Articles
| Open Access |
DOI: Construction Of Econometric Models Of Development Of Services For The Population In The Region And Forecasting Them
Anvar Norimovich Rakhimov , Associate Professor, Karshi Engineering-Economical Institute, Uzbekistan Golibjon Kholmuminovich Makhmatkulov , Assistant, Karshi Engineering-Economical Institute, Uzbekistan Abdihakim Muhammadiyevich Rakhimov , Assistant, Karshi Engineering-Economical Institute, UzbekistanAbstract
Analyzing development processes of each sector of the service sector, the sequence of choosing and modeling the main factors which influence their development are represented through simulation schemes in this article. Multifactorial empirical models were built on the example of the service sector which is provided to the population of Kashkadarya region, forecasts were given through them and suggestions and recommendations were given on the basis of obtained results.
Keywords
Service sector, complex modeling, econometric modeling, differential equations, static and dynamic parameters, structural analysis, synthesis, optimization, multifactorial empirical models, regression equation, correlation coefficient, Darbin-Watson criterion, Fisher and student criteria
References
Annex 1 to the Decree of the President of the Republic of Uzbekistan No. 4947 of February 7, 2017 “Strategy of actions on five priority areas of development of the Republic of Uzbekistan for 2017-2021” .Lex.uz.
State program PF-6079 “Development strategies of the Republic of Uzbekistan until 2035” 5.10.2020
Introduction to the “digital” economy / subtotal. ed. A. V. Keshelava. Moscow: VNII Geosystems, 2017. 28 p.
Белых А. А. Основы методологии прогнозирования и оценки эффективности информационных систем // Научный журнал КубГАУ. 2011. № 71(07). URL: http://ej.kubagro.ru/2011/07/pdf/42.pdf (дата обращения: 10.10.2018).
Кейнс Дж. Избранные произведение. Пер. с анг. - М.: Экономика, 1993. -436 с. Портер М. Международная.
конкуренция: пер. с англ. под ред. Щепшина В.Д. – М.: Международные отношения, 1993.-886 с.
Strassmann P. The business value of computers.New Canaan : The Information Economics Press,1990. 530 p.
David P. The dynamo and the computer: anhistorical perspective on the modern productivity paradox // The American Economic Review. 1990. Vol. 88. № 2. P. 355—361.
Information Technology and the Corporation of the 1990s : research Studies / ed. by T. J. Allen, M. S. Scott Morton. New York ; Oxford : Oxford University Press, 1994.
Блиянц К. М. Особенности оценки эффективности информационных технологий в управленческой деятельности в АПК // Региональные проблемы преобразования экономики. 2016.№ 1. С. 38—43.
Васильева Е. В., Деева Е. А. Оценка экономической эффективности конкурирующих ИТ-проектов: подходы и математический инструментарий // Управление. 2017. № 4(18). С. 40-46.
Ермакова Ж. А., Парусимова Н. И., Пергунова О. В. Оценка экономической эффективности информационно-коммуникационных технологий на промышленных предприятиях // Вестник ОГУ.2014. № 1. С. 255—260.
Проектирование будущего. Проблемы цифровой реальности : тр. 1-й междунар. конф.,Москва, 8—9 февр., 2018 г. М. : ИПМ им. М. В. Келдыша, 2018. 174 с.
Сагынбекова А. С. Цифровая экономика:понятие, перспективы, тенденции развития в России // Теория. Практика. Инновации. 2018. № 4.URL: http://www.tpinauka.ru/2018/04/Sagynbekova.pdf (дата обращения: 18.11.2018).
Гранберг А.Г. Основы региональной экономики.- М.: «Экономика», 2000. -346 с. Гаврилов А.И. Региональная экономика и управление.- М.: ЮНИТИ, 2002. -239 с.
Рузметов Б. Оптимизационные задачи многоагрегатных комплексов. Модели, методы решения, программные модули. - Т.: Фан, 2010.
Arens R. Complex processes for envelopes of normal noise // IRE Trans. Inform. Theory, Sept. 1957, vol. IT-3, pp. 204-207.
Goodman N.R. Statistical analysis based on a certain multivariate complex Gaussian distribution // Ann. Math. Statist. 1963, vol. 34, p. 152-176. Wooding R. A. The multivariate distribution of complex normal variables // Biometrika, 1956, vol. 43, p. 212-215.
Tavares G. N., Tavares L. M. On the Statistics of the Sum of Squared Complex Gaussian Random Variables // IEEE Transactions on Communications, 55(32), 2007. – p. 1857-1862.
Афанасьев А.А., Пономарева О.С. Производственная функция народного хозяйства России в 1990-2012 гг. // Экономика и математические методы. 2014, 50 (26), 21-33.с.
Клейнер Г.Б. Мезоэкономика развития. – М.: Наука, 2011. – 806 с.
Svetunkov Sergey. Complex-Valued Modeling in Economics and Finance – Springer Science + Business Media, New York, 2012. – 318 p.
Merkulova T.V., Prikhodko F.I. Dynamics of macroeconomic indicators modeling by functions of complex variables // Бiзнес-Iнформ (Бюлетень ВАК Украiни) // № 4 (5) 2010 (381). С. 67 –71.
http//www.statista.comm/statistics/270072/distribution-of-the-workforce.
Тараққиётнинг ўқ илдизи ёхуд хизмат кўрсатишнинг мамлакат имижини оширишдаги муҳим роли хусусида //http://uza.uz/oz/business/-07-09-2019.
Эконометрика: учебник./Под ред. И.И.Елисеевой. –М.: Финансы и статистика, 2003. С.344.
Kh.S. Mukhitdinov, F.D. Juraev. Methods of Macroeconomic Modeling. International Journal of Trend in Scientific Research and Development (IJTSRD), e-ISSN: 2456 – 6470, 29-32 pag, https://www.ijtsrd.com/papers/ijtsrd38498.pdf
Kh.S. Mukhitdinov, A.N.Rakhimov. “Empirical models which were built for each sector of the service sector to the population of the region”. South Asian Journal Marketing & Management Research, December 2020, Isse 12, Vol 10
Kh.S. Mukhitdinov, A.N.Rakhimov. The forecast for the development of the public services sector. Scopus, Solid State Technology, December 2020, Vol 63, № 6 (2020)
Kh.S. Mukhitdinov, G.Kh.Makhmatkulov. Providing trade services to the population of the region. International Journal of Trend in Scientific Research and Development (IJTSRD), e-ISSN: 2456 – 6470, 32-41 pag. https://www.ijtsrd.com/papers/ijtsrd38499.pdf
Kh.S. Mukhitdinov, A.M.Rakhimov. Рroviding accommodation and food services to the population of the region . International Journal of Trend in Scientific Research and Development (IJTSRD), e-ISSN: 2456 – 6470, 42-48 pag. https://www.ijtsrd.com/papers/ijtsrd38500.pdf
Article Statistics
Downloads
Copyright License
Copyright (c) 2021 The American Journal of Applied sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.