A Case Study of Talent Cultivation Through Industry–Education Integration in an Agricultural University

Industry–education integration has become increasingly important for agricultural universities to reduce the gap between talent cultivation and rapidly evolving industrial needs. This study examines the collaborative mechanisms behind successful industry–education integration programs at Qingdao Agricultural University (QAU) in China. Using grounded theory, the research draws on in-depth interviews and document analysis of eight representative programs at QAU. Through open, axial, and selective coding, we developed a multi-layered and practice-oriented theoretical model, showing how QAU, industries, government agencies, and social organizations collaborate to support talent cultivation, knowledge production, and innovation. The study proposed a theoretical model that aligns with the Quadruple Helix Innovation Ecosystem and Mode 3 knowledge-production framework, illustrating how multi-stakeholder collaboration and adaptive knowledge co-production can drive sustained educational reform. The findings also highlight several practical drivers of success at QAU, including multi-stakeholder governance structures, competency-oriented curriculum reform, dual-track faculty development, project-based learning platforms, and a collaborative institutional culture. Overall, the study provides guidance for applied agricultural universities to enhance industry–education integration, strengthen practical talent training, and improve the responsiveness of agricultural higher education to evolving industrial and societal demands.

Authors

Institutions

Publication Details

Journal
Applied Economics Education and Extension
Published
2026-09-16
DOI
https://doi.org/10.71162/001c.167745
Primary Topic
University-Industry-Government Innovation Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

A Case Study of Talent Cultivation Through Industry–Education Integration in an Agricultural University

Wulantuoya Bao, Yangxuan Liu, Yuanyuan Liu
Applied Economics Education and Extension
University-Industry-Government Innovation Models
article

A Case Study of Talent Cultivation Through Industry–Education Integration in an Agricultural University

Wulantuoya Bao, Yangxuan Liu, Yuanyuan Liu
article en

Abstract

Industry–education integration has become increasingly important for agricultural universities to reduce the gap between talent cultivation and rapidly evolving industrial needs. This study examines the collaborative mechanisms behind successful industry–education integration programs at Qingdao Agricultural University (QAU) in China. Using grounded theory, the research draws on in-depth interviews and document analysis of eight representative programs at QAU. Through open, axial, and selective coding, we developed a multi-layered and practice-oriented theoretical model, showing how QAU, industries, government agencies, and social organizations collaborate to support talent cultivation, knowledge production, and innovation. The study proposed a theoretical model that aligns with the Quadruple Helix Innovation Ecosystem and Mode 3 knowledge-production framework, illustrating how multi-stakeholder collaboration and adaptive knowledge co-production can drive sustained educational reform. The findings also highlight several practical drivers of success at QAU, including multi-stakeholder governance structures, competency-oriented curriculum reform, dual-track faculty development, project-based learning platforms, and a collaborative institutional culture. Overall, the study provides guidance for applied agricultural universities to enhance industry–education integration, strengthen practical talent training, and improve the responsiveness of agricultural higher education to evolving industrial and societal demands.

Applied Economics Education and ExtensionVol. 8(4)
Qingdao Agricultural University (CN)
Openalex Percentile: Top 5%
University-Industry-Government Innovation Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.