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Applying data mining techniques for technology prediction in new energy vehicle: a case study in China

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Abstract

Technology prediction is an important technique to help new energy vehicle (NEV) firms keep market advantage and sustainable development. Under fierce competition in the new energy industry, there is an urgent necessity for innovative technology prediction method to effectively identify core and frontier technologies for NEV firms. Among the various methods of technology prediction, one of the most frequently used methods is to make technology prediction from patent data. This paper synthesizes the frequent pattern growth (FP-growth) algorithm and input-output analysis to construct a new technology prediction method based on the knowledge flow perspective, takes the data of NEV patent family in 1989–2018 the Derwent patent database as a sample, divides the data according to the 5-year standard, and uses the method to identify the core and frontier technologies in the NEV field during different periods. Furthermore, the multiple co-occurrence method applies to analyze the technology layout and evolution patterns in China’s NEV field. The results show that the technology prediction method proposed in this paper can effectively identify core and frontier technologies to achieve NEV technology prediction.

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Data Availability

The datasets generated and analyzed during the current study are property of Meizeng Gui (Zhejiang, China). They are available from the corresponding author who will inform Meizeng Gui that the data will be released on reasonable request.

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Authors and Affiliations

  1. School of Management, Shanghai University, Shanghai, 200444, China

    Xueguo Xu

  2. Accounting College, Zhejiang University of Finance and Economics, 18 Xueyuan Street, Xiasha Higher Education District, Zhejiang, 310018, Hangzhou, China

    Meizeng Gui

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  1. Xueguo Xu
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The manuscript was approved by all authors for publication. X.X. and M.G. conceived and designed the study. M.G. performed the experiments and wrote the paper. M.G. reviewed and edited the manuscript.

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Correspondence to Meizeng Gui.

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Xu, X., Gui, M. Applying data mining techniques for technology prediction in new energy vehicle: a case study in China. Environ Sci Pollut Res 28, 68300–68317 (2021). https://doi.org/10.1007/s11356-021-15298-z

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