Analysis and forecasting of the availability of sufficient personnel complexities of the digital economy mechanisms in the agrarian sector of the Stavropol territory

International Scientific Conference «AGRITECH-2019: Agribusiness, Environmental Engineering and Biotechnologies»

农业科学;生态环境科学;生物科学

Kron, R.V.^1 ; Gulay, T.A.^1 ; Dolgopolova, A.F.^1 ; Zakharov, V.V.^1

Stavropol State Agrarian University, Stavropol

355012, Russia^1

关键词: Agricultural productions;    Digital economy;    Digital production;    Digital technologies;    Education systems;    Educational standards;    Structure-based;    Time of transitions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/315/3/032010/pdf
DOI  :  10.1088/1755-1315/315/3/032010

来源: IOP

【 摘 要 】

The need to transfer agricultural production to the digital economy is obvious. One of the main factors constraining the mechanisms for introducing digital technologies into agricultural production is the insufficient availability of specialists with the necessary qualifications in the IT sphere in the area of processes and production. The main, in our opinion, criteria that allow us to predict the demand for labour resources with the necessary qualifications have been considered; typical problems of training in the framework of the current education system, associated with insufficient from the point of view of the digital economy, elaboration and specification of Educational Standards and qualification requirements for graduates who were educated by the time of transition to digital production mechanisms have been identified. The possible difficulties of the state of the labour market associated with the reduction of jobs as a result of the intensification and automation of a number of industries using the digital economy and buffer measures of pension legislation have been noted. Options for mitigating the effects of the problems presented by creating a specialized educational structure based on short-term, highly specialized courses, allowing in a short time, depending on the existing skill level of the worker, to bring his knowledge, skills, abilities and competencies in line with the level required for successful work in the framework of digital economy mechanisms have been offered.