ANALYSIS OF TEXTILE COMPANY` FINANCIAL SECURITY IN MEZO LEVEL: IN CASE OF UZBEKISTAN
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Abstract
Financial security is the key to conducting an independent financial and economic policy of the country. Financial security is manifested in the prevention of large capital outflows abroad, the prevention of conflicts between government bodies of various levels on the allocation of resources of the national budget system, weakening the impact of global crises, ensuring the stability of financial and economic parameters. The financial stability of a textile industry company in a particular region is determined both by the results of the production and economic activities of the company itself and by factors external to this company, including the level of economic development of the region, the potential of industrial production on its territory, cyclical fluctuations in the economic environment and other macroeconomic factors. The initial stage of a quantitative study of the financial stability of textile companys in the Republic of Uzbekistan at the regional level should be the stage of clustering regions in order to identify groups that include homogeneous regions in terms of industrial growth rates, phases of economic cyclicality of industrial dynamics.
In the article has been presented a theoretical justification, a set of algorithms, as well as the results of calculations based on data from the State Statistics Committee of the Republic of Uzbekistan, which made it possible to systematize regions according to the characteristics of growth and cyclicality of industrial production for the period 2010-2018. The typologization of the regions of the Republic of Uzbekistan is relevant for a comparative assessment of changes in the financial stability of textile companys under the influence of the crisis caused by the coronavirus pandemic, as well as in the post-crisis period.
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References
Tekin,H.,and Polat,A.Y. (2020) Is saving vital? Evidence from the financial crisis, Economics and Business Letters, 9(2), 124-134.DOI: 10.17811/ebl.9.2.2020.124-134.
Zarova., E. Statistical Methodology for Evaluating Business Cycles with the Conditions of Their Synchronization and Harmonization, Statistics, Statistics - Growing Data Sets and Growing Demand for Statistics, IntechOpen, 2018, pp. 27-48.
Levin Y., Nediak M., Topaloglu H.: Cargo capacity management with allotments and spot market demand, Operations Research 60(2), 2012, pp. 351-365, https://doi.org/10.1287/opre.1110.1023
Sebastiano A., Belvedere V., Grando A., Giangreco A.: The effect of capacity management strategies on employees' well-being: A quantitative investigation into the long-term healthcare industry, European Management Journal 35(4), 2017, pp. 563-573, ttps://doi.org/10.1016/j.emj.2016.12.001
Chien C., Dou R., Fu W.: Strategic capacity planning for smart production: Decision modeling under demand uncertainty, Applied Soft Computing 68, 2018, pp. 900-909, https://doi.org/10.1016/j.asoc.2017.06.001
Davis M., Dempster M., Sethi S., Vermes D.: Optimal capacity expansion under uncertainty, Advances in Applied Probability 19(01), 1987, pp. 156-176, https://doi.org/10.2307/1427378
Huang D., Lin Z., Wei W.: Optimal production planning with capacity reservation and convex capacity costs, Advances in Production Engineering & Management 13(1), 2018, pp. 31-43, https://doi.org/10.14743/apem2018.1.271
Shao J.F., Li Y.: Multi-agent production monitoring and management system for textile materials and its applications, Journal of Industrial Textiles 40(4), 2010, pp. 380-399,
https://doi.org/10.1177/1528083710380428
Koltai T., Stecke K.: Route-independent analysis of available capacity in flexible manufacturing systems, Production and Operations Management 17(2), 2008, pp. 211-223, https://doi.org/10.3401/poms.1080.0017