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Model of the hospitality industry development based on the cost approach

机译:基于成本方法的酒店产业发展模式

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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.
机译:公寓在过去几年中成为市场的新趋势。这类房地产每年都变得越来越受欢迎,都是投资者和游客。本文的目的是在圣彼得堡进行公寓的价格预测。研究方法:描述,比较,类比,泛化和分析。在该研究过程中,考虑了2014 - 2019年圣彼得堡每平方米的公寓价格变化的动态;确定了影响圣彼得堡公寓价格指数的主要因素。在多元线性回归的基础上分析了所确定的因素对价格指标的影响。该研究表明,几乎所有因素与所产生的指标都有相当强烈的关系。在建立的基础上,确定了最重要的因素。在指数平滑方法的基础上,对预测期内因素的变化进行了评估,基于所获得的价值观的公寓价格预测。该研究表明,未来一段期间的公寓价格将上涨。作者开发的服务公寓成本预测可以在圣彼得堡进行房地产交易时产生积极影响。

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