Purpose The predictive accuracy and reliability of artificial intelligence models, such as the
artificial neural network (ANN), has led to its application in property valuation studies …

Unreliable and inaccurate property valuation has been associated with techniques currently
used in property valuation. A possible explanation for these findings may be due to the …

Studies have shown that the level of valuation inaccuracy in Nigeria is higher than the
acceptable international standard. This may be linked to the preference for traditional …

In Türkiye, many changes have been made in the law within the past fifty years to determine
the real estate tax value close to the real market value. However, the changes did not …

Residential house prices in New Zealand (NZ) have experienced substantial increases even
as the rate of house transactions began to slow down in 2007. This paper develops house …

The need for accurate property valuation in any country cannot be underestimated due to
the significant relationship between the real estate industry and the national economy …

This paper tests the existence of a backward-bending housing supply relationship in China,
and estimates price elasticities of new housing supply for 35 major Chinese cities. Based on …

Government intervention in land markets can have profound impacts on the operation of
housing markets. Although many empirical studies have examined the impact that …

This paper tests the existence of a backward-bending housing supply relationship in China,
and estimates price elasticity of new housing supply for 35 major Chinese cities. Based on …

Hong Kong housing market is probably one of the most efficient markets in the world
because of its transparent transaction information, relatively low trade cost and multiple …