The influence of non-price factors on the market with new building - case study for Warsaw

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F19%3APU135404" target="_blank" >RIV/00216305:26510/19:PU135404 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.24136/eep.proc.2019.1" target="_blank" >http://dx.doi.org/10.24136/eep.proc.2019.1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.24136/eep.proc.2019.1" target="_blank" >10.24136/eep.proc.2019.1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The influence of non-price factors on the market with new building - case study for Warsaw

Popis výsledku v původním jazyce

Research background: The real estate market is one of the often common areas. Current procedures, however, directly assess the market equilibrium or focus on predicting further developments concerning rising real estate prices. However, the offer page contains a factor that has not yet been part of the solved models. This factor is the number of building permits. If the demand for new housing is increasing, the number of building permits is a factor that allows for an increase in the supply. Purpose of the article: The purpose of this article is to identify the factors influencing the number of building permits in the capital city of Warsaw. The influence of macroeconomic, microeconomic and demographic factors is examined. Methods: This study uses secondary data from the Polish Statistical Office and the Polish National Bank. Other data is taken from EUROSTAT. General scientific methods are Granger causality and multifactor regression. Findings & Value added: The correlation results brings those results. Statistically, the significant variable is not Consumer Price Index and The Number of Inhabitants. Other variables showed a statistically significant correlation. The variable The Number of Inhabitants shows the negative value of correlation, but it is not statistically significant. Defined hypotheses have the following evaluation: H1. For growth in the supply of residential housing is a significant factor in GDP. GDP has the most substantial influence. According to the metric used, 1% of GDP means increase in building permits about 26 pieces. Other variables reach a maximum of 0.7%. The second statistically significant variable is population growth. It is only half the strength of GDP and is significant at 5% level alpha. This hypothesis was confirmed, for the variable GDP was identified most robust statistical significance both at the 5% level and at the level of 1% for case of WARSAW. H2. Average wage growth is not a statistically significant variable. The averag

Název v anglickém jazyce

The influence of non-price factors on the market with new building - case study for Warsaw

Popis výsledku anglicky

Research background: The real estate market is one of the often common areas. Current procedures, however, directly assess the market equilibrium or focus on predicting further developments concerning rising real estate prices. However, the offer page contains a factor that has not yet been part of the solved models. This factor is the number of building permits. If the demand for new housing is increasing, the number of building permits is a factor that allows for an increase in the supply. Purpose of the article: The purpose of this article is to identify the factors influencing the number of building permits in the capital city of Warsaw. The influence of macroeconomic, microeconomic and demographic factors is examined. Methods: This study uses secondary data from the Polish Statistical Office and the Polish National Bank. Other data is taken from EUROSTAT. General scientific methods are Granger causality and multifactor regression. Findings & Value added: The correlation results brings those results. Statistically, the significant variable is not Consumer Price Index and The Number of Inhabitants. Other variables showed a statistically significant correlation. The variable The Number of Inhabitants shows the negative value of correlation, but it is not statistically significant. Defined hypotheses have the following evaluation: H1. For growth in the supply of residential housing is a significant factor in GDP. GDP has the most substantial influence. According to the metric used, 1% of GDP means increase in building permits about 26 pieces. Other variables reach a maximum of 0.7%. The second statistically significant variable is population growth. It is only half the strength of GDP and is significant at 5% level alpha. This hypothesis was confirmed, for the variable GDP was identified most robust statistical significance both at the 5% level and at the level of 1% for case of WARSAW. H2. Average wage growth is not a statistically significant variable. The averag

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 10th International Conference on Applied Economics

ISBN

978-83-65605-11-5

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

299-307

Název nakladatele

Institute of Economic Research

Místo vydání

Toruň/ Poland

Místo konání akce

Toruń

Datum konání akce

27. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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