Research on the Challenges and Breakthrough Pathways for Enhancing Human Resource Resilience in Liaoning Province in the Context of the Digital Economy
DOI: 10.23977/pree.2025.060118 | Downloads: 6 | Views: 720
Author(s)
Ting Chen 1, Yi Sun 1
Affiliation(s)
1 Department of Management, Liaoning University of International Business and Economics, Dalian, Liaoning, 116052, China
Corresponding Author
Yi SunABSTRACT
The rapid development of the digital economy is profoundly reshaping the global economic landscape and human resource systems. Regional human resource resilience, as a core capability for addressing uncertainty and supporting industrial transformation, is increasingly recognized as critical. As a traditional industrial base in Northeast China, Liaoning Province faces unique challenges in its digital economy transformation, including an overly reliant industrial structure and talent outflow, making the development of human resource resilience particularly urgent. This paper employs literature review, case analysis, and comparative research methods to systematically analyze the mechanisms through which the digital economy influences Liaoning Province's human resource resilience. It identifies current challenges in structural adaptability, mobility efficiency, ecological support, and governance coordination, and proposes targeted breakthrough strategies across four dimensions: skill development, mobility optimization, ecological construction, and governance innovation. The study aims to provide theoretical references and practical guidance for enhancing human resource resilience and promoting the deep integration of the digital economy with the real economy in Liaoning Province, while also offering insights for human resource transformation in similar regions of the Northeast Old Industrial Base.
KEYWORDS
Digital Economy; Human Resource Resilience; Regional GovernanceCITE THIS PAPER
Ting Chen, Yi Sun, Research on the Challenges and Breakthrough Pathways for Enhancing Human Resource Resilience in Liaoning Province in the Context of the Digital Economy. Population, Resources & Environmental Economics (2025) Vol. 6: 137-146. DOI: http://dx.doi.org/10.23977/pree.2025.060118.
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