Application of the hedonic pricing model to real estate valuation in Hanoi, Vietnam

The value of real estate is determined by the relationship between supply and demand in the market, location, and the physical structure of the land and surrounding area. During the development of infrastructure in the capital area of Hanoi, Vietnam, changes have occurred that directly impact housing prices. This study applies the Hedonic pricing model and asking prices to predict the market value of real estate and establish the correlation between the factors affecting land prices in Hanoi in 2023 and 2024. The results show that six main factors influence real estate prices: area, number of bedrooms, proximity to the city center, type, amenities, and structure. Among these, proximity to the city center has a negative impact, while the remaining factors have a positive impact on housing prices in this area. Based on these results, participants in the real estate market can make accurate predictions about housing prices, and market regulators can gain a comprehensive view of this market, particularly the factors influencing housing prices.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-30
DOI
https://doi.org/10.5281/zenodo.15105046
Primary Topic
Transgenic Plants and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of the hedonic pricing model to real estate valuation in Hanoi, Vietnam

Zenodo (CERN European Organization for Nuclear Research)
Transgenic Plants and Applications
article

Application of the hedonic pricing model to real estate valuation in Hanoi, Vietnam

article en

Abstract

The value of real estate is determined by the relationship between supply and demand in the market, location, and the physical structure of the land and surrounding area. During the development of infrastructure in the capital area of Hanoi, Vietnam, changes have occurred that directly impact housing prices. This study applies the Hedonic pricing model and asking prices to predict the market value of real estate and establish the correlation between the factors affecting land prices in Hanoi in 2023 and 2024. The results show that six main factors influence real estate prices: area, number of bedrooms, proximity to the city center, type, amenities, and structure. Among these, proximity to the city center has a negative impact, while the remaining factors have a positive impact on housing prices in this area. Based on these results, participants in the real estate market can make accurate predictions about housing prices, and market regulators can gain a comprehensive view of this market, particularly the factors influencing housing prices.

Zenodo (CERN European Organization for Nuclear Research)
Hanoi University of Industry (VN)
Sustainable cities and communities
Openalex Percentile: Top 54%
Transgenic Plants and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.