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Innovative coupling and coordination: Automobile and digital industries

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  • Zhou, Shengjia
  • Wang, Junhao
  • Xu, Bing

Abstract

The coupling and coordination of automobile and digital industries are crucial for developing these industries and to promote the high-quality development of the automobile industry. In this study, a coupling evaluation model and a backpropagation (BP) neural network model were used to construct the coupling evolution trend of the coordinated development of these industries. The results showed that China's automobile and digital industries are coupled. 2018 was the turning point from uncoordinated to coordinated. It is predicted that the coupling coordination development degree will increase from 0.572 in 2019 to 0.739 in 2022. The main contribution of growth came from research and development investment in the automobile industry and fixed asset investment in the digital industry, which is a factor of development potential. However, the characteristic contribution of the digital industry comprised development efficiency, development potential, development scale, and development structure in the decreasing order, whereas the characteristic contribution of the automobile industry comprised the aforementioned parameters in the increasing order. The research results allow the development of industrial policies for the coupling and coordination of these industries.

Suggested Citation

  • Zhou, Shengjia & Wang, Junhao & Xu, Bing, 2022. "Innovative coupling and coordination: Automobile and digital industries," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162522000294
    DOI: 10.1016/j.techfore.2022.121497
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    1. Medina-Molina, Cayetano & Pérez-Macías, Noemí & Fernández-Fernádez, José Luis, 2023. "The use of micromobility in different contexts. An explanation through the multilevel perspective and QCA," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Qingbo Tan & Zhuning Wang & Wei Fan & Xudong Li & Xiangguang Li & Fanqi Li & Zihao Zhao, 2022. "Development Path and Model Design of a New Energy Vehicle in China," Energies, MDPI, vol. 16(1), pages 1-15, December.
    3. Zhang, Huiming & Xu, Lu & Zhou, Peng & Zhu, Xiaodong & Cudjoe, Dan, 2024. "Coordination between economic growth and carbon emissions: Evidence from 178 cities in China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 164-180.
    4. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).

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