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Economic policy in the agro-industrial complex and agriculture of Russia in the age of intellectual machines: challenges and perspectives

Ahmed G. Buchaev et al.

International Journal of Economic Policy and Emerging Economies2025https://doi.org/10.1504/ijepee.2025.146155article
ABDC C
Weight
0.50

What the paper says

This paper aims at determining challenges, substantiating perspectives, and developing recommendations for improving the economic policy in Russia's agro-industrial complex and agriculture in the age of intellectual machines. The research results show that challenges for the economic policy in Russia's agro-industrial complex and agriculture in the age of intellectual machines are connected to mismatch between the priority of the components of the digital economy and the proportions of their development in 2019. The perspectives of improving the economic policy in Russia's agro-industrial complex and agriculture in the age of intellectual machines are connected to overcoming the determined disproportion and stimulating the development of the digital economy's components according to their priority. Originality of this research consists in empirical study of the perspectives of development of agro-industrial complex and agriculture based on intellectual machines and development of the practice-oriented recommendations for economic policy in the sphere of food security.

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https://doi.org/https://doi.org/10.1504/ijepee.2025.146155

Or copy a formatted citation

@article{ahmed2025,
  title        = {{Economic policy in the agro-industrial complex and agriculture of Russia in the age of intellectual machines: challenges and perspectives}},
  author       = {Ahmed G. Buchaev et al.},
  journal      = {International Journal of Economic Policy and Emerging Economies},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijepee.2025.146155},
}

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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.