Competitiveness Advancement Innovation Path of GBA Heterogeneous Service Trade Firms with Entrepreneurial and Innovative Spirit

  • Yucong YouEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1147)


Based on the bay area economic theory, this paper takes the mechanism of regional agglomeration and metropolitan circle effect as the framework; utilizes humanity-oriented entrepreneurial and innovative spirit as an example to examine the construction and regional agglomeration of GHM-Greater Bay Area (GHM-GBA) being the influence of the development factor upon the regional economic development of heterogeneous service trade export firms. By means of the humanity-oriented entrepreneurial and innovative spirit effect, we construct a specialized level empirical model of the fuzzy association location Corpus-Metaphor-WordNet schema with Markov & Bayesian thought; data mining-radar monitoring software is applied for analysis. The empirical test suggests the main research results of the heterogeneous service trade export enterprises using humanity-oriented entrepreneurial and innovative spirit to improve competitiveness by virtue of three main implementation paths: GHM-GBA drive, regional agglomeration drive and industry clusters drive, based on which a conclusion is drawn with relevant suggestions.


GHM-GBA Entrepreneurial & innovative spirit Innovation drive 



This research was supported by Northeast Asia Standard Cooperation Project (Guidance for Humane entrepreneurship) (project number: NEASF/WG27); National Business Education Research “13th Five-Year Plan” 2019 Project (Supply Side Reform) Research on the driving mode and path of deep cooperation innovation between business schools and schools under the field, (project number SKJYKT-1912); National Experts Program for Business Service Industry; Planning Project of Foshan City in 2019 (In the background of GHM-GBA, how can Foshan achieve rapid development, project number 2019-GJ090).


  1. 1.
    You, Y., Yi, L.: An technological innovation research on statistical work in Big Data era. Int. J. Inf. Manag. Sci. (2016)Google Scholar
  2. 2.
    Cheng, B.: MAT274 HM 2 Solutions. Mathematical and Statistical Sciences (2011)Google Scholar
  3. 3.
    Ayinde, S.O., Ogunrinde, R.B.: Mathematical integration for solving biological growth in fish lake problem using Gompertz approach. Biomed. Stat. Inform. 3(3), 43–48 (2018)CrossRefGoogle Scholar
  4. 4.
    Gong, J.: Encyclopedia of Methodology in Data-Mining and Innovation Drive. Zhonghua Press, Hongkong (2018)Google Scholar
  5. 5.
    You, Y.: Innovation Drive and Data-Mining. Encyclopedia Press (2016)Google Scholar
  6. 6.
    Yang, C., Shieh, M.: A support vector regression based prediction model of affective responses for product form design. Comput. Ind. Eng. 59(4), 682–689 (2010)CrossRefGoogle Scholar
  7. 7.
    You, Y.: A study on business model innovation of foreign trade service enterprises. Bus. Econ. Manag. 7, 67–71 (2018)Google Scholar
  8. 8.
    Strand, Ø., Leydesdorff, L.: Where is synergy indicated in the Norwegian innovation system? Technol. Forecast. Soc. Change 80, 471–484 (2013)CrossRefGoogle Scholar
  9. 9.
    Zhang, M.: A study of efficiency measurement of collaborative innovation of IUR in China’s high-tech industry. Int. J. Front. Eng. Technol. 1(1), 1–19 (2019)MathSciNetGoogle Scholar
  10. 10.
    Gong, C.: Research on the coupling of industrial structure and environment between China and the “Belt and Road” countries - take the 10 ASEAN countries as an example. Int. J. Front. Soc. 1(1), 89–98 (2019)MathSciNetGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Guangzhou College of Business and TechnologyGuangzhouChina

Personalised recommendations