Abstract
In Italy, the institutional analysis of the real estate market values is carried out by the Inland Revenue (government agency), through the Observatory of the Real Estate Market (OMI). In the last ten years, the average values (for types of real estates: houses, warehouses, garages, etc.) reported by the OMI are much closer to the market prices really recorded through the housing market sale contracts. Therefore, the reform of taxes on the real estate, recently strongly required by the European Commission, intends to take as reference the OMI values to increase the level of equalization in the taxation. This measure wants to correlate taxes to the real market value of the property and not to the land register value, which is completely distant from the real prices: this is true both for historical reasons (the latest update of land register values dates to several years ago) and for the evolution that the market has suffered especially in the big cities because of metropolitan and transport infrastructure development.
This paper intends to verify the reliability of the OMI values compared to actual market prices and, at the same time, intends to control the possibility to equalize the fiscal mechanism considering the same tax revenue, as the Government claims to be able to do.
The intent is to avoid the sacrifice of the less affluent segments of the population benefiting the lobbies of high-quality property owners using these modern mechanisms of the tax system.
In this model, has been implemented an informative dataset in GIS mode. The use of GIS instrument makes it easier to verify the differential between government data and market prices.
The work was developed equally among the authors.
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Notes
- 1.
It would like to thank Eng. Paolo Risi for his collaboration to the project.
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De Mare, G., Nesticò, A., Macchiaroli, M., Dolores, L. (2017). Market Prices and Institutional Values. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_30
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DOI: https://doi.org/10.1007/978-3-319-62407-5_30
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