Abstract
The purpose of the work is to substantiate the need and develop recommendations for the most complete disclosure of the potential for the development of circular practices in agriculture based on higher education and digital technologies in the interests of sustainable agricultural development. The method of regression analysis is used in order to determine the consequences and prove the advantages of circular agriculture for the environment based on the study of international experience using a representative sample, which includes countries with developed agricultural economies—leaders in the World Bank ranking in terms of the share of agriculture farms in the structure of gross value added in 2020. Additionally, the authors study the international experience of using the capabilities of the digital economy and the development of higher education for implementing a circular model of agriculture. A critical necessity for smart technologies, digital personnel, and skilled employees in agriculture to implement its circular model is proved. It is substantiated that circular practices contribute to the development of agriculture but the potential for the development of these practices based on higher education and digital technologies is far from being fully realized, which hinders the sustainable development of agriculture. Recommendations for the national economic policy for the regulation of the process of transition to circular agriculture or its development based on stimulation of the dissemination of smart technologies and development of higher education in the interests of environmental protection in the aspect of production waste reduction and fighting climate change are developed.
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Karpushova, S.E., Bazieva, A.M., Fomenko, N.M., Akopova, E.S. (2022). Benefits of Circular Agriculture for the Environment: International Experience of Using Digitalization and Higher Education Development. In: Popkova, E.G., Sergi, B.S. (eds) Sustainable Agriculture. Environmental Footprints and Eco-design of Products and Processes. Springer, Singapore. https://doi.org/10.1007/978-981-16-8731-0_14
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