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Economic Diversification Potential: Insights from Mongolia’s Livestock Product Value Chains

Dagys, Kadirbyek et al.

Studies in Agricultural Economics2025https://doi.org/10.7896/j.3036article
AJG 1ABDC C
Weight
0.50

What the paper says

Mongolia, endowed with abundant natural resources, faces a critical challenge in reducing its reliance on the mining sector and achieving economic diversification. This study aims to identify the potential for economic diversification by developing the non-mining processing industry. To this end, a Revealed Comparative Advantage (RCA) analysis and value chain mapping were employed. The RCA results highlight the importance of livestock-derived products and recognise the livestock sector as having the best potential for achieving economic diversification. Consequently, the value chain of livestock-derived products was mapped, and key challenges at each stage were identified. The study provides actionable recommendations for developing this value chain. The findings underscore that the value chain of livestock-derived products encounters numerous obstacles that must be addressed to build a competitive sector. Key strategies for addressing the issues throughout the value chain include improving animal health, ensuring compliance with good practices and standards, and enhancing competitiveness through advanced technologies, increased financial and investment support, and improved logistics and infrastructure.

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https://doi.org/https://doi.org/10.7896/j.3036

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@article{dagys2025,
  title        = {{Economic Diversification Potential: Insights from Mongolia’s Livestock Product Value Chains}},
  author       = {Dagys, Kadirbyek et al.},
  journal      = {Studies in Agricultural Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.7896/j.3036},
}

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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.