KEY STATISTICAL INDICATORS OF SMALL BUSINESS IN UZBEKISTAN AND THEIR SIGNIFICANCE
DOI:
https://doi.org/10.55640/Keywords:
Small enterprises, statistical indicators, statistical analyses, economic potencial, statistical methods.Abstract
Assessing the economic efficiency of small and medium-sized enterprises (SMEs) and private entrepreneurship is crucial for fostering sustainable economic development. This article examines various statistical methods employed to evaluate SME efficiency, including Data Envelopment Analysis (DEA), Stochastic Frontier Analysis (SFA), regression models, Cost–Benefit Analysis (CBA), and Total Factor Productivity (TFP) analysis. DEA is a non-parametric method that benchmarks the relative efficiency of decision-making units by constructing a frontier of best practices. It has been applied in various contexts, such as evaluating the competitiveness of Costa Rican SMEs and assessing the efficiency of Turkish SMEs.
References
Nazarov, N. G. (2024). STATISTICAL INDICATORS OF ECONOMIC PRODUCTIVITY OF BUSINESS ENTITIES IN FREE ECONOMIC ZONES. Инновационные исследования в современном мире: теория и практика, 3(14), 109-112.
Nazar, PhD Nazarov. "STATISTICAL RESEARCH METHODS OF BUSINESS ENTITIES IN FREE ECONOMIC ZONES IN UZBEKISTAN."
Nazarov N. STATE SUPPORT MEASURES FOR ENHANCING THE EXPORT POTENTIAL OF BUSINESS ENTITIES IN FREE ECONOMIC ZONES //Академические исследования в современной науке. – 2025. – Т. 4. – №. 15. – С. 119-122.
Назаров Н. СТАТИСТИЧЕСКИЕ МЕТОДЫ ИССЛЕДОВАНИЯ СУБЪЕКТОВ ПРЕДПРИНИМАТЕЛЬСТВА В СВОБОДНЫХ ЭКОНОМИЧЕСКИХ ЗОНАХ УЗБЕКИСТАНА //Экономическое развитие и анализ. – 2024. – Т. 2. – №. 11. – С. 209-214.
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