Use of statistical tools when monitoring threats to national security

Economic Annals-ХХI: Volume 155, Issue 11-12, Pages: 36-39

Citation information:
Afanasyeva, L., & Tkacheva, T. (2015). Use of statistical tools when monitoring threats to national security. Economic Annals-XXI, 155(11-12), 36-39. https://ea21journal.world/index.php/ea-v155-08/


Liubov Afanasyeva
PhD (Economics),
Associate Professor,
Southwest State University
50 Let Oktyabrya Str., 94, Kursk, 380040, Russian Federation
lv_af@mail.ru

Tatyana Tkacheva
PhD (Economics),
Southwest State University
50 Let Oktyabrya Str., 94, Kursk, 380040, Russian Federation
tat-tkacheva@yandex.ru

Use of statistical tools when monitoring threats to national security

Abstract. The article is devoted to assessment of the impact of corruption on economic growth in the context of globalization. The goal of the research is to substantiate the use of statistical methods when assessing the impact of corruption on economic growth. In conditions of Russia’s transition to an innovative path of economic development an urgent task is to increase economic growth. Corruption has a negative impact on economic growth, reducing the efficiency of public investments; as well as on investment attractiveness, scaring off foreign investors. Because of corruption, revenues from taxation reduce; the budget does not receive the necessary funds to finance government expenditures. Ultimately, these negative effects lead to the diminution of economic security. The problem of corruption is high on the list of threats to national security of any state. It is pointed out that the use of matrix method allows assessing the positions of the countries in terms of two factors: the Corruption Perceptions Index and the value of GDP per capita. A statistical estimation of the impact of corruption on economic growth using regression model is presented. The conclusion concerning the necessity of methodology developing for quantification of threats to national security is made.

Keywords: Corruption; Corruption Perceptions Index; National Security; Threats to National Security; Economic Growth

JEL Classification: F01; H56; O57

Acknowledgement. The article is executed within the state task of Southwest State University; Project Code: 2090.

References

  1. Akcay, S. (2006). Corruption and human development. Cato Journal, 26(1), 29-46.
  2. Klitgaard, R. (2011). Fighting corruption. CESifo DICE Report.
    Retrieved from http://www.cgu.edu/PDFFiles/Presidents%20Office/RK%20Fighting%20Cor­ruption.pdf
  3. Kenny, C., Klein, M., & Sztajerowska, M. (2011). A trio of perspectives on corruption: Bias, speed money and «grand theft infrastructure». Policy Research Working Paper.
    Retrieved from http://www.frankfurt-school.de/clicnetclm/fileDownload.do?goid=000000398418AB4
  4. Mironov, M. (2005). Bad Corruption, Good Corruption and Growth.
    Retrieved from http://www.mironov.fm/research/corruption.pdf
  5. Johnston, M. (2005). Syndromes of Corruption: Wealth, Power, and Democracy. Cambridge and New York: Cambridge University Press.
    Retrieved from http://www.untag-smd.ac.id/files/Perpustakaan_Digital_1/CORRUPTION%20
    Syndromes%20of%20Corruption.pdf
  6. Vicente, P. C. (2007). Does oil corrupt? Evidence from a natural experiemnt in West Africa.
    Retrieved from http://www.economics.ox.ac.uk/Research/wp/ pdf/paper317.pdf
  7. Papaconstantinou, P., Tsagkanos, A. G., & Siriopoulos, C. (2013). How Bureaucracy and Corruption affect economic growth and convergence in the European Union? The case of Greece.
    Retrieved from http://www.idec.gr/iier/new/CORRUPTION%20CONFERENCE/
    How%20Bureaucracy%20and%20Cor­ruption%20affect%20economic%20growth%20
    and%20convergence%20in%20the%20EU-PAPACONSTANTINOU.pdf
  8. Ehsan, A., Rosser, B. J., & Rosser, M. V. (2004). Income inequality, corruption, and the non-observed economy: a global perspective.
    Retrieved from http://cob.jmu.edu/rosserjb/NOE.Inequality.Global.doc
  9. Tkacheva, T. J., Sevrukova, L. V., & Afanasyeva, L. V. (2013). Development of budgetary relations for maintenance of fair redistribution of financial resources. Proceedings of the Southwest state university, 6, 50-56 (in Russ.).
  10. Tkacheva, T. Yu., & Afanasyeva, L. V. (2013). Perfection of tools of the budgetary analysis of financial streams at regional level. Proceedings of the Southwest state university. Economy. Sociology. Management, 2, 50-57 (in Russ.).

Received 4.12.2015