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Constructing segmented rental housing indices: evidence from Beijing, China

Zisheng Song (Department of Real Estate and Construction Management, Royal Institute of Technology, Stockholm, Sweden)
Mats Wilhelmsson (Department of Real Estate and Construction Management, Royal Institute of Technology, Stockholm, Sweden)
Zan Yang (Department of Construction Management, Hang Lung Centre for Real Estate Studies, Tsinghua University, Beijing, China)

Property Management

ISSN: 0263-7472

Article publication date: 8 March 2022

Issue publication date: 24 May 2022

225

Abstract

Purpose

This paper aims to construct rental housing indices and identify market segmentation for more effective property-management strategies.

Design/methodology/approach

The hedonic model was employed to construct the rental indices. Using the k-means++ and REDCAP (Regionalisation with Dynamically Constrained Agglomerative Clustering and Partitioning) approaches, the authors conducted clustering analysis and identified different market segmentation. The empirical study relied on the database of 80,212 actual rental transactions in Beijing, China, spanning 2016–2018.

Findings

Rental housing market segmentation may distribute across administrative boundaries. Properly segmented indices could provide a better account for the heterogeneity and spatial continuity of rental housing and as well be crucial for effective property management.

Research limitations/implications

Residential rent might not only vary over space but also interplays with housing price. It would be worth studying how the rental market functions together with the owner-occupied sector in the future.

Practical implications

Residential rental indices are of great importance for policymakers to be able to evaluate housing policies and for property managers to implement competitive strategies in the rental market. Their constructions largely depend on the analysis of market segmentation, a trade-off between housing spatial heterogeneity and continuity.

Originality/value

This paper fills the gap in knowledge concerning segmented rental indices construction, particularly in China. The spatial constrained clustering approach (REDCAP) was also initially introduced to identify regionalised market segmentation due to its superior performance.

Keywords

Acknowledgements

Funding: This research is supported by the National Natural Science Foundation of China (No. 72011530136); Zisheng Song acknowledges support from the China Scholarship Council (CSC201700260251).

Citation

Song, Z., Wilhelmsson, M. and Yang, Z. (2022), "Constructing segmented rental housing indices: evidence from Beijing, China", Property Management, Vol. 40 No. 3, pp. 409-436. https://doi.org/10.1108/PM-07-2021-0052

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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