Research on the configurational paths for establishing high-level municipal industry-education consortiums in China: from the perspective of symbiosis theory

S Sunping Qu G Guijin Zhou Y Yongmei Chen

Abstract

The municipal industry-education consortium(MIEC) is a crucial component of the development of education in China, and the provincial-level administrative regions (PARs) are committed to building high-level MIECs. However, there are significant differences in the efficiency of building MIECs in different regions across China. A province is a macro-level industry-education integration ecosystem, whereas a MIEC is a micro-level ecosystem. Symbiotic units such as industrial parks, universities, and enterprises within the provincial industry-education integration ecosystem(PIEIE) cooperate and exchange resources with each other in institutional, innovative, and digital environments to achieve the symbiotic model of industry-education integration, ultimately forming high-level MIECs. Based on the theory of symbiosis and employed the fuzzy set qualitative comparative analysis (fsQCA), this study analyzed the complex causal mechanisms through which symbiotic elements of PIEIEs influenced the construction of high-level MIECs, using data from the 31 PARs in China, excluding Hong Kong, Macao and Taiwan. This paper found that the development of high-level MIECs was not determined by any single symbiotic element; instead, it resulted from the coordinated development and combined effects of three key symbiotic factors: symbiotic units, symbiotic environment, and symbiotic models. There were six configurational pathways to building high-level MIECs, grouped into three types: the “Economy-Driven” model, the “Digital-Enabled Industry-Education Integration” model, and the “Assistance-Driven” model. The findings provide a theoretical foundation and practical guidance for PARs in developing high-level MIECs.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 21, Issue 2
Published February 27, 2026
Pages e0336145
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (3)

S

Sunping Qu

G

Guijin Zhou

Y

Yongmei Chen