This paper discusses the results of a study aimed at gaining a deeper understanding of how the COVID-19 pandemic has changed the Russian tourism market and how local tourism enterprises respond to challenges caused by the COVID-19 pandemic. Summarizing their experience of doing business in crisis conditions can allow a more efficient response to similar crises in the future and contribute to a more resilient tourism sector in the aftermath of the pandemic. In order to meet the research objective, we combined various sources of operational statistical information about the state of the industry with the results of a survey conducted in the Nizhny Novgorod region and in-depth interviews with representatives of tourism enterprises. We found that Russian tourism enterprises have proved to be quite resilient by looking for additional opportunities, and paying special attention to staff development and team consolidation. However, there are problems faced by local tourism enterprises in obtaining state support. Therefore, tourism enterprises that rely on themselves and innovate to create services and products adjusted to new customer needs and preferences have a better chance to survive. In particular, the wider use of digital marketing instruments helps SMEs to propose a new value for customers aligned to the new requirements and trends in tourism, such as travel security, prevailing interest in individual and short-term trips for short distances, and the sharply increased demand for domestic tourism destinations.
Аннотация. Идентификация промышленных кластеров, которые создаются и функционируют на основе формальных и неформальных связей, является актуальной исследовательской задачей. В статье обозначена проблема ограниченности существующих подходов к решению данной задачи, проанализированы недостатки метода выделения вертикально организованных структур на базе технологических связей и территориальной близости предприятий, потенциально составляющих кластер, и предложен метод выделения промышленных кластеров на основе анализа бизнес-связей. Методологической базой исследования послужили новая институциональная экономическая теория, а также теоретические положения формирования и развития кластеров, промышленных районов и других территориально-отраслевых структур. Использованы методы анализа, синтеза, классификации, бинарных связей. Предложенный авторами метод выделения промышленных кластеров апробирован на примере текстильного кластера Ивановской области. Результаты исследования подтверждают, что авторский подход к идентификации промышленного кластера позволяет определять состав предприятий -участников кластера, дает основу для анализа вертикальных и горизонтальных связей между ними с учетом информации о контрагентах. Это выступает основой для изучения причин и истоков зарождения кластера, включая мотивацию участников, драйверы и барьеры участия в кластере, особенности управления и координации совместной деятельности, наличие особых синергетических эффектов для участников кластера, взгляд на стратегию его развития. Предложенный подход может быть применен в отношении других регионов РФ и целого ряда других отраслей. Ключевые слова: бизнес-связи; промышленные кластеры; кластерные промышленные системы; коопкуренция; устойчивость кластеров; старопромышленные регионы. Финансирование: Исследование проведено при финансовой поддержке экономического факультета МГУ им. М.В. Ломоносова (исследовательский проект «Применение методов сетевого анализа институциональных факторов становления и развития производственных кластеров»).
Development of Russian financial markets is gradually becoming a subject for standard economic analysis. Accumulated statistics make it possible to pose some questions about features of development and operation of financial markets in Russia. This paper analyses relationships between the two leading Moscow stock exchanges, as well as analysing performance of their indices and trading volumes, and factors determining index changes. The authors are far from thinking that their work is comprehensive or gives final answers to the questions posed. On the contrary, the authors hope that the paper will be a starting point for development of a fruitful scientific discussion of the issues concerned.Russian stock exchanges, their trading volumes and share prices, offer material which makes it possible to search for clear and steady patterns of performance. Although the period of organised stock trading in Russia is quite short, the combined use of monthly, daily and hourly observations allows a variety of questions to be posed. For example, what is the relationship between the performance of the two exchanges as regards indices and trading volumes, and how are those related to international indices and important factors traditionally affecting levels of market activity, such as economic activity in Russia, commodity prices, etc.? One interesting aspect of stock index performance is the slow rate of index growth despite the relatively long-lasting economic recovery (Figure1). Figure 1. Stock indices and industrial production index (1997 = 100%) 0 100 200 300 400 500 09.80 90 100 110 120 130 MICEX CSI (points, left scale) RTS (points, left scale) IPI (%, right scale)
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.