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Empirical Study on Influencing Factors of Regional Innovation Output System-Take Qingyuan, Guangdong as an Example

Received: 23 October 2019     Accepted: 28 January 2020     Published: 13 February 2020
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Abstract

The construction of regional innovation system is an important direction for modern cities and regional economic development and industrial transformation. Based on the existing research results, this paper selects relevant data of Qingyuan from 2001 to 2017, and uses patent authorization, output value of high-tech products and total export value as the evaluation system of regional innovation output to build a regional innovation system model including five influencing factors such as research and development investment, economic structure, infrastructure, opening level and innovation policy. With the help of SPSS software, the conclusions are drawn through principal component analysis that the selected factors have significant positive effects on the innovation output of Qingyuan, and the infrastructure, economic structure and the level of opening to the outside world have the greatest impact, with a smaller impact coefficient on R&D investment. This shows that Qingyuan's ability to attract high-quality funds and advanced technologies needs to be strengthened, infrastructure construction needs to be further improved, and scientific research efficiency should be improved. In view of the above conclusions, this paper finally puts forward corresponding policy recommendations. In the future, Qingyuan municipal government should speed up the infrastructure construction focusing on transportation and logistics, give appropriate research and development subsidies to local enterprises, improve the efficiency of local enterprises in introducing advanced science and technology from Guangzhou, and better grasp the integrated development mode of Guangzhou and Qingyuan.

Published in International Journal of Business and Economics Research (Volume 9, Issue 1)

This article belongs to the Special Issue Microfinance and Local Development

DOI 10.11648/j.ijber.20200901.15
Page(s) 40-49
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Regional Innovation System, Principal Component Analysis, Qingyuan Guangdong

References
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Cite This Article
  • APA Style

    Hui He, Yibo Qin, Huihui Deng, Qi Gao, Weitao Liu. (2020). Empirical Study on Influencing Factors of Regional Innovation Output System-Take Qingyuan, Guangdong as an Example. International Journal of Business and Economics Research, 9(1), 40-49. https://doi.org/10.11648/j.ijber.20200901.15

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    ACS Style

    Hui He; Yibo Qin; Huihui Deng; Qi Gao; Weitao Liu. Empirical Study on Influencing Factors of Regional Innovation Output System-Take Qingyuan, Guangdong as an Example. Int. J. Bus. Econ. Res. 2020, 9(1), 40-49. doi: 10.11648/j.ijber.20200901.15

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    AMA Style

    Hui He, Yibo Qin, Huihui Deng, Qi Gao, Weitao Liu. Empirical Study on Influencing Factors of Regional Innovation Output System-Take Qingyuan, Guangdong as an Example. Int J Bus Econ Res. 2020;9(1):40-49. doi: 10.11648/j.ijber.20200901.15

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  • @article{10.11648/j.ijber.20200901.15,
      author = {Hui He and Yibo Qin and Huihui Deng and Qi Gao and Weitao Liu},
      title = {Empirical Study on Influencing Factors of Regional Innovation Output System-Take Qingyuan, Guangdong as an Example},
      journal = {International Journal of Business and Economics Research},
      volume = {9},
      number = {1},
      pages = {40-49},
      doi = {10.11648/j.ijber.20200901.15},
      url = {https://doi.org/10.11648/j.ijber.20200901.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20200901.15},
      abstract = {The construction of regional innovation system is an important direction for modern cities and regional economic development and industrial transformation. Based on the existing research results, this paper selects relevant data of Qingyuan from 2001 to 2017, and uses patent authorization, output value of high-tech products and total export value as the evaluation system of regional innovation output to build a regional innovation system model including five influencing factors such as research and development investment, economic structure, infrastructure, opening level and innovation policy. With the help of SPSS software, the conclusions are drawn through principal component analysis that the selected factors have significant positive effects on the innovation output of Qingyuan, and the infrastructure, economic structure and the level of opening to the outside world have the greatest impact, with a smaller impact coefficient on R&D investment. This shows that Qingyuan's ability to attract high-quality funds and advanced technologies needs to be strengthened, infrastructure construction needs to be further improved, and scientific research efficiency should be improved. In view of the above conclusions, this paper finally puts forward corresponding policy recommendations. In the future, Qingyuan municipal government should speed up the infrastructure construction focusing on transportation and logistics, give appropriate research and development subsidies to local enterprises, improve the efficiency of local enterprises in introducing advanced science and technology from Guangzhou, and better grasp the integrated development mode of Guangzhou and Qingyuan.},
     year = {2020}
    }
    

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    T1  - Empirical Study on Influencing Factors of Regional Innovation Output System-Take Qingyuan, Guangdong as an Example
    AU  - Hui He
    AU  - Yibo Qin
    AU  - Huihui Deng
    AU  - Qi Gao
    AU  - Weitao Liu
    Y1  - 2020/02/13
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ijber.20200901.15
    DO  - 10.11648/j.ijber.20200901.15
    T2  - International Journal of Business and Economics Research
    JF  - International Journal of Business and Economics Research
    JO  - International Journal of Business and Economics Research
    SP  - 40
    EP  - 49
    PB  - Science Publishing Group
    SN  - 2328-756X
    UR  - https://doi.org/10.11648/j.ijber.20200901.15
    AB  - The construction of regional innovation system is an important direction for modern cities and regional economic development and industrial transformation. Based on the existing research results, this paper selects relevant data of Qingyuan from 2001 to 2017, and uses patent authorization, output value of high-tech products and total export value as the evaluation system of regional innovation output to build a regional innovation system model including five influencing factors such as research and development investment, economic structure, infrastructure, opening level and innovation policy. With the help of SPSS software, the conclusions are drawn through principal component analysis that the selected factors have significant positive effects on the innovation output of Qingyuan, and the infrastructure, economic structure and the level of opening to the outside world have the greatest impact, with a smaller impact coefficient on R&D investment. This shows that Qingyuan's ability to attract high-quality funds and advanced technologies needs to be strengthened, infrastructure construction needs to be further improved, and scientific research efficiency should be improved. In view of the above conclusions, this paper finally puts forward corresponding policy recommendations. In the future, Qingyuan municipal government should speed up the infrastructure construction focusing on transportation and logistics, give appropriate research and development subsidies to local enterprises, improve the efficiency of local enterprises in introducing advanced science and technology from Guangzhou, and better grasp the integrated development mode of Guangzhou and Qingyuan.
    VL  - 9
    IS  - 1
    ER  - 

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Author Information
  • Research Department, Qingyuan Polytechnic, Qingyuan, China

  • Guangzhou Urban Strategy Institute, Guangzhou Academy of Social Sciences, Guangzhou, China

  • Research Department, Qingyuan Polytechnic, Qingyuan, China

  • Research Department, Guangdong University of Foreign Studies, Guangzhou, China

  • Guangzhou Urban Strategy Institute, Guangzhou Academy of Social Sciences, Guangzhou, China

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