Issue |
E3S Web Conf.
Volume 460, 2023
International Scientific Conference on Biotechnology and Food Technology (BFT-2023)
|
|
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Article Number | 03004 | |
Number of page(s) | 7 | |
Section | Agro-Food Value Chains | |
DOI | https://doi.org/10.1051/e3sconf/202346003004 | |
Published online | 11 December 2023 |
Development strategy for the regional services market
1 Peter the Great St. Petersburg Polytechnic University, 29 Polytechnicheskaya str., 195251, St. Petersburg, Russia
2 Baltic State Technical University, 1st Krasnoarmeyskaya str., 119005, Saint Petersburg, Russia
3 The Russian Presidential Academy of National Economy and Public Administration (Institute of management, RANEPA St. Petersburg), 57/43, Sredny prospect VO, 199178, Saint Petersburg, Russia
* Corresponding author: kafedra17@rambler.ru
The hospitality industry is influenced by an increasing number of factors every year. For successful hotel business, it is necessary not only to know exactly the market, its potential guests and be able to prevent all unforeseen risks, but also to introduce new modern, including energy-saving technologies. In modern conditions of growth of the hospitality market, the introduction of energy-saving technologies can become not only a factor of saving, but also a factor of increasing attractiveness in the eyes of potential consumers of hospitality industry services. The purpose of the study is to identify key factors, including energy conservation, and to assess the growth rate of the hospitality industry market. The objectives of the study involve identifying and analyzing the relationship of factors with indicators of revenue and net profit in the hospitality market, conducting regression analysis, as well as determining the forecast values of the main economic indicators. Research methods: factor analysis, regression analysis, construction of own hypotheses. As a result of the study, forecast estimates of the growth rates of the hospitality market in the post-pandemic period were obtained. Keywords: hotel business, energy-saving technologies, tourist flow, regression analysis, room rate, forecasting
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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