<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, the Herfindahl coefficient (HHI), intuitionistic fuzzy hierarchical analysis (IFAHP) and binary semantic evaluation methods are used to quantitatively measure the degree of industry-academia integration in Guangdong, Hong Kong and Macao and to explore the level hierarchy of the degree of industry-academia integration. The factors influencing the behavior of industry-academia cooperation between enterprises and higher vocational colleges were analyzed by selecting the employment of H, A and X institutions in the past five years. The results show that the level of industry-academia integration in the Greater Bay Area is 0.6833, and the obstacles in communication channels between enterprises and higher education institutions are the biggest influencing factors. The industrial structure deviation is 28.9, which indicates that there is a discrepancy between the university specialty settings and market demand in the region. The optimization countermeasures proposed in this paper have a positive significance in promoting the connection between local higher education and industry.</p>
</abstract>

In this paper, the Herfindahl coefficient (HHI), intuitionistic fuzzy hierarchical analysis (IFAHP) and binary semantic evaluation methods are used to quantitatively measure the degree of industry-academia integration in Guangdong, Hong Kong and Macao and to explore the level hierarchy of the degree of industry-academia integration. The factors influencing the behavior of industry-academia cooperation between enterprises and higher vocational colleges were analyzed by selecting the employment of H, A and X institutions in the past five years. The results show that the level of industry-academia integration in the Greater Bay Area is 0.6833, and the obstacles in communication channels between enterprises and higher education institutions are the biggest influencing factors. The industrial structure deviation is 28.9, which indicates that there is a discrepancy between the university specialty settings and market demand in the region. The optimization countermeasures proposed in this paper have a positive significance in promoting the connection between local higher education and industry.

Measurement of the Integration of Education and Industry in Guangdong, Hong Kong and Macao Greater Bay Area under the Background of Big Data and Analysis of Influencing Factors

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this paper, the Herfindahl coefficient (HHI), intuitionistic fuzzy hierarchical analysis (IFAHP) and binary semantic evaluation methods are used to...

Measurement of the Integration of Education and Industry in Guangdong, Hong Kong and Macao Greater Bay Area under the Background of Big Data and Analysis of Influencing Factors

Pubblicato online: 20 dic 2023

Pagine: -

Ricevuto: 22 feb 2023

Accettato: 30 giu 2023

DOI: https://doi.org/10.2478/amns.2023.2.01553

Parole chiave
Herfindahl coefficient, IFAHP, Binary semantic evaluation, Structural deviation, Guangdong-Hong Kong-Macao Greater Bay Area

© 2023 Xiaoyan Huang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Measurement of the Integration of Education and Industry in Guangdong, Hong Kong and Macao Greater Bay Area under the Background of Big Data and Analysis of Influencing Factors

Pubblicato online: 20 dic 2023

Pagine: -

Ricevuto: 22 feb 2023

Accettato: 30 giu 2023

DOI: https://doi.org/10.2478/amns.2023.2.01553

Parole chiaveHerfindahl coefficient, IFAHP, Binary semantic evaluation, Structural deviation, Guangdong-Hong Kong-Macao Greater Bay Area

© 2023 Xiaoyan Huang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Herfindahl coefficient, IFAHP, Binary semantic evaluation, Structural deviation, Guangdong-Hong Kong-Macao Greater Bay Area