A Five-Dimensional Identification Framework for Higher Vocational Entrepreneurship Education

Xiaomi Zhong () and Luyao Wang ()
Additional contact information
Xiaomi Zhong: Liaoning Economic Management Cadre College, School of Digital Intelligence Business
Luyao Wang: Liaoning Economic Management Cadre College, School of Digital Intelligence Business

A chapter in Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026), 2026, pp 278-294 from Springer

Abstract: Abstract The comprehensive rural revitalization strategy is accelerating the development of advanced entrepreneurial talent through higher vocational education. However, current efforts remain misaligned with the actual needs of rural industrial development. Drawing on domestic and international research on entrepreneurship education models, this paper analyzes existing provisions and rural talent requirements, introducing a Five-Dimensional Identification framework. This framework encompasses rural entrepreneurial mindset, opportunity, business environment, resource, and behavioral identification, with a tripartite indicator system and an evaluation protocol. Validated through curriculum redesign, platform development, and ecosystem building in Tieling, Liaoning Province, this study contributes a validated measurement framework and provides data-driven insights for designing personalized interventions in rural entrepreneurship education, while acknowledging the methodological limitations inherent in the single-group design. It benefits both to theoretical understanding and practical approaches for aligning vocational training with the imperatives of rural revitalization.

Keywords: Five-dimensional identification framework; Rural revitalization; Higher vocational education; Entrepreneurial talent cultivation (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-689-0_26

Ordering information: This item can be ordered from
http://www.springer.com/9789462396890

DOI: 10.2991/978-94-6239-689-0_26

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().