The use of multivariate statistical analysis methods as an effective tool for investment attractiveness

  • Lidiya A. Bekbotova FSBEI HE Ingush State University - Russia
  • Malika A. Buralova FSBEI HE Chechen State University - Russia
  • Makka G. Goygova FSBEI HE Ingush State University - Russia
  • Valentina B. Dzobelova North-Ossetian State University named after K.L. Khetagurov - Russia
  • Nikolay S. Kokov Kabardino-Balkarian State Agrarian University named after V. M. Kokov - Russia
Keywords: economic crisis, sanctions, increasing competition, agro-indistrial complex, modeling and forecasting.

Abstract

In the terms of sanctions and the need to strengthen the import substitution policy, the issues of effective investment attraction in the agrarian-oriented republics of the North Caucasus are especially relevant. Due to the underinvestment of the agro-industrial complex in these depressed republics, diversified enterprises of the agro-industrial complex sectors generated a large amount of physically and morally worn-out equipment, economic entities of the industry are not able to function efficiently and develop properly, which ultimately does not allow them to produce competitive products. Undoubtedly, we need new practical recommendations and directions to improve the management of investment attractiveness to mobilize various sources of investment. There are many methods for assessing the rating attractiveness of enterprises. But all of them have a common drawback - rating evaluations are usually given simultaneously for the entire data set, which, in general, significantly complicates and even excludes the possibility of an objective assessment of the investment attractiveness for an economic entity not previously included in the list of enterprises under study (Dougherty, 1997; Roizman et al, 2001). Another significant drawback is the lack of validity for the selected indicators of the final rating.

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Author Biographies

Lidiya A. Bekbotova, FSBEI HE Ingush State University - Russia

PhD in Economics, Associate Professor, FSBEI HE Ingush State University

Malika A. Buralova, FSBEI HE Chechen State University - Russia

PhD in Economics, Associate Professor, FSBEI HE Chechen State University

Makka G. Goygova, FSBEI HE Ingush State University - Russia

PhD in Economics, Associate Professor, FSBEI HE Ingush State University

Valentina B. Dzobelova, North-Ossetian State University named after K.L. Khetagurov - Russia

Ph.D. (Econ.), Associate professor, North-Ossetian State University named after K.L. Khetagurov

Nikolay S. Kokov, Kabardino-Balkarian State Agrarian University named after V. M. Kokov - Russia

Ph.D. in Economics, Associate Professor, Kabardino-Balkarian State Agrarian University named after V.M. Kokov

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Published
2019-10-30
How to Cite
Bekbotova, L. A., Buralova, M. A., Goygova, M. G., Dzobelova, V. B., & Kokov, N. S. (2019). The use of multivariate statistical analysis methods as an effective tool for investment attractiveness. Religación, 4(20), 168-172. Retrieved from https://revista.religacion.com/index.php/religacion/article/view/491