Dr.Hab., Professor E.V. Kuzmicheva
Russian State University of Physical Education, Sports, Youth and Tourism (SCOLIPE), Moscow

Keywords: chess sport, adaptive chess sport, mid- and top-level chess players’ training system.

Background. The Federal Physical Education and Sports Development State Program for the period up to 2020 requires 40% of the national population being engaged in the habitual Physical Education and Sports practices by 2020 (versus the current rate of 31.9%) and 48% of the public demand for sport facilities being met (versus the current rate of 29.7%) [1, 4, 7]. Plus there are provisions to increase the sport infrastructure service rate that is now estimated at 50.7% (often explained by the poor management standards) [5, 7]. However, the efforts to increase the financing, build up the sport infrastructure and encourage the sector service popularity may not always be successful as demonstrated by the human resource inflow statistics [2-5]. We have analyzed the available study reports on the subject, the relevant legal and regulatory provisions and statistical reports to find what we believe is the contradiction between the policies to increase the sporting population and the still unclear understanding on how the available Physical Education and Sports sector resource should be mobilized to pursue these policies.

Objective of the study was to find correlation if any of the resource supply to the Physical Education and Sports sector and sporting population of Russia, and identify the key factors that hamper the human resource inflow.

Study findings and discussionю As demonstrated by the statistical reporting data of the governments of 8 Federal Areal and 85 regional governments of the Russian Federation including numbers of trainees, financial assignments, training service per capita and sport infrastructure peak service rates, the present consolidated progress rates appear still too slow to attain the goals set forth in the Federal Program for every region. Actual statistical data classified by the key resource supply components are as follow.

The statistical data analysis shows the Krasnodar Territory and Tyva keeping the lead in terms of the sporting population rate reported at 46.7% followed by the Belgorod Oblast with its 42.1%. The least sporting is reportedly the Ingush Republic population with its 15.9%. The average sporting population rate for the Federal Districts varies from 31.7% in the Far Eastern Federal Area to 35.7% in the Southern Federal Area: see Table 1.

*Target rate of 62% was taken for this parameter

The Physical Education and Sports sector annual financing rates vary across the Federal Districts from 1683 RUR per capita in the Siberian Federal District to 5247.9 RUR per capita in the Far Eastern Federal District. The least and the best financed are the Kabardino-Balkaria and Sakhalin Oblast with their reported 455 and 13420 RUR per capita, respectively.

The sport infrastructure peak service capacity varies across the Federal Districts from 34.3% in the North Caucasus Federal District to 54.3% in the Volga Federal District. The lowest rate of 14.9% is reported by the Ingush Republic and the highest rate of 97.9% by the Kaluga Oblast.

The training service rate (people served by a Physical Education and Sports specialist) averages 397 for the Russian Federation on the whole, with the lowest and highest rates of 204 versus 775 reported by the Yamalo-Nenets Autonomous District and Tyumen Oblast, respectively: see Table 1.

Statistically significant correlation of the finance per capita with the training service rate (people served by a Physical Education and Sports specialist in a region) was found only in the North-Western Federal District: see Table 2.

Statistically significant positive correlation of the sport infrastructure service rate with the HR service rate was found in the Volga and Siberian Federal Districts: see Table 2.

And the statistically significant correlation of the HR service rate was found in no one of the Federal Districts: see Table 2.

Table 2. PES data correlation rates

           Regression analysis of the correlation of the sport infrastructure peak service rate with the sporting population rate applied to forecast the HR inflow versus the service infrastructure development rate – failed to find any statistically significant correlations. This finding may be interpreted as indicative of the fact that a management entity alone may not necessarily be successful in the efforts to increase the sporting population; since certain sector management decisions and policies need to be put in place for success.

The sporting population undoubtedly depends on a variety of socio-cultural, demographic, environmental, climatic and other local factors. Even such factor as the annual financing per capita may drastically vary on some occasions – when, for instance, a region hosts a top-ranking event like the 2018 FIFA World Cup. However, the readily available (within a walking distance) sport facilities are apparently much more efficient for the sporting population building efforts as verified by the practical experiences reported by many regions; albeit the lack of correlation with the Physical Education and Sports personnel empowerment projects (to recruit extra sport instructors, coaches, managers etc.) cannot be easily explained at this juncture.

Conclusion. Based on the study data and analyses, we would recommend the following priority action plan:

• Step up the resource supply for the Physical Education and Sports sector, mostly in the regions lagging behind in the PES statistics;
• Increase the sport infrastructure peak service rates, with a special priority given to the regular Physical Education and Sports services to communities rather than sport entertainment and competitions; and
• Assess the available Physical Education and Sports specialist human resource in the sector and find ways to improve the specialist service efficiency.

References

1. Gosudarstvennaya programma RF ‘Razvitie fizicheskoy kultury i sporta’ [State Program of the Russian Federation ‘Development of Physical Culture and Sports’]. Collected official documents and materials. Ministry of Sport of the Russian Federation, no. 5-6, 2013, pp. 3-109.
2. Vlasov E.G., Bragintsev D.A., Voytov A.A., Zhukov S.A. Puti povysheniya effektivnosti deyatelnosti gosudarstvennogo sportivnogo kompleksa [Ways of Increase of Effectiveness of Work of Public Sports Complex]. Teoriya i praktika fiz. kultury, 2013, no. 2, pp. 48-52.
3. Zozulya S.N., Kuzmicheva E.V. Problemy resursnogo obespecheniya razvitiya fizicheskoy kultury i sporta [Problems of resource support for development of physical culture and sports]. Teoriya i praktika fiz. kultury, 2015, no. 8, pp. 46-49.
4. Kuzmicheva E.V. Povyshenie effektivnosti deyatelnosti sportivnykh sooruzheniy [Ways to improve sport asset management efficiency]. Teoriya i praktika fiz. kultury, 2017, no. 6, pp. 37-39.
5. Kuz'micheva E.V. Sotsialnaya effektivnost raboty sportivnykh sooruzheniy [Social service efficiency of sport facilities]. Teoriya i praktika fiz. kultury, 2016, no. 4, pp. 27-29.
6. Okunkov Yu.V. Ob otnoshenii razlichnykh grupp naseleniya Rossiyskoy Federatsii k Vserossiyskomu fizkulturno-sportivnomu kompleksu ‘Gotov k trudu i oborone’ (GTO) (po rezultatam sotsiologicheskih issledovaniy) [About the attitude of various groups of population of Russia to Russian physical culture and sports complex ‘Ready for Labour and Defence’ (GTO) (based on sociological research results)]. Moscow: Sovetskiy sport publ., 2015, 156 p.
7. Svedeniya o fizicheskoy kulture i sporte po sostoyaniyu na 31 dekabrya 2016 goda. Forma 1 FK [Information on physical education and sports as of December 31, 2016]. Form 1 FC. Moscow: Ministry of Sport publ., 2017, 13 p.

Corresponding author: e.v.kuzmicheva@yandex.ru

Abstract

The study analyzes the resource supply situation in the national physical education and sports sector versus the sector service popularity (sporting population). The Federal Physical Education and Sports Development State Program for the period up to 2020 provides for the following: engage 40% of the national population in the habitual Physical Education and Sports practices by 2020 (versus the current 31.9%); meet 48% of the public demand for sport facilities (versus the current rate of 29.7%); and increase the sport infrastructure service rate that is now estimated at 50.7%. However, the efforts to increase the financing, build up the sport infrastructure and encourage the sector service popularity may not always be successful as demonstrated by the human resource inflow statistics. Objective of the study was to find correlation if any of the resource supply to the Physical Education and Sports sector and the sporting population (numbers of trainees), and identify the key factors that hamper the human resource inflow. As demonstrated by the statistical reporting data of 8 federal district and 85 regional governments of the Russian Federation including sporting population, financial assignments, training service per capita and sport infrastructure peak service rates, the present consolidated progress rates seem still too slow to attain the goals set forth by the Federal Program for every region. It should be noted that the resource supply data (on a per-capita basis) widely vary across the regions, with the 10-times differences in some cases. Only one Federal District was found reporting the statistically significant positive correlation of the sector costs per capita with the sporting population growth rates; whilst the sport infrastructure peak service rate was found correlated with the human resource numbers in percentage terms only in 2 out of 8 Federal Districts. It was found, therefore, that the traditional policies to increase the sporting population tend to be increasingly inefficient with time and, hence, further research is needed for the sector progress.