title: ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ Ð¼Ð°Ð»Ð¾Ð³Ð¾ Ð¸ ÑÑÐµÐ´Ð½ÐµÐ³Ð¾ Ð¿ÑÐµÐ´Ð¿ÑÐ¸Ð½Ð¸Ð¼Ð°ÑÐµÐ»ÑÑÑÐ²Ð° Ð½Ð° ÑÐµÐ³Ð¸Ð¾Ð½Ð°Ð»ÑÐ½ÑÐµ ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ðµ ÑÐ¸ÑÑÐµÐ¼Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Modeling the impact of small and medium-sized entrepreneurship development on regional social and economic systems
Creators: name: ÐÑÐ¿ÑÐ¸Ð¹, ÐÐ¾Ð»Ð¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð¼Ð°Ð»Ð¾Ðµ Ð¸ ÑÑÐµÐ´Ð½ÐµÐµ Ð¿ÑÐµÐ´Ð¿ÑÐ¸Ð½Ð¸Ð¼Ð°ÑÐµÐ»ÑÑÑÐ²Ð¾
ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ
ÑÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ° ÐÐ¡Ð
small and medium entrepreneurship
clustering
econometric modeling
support of SMEs

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description: This work is devoted to the identification, analysis and modeling of the impact of small and medium-sized enterprises on social and economic systems, as well as the formation of recommendations for measures to support SMEs, taking into account the results of modeling. In the course of the work the following tasks were solved: â analyzing the experience of SME support in Russia and the European Union countries; â analyze the mechanisms of SME influence on social and economic systems; â analyzing the studies devoted to the assessment of the relationship between the activities of small and medium-sized enterprises and social and economic systems; â econometric modeling of the main indicators of SME development; â analysis of the obtained models and development of recommendations. The result of the work is the specification of models describing the impact of small and medium-sized enterprises on regional social and economic systems of different levels, as well as a number of recommendations to support small and medium-sized enterprises, developed in view of the results of modeling. Data processing was carried out using the MS Office package (Excel). Clustering was performed by means of Python. Data analysis and econometric modeling, as well as model testing, were conducted using STATA software.