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Title:Primerjava starih in novih posplošenih tržnih vrednosti nepremičnin : magistrsko delo
Authors:ID Jamnik, Katarina (Author)
ID Grum, Bojan (Mentor) More about this mentor... New window
Files:.pdf RAZ_Jamnik_Katarina_i2021.pdf (1,66 MB)
MD5: A45010FD31EA8D362F28892BDC62DD91
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EVRO-PF - Nova Univerza - European Faculty of Law
Abstract:Bistveni namen novega množičnega vrednotenja v Sloveniji je uvedba davka na nepremičnine in pa vzpostaviti celosten sistem vrednosti nepremičnin na enem mestu. Osnovo za vzpostavitev sistema množičnega vrednotenja pa tvorijo javne evidence; katere osnovne tri so: zemljiški kataster, kataster stavb in register nepremičnin. Za evidentiranje podatkov v zgoraj omenjene evidence je pristojna Geodetska uprava, ki na prvi stopnji vodi upravni postopek. V letu 2017 je bil sprejet nov Zakon o množičnem vrednotenju (Uradni list RS, št. 77/17, 33/19 in 66/19), 1. 4. 2020 pa tudi Uredba o določitvi modelov vrednotenja nepremičnin (Uradni list RS, št. 22/20), s katerim hoče vlada izvesti novo množično vrednotenje pri nas, pod idejo, da so obstoječi podatki zastareli in tako posledično neprimerni. V magistrskem delu je opisan sistem množičnega vrednotenja pri nas, prav tako pa tudi stari in novi modeli, ki določajo vplive na posplošeno vrednost nepremičnin. Opisani so zgodovina množičnega vrednotenja in prvi zametki poizkusa vzpostavitve sistema vrednotenja pri nas. Ker je sodelovanje javnosti zelo pomemben steber pri oblikovanju modelov in sistema, je v tem delu pojasnjen postopek sodelovanja vseh akterjev pri oblikovanju modelov, prav tako pa tudi pravna varnost lastnikov nepremičnin, kot osnovna pravica vseh lastnikov nepremičnin. V zadnjem sklopu tega dela je bil izveden še izračun novih posplošenih tržnih vrednosti nepremičnin, izračunanih na podlagi treh različnih modelov, in pa natančna primerjava med starimi in novimi vrednostmi. Na koncu raziskave je bilo ugotovljeno, da so se vrednosti v povprečju povišale za 24 %, kar je bilo več od pričakovanih rezultatov.
Keywords:množično vrednotenje, modeli vrednotenja, katastri, tržna vrednost, nepremičnina
Place of publishing:Ljubljana
Place of performance:Ljubljana
Publisher:[K. Jamnik]
Year of publishing:2021
Year of performance:2021
Number of pages:1 spletni vir (1 datoteka PDF (87 str.))
PID:20.500.12556/ReVIS-8601 New window
COBISS.SI-ID:91435523 New window
UDC:332.21(043.2)
Note:Mag. delo 2. stopnje bolonjskega študija; Nasl. z nasl. zaslona; Opis vira z dne 29. 12. 2021;
Publication date in ReVIS:06.01.2022
Views:1794
Downloads:88
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Secondary language

Language:English
Abstract:The main purpose of the new mass real estate valuation in Slovenia is the introduction of real estate tax and the establishment of a new value system. The basis for establishing a system are public records; whose basic three are: land cadastre, building cadastre and real estate register. In 2017, the new Law of Mass Real Estate Valuation was adopted, and on 1 April 2020 also the Decree on Determining Real Estate Valuation Models, with which the government wants to implement new mass evaluation in Slovenia, under the idea that the existing data are outdated and consequently inappropriate. This thesis describes the system of real estate mass valuation in our country, as well old ane new models that determines the effects on the generalized value. The history of mass real estate evaluation and the first beginnings of attempt to establish evaluation system in Slovenia are described in this thesis. Public participation is a very important pillar in models and system of mass real estate evaluation so, this thesis explains the process of public participation on process and as well shows the importance of legal security of real estate owners, as theirs fundamental right. In the last part of this thesis, a calculation of new generalized real estate values which based on three different models was performed, as well as a precise comparison between old and new values. At the end of the study, it was found that the values increased on average by 24%, which was more than the expected.


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