After the restoration of independence, Latvia took a path towards a market economy and private land ownership and which mentioned wide land privatization process and building an immovable property cadastre to collect information on immovable properties. Transition to private land ownership meant that immovable property taxation will start to tax privately owned assets not assets rented from the state, a model similar to other market economies. Initially, there were two laws on the taxation of the property – The law on land tax and the Law on Property Taxation to tax commercial assets and unfinished construction objects which were adopted in December of 1990 even before the starting of land reform and privatization. In 1997 new Law on immovable property tax was approved by the Latvian Parliament and it is still in force with numerous amendments which due to the rapid development of the immovable property sector have been approved until today. Before the global economic-financial crisis in 2008 prices of immovable property were increasing rapidly followed by contraction during the global economic crisis. Immovable property tax is often considered as taxing accumulated wealth however it may have distortions and disproportionate impact on those owners who did not contribute to immovable property value growth. Therefore, the aim of this research is to evaluate the development of the immovable property taxation system development in Latvia and to compare it with the systems of neighbouring countries. Therefore, to achieve this aim following objectives were set: to analyse legislative acts regulating immovable property taxation in Latvia, and practices of other countries and to draw research conclusions.

Many studies have unveiled the importance of variation in residential property values overtime, but failed to cover different types of residential property value and location. The aim of this research is therefore to model residential property rental value in Bida from 2015 to 2020 with the aid of Geographic Information System (GIS). The study focused on the rental values of the residential property and rental value variation across space. Data collected for this paper includes residential rental values and geographic coordinates from 196 residential properties in the study area, comprising 101 one-bedroom, 80 two-bedroom and 15 three-bedroom apartments. Inverse Distance Weighted (IDW) interpolation tool of ArcGIS was employed in analysing the data. It was found out that the core areas of the town commands lower rental values while the southern part of the town commands higher rental values. It was also found out that one bedroom apartment is the most dominant residential rental property followed by the two bedroom apartments and three bedroom apartments respectively. Geospatial database was produced for each model in a bid to ascertain the level of changes with time. The benefits associated with the application of GIS technology were established by this research and recommends its application to other property values modelling.