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Integrating circular economy approach into education: talent management, agricultural innovation, and bioeconomy transformation

Arniza Ghazali et al.

International Journal of Agricultural Resources, Governance and Ecology2025https://doi.org/10.1504/ijarge.2025.150486article
ABDC C
Weight
0.50

What the paper says

This paper examines the integration of the circular economy approach into education systems, focusing on the development of creative, critical thinking, and ethical practices among students. Circular economy, in the context of talent management and bioeconomy, offers a transformative model for addressing global challenges such as climate change and resource inefficiency. The study explores how a national educational framework, particularly in developing countries, can align talent development with circular bioeconomy needs. By analysing the intersection of education, agriculture, and circularity, the research provides insights into how curriculum redesign and strategic educational investments can foster innovation and resilience. This study has the potential to inform policy decisions and educational reforms that can contribute to sustainable national growth and the global circular economy.

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Cite this paper

https://doi.org/https://doi.org/10.1504/ijarge.2025.150486

Or copy a formatted citation

@article{arniza2025,
  title        = {{Integrating circular economy approach into education: talent management, agricultural innovation, and bioeconomy transformation}},
  author       = {Arniza Ghazali et al.},
  journal      = {International Journal of Agricultural Resources, Governance and Ecology},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijarge.2025.150486},
}

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Integrating circular economy approach into education: talent management, agricultural innovation, and bioeconomy transformation

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.