Conceptual and methodological foundations for forming human capital under conditions of transition to digital agriculture
- 作者: Shelkovnikov S.A.1, Kuznetsova I.G.1
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隶属关系:
- Novosibirsk State Agrarian University
- 期: 卷 30, 编号 1 (2022): TOWARDS SUSTAINABLE DEVELOPMENT. POST-COVID IMPERATIVES
- 页面: 110-123
- 栏目: ECONOMIC AND SOCIAL TRENDS: DIGITALIZATION
- URL: https://journals.rcsi.science/2313-2329/article/view/324202
- DOI: https://doi.org/10.22363/2313-2329-2022-30-1-110-123
- ID: 324202
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详细
The agro-industrial complex is a business sector on the successful activity of which depends not only on the food security of the state, but also the health of the population living on its territory. Currently, the agricultural industry is moving from a traditional method of production to digital. This confirms the use of digital devices, unmanned aerial vehicles, smart greenhouses, and robots. Among other things, the digitization process significantly changes the time for making management decisions. One of the important components of the transition to digitalization is the use of human capital. It is no secret that the process of digitalization in the production process requires considerable knowledge and skills, and therefore the task for agricultural education is to train specialists for digital agriculture. The article presents the demarcation of conceptual approaches to the formation of human capital in the context of traditional production and in a transitive economy. The aim of the study is to develop the basic principles, tasks, directions, tools and expected results of the formation and development of human capital in the transition to digital agriculture.
作者简介
Sergey Shelkovnikov
Novosibirsk State Agrarian University
Email: shelkovnikov1@rambler.ru
ORCID iD: 0000-0001-6860-8352
Doctor of Economics, Professor, Head of the Department of Finance and Statistics
160 Dobrolyubova St, Novosibirsk, 630039, Russian FederationInna Kuznetsova
Novosibirsk State Agrarian University
编辑信件的主要联系方式.
Email: finka31081988@list.ru
ORCID iD: 0000-0001-9077-1578
Candidate of Economic Sciences, Associate Professor of the Department of Economics
160 Dobrolyubova St, Novosibirsk, 630039, Russian Federation参考
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