Dynamic coupling: an empirical study on the coordination degree between vocational education supply and industrial demand in emerging sectors
Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v7i11.4676
Abstract
This study empirically examines the coupling coordination between vocational education supply and industrial demand in Guangdong's emerging sectors (AI, NEVs, Biomedicine, NGIT) from 2015 to 2022, using a comprehensive index system and a coupling coordination degree model. Findings indicate that overall coordination has improved from slight maladjustment to primary coordination, with significant variation across sectors—AI and IT show higher alignment than biomedicine. Granger causality tests confirm industrial demand drives educational supply, albeit with a lag. Regression analysis highlights that deeper industry-institution collaboration, frequent curriculum updates, and a higher share of dual-qualified teachers significantly enhance coordination. The study offers evidence-based insights for optimizing vocational education and supporting industrial upgrading.
Keywords
vocational education; emerging industries; supply-demand coordination; coupling coordination degree; Guangdong province; empirical study
Funding
Shenzhen Polytechnic University Characteristic Innovation Project (Project No. 6022310012S）
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