Editorial
| DOI | https://doi.org/10.1108/IJHMA-10-2021-153 |
| Published date | 19 October 2021 |
| Date | 19 October 2021 |
| Pages | 817-820 |
| Subject Matter | Property management & built environment,Real estate & property,Housing markets |
| Author | Richard Reed |
Editorial
Introduction
Welcome to the fifth issue in the 14th volume of the International Journal of Housing
Markets and Analysis. This issue contains 18 papers and provides a comprehensive local,
national and global examination and in-depth analysis of housing markets. The diverse
range of research problems, methodologies, data sets and findings in the papers highlight
the strength of this journal and the direct contribution to our expanding knowledge base
about housing markets.All papers have been through a double-blind refereeing process, and
acknowledgement is given to the contribution of leading researchers and theeditorial board
in their important reviewerrole.
The first paper identified and analysed critical success factors (CSFs) supporting the
uptake of PPPs in the global retirement village market. The methodology examines results
from a survey of experienced practitioners in the global PPP and retirement village markets.
The results confirmed that out of the 27 CSFs identified, the most significant were those
developing PPP retirement village projects with attributes including “the age-friendly design
of villages”,“appropriate location of PPP retirement village”,“reliable and accessible health
and physical facilities”and “effective social inclusion and integration in villages”.Further
analysis thenconfirmed that the 27 CSFs can be grouped into seven major factor groupings.
The second paper from Germany investigated the potential existence of bubbles in the
housing sector and also examined any possible linkages between economic policy uncertainty
and housing sector price index. The methodology used GSADF, Granger causality, Toda
Yamamoto causality and also wavelet coherence tests. The findings showed that
some bubbles existed in the housing sector in Germany over the designated periods;
there was a positive correlation between economic policy uncertainty and the
housing sector price index at different frequencies and over different periods; and
between 2008 and 2009 and between 2011 and 2013, a level of economic policy
uncertainty led the housing sector price index.
The third paper from Taiwan used spatial quantileregression to examine the spatial effect
of health-care accessibility on property prices. The findings confirmed that “physician-to-
elder ratio”and “(hospital) bed-to-elder ratio”demonstrated consistently positive effects
across all quantiles of property prices based on spatial quantile regression. In contrast, the
“ambulance-to-elder ratio”highlighted a non-linear influence on property prices because of
the semi-obnoxious characteristics of ambulance. The study highlighted the importance of
the “house age”variable for observed influence in all models. The fourth paper from
Bangladesh examined the drivers behind population levels in specific geographical areas.
The methodology used both primary and secondary data including a survey of 329
respondents, followed by regression and correlation analysis. The findings confirmed
“migration”was the most critical variable and also identified the causes of increasing
demand for residential plotsand flats.
The fifth paper from Sri Lanka identified and analysed variables to understand drivers
affecting the “time on the market”(TOM) of housingunits, as well as examining important
relationships with variables and their effect on the TOM of residential properties. The
methodology included a survey of 57 variables that can influence TOM; this was also
supported with semi-structuredinterviews with developers to confirm reliability of the data
Editorial
817
InternationalJournal of Housing
Marketsand Analysis
Vol.14 No. 5, 2021
pp. 817-820
© Emerald Publishing Limited
1753-8270
DOI 10.1108/IJHMA-10-2021-153
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