Preview

Economics of Science

Advanced search

Methodology of regional analysis of the Russian economic reseaerch market

https://doi.org/10.22394/2410-132X-2019-5-1-67-78

Abstract

After the dissolution of the Soviet Union and the transition to a market economy model in Russia, there has been observed a rapid growth for market economic studies challenge in ranking of its three segments, such as the economists market, scientific economic journals market, research training of economists market. The purpose of the study is to aggregate quantitative indicators of economic market segments for economic studies in the Russian regions. The initial data calculations are done on quantitative indicators from the TOP-500 gold ranking of economist E. V. Balatsky for 2016, the list of “vakovsky” economic journals from 07.06.2017 and the ranking of 2016 economic dissertation councils across the Russian regions. The aggregation of the above indicators is done according to the arithmetic average formula for their normalized values. A cross-correlation matrix has been constructed for the above indicators and an integral indicator with all linear paired regression equations in which the values of the coefficient of determination R2 varied in the range from 0,93 to 0.99. A practically analytical multiple regression equation (R2 = 1.0) has been obtained between the values of the above three indicators of the market for economic studies and an integral indicator on the other hand. In the article, it is also shown that the effect of the number of economic councils on the integral indicator is three times greater than the effect of the number of economists and the number of economic councils each separately. The best convergence to the Pareto distribution has been shown by the distribution of the values of the integral indicator of the state of the regional economic research market. On the basis of an integral indicator, the clusterization of regional markets for economic studies in Russia has been done using the method of natural borders.

About the Authors

V. M. Moskovkin
Belgorod State National Research University
Russian Federation


X. Sun
Moscow State Pedagogical University
Russian Federation


References

1. Balatsky E. V., Ekimova N. A. (2015) Rating of participants in the Russian market for economic research // Journal Institutional Study. V. 7. № 3. Р. 102–121.

2. Balatsky E. V., Ekimova N. A. (2017) The competition of economic journals in Russia: the results of three waves of rating // Economic policy. V. 12. № 6. P. 178–201.

3. Balatsky E. V., Ekimova N. A. (2018) Opportunities for consolidating rating products in the Internet environment // Economic and social changes: facts, trends, forecast. V. 11. № 2. P. 37–51.

4. Moskovkin V. M., Sun X. (2017) Development of methods for determining the ratings of scientists on the basis of the Russian Science Citation Index // Scientific and Technical Information. Ser. 1. Organization and methods of information work. № 8. P. 23–28.

5. Moskovkin V. M., Sun X. (2017) Rating of economists: the current state of the issue and prospects for further research // Scientific periodicals: problems and solutions. V. 7. № 1. P. 20–45.

6. Aukutsionek S., Churkina G. (2002) Economic journals in the period of market reforms // Questions of economy. № 2. P. 130–145.

7. Dezhina I. G., Dashkeeva V. V. (2008) Does Russia have leading economists and who are they? Moscow: IET. 21 p.

8. Balatsky E. V. (2016) Gold rating of academic activity and popularity of economists of Russia / Nonergodic economy, 02.25.2016. http://nonerg-econ. ru/cat/9/57.

9. Balatsky E. V. (2018) Rating of academic activity and popularity of economists of Russia / Non-ergodic economy. http://nonerg-econ.ru/cat/18/7.

10. Aleskerov F. T., Pislyakov V. V., Subochev A. N. (2013) Building rankings of journals in economics using the methods of the theory of collective choice. Preprint WP7. № 3.

11. Aleskerov F. T., Pislyakov V. V., Subochev A. N., Chistyakov A. G. (2011) Building ratings of management journals using collective selection methods. Preprint WP7. № 4.

12. Muravyov A. A. (2013) On the scientific importance of Russian journals in economics and related disciplines // Questions of Economics. № 4. P. 130–151.

13. Balatsky E. V., Ekimova N. A. (2015) Experience in compiling the rating of Russian economic journals // Questions of Economics. № 8. P. 99–115.

14. Rubinstein A. Y. (2016) Ranking of Russian economic journals: the scientific method or the “game of the game”? // Journal of a new economic association. № 2 (30). P. 162–175.

15. Subochev A. N. (2016) How different are the existing ratings of Russian scientific journals in economics and management and how to combine them // Journal of New Economic Association. № 2 (30). P. 181–192.

16. Sterligov I. A. (2014) Pilot project for the evaluation of Russian scientific journals. Moscow: HSE.

17. Balatsky E. V., Ekimova N. A. (2018) Rating of the leading economic journals of Russia / Non-ergodic economy. http://nonerg-econ.ru/cat/18/8.

18. Rubinstein A. Y., Burakov N. A., Slavinskaya O. A. (2017) Community of Economists and Economic Journals (Sociological Measurements of VS Bibliometrics): Scientific Report. Moscow: Institute of Economics, RAS. 83 p.

19. Tretyakova O. V. (2015) Rating of scientific journals of economic institutions of the Russian Academy of Sciences // Economic and social changes; facts, trends, forecast. V. 8. № 5. Р. 159–172.

20. Muravyov A. A. (2018) Ratings of Russian economic journals: a comparative analysis / StudyLib. http://studydoc.ru/download/4796527.

21. Consensus rating of the leading economic journals of Russia (2018) / Non-ergodic economy, 12.09.2017. http://nonerg-econ.ru/cat/18/281.

22. Balatsky E. V. (2018) Academic rating of higher economic schools of Russia / Non-ergodic economy. http://nonerg-econ.ru/cat/18/9.


Review

For citations:


Moskovkin V.M., Sun X. Methodology of regional analysis of the Russian economic reseaerch market. Economics of Science. 2019;5(1):67-78. (In Russ.) https://doi.org/10.22394/2410-132X-2019-5-1-67-78

Views: 626


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2410-132X (Print)
ISSN 2949-4680 (Online)