Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

Research on the Driving Factors of Regional Innovation Quality Based on Multiple Linear Regression Model

Download42 downloads
  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342665,
        author={Lin  Wang and Xiaoyan  Ai},
        title={Research on the Driving Factors of Regional Innovation Quality Based on Multiple Linear Regression Model},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={regional development innovation quality driving factors},
        doi={10.4108/eai.17-11-2023.2342665}
    }
    
  • Lin Wang
    Xiaoyan Ai
    Year: 2024
    Research on the Driving Factors of Regional Innovation Quality Based on Multiple Linear Regression Model
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342665
Lin Wang1,*, Xiaoyan Ai1
  • 1: Wuhan Business University
*Contact email: 20190115@wbu.edu.cn

Abstract

The efficiency of urban green development is deeply rooted in the innovation capabilities of urban clusters. Adhering to innovation-driven strategies to lead green development enhances the innovation quality of urban clusters. This study employs grey comprehensive evaluation to select indicators that represent innovation quality and establishes a principal component regression model for researching the driving factors of innovation quality in the Yangtze River Delta urban cluster. Empirical research is conducted using data related to the overall green innovation quality driving factors for 41 cities in the Yangtze River Delta from 2010 to 2020. The study indicates that the regional gross domestic product (GDP) is the most representative indicator of innovation quality.