Using the training system for high-quality, highly qualified labor as a driver for the development of Heilongjiang
How to cite
Abstract
This study is devoted to the analysis of the system of training highly skilled labor as a key factor in the socio-economic development of Heilongjiang province. Against the background of structural transformations of the region's economy and the transition to high-tech industries, the formation of appropriate human resources is becoming strategically important. The study reveals the specifics of the regional educational ecosystem of Heilongjiang, identifies institutional mechanisms and barriers in the training of in-demand specialists. Based on a multifactorial analysis of 2019-2024 data. The key determinants of the effectiveness of vocational education in the context of regional innovation clusters are identified. A significant statistical relationship has been established between the parameters of the educational infrastructure and the dynamics of sectoral labor productivity. A multilevel model of integration of educational institutions and enterprises is proposed, adapted to the socio-economic conditions of Heilongjiang, including mechanisms for targeted training, updating educational programs and the formation of innovative competencies. The results obtained contribute to understanding the role of human capital in regional development and have practical value for improving the educational policy of border regions, taking into account the processes of digital transformation and international integration.
Keywords
References
Bekker P.A. A note on the identification of restricted factor loading matrices. // Psychometrika. 1986. № 51. pp. 607-611.
Dai L., Martins P.S. Does vocational education pay off in China? Instrumental-variable quantile-regression evidence // Journal of development economics. 2020. № 145. рр. 102476.
Edwards B.M., Cameron D., King G., McPherson A.C. Contextual strategies to support social inclusion for children with and without disabilities in recreation // Disability and rehabilitation. 2021. № 43(11). рр. 1615-1625.
Fan G., Zou J. Refreshing China's labor education in the New Era: policy review on education through physical labor // ECNU review of education. 2020. № 3(1). pp. 174-183.
Fleisher B.M., Hu Y., Li H., Kim S. Economic transition, higher education and worker productivity in China // Journal of development economics. 2006. № 94. рр. 86-94.
Hannum E., Buchmann C. Global educational expansion and socio-economic development: an assessment of findings from the social sciences // World development. 2005. № 33. рр. 333-354.
Ling Y., Chung S.J., Wang L. Research on the reform of management system of higher vocational education in China based on personality standard // Current psychology. 221. № 42. рр. 1225-1237.
Quyen D.T.N. Developing university governance indicators and their weighting system using a modified Delphi method // Procedia – Social and Behavioral Sciences. 2014. № 141. рр. 828-833.
Wang G. Upskilling the workforce? A critical analysis of national skills policies in China's Reform Era // British journal of sociology of education. № 44(6). pp. 978-995.
Wang Q., Li X., Chen Z., Wang H., Li J., Li J. Connotation and structure of labor competency in light of key competency // Journal of Beijing Normal University. 2021. № 2. рр. 37-42.
Wold S., Esbensen K., Geladi P. Principal component analysis // Chemometrics and intelligent laboratory systems. 1987. № 2. рр. 37-52.
Yang Q., Gao J. Research on the construction and cultivation path of evaluation index system of labor literacy of vocational college students in the New Era // Journal of vocational education. 2022. № 38. рр. 81-86.
Zhang L., Huang J., Rozelle S. Employment, emerging labor markets, and the role of education in rural China // China economic review. 2002. № 13. рр. 313-328.
Zhang P., Wang X., Chun L. Study on labor literacy of medical students in 5 colleges and universities in Heilongjiang province and its influencing factors // Chinese journal of medical education. 2022. № 42. рр. 778-785.
Zhu X., Liu J. Education in and after COVID-19: Immediate responses and long-term visions // Postdigital science and education. 2020. № 2(3). рр. 695-699.
Downloads
Published
Issue
Section
Metrics
License
Copyright (c) 2025 Education Management Review

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.