The paper deals with the issue of unavailability housing in the Czech Republic, which affects an increasing number of people. As a result of the covid-19 pandemic, there has been a significant increase in property prices and widening the price to income gap, which mainly affects young people. This paper describes the basic causes of this undesirable phenomenon in society and provides recommendations that should be quickly adopted by the state and municipalities to improve the situation as we see a risk of an increase in social tension in society and a deterioration in the availability of employment for low-income professions.
This article deals with the study of the dependence between selected technical and socioeconomic factors in the real estate market that affects the return on investment. These factors include the average annual rental yield, sale/rental price for an apartment, the number of ads related to the sale/rental of apartments per 1000 inhabitants, the number of new apartment ads per 1000 inhabitants, and the share of persons facing distraint. Data from the EVAL software were used for calculation. EVAL software was developed by one of the authors of this article and allows the collecting of advertisements promoting real estate for sale and rental in the Czech Republic. This article uses data for individual districts in the Czech Republic. The article uses the methods of descriptive and mathematical statistics. The dependencies between technical and economic parameters are investigated using regression analysis. Significant dependencies were identified between the following parameters: Between selling price of an apartment and the average annual rental yield; Between the average annual rental yield and the average number of months needed to pay for the apartment; Between the average annual rental yield and the share of individuals facing distraint, and between the selling price of an apartment and the price of an apartment for rent.
Household energy constitutes an important share of affordable housing. Unaffordable housing and inadequate household energy represent a new dimension of poverty. Connections between energy, housing affordability and well-being are still under-researched. Building on housing affordability framework, this study explores the magnitude in changes in affordability of acquisition and use of an apartment between January 2018 and January 2022. Over the last four years, the real estate market in Europe has changed significantly. This paper deals with primary data for the Czech Republic, where acquisition prices of residential real estate increased depending on the region in the range of 50 to 120%. Since January 2022, there has been a sharp rise in energy prices and a tightening of conditions for the acquisition of mortgage loans. All these factors affect the standard of living in the Czech Republic. The article quantifies the magnitude of this change by calculating shares of total housing costs to total average net household income for the period January 2018 and January 2022. It is found that the affordability of owner-occupied housing in the Czech Republic has deteriorated and part of the middle class will be forced to move to the rental housing sector, multifamily housing and sharing. Finally, we argue that energy poverty needs to be considered in addressing the government housing policies. The aim of the article is to analyze the changes that have taken place in the real estate market over the last four years in relation to the growth of total housing costs and energy costs associated with housing.
The paper deals with the issue of maintenance and renovation of cultural heritage objects. This is a very specialised area of cost optimization, for which there can still be used procedures and methods applied to more normal contemporary objects, but where there are many peculiarities and differences that need to be taken into consideration. In the initial phase, it is necessary to gather all relevant data about such objects. From data there can be obtained information that can be used to build the structure and correlations of the recovery and maintenance model. In the Heritage Catalogue there can be found basic information about cultural heritage objects. It provides basic description of the objects, but technical data which could be used for creating the recovery and maintenance model are missing. Only if based on a sufficiently large and properly structured database, is it possible to deduce the correlations and dependencies needed to create a system for the types of planning and optimization involved in recovery and maintenance. In order to establish the recovery and maintenance costs, it is necessary to complement the database for individual construction elements costs and the length of recovery and maintenance cycles.
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