Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China

Research Article

Research on the efficiency of technological innovation in patent-intensive manufacturing industry ——A case study of Shanghai, China

Download167 downloads
  • @INPROCEEDINGS{10.4108/eai.24-2-2023.2330678,
        author={Yan  Xiong and Jiayuan  Xu},
        title={Research on the efficiency of technological innovation in patent-intensive manufacturing industry ------A case study of Shanghai, China},
        proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China},
        publisher={EAI},
        proceedings_a={EMIS},
        year={2023},
        month={6},
        keywords={patent intensive manufacturing; technological innovation efficiency; ahp;dea- malmquist index method; shanghai},
        doi={10.4108/eai.24-2-2023.2330678}
    }
    
  • Yan Xiong
    Jiayuan Xu
    Year: 2023
    Research on the efficiency of technological innovation in patent-intensive manufacturing industry ——A case study of Shanghai, China
    EMIS
    EAI
    DOI: 10.4108/eai.24-2-2023.2330678
Yan Xiong1, Jiayuan Xu1,*
  • 1: Shanghai Institute of Technology
*Contact email: xujiayuan_241025@163.com

Abstract

Patent-intensive industries are an important support to ensure the high-level development of China's innovation capacity, and their industrial transformation has a major impact on the improvement of China's independent innovation capacity. Taking Shanghai, China, as an example, this paper puts forward a research framework for the efficiency of technological innovation in patent-intensive manufacturing industry, and uses AHP and DEA-Malmquist index method to select three first-level indicators such as innovation resources and nine second-level indicators such as R&D investment to build an evaluation index system for the efficiency of technological innovation in patent-intensive manufacturing industry. The AHP model was used to determine the weights of the index system, and the DEA-Malmquist index method was used to calculate the panel data for six patent-intensive manufacturing industries in Shanghai from 2017 to 2021. The degree of technological innovation in Shanghai’s six patent-intensive manufacturing industries was analyzed over a five-year period. Finally, the countermeasures and proposals are proposed to improve the efficiency of technological innovation in the patent-intensive manufacturing industry in the region and increase the market competitiveness of the patent-intensive manufacturing industry.