title: ÐÑÐµÐ½ÐºÐ° ÐºÐ¾Ð½ÐºÑÑÐµÐ½ÑÐ¾ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð¾ÑÑÐ¸ Ð±Ð°Ð½ÐºÐ¾Ð²ÑÐºÐ¾Ð³Ð¾ ÑÐµÐºÑÐ¾ÑÐ° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÑÑÑÐºÑÑÑÐ½Ð¾Ð³Ð¾ Ð¸ Ð½ÐµÑÑÑÑÐºÑÑÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾Ð´Ñ Ð¾Ð´Ð¾Ð²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Assessment of the competitiveness of the banking sector using structural and non-structural approaches
Creators: name: Ð¡Ð¾ÐºÐ¾Ð»Ð¾Ð²Ð°, ÐÐ½Ð½Ð°
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: 2023
Subjects: ÐºÐ¾Ð½ÐºÑÑÐµÐ½ÑÐ¾ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð¾ÑÑÑ
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Ð¸Ð½Ð´ÐµÐºÑ ÐºÐ¾Ð½ÑÐµÐ½ÑÑÐ°ÑÐ¸Ð¸
Ð¸Ð½Ð´ÐµÐºÑ Ð¥ÐµÑÑÐ¸Ð½Ð´Ð°Ð»Ñ-Ð¥Ð¸ÑÑÐ¼Ð°Ð½Ð°
Ð¼Ð¾Ð´ÐµÐ»Ñ ÐÐ°Ð½Ð·Ð°ÑÐ°-Ð Ð¾ÑÑÐ°
competitiveness
banking sector
concentration index
Herfindal-Hirshman index
Panzar-Rosse model

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description: The aim of the work is to assess the competitiveness of the banking sector using structural (calculation of concentration and Herfindahl-Hirschman indices), as well as non-structural (construction of the Panzar-Rosse regression model) approaches. The research set the following goals: - researched the theoretical foundations for assessing the competitiveness of banks; - analysed the current state of the banking services market in Russia using a structural approach; - an assessment of the competitiveness of the banking sector was carried out on the example of St. Petersburg using structural and non-structural approaches; - the main barriers to entry into the industry were identified and recommendations for regulatory bodies were developed. The relevance of the topic is due to the active introduction of innovative technologies in the banking sector and the emergence of FinTech services, which significantly affects the level of competition in the industry. The sources of information were the results of scientific research, as well as data from official Internet portals. Data analysis and processing was carried out using STATA and MS Excel software. The results obtained can be used to regulate competition in the banking sector in Russia, as well as within a separate region - St. Petersburg.