Collaborative Education Mechanism and Cross-Regional Implementation Path for Digital-Intelligent Rail Transit Talents in the Guangdong-Hong Kong-Macao Greater Bay Area

Abstract

Under the unique institutional background of “One Country, Two Systems”, with three separate legal jurisdictions in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), the collaborative cultivation of digital-intelligent rail transit operation talents is constrained by prominent cross-regional institutional barriers, insufficient motivation for enterprise participation, imperfect multi-stakeholder operation mechanisms, and the lack of unified regional talent training standards. Based on stakeholder theory, institutional design theory, and collaborative governance theory, this study constructs a systematic “government-university-enterprise-research” four-in-one collaborative education mechanism with “benefit sharing, risk sharing, responsibility co-bearing” as its core. The mechanism includes a multi-dimensional dynamic motivation mechanism, a standardized and normalized operation mechanism, a multi-level guarantee mechanism, and a whole-process monitoring and evaluation mechanism. Meanwhile, this study designs a complete set of operable cross-regional implementation paths, including curriculum interconnection and credit mutual recognition, teacher sharing and team co-construction, practical training platform co-construction and resource sharing, vocational qualification mutual recognition and standard connection, as well as cross-regional talent mobility and employment docking. Through empirical research based on 7 vocational colleges and 18 key rail transit enterprises in the GBA, this paper verifies the practical effects of the mechanism and paths. The results show that after the implementation of the mechanism, enterprise participation enthusiasm increases by 58.3%, the per capita training cost of enterprises decreases by 32.7%, the proportion of cross-regional cooperative colleges rises from 14.3% to 71.4%, and 12 professional skill certificates have achieved mutual recognition in the GBA. The employment rate of graduates increases from 86.2% to 97.8%, and enterprise satisfaction reaches 94.3%. This study breaks through institutional barriers, stimulates the endogenous vitality of collaborative education, optimizes the allocation of regional educational resources, and provides an operable, reproducible, and extendable model for the high-quality collaborative cultivation of digital-intelligent rail transit talents in the GBA.