The housing market in Serbia: Segmentation, arbitrage and overvaluation DOI Creative Commons
Srđan Marinković, Ognjen Radović, Jelena Radojičić

et al.

Ekonomski horizonti, Journal Year: 2024, Volume and Issue: 26(3), P. 283 - 300

Published: Jan. 1, 2024

The paper discusses market trends and analyzes the regularities that appear on Serbian national housing regional submarkets. It is assumed that, apart from Common Market driving forces, for newly constructed houses existing stock behave like two separate segments of with imperfect adjustment prices. prime focus analysis divergence between prices in those segments, a special interest process mutual adjustments. Granger causality tests are employed order to reveal whether there causal relationship price indices it has been found relation house prevailing among same methodology applied test if any such markets. results have confirmed likely influence Belgrade new construction other findings will help understand adjustments lead policy recommendations.

Language: Английский

The non-linear dynamics of South Australian regional housing markets: A machine learning approach DOI Creative Commons
Alì Soltani, Chyi Lin Lee

Applied Geography, Journal Year: 2024, Volume and Issue: 166, P. 103248 - 103248

Published: March 30, 2024

Language: Английский

Citations

15
Measuring the capitalization effects of coastal landscapes: evidence from real estate market in Qingdao, China DOI
Yufei Zhou, Shuqin Li, Jingmei Li

et al.

Journal of Housing and the Built Environment, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Language: Английский

Citations

0
Investigating the impact of property characteristics, cost of living, and environmental factors on rental prices in Baidoa’s climate-affected real estate market: a hybrid approach using hedonic regression and neural networks DOI Creative Commons
Mohamed Ibrahim Nor,

Buba Audu,

Ateesha F. Mohamed

et al.

Frontiers in Sustainable Cities, Journal Year: 2025, Volume and Issue: 7

Published: March 19, 2025

Introduction Understanding the determinants of residential rental prices is crucial for policymakers, investors, and real estate practitioners. This study investigates influence property value, characteristics, cost living, political stability, essential services, environmental factors on in Baidoa city. Additionally, research compares different modeling approaches to enhance price forecasting. Methods A dual-method approach was employed, integrating hedonic regression analysis artificial neural network (ANN) models analyze values. The dataset includes key variables such as number bedrooms, conditions. predictive performance interpretability both were assessed determine their effectiveness estimation. Results findings reveal that are significantly influenced by services (e.g., electricity), However, stability displacement did not exhibit significant effects. While provided clear, interpretable insights into direct predictors, ANN captured nonlinear interactions demonstrated superior prediction accuracy. Nevertheless, model exhibited mixed performance, with 53% cases underperforming 47% exceeding predictions, highlighting need improved precision Discussion emphasizes importance a mixed-method Policymakers should integrate econometric machine learning refine housing policies ensure fair market regulations. Investors owners can leverage these optimize pricing strategies, while practitioners benefit from data-driven decision-making. contributes valuation literature bridging traditional advanced techniques. validates applicability information asymmetry theories within an emerging context, offering more comprehensive understanding determinants.

Language: Английский

Citations

0
The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space DOI

Haishan Xia,

Renwei Liu, Li Lu

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106422 - 106422

Published: May 1, 2025

Language: Английский

Citations

0
The Impact of Subway Station Proximity on Apartment Prices in Shiraz DOI Creative Commons
Hamed Najafi Kashkooli,

Khalil Hajipoor,

Arasteh Mojtaba

et al.

Transportation in Developing Economies, Journal Year: 2024, Volume and Issue: 10(2)

Published: April 3, 2024

Abstract Proximity to public transportation, such as subway stations is often considered one of the main factors affecting urban land value and housing prices. However, magnitude direction this impact may vary depending on context characteristics each city. This paper aims investigate effect station proximity apartment prices in Shiraz, a major city Iran with population over 1.8 million people. Using hedonic price model regression technique, we analyzed dataset 128 transactions, controlling for size, location, age, other characteristics. The results differ from previous studies which suggested being closer transit affects property due accessibility. findings suggest that distance has an insignificant age key determinants possible reasons result were discussed recommendations made development further studies.

Language: Английский

Citations

3
A review of research methods on the coupling relationship between urban rail transit and urban space: revealing spatiotemporal relationships through big data DOI Creative Commons
Zishuo Liu,

Haishan Xia,

Tong Zhang

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: April 8, 2024

Urban rail transit (URT) systems play an evident role in shaping city spatial structures; however, the principles and mechanisms behind this influence are not fully understood. This paper reviews research progress on coupling relationship between URT urban space, focusing big data analysis methods timeliness sequence of effects. It highlights importance temporal dimension analysis. By thoroughly exploiting value extracting key elements, technology imparts attributes to these exploring their interaction over different time sequences. The also discusses potential application planning support sustainable development. Finally, outlines future directions, including deepened new sources understanding space. offers perspectives methodologies for development transportation planning.

Language: Английский

Citations

3
Determinants of housing prices: Serbian Cities’ perspective DOI Creative Commons
Srđan Marinković, Marija Džunić, Ivana Marjanović

et al.

Journal of Housing and the Built Environment, Journal Year: 2024, Volume and Issue: 39(3), P. 1601 - 1626

Published: June 25, 2024

Abstract This study investigates the spatial and temporal dynamics of housing prices in Serbia, addressing critical need to understand drivers real estate their implications for economic social welfare. Employing a panel data analysis approach on unique dataset covering 24 distinct urban areas Serbia from 2011 2021, we examine relevance diverse economic, demographic, infrastructural indicators, providing novel insights within developing country context. Our findings reveal that market stock-flow model effectively predicts price appreciation trends, explaining over 60 percent variation property prices. Notably, disparities labour income, captured by average wages registered employment rates, emerge as significant determinants prices, underlining socio-economic Serbian cities. Housing exhibit positive response population/housing stock ratio, suggesting higher cities experiencing faster population growth relative supply. Intensified construction is associated with elevated Additionally, find association between inflation variable estate’s potential an hedge. Public service provision amenities also contributors areas, emphasizing importance comprehensive planning strategies. contributes literature specific quantitative evidence, advancing understanding countries. By offering nuanced into our research informs policymakers planners seeking foster equitable sustainable development

Language: Английский

Citations

2
Spatial heterogeneity in housing price-transaction ratios: a historical analysis of Tehran DOI
Mohsen Roohani Qadikolaei,

Yaser Hatami,

Sara Nikmard Namin

et al.

International Journal of Housing Markets and Analysis, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 22, 2024

Purpose This study aims to explore the intricate relationship between housing prices and transaction volumes in Tehran, a city with diverse socioeconomic regional characteristics. research addresses critical gap understanding role of local spatial factors, which previous studies have often overlooked, focusing instead on macroeconomic variables. Design/methodology/approach Using data set transactions Metropolitan Tehran from 2010 2020 sourced secondary data, this uses generalized linear mixed models clustering techniques. These methods enable an examination geographical effects contextual variables dynamics volumes. Findings Results indicate significant heterogeneity within Tehran’s market. Higher are concentrated northern western regions, influenced by factors such as employment rates, rental supply physical attributes stock. The findings suggest that policies alone insufficient address challenges Tehran; targeted, localized interventions necessary. Research limitations/implications study’s reliance its focus single urban environment may limit generalizability findings. Further incorporating wider range macro could strengthen applicability results across different contexts. Practical implications underscores need for region-specific consider economic, social conditions. Policymakers improve affordability accessibility implementing tailored strategies distinct needs districts. Originality/value offers novel perspective integrating market analysis, providing insights challenge traditional focus. use advanced statistical analysis techniques contributes deeper dynamics.

Language: Английский

Citations

2
Active, passive and hybrid multilocal living practices - towards a classification DOI Creative Commons
Leonie Wächter

Journal of Housing and the Built Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 21, 2024

Abstract The accelerated pace of life, increased mobility and the individualisation society have yielded a variety postmodern living housing environments. proliferation multilocal practices can be understood as part this change. Research on multilocality often focuses exclusively those who reside in several places. sedentary members same household, remain at primary residence whose lives are significantly influenced by rhythmic absence mobile members, largely overlooked. Furthermore, quantitative estimates extent practices, based official data, currently insufficient. aim study is to classify multi-local lifestyles capture diversity complexity these thereby expanding scholarly understanding its numerical entirety. To achieve this, representative survey using standardized questionnaire was conducted two major city regions Germany spring 2023. data from identified specific types multilocality: active, passive, hybrid multilocals, each exhibiting distinct characteristics. integration into structure households enables classification that provides framework for how such organized they manage their residential practices. It argued all household practises multilocality, leading constant negotiation everyday lives.

Language: Английский

Citations

0
The housing market in Serbia: Segmentation, arbitrage and overvaluation DOI Creative Commons
Srđan Marinković, Ognjen Radović, Jelena Radojičić

et al.

Ekonomski horizonti, Journal Year: 2024, Volume and Issue: 26(3), P. 283 - 300

Published: Jan. 1, 2024

The paper discusses market trends and analyzes the regularities that appear on Serbian national housing regional submarkets. It is assumed that, apart from Common Market driving forces, for newly constructed houses existing stock behave like two separate segments of with imperfect adjustment prices. prime focus analysis divergence between prices in those segments, a special interest process mutual adjustments. Granger causality tests are employed order to reveal whether there causal relationship price indices it has been found relation house prevailing among same methodology applied test if any such markets. results have confirmed likely influence Belgrade new construction other findings will help understand adjustments lead policy recommendations.

Language: Английский

Citations

0