period contracts in electric vehicle charging infrastructure public-private-partnership (EVCI-PPP) projects based on time-of-use (TOU) charging price strateg," Energy, Elsevier, vol. 228(C).
    15. Decheng Fan & Kairan Liu, 2021. "The Relationship between Artificial Intelligence and China’s Sustainable Economic Growth: Focused on the Mediating Effects of Industrial Structural Change," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    16. Liu, Jun & Liu, Liang & Qian, Yu & Song, Shunfeng, 2022. "The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    17. Yuchao Li & Lijie Zhang & Jiamin Liu & Xinpei Qiao, 2023. "Can the Dual-Credit Policy Help China’s New Energy Vehicle Industry Achieve Corner Overtaking?," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    18. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    19. Duan, Yunlong & Liu, Shuling & Cheng, Hao & Chin, Tachia & Luo, Xuan, 2021. "The moderating effect of absorptive capacity on transnational knowledge spillover and the innovation quality of high-tech industries in host countries: Evidence from the Chinese manufacturing industry," International Journal of Production Economics, Elsevier, vol. 233(C).
    20. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.

    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:eee:energy:v:270:y:2023:i:c:s0360544223002177. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.