Modeling the economy’s need for professionally trained personnel

Gurtov, V. A.; Pitukhin, Eugene; Serova, Larisa

doi:10.1134/s1075700707060068

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…Its essence lies in the fact that when forecasting for the near future, the microeconomic method is used, which is implemented by the personnel departments of the surveyed enterprises in order to clarify the professional and qualification structure of workers and personnel needs. When forecasting for the long term, a macroeconomic method is used to forecast the needs of the economy for personnel [1]. The methodology is based on the normative principle implemented by the Center for Budgetary Monitoring of Petrozavodsk State University (CBM PetrSU).…”

Section: Resultsmentioning

confidence: 99%

Information Analytical Management System for the Qualified Personnel Training To Supply the Needs of the Russian Labor Market

Pitukhin¹

2019

Proceedings of the International Scientific-Practical Conference “Business Cooperation as a Resource of Sustainable Economic De

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The article is devoted to the development of new toolkit aimed at improving the balance of the labor market, increasing the efficiency of the vocational education system, as well as increasing the employment of graduates in their specialty. It is proposed to create a unified end-to-end expertanalytical system connecting from one end the employer with his needs for qualified personnel, and from the otherthe student-entrant and his parents. Implementation of the system is expected in the form of Internet portals and mobile applications (services) that interact with the system of modeling and forecasting the needs of the labor market in qualified personnel. The development and implementation of a fundamentally new innovative type of IT-services on the Russian market based on the creation of a set of mobile applications (services) to provide relevant information on the labor market and the education system to high school students and potential entrants should be widely in demand in the future. The system not only collects data and forecasts the staffing needs of the economy in occupations in demand, but also gives users the opportunity to plan their career path-from diagnosing their professional inclinations to choosing an educational organization where they can get an education and jobs at leading enterprises. As a result, the developed service contributes to an increase in the level of employment of graduates in the received specialty. The proposed service will help decide on admission to a university or college not on an intuitive level, but on a rational one, guided by logic and accurate scientifically-based forecasts. In this way, a digital approach to improving the balance of the labor market by increasing the efficiency of managing the formation and use of labor resources will be implemented. Prototypes of the service in the form of career guidance portals "My Career" have been successfully implemented in four regions of the Russian Federation.

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Section: Resultsmentioning

confidence: 99%

Information Analytical Management System for the Qualified Personnel Training To Supply the Needs of the Russian Labor Market

Pitukhin¹

2019

Proceedings of the International Scientific-Practical Conference “Business Cooperation as a Resource of Sustainable Economic De

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“…To calculate the student population necessary to meet the economy's need for skilled labor the most adequate tool is a macroeconomic model [24,25].…”

Section: Brief Description Of the Algorithmmentioning

confidence: 99%

Predicting the budgetary funding need of education in the three-year budget for 2008–2010

Сигова¹,

Gurtov²

2008

Stud. Russ. Econ. Dev.

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The paper presents a technique developed by the authors, which makes it possible to determine the necessary amount of financing for education at all the budget system levels for 2008-2010, based on the Russian average value of financing, taking into account the budget expenditures index for two variants of student population, i.e. the actual number of on-budget students and the number of students required to meet the economy's need for trained workers. The technique was developed and the calculations were made on the basis of Russian long-term forecasts and the Russian three-year federal budget for 2008-2010.

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“…These circumstances led to the need to calculate the forecast number of employees taking into account the new conditions, as well as to determine the coefficients of the annual inflow and outflow of the number of employees and the associated indicator of the annual additional demand of the economy for personnel [16].…”

Section: Introductionmentioning

confidence: 99%

Modelling the employed in the Russian economy given the impact of pension reform and the coronavirus pandemic

2021

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The article is devoted to forecasting changes in the number of people employed in the economy of the Russian Federation, which should occur as a result of the effects of the pension reform in 2018 and also the coronavirus pandemic in 2020. The demographic forecast of the population of the Russian Federation until 2030 is used as the dominant forecasting factor. The influencing factors on the process dynamics are the employment levels. The forecast of employment levels is based on the factors of the pension reform in 2018 and the coronavirus pandemic in 2020. The following trends are also being demonstrated: an increase in employment due to ”former” pensioners remaining in work, and a decline in employment due to an increase in the number of unemployed because of coronavirus pandemic. For the duration of the pension reform, the economy’s annual need for human resources will decrease. This will cause difficulties in finding a job for the majority of applicants – graduates of the vocational education system. The situation will be further aggravated by rising unemployment due to the reduction of jobs in the economy caused by the coronavirus pandemic.

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Modeling the economy’s need for professionally trained personnel

Cited by 6 publications

References 1 publication

Information Analytical Management System for the Qualified Personnel Training To Supply the Needs of the Russian Labor Market

Information Analytical Management System for the Qualified Personnel Training To Supply the Needs of the Russian Labor Market

Predicting the budgetary funding need of education in the three-year budget for 2008–2010

Modelling the employed in the Russian economy given the impact of pension reform and the coronavirus pandemic

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