Indicators of candidates for gentrification: a spatial framework
Bengtsson, Ingemar LU
and Kopsch, Fredrik
LU
(2019)
In International Journal of Housing Markets and Analysis
- Abstract
- Purpose
The purpose of this paper is to establish measurable factors that can be used as early indicators of which neighborhoods are most likely to undergo a process of gentrification in a reasonably near future.
Design/methodology/approach
Using 1990 data on key demographic variables for 128 neighborhoods in Stockholm, Sweden a model that allows both for testing of spatial clustering and for spatial spillovers between neighborhoods is estimated. It is hypothesized not only that gentrification depends on inter-neighborhood characteristics but also that gentrified neighborhoods will cluster and preferably be located in proximity to existing high income neighborhoods.
Findings
The findings confirm the stated... (More) - Purpose
The purpose of this paper is to establish measurable factors that can be used as early indicators of which neighborhoods are most likely to undergo a process of gentrification in a reasonably near future.
Design/methodology/approach
Using 1990 data on key demographic variables for 128 neighborhoods in Stockholm, Sweden a model that allows both for testing of spatial clustering and for spatial spillovers between neighborhoods is estimated. It is hypothesized not only that gentrification depends on inter-neighborhood characteristics but also that gentrified neighborhoods will cluster and preferably be located in proximity to existing high income neighborhoods.
Findings
The findings confirm the stated hypotheses. Among the results, it is shown that neighborhoods that gentrified between 1990 and 2012 were more likely to have been poor in 1990 and located closer to the CBD, they were also more likely to be close to neighborhoods with lower proportions of low income residents. It is also found that gentrified neighborhoods tend to cluster over space.
Originality/value
Much of the previous literature on gentrification has concerned the actual driving forces behind gentrifying neighborhoods. This paper is more concerned with indicators that can be used to spot neighborhoods that are likely to undergo a gentrification process in the future. Such information can be valuable for real estate developers in the private sector, as it may lead to more successful investments. It may also be useful for city developers at the municipal organization. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f9f6f5e2-7b9f-483c-a3d5-072ae3edd3cc
- author
- Bengtsson, Ingemar
LU
and Kopsch, Fredrik
LU
- organization
- publishing date
- 2019-04-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Neighbourhood analysis, Clustering, Gentrification, Sweden, Educational growth, Spatial spillover
- in
- International Journal of Housing Markets and Analysis
- publisher
- Emerald Group Publishing Limited
- external identifiers
-
- scopus:85064001552
- ISSN
- 1753-8270
- DOI
- 10.1108/IJHMA-06-2018-0038
- project
- Understanding housing markets
- language
- English
- LU publication?
- yes
- id
- f9f6f5e2-7b9f-483c-a3d5-072ae3edd3cc
- date added to LUP
- 2019-04-17 11:51:13
- date last changed
- 2022-04-25 22:56:30
@article{f9f6f5e2-7b9f-483c-a3d5-072ae3edd3cc,
abstract = {{Purpose<br/>The purpose of this paper is to establish measurable factors that can be used as early indicators of which neighborhoods are most likely to undergo a process of gentrification in a reasonably near future.<br/><br/>Design/methodology/approach<br/>Using 1990 data on key demographic variables for 128 neighborhoods in Stockholm, Sweden a model that allows both for testing of spatial clustering and for spatial spillovers between neighborhoods is estimated. It is hypothesized not only that gentrification depends on inter-neighborhood characteristics but also that gentrified neighborhoods will cluster and preferably be located in proximity to existing high income neighborhoods.<br/><br/>Findings<br/>The findings confirm the stated hypotheses. Among the results, it is shown that neighborhoods that gentrified between 1990 and 2012 were more likely to have been poor in 1990 and located closer to the CBD, they were also more likely to be close to neighborhoods with lower proportions of low income residents. It is also found that gentrified neighborhoods tend to cluster over space.<br/><br/>Originality/value<br/>Much of the previous literature on gentrification has concerned the actual driving forces behind gentrifying neighborhoods. This paper is more concerned with indicators that can be used to spot neighborhoods that are likely to undergo a gentrification process in the future. Such information can be valuable for real estate developers in the private sector, as it may lead to more successful investments. It may also be useful for city developers at the municipal organization.}},
author = {{Bengtsson, Ingemar and Kopsch, Fredrik}},
issn = {{1753-8270}},
keywords = {{Neighbourhood analysis; Clustering; Gentrification; Sweden; Educational growth; Spatial spillover}},
language = {{eng}},
month = {{04}},
publisher = {{Emerald Group Publishing Limited}},
series = {{International Journal of Housing Markets and Analysis}},
title = {{Indicators of candidates for gentrification: a spatial framework}},
url = {{http://dx.doi.org/10.1108/IJHMA-06-2018-0038}},
doi = {{10.1108/IJHMA-06-2018-0038}},
year = {{2019}},
}