IMPROVEMENT OF METHODS OF ASSESSING THE INVESTMENT CLIMATE OF THE REGIONS OF THE REPUBLIC OF UZBEKISTAN

Yuldasheva Diloro Asqaraliyevna

Autori

Yuldasheva Diloro Asqaraliyevna Namangan Engineering Construction Institute

Parole chiave:

investments, innovations, investment activity, attractiveness of the environment, budgetary and financial potential, general integrated indicator

Abstract

The article sets out the views of economists and the author's approach to the role of the socio-economic potential of the regions in the development of the country's economy and the investment climate in the regions. In addition to the traditional method of assessing the investment climate, the author presents a methodology for assessing the investment climate of the regions based on a generalized assessment, which is evaluated taking into account the specifics and characteristics of the regions of the Republic of Uzbekistan.

Riferimenti bibliografici

Samuel Björklund, Tobias Uhlin Artificial neural networks for financial time series prediction and portfolio optimization. ISRN: LIU-IEI-TEK-A-17/02920—SE, 2017.-173 р.;

Kohonen, T. 1988a. Learning vector quantization. Neural Networks 1, suppl. 1, 303.;

Howard B Demuth, Mark H Beale; Neural Network Design (2nd Edition), 2014, –800 р.;

Samuelson Paul A. Risk and Uncertainty: A Fallacy of Large Numbers. Scented, 1997;

Sharp U, Alexander G, Bailey J., Investment: Transl. - M .: Infra-M, 2010 .-- 1028 s;

Lawrence J. Gitman, Michael D. Johnk. Fundamentals of investing. M.: “Case”, 2007, p-10;

McConnell K.R., Bruce.S.L. Economics: principles, problems and politics. 2nd volume M.: Republic, 2002, s-338;

Zaichenko Yu.P. Fuzzy models and methods in intelligent systems. - K .: Vidavnichy Dim “Word”, 2008. - 352 p .;

Batyrshin I.Z. Fuzzy hybrid systems. Theory and Practice / Ed. N.G. Yarushkina. - M. Fizmatlit, 2007 .-- 208 p .;

Aksenov S.V., Novoseltsev V.B. Organization and use of neural networks (methods and technologies) / Under the general. ed. B. B. Novoseltseva. - Tomsk: NTL Publishing House, 2006. - 128 p .;

Kruglov VV, Borisov VV Artificial neural networks. Theory and practice. –2nd ed. stereotype. –M .: Hotline – Telecom, 2002. –382 s;

Neural networks in applied economics: EA Trofimova, Vl.D. Mazurov, D.V. Gilev; [under the total. ed. E.A. Trofimova]; Barsky A. B. Neural networks: recognition, control, decision making. - M.: Finance and Statistics, 2004. - 176 p.

I. Grishina Methodology of a comprehensive analysis of investment processes in the regions of Russia / I. Grishina // Investments in Russia. - 2005. - No. 4. - S. 3-10.

G.B. Polyak, (Ed.), Budgetary system of Russia (UNITY, Moscow,1999)

Vladimer Glontil,, Miras Zhiyenbayev and Rezo Manvelidze The method of estimating the regional budgetary process.// MATEC Web of Conferences 212, 08029 (2018) https://doi.org/10.1051/matecconf/201821208029 ICRE 2018. The author's approach to the source is taken.