Tax evasion: the discourse among government, business and science community based on bibliometric analysis

Ekaterina N. Nevzorova, Samo Bobek, Anna P. Kireenko, Roman A. Sklyarov


This article analyzes the publications relating to the problem of tax evasion. This topic is attractive not only for the academic community, but also for public at whole. The article explores to what extent the scientific publications on tax evasion correspond to practical issues discussed among the stakeholders. We used the electronic database of e-Library as a source of scientific publications on the subject. The principal stakeholders directly dependent on the taxation are the taxpayers and public authorities. We used the electronic database of publications «Kommersant» publishing house and the «Rossiyskaya Gazeta» to reflect issues discussed among the stakeholders. We selected for analyze 301 publications for the period of 2013-2015. The study was conducted by comparing the publication activity by types and period of publications. In the first stage of the study we have done the qualitative content analysis by identification the common themes discussed in hole sample of publications. Then, a quantitative analysis was conducted by comparing the distribution of publications on a particular topic from each source. We used bibliometric analysis method for the quantitative and bibliographic mapping method to visualize the results of research. Calculations were performed using the software QDA Miner v.5.0 module WordStat v.7.1.7. As a result, studies have concluded that the most popular topics of interest for which no changes are: changes in legislation, legislation and increased enforcement. Using the results of the conducted study, we can identify the main similarities and differences between the monitored sources. We can see the special attention to the: Legislation changes, Law enforcement, Entrepreneurship. Marked reduction of interest can be noted regarding to the following topics: International aspects of taxation, Shadow economy, Ownership, property, investment. The growth of interest can be noted in relation to the following topics: Directorship, Article of the Tax Code, Short-lived companies, Arrears and fines. The study revealed a certain disparity between the topics discussed among academic community and stakeholders. The topics discussed in the majority of scientific texts (shadow economy, corruption, the firm one-day, social security contributions), a much rarer can be found in the publication of «Kommersant» and «Rossiyskaya Gazeta» which focuses mainly on matters of legislation. Analysis of the relationships in the texts according to the source and year of publication showed that research topics converge with issues considered by the public authorities. The business community more involved in discussion the legal issues, because the government notion works upon the impression about tax evasion of the business community and academia. Thus, bibliometric text analysis techniques can be used for research, preparation of literature reviews and thematic information retrieval.


tax evasion; bibliometrics; bibliometric analysis; bibliometric mapping; content analysis; scientific publications; electronic publications database

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Cole F. J., Eales N. B. The history of comparative anatomy. Part 1. A statistical analysis of the literature. ScienceProgress, 1917, vol. 11, no. 10, pp. 1229–1234.

Voverene O. Bibliometrics: a structural part of computer science methodologies. Nauchno-Tekhnicheskaya Informatsiya. Seriya 1, Organizatsiya i metodika informatsionnoi raboty [Scientific and Technical Information. Series 1, Organization and methods of informational work]. Moscow, Russian Institute for Scientific and Technical Information (VINITI RAS) Publ., 1985, no. 7, pp. 1–5. (In Russ.).

Al’tshuller S. V. Valden P. I. Researching links language. Priroda = Nature, 1969, no. 8, p. 119. (In Russ.).

Val’den P. I. The development of chemistry in Russia. Dnevnik Vtorogo mendeleevskogo s”ezda po obshchei i prikladnoi khimii i fizike. Saint Petersburg, 21–28 dekabrya 1911 g. [The Diary of Second Mendeleev Congress on General and Applied Chemistry and Physics. Saint Petersburg, December 21–28, 1911].Saint Petersburg, 2011, no. 1, pp. 124–141. (In Russian).

Shtorkh A., Adelung F. Sistematicheskoe obozrenie literatury v Rossii (1801–1806 gg.) [A systematic review of Russian literature (1801–1806)]. Saint Petersburg, 1810. Pr. 1. 352 p.

Pen’kova O. V., Tyutyunnik V. M. Bibliometriya — istoriya razvitiya i stanovleniya [Bibliometrics — the history of development and formation]. Available at: (In Russ.).

Nalimov V. V., Mul’chenko Z. M. Naukometriya: izuchenie razvitiya nauki kak informatsionnogo protsessa [Scientometrics: the study of science development as an informational process]. Moscow, Nauka Publ., 1969. 192 p.

Blackert L., Siegel S. Ist in ger wissenschaftlichen information Platz für die Informetrie? Wissenschaftliche Zeitschrift der Technischen Hochschule, 1979, bd. 25, hf. 6, ss. 187–199.

Garfield E. The intended consequences of Robert K. Merton. Scientometrics, 2004, vol. 60, no. 1, pp. 51–61.

Pritchard A. Statistical bibliography or bibliometrics? Journal of Documentation, 1969, vol. 24, pp. 348–349.

Mirskii E. M. Scientometrics. In Stepin V. S. (ed.). Novaya filosofskaya entsiklopediya [New Encyclopedia of Philosophy]. 2nd ed. Moscow, Mysl’ Publ., 2010.

Lychagin M. V., Lychagin A. M., Shevtsov А. S., Bekareva S. V.; Suslov V. I. (ed.). Analiz struktury nauchnykh publikatsii po ekonomike [Analysis of Structure of Scientific Publications on Economics]. Novosibirsk, Institute of Economics and Industrial Engineering of the Siberian Branch of the Russian Academy of Sciences Publ., 2004. 192 p.

Lychagin M. V., Lychagin A. M., Shevtsov А. S.; Suslov V. I. (ed.). Atlas publikatsii po ekonomike na osnove EconLit. 1992–2005 [Atlas of Publications in Economics on the EconLit basis. 1995–2005]. Novosibirsk, Siberian Branch of the Russian Academy of Sciences Publ., 2007. 400 p.

Lychagin M. V., Skott-Kvinn B., Suslov V. I. et al. Finansovye innovatsii: zarubezhnyi opyt [Financial innovations: foreign experience]. Novosibirsk, Nauka, Siberian Branch of the Russian Academy of Sciences Publ., 1997. 160 p.

Lychagin M. V., Suslov V. I., Lychagin A. M. New in regional studies published in English. Region: Ekonomika I Sotsiologiya = Region: Economics and Sociology, 2008, no. 3, pp. 241–254. (In Russ.).

Lychagin M. V., Lychagin A. M. Agricultural economics: new in english scientific literature. Sibirskii vestnik sel’skokhozyaistvennoi nauki = Siberian Herald of Agricultural Science, 2009, no. 1, pp. 96–103. (In Russ.).

Lychagin M. V., Lychagin A. M. Directions of researches in the field «government policy and regulation» in english language academic literature. Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriya Sotsial’no-ekonomicheskie nauki = Vestnik Novosibirsk State University. Series: Social and Economics Sciences, 2009, vol. 9, iss. 2, pp. 104–117. (In Russ.).

Popov I. Yu. Information support of innovation research projects of the university. Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriya Sotsial’no-ekonomicheskie nauki = Vestnik Novosibirsk State University. Series: Social and Economics Sciences, 2015, vol. 15, no. 2, pp. 87–97. (In Russ.).

HawkinsD. T. Bibliometrics of electronic journals in information science. Information Research, 2001, vol. 7, no. 1. Available at:

Glänzel W. Bibliometrics as a Research Field: A Course on Theory and Application of Bibliometric Indicators. Course Handouts, 2003. 120 p. Available at:

De Bellis N. Bibliometrics and Citation Analysis: from the Science Citation Index to Cybermetrics. Lanham, Scarecrow Press, 2009.450 p.

Garfield E. The history and meaning of the journal impact factor. Journal of the American Medical Association, 2006, vol. 295, no. 1, pp. 90–93.

Eck N. J. van. Methodological Advances in Bibliometric Mapping of Science. Doct. Diss. Erasmus University Rotterdam, 2011. № EPS-2011-247-LIS.

Börner K., Boyack K. W., Milojević S., Morris S. An introduction to modeling science: Basic model types, key definitions, and a general framework for the comparison of process models. In Scharnhorst A., Börner K., & van den Besselaar P. (eds). Models of Science Dynamics, Encounters Between Complexity Theory and Information Sciences. Berlin, Springer, 2012, pp. 3–22.

Börner K., Klavans R., Patek M., Zoss A. M., Biberstine J. R., Light R. P., Larivière V., Boyack K. W. Design and update of a classification system: The UCSD map of science. PloS one, 2012, vol. 7, no. 7, pp. 1–10. DOI: 10.1371/journal.pone.0039464.

Eck N. J. van, Waltman L. VOS: a new method for visualizing similarities between objects. Advances in Data Analysis. Springer Berlin Heidelberg, 2007, pp. 299–306.

Eck N. J. van, Waltman L., Dekker R., Berg J. van den. A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology, 2010, vol. 61, no. 12, pp. 2405–2416.

Waaijer C. J. F., Bochove C. A. van, Eck N. J van. On the map: Nature and Science editorials. Scientometrics, 2010, vol. 86, no. 1, pp. 99–112.

Eck N. J. van, Waltman L. VOSviewer manual. UniveristeitLeiden. 2013.

Oleinik A. N. Triangulation in content analysis: a case of in-depth interviews with members of the Russian elite. Vestnik obshchestvennogo mneniya. Dannye. Analiz. Diskussii = The Russian Public Opinion Herald Data. Analysis. Discussions, 2008, vol. 95, no. 3, pp. 62–75. (In Russ.).


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