2013
DOI: 10.1016/j.proeng.2013.04.044
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The Influence of Real Estate Market Cycle on the Development in Latvia

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Cited by 23 publications
(15 citation statements)
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“…Figure 4 shows that the largest amount of real estate transactions was observed in 2006. However, the total satisfied demand in the real estate market, as well as the average selling price per square meter of housing in the market according to Latvian Central Statistical Bureau data, peaked exactly in 2007 [36]. This means that real estate prices in Latvia had a greater impact on the total accumulated amount of money in the real estate market than the total number of business dealings.…”
Section: Zemgales Regionmentioning
confidence: 96%
“…Figure 4 shows that the largest amount of real estate transactions was observed in 2006. However, the total satisfied demand in the real estate market, as well as the average selling price per square meter of housing in the market according to Latvian Central Statistical Bureau data, peaked exactly in 2007 [36]. This means that real estate prices in Latvia had a greater impact on the total accumulated amount of money in the real estate market than the total number of business dealings.…”
Section: Zemgales Regionmentioning
confidence: 96%
“…3, 2015 high profits. In consequence, construction activity increases dramatically (GEIPELE, KAUŠKALE 2013). Despite this, at the sectorial level, sales and profits grow rapidly, as the market for new products has not yet become saturated (BODIE et al 2002).…”
Section: Expansionmentioning
confidence: 99%
“…In general, these factors are also integrated within the framework of the governmental social and housing policy, which is an important component of the Ukrainian housing market functioning [21]. Of cause, housing market trends to illustrate a level of society welfare, but from the other point of view, housing market can be considered as a driver of development for national economy as a whole [11]. Thus, the objectives of the research are to detect the main trends in Ukrainian housing market, to find rationale of modeling housing market fluctuations and to reveal the main peculiarities that could perform further prospective of housing market changes.…”
Section: Introductionmentioning
confidence: 99%