Digital Intelligence Empowers Rural Aging Human Resource Development: DST Model Construction and Path Design

DOI

10.2991/978-94-6239-699-9_17How to use a DOI?

Keywords

Rural revitalization; Rural aging human resources; Digital intelligence; DST development model

Abstract

Activating rural aging human resources is crucial for addressing labor shortages in rural areas and supporting rural revitalization. Under the digital-intelligent transformation context, developing this demographic faces structural challenges such as organizational fragmentation and supply-demand mismatches. Based on digital empowerment and diffusion theory, this study examines the practical needs and obstacles in digital-intelligent development for rural elderly workers using Sichuan Province as a case study. It proposes a three-dimensional DST development model integrating Digital Platform (D), Targeted Training (S), and Skill Transfer (T). The model resolves organizational challenges through cross-sector collaborative platforms, implements differentiated training via demographic profiling, facilitates localized skill dissemination through rural social networks, and achieves dynamic optimization via feedback loops. The DST model provides a systematic theoretical framework for enhancing rural human capital quality in the digital economy era, while offering actionable pathways for activating aging workforce potential and empowering rural revitalization in central and western China.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xinru Han
AU  - Ge Wen
AU  - Junhong Xu
AU  - Youyu Zhang
AU  - Baisong Chen
PY  - 2026
DA  - 2026/06/02
TI  - Digital Intelligence Empowers Rural Aging Human Resource Development: DST Model Construction and Path Design
BT  - Proceedings of the 2026 4th International Conference on Digital Economy and Management Science (CDEMS 2026)
PB  - Atlantis Press
SP  - 145
EP  - 152
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-699-9_17
DO  - 10.2991/978-94-6239-699-9_17
ID  - Han2026
ER  -