Real estate announcements monitoring dataset for Latvia 2018

Skribans, Valerijs; Jurušs, Māris; Demianchuk, Maryna; Maslii, Natalia; Pastory, Dickson

doi:10.1016/j.dib.2019.105064

Cited by 21 publications

(16 citation statements)

References 6 publications

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“…5. Before the introduction of economic sanctions against the Russian Federation in 2014-2015, they decreased, after that, they began to grow rather rapidly until 2018, then revenues continued to grow slightly, and costs began to decrease [20,21]. Over the entire period, incomes increased by about 1.52 times, and expenses -by 1.27 times (in constant prices of 2013), which indicates a relatively progressive, in terms of value, development of this sector of the St. Petersburg economy.…”

Section: Resultsmentioning

confidence: 99%

The hospitality industry development factors (case of St. Petersburg)

et al. 2021

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The hospitality industry is the unity of all cooperating organizations, each of which performs certain functions aimed at meeting the needs of consumers. The purpose of the article is to review the hotel market of St. Petersburg in the pre-pandemic period. During the research, methods of system and economic analysis, statistical structural and dynamic analysis, correlation and regression analysis were used. To achieve this goal, the characteristics and lists of services of hotels of the main categories are structured. It analyses the key market indicators, such as occupancy and hotel room growth, the distribution of room stock by category, the ratio of tariffs for rooms in hotels of different categories, as well as tourist flow in the context of domestic and foreign citizens. The distribution of domestic and foreign tourists by districts of the city is considered, preferences are revealed. The analysis of the dynamics of changes in the main parameters of the market, including specific indicators, is carried out, demand and supply are compared. It is established that hotels in recent years have carried out activities to attract additional tourists. It is concluded that hotels of different categories did not have time to adapt to the increase in the number of tourists. The characteristics of the market that presumably influence the value of the Gross regional Product of the city are identified, and regression models are compiled. Assumptions are made about the trends in the development of the hotel market in St. Petersburg.

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Section: Resultsmentioning

confidence: 99%

The hospitality industry development factors (case of St. Petersburg)

et al. 2021

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“…Correlation analysis was carried out to determine the relationship between the indicators of the volume of offline retail trade and the volume of e-commerce. In addition, a regression analysis was carried out using the data in Table 2 [15,16].…”

Section: Resultsmentioning

confidence: 99%

Factors of sustainable development of electronic commerce in Russian retail

Pirogova

Pivovar

2021

E3S Web Conf.

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Digitalization affects many industries, including the service sector. In this area, under the influence of the “digitalization” of the economy, there is a tendency to transfer consumer demand to the Internet. The processes of digitalization of retail trade began several years ago, but during the coronavirus pandemic, they accelerated several times, as evidenced by the growth of turnover of Internet companies. The aim of the study is to predict the share of e-commerce in the structure of retail trade. Research methods: description, comparison, analogy, generalization and analysis. In the course of the study, the dynamics of retail trade, including Internet trade, was analysed, the impact of the pandemic on retail trade was analysed, and factors affecting structural changes in retail trade were identified. On the basis of linear regression, a model of the influence of the growth rate of e-commerce volumes on the growth rate of offline turnover is constructed. The forecast showed an increase in e-trade turnover, therefore, an increase in its share in the overall structure of retail trade. The pandemic accelerated the increase in the share of Internet trade in 2020 and adjusted forecasts for the following periods. The significant growth of ecommerce caused by the pandemic will slow down in the coming years, but the trend of buyer and seller switching to the Internet will continue, which will lead to structural changes in retail.

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“…In addition, it should be noted that since the beginning of 2019, 2,200 apartments have been sold, which is 11% higher than in the first half of 2018. The share of service apartments in the sales structure was 85% [4]. In addition, in this format, an increase in sales was observed by 42% compared to the first half of 2018 [7].…”

Section: Dynamics Of Demand For Apartments By Formatsmentioning

confidence: 87%

“…Apart hotels have gained great popularity over the past few years. The format of apartments has long been present in developed foreign real estate markets, so the appearance and their development in domestic markets is quite natural [4]. In St. Petersburg, the apartment market is a fairly new thing, such projects are no more than five years old.…”

Section: Introductionmentioning

confidence: 99%

Model of the hospitality industry development based on the cost approach

Pirogova

Zasenko

2021

E3S Web Conf.

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Apartments have become a new trend in the market over the past few years. This type of real estate is becoming more and more popular every year, both among investors and tourists. The purpose of the article is to make a forecast of prices for apartments in St. Petersburg. Research methods: description, comparison, analogy, generalization and analysis. In the course of the study, the dynamics of changes in prices per square meter of apartments in St. Petersburg for 2014-2019 is considered; the main factors influencing the price index of apartments in St. Petersburg are identified. The influence of the identified factors on the price indicator is analysed on the basis of multiple linear regression. The study showed that almost all factors have a fairly strong relationship with the resulting indicator. The most significant factors are identified, on the basis of which the final model of the cost of apartments is built. On the basis of the exponential smoothing method, an assessment of changes in factors in the forecast period was made and a forecast of apartment prices was made based on the obtained values. The study shows that apartment prices will rise in the coming period. The forecast of the cost of service apartments developed by the authors can have a positive effect when conducting real estate transactions in St. Petersburg.

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Real estate announcements monitoring dataset for Latvia 2018

Cited by 21 publications

References 6 publications

The hospitality industry development factors (case of St. Petersburg)

The hospitality industry development factors (case of St. Petersburg)

Factors of sustainable development of electronic commerce in Russian retail

Model of the hospitality industry development based on the cost approach

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