Harm reduction or amplification? The adverse impact of a supervised injection room on housing prices

Liang, Jian; Alexeev, Sergey

doi:10.1016/j.regsciurbeco.2022.103856

Cited by 5 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, closing prices of properties within 1,000m of SCSs rose faster than those in control neighbourhoods, indicating community wide benefits of SCS implementation (Table 2, Figure 2). These results contradict findings recently reported by Liang and Alexeev who found a 5 -7% reduction in residential real estate closing prices in Victoria, Australia (Liang & Alexeev, 2023). However, their study significantly differed from ours in several ways.…”

contrasting

confidence: 99%

“…Given NIMBY sentiments stem from complex social, cultural and political perspectives, it is important to understand the effects of harm reduction interventions on local communities (Bosque-Prous & Brugal, 2016). With minimal exploration of the effects of SCSs on neighbourhoods; (Liang & Alexeev, 2023) these perceived threats have repeatedly barred agencies from operating SCSs in high-risk communities (Guye A, 2021;Supervised Consumption Services Review Committee & Alberta Health, 2020).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Evaluating the effects of supervised consumption sites on housing prices in Montreal, Canada using controlled interrupted time series and hedonic price models

Schaefer

Panagiotoglou

2023

Preprint

View full text Add to dashboard Cite

Background: In 2017, three brick and mortar supervised consumption sites (SCS) began operating in Montreal, Canada. Opponents argued the sites would attract people who use drugs to the respective neighbourhoods, contributing to reductions in residential real estate values. Methods: We used controlled interrupted time series and hedonic price models to evaluate the effects of Montreal's SCSs on residential real estate. We linked the Quebec Professional Association of Real Estate Brokers' housing sales data provided by Centris Inc. with Statistics Canada's census tract data, neighbourhood proximity measures, and Canadian Urban Environmental Health Research Consortium's gentrification measures. We restricted analysis to sales between 1 January 2014 and 31 December 2021, and within 1,000m of a SCS (treated) or a men's homeless shelter (control). We controlled for internal (e.g., number of bed/bathrooms, unit size) and external attributes (e.g., neighbourhood demographics; proximity to amenities), and included a spatio-temporal lag to account for correlation between sales. Results: When controlling for census tract data and gentrification measures, the price of homes sold immediately after SCSs were implemented was 5.2% lower (95% CI: -1.4%, -8.8%) compared with control sales (level effect). However, the monthly value increased 0.6% faster (95% CI: 0.4%, 0.7%) in treated neighbourhoods (trend effect). Compared with the counterfactual (i.e., SCS never implemented), sales in treated neighbourhoods observed an absolute increase of $37,931.86 (95% CI: $12,223.35, $138,088.50) by December 2021. When we also controlled for proximity scores, the immediate level effect post-implementation disappeared (-3.3%, 95% CI: -0.7%, 1.1%), but monthly trend gains persisted (0.9%, 95% CI: 0.7%, 1.0%). Conclusion: We observed a modest negative effect on prices immediately following SCS implementation. However, controlling for proximity to neighbourhood amenities eliminated the level effect. Positive month-on-month price gains were consistently observed, suggesting community wide benefits of SCS implementation.

show abstract

contrasting

confidence: 99%

mentioning

confidence: 99%

Evaluating the effects of supervised consumption sites on housing prices in Montreal, Canada using controlled interrupted time series and hedonic price models

Schaefer

Panagiotoglou

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Our outputs suggest homes sold within 200 m of SCS potentially incurred a negative price shock immediately following the implementation of the first two SCS which includes the largest SCS located in the densest neighbourhoods. These results imply neighbourhoods experience a penalty similar to the 5–7% observed by Liang and Alexeev following the implementation of Victoria, Australia’s first SCS ( Liang & Alexeev, 2023 ). However, unlike Liang and Alexeev, we also observed positive price trends sufficient to close the price gap within nine months.…”

Section: Discussionsupporting

confidence: 70%

“…Given NIMBY sentiments stem from complex social, cultural and political perspectives, it is important to understand the effects of harm reduction interventions on local communities ( Bosque-Prous & Brugal, 2016 ). With minimal exploration of the effects of SCS on neighbourhoods’ housing values ( Liang & Alexeev, 2023 ); these perceived threats have repeatedly barred agencies from operating SCS in high-risk communities ( Guye , 2021; Supervised Consumption Services Review Committee & Alberta Health, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the effects of supervised consumption sites on housing prices in Montreal, Canada using interrupted time series and hedonic price models

Schaefer,

Panagiotoglou

2024

Drug and Alcohol Dependence Reports

View full text Add to dashboard Cite

“…In order to account for potential clustering effects within the data, clustered standard errors were employed in the analysis. Moreover, due to the relatively small number of clusters in the dataset, an additional robustness test using wild bootstrap was also conducted [41]. The wild bootstrap method allows for the generation of pseudo-samples with replacement, addressing the limitations posed by the limited number of clusters and providing further validation of the model's results [42].…”

Section: Statistical Modelmentioning

confidence: 99%

The Hidden Facets: Uncovering the Influence of Region on Social Housing Unit Distribution in Brazil

Moreira,

Silva,

dos Santos

2023

Buildings

View full text Add to dashboard Cite

The Brazilian housing program, Minha Casa, Minha Vida (MCMV) (My House, My Life), was launched in 2009 to address the housing deficit issue, with the goal of distributing contracted housing units throughout the Brazilian territory. However, the program faces criticisms regarding the distribution of these units. Thus, this paper aims to analyze the distribution heterogeneity of these contracted housing units (CHUs). Two analytical approaches were employed: temporal and spatial (states). To achieve this objective, inferential methods such as Ordinary Least Squares (OLS), Spatial Autoregressive Model (SAR), and panel data regressions were employed. The findings indicate that, from a temporal perspective, there is a positive relationship between the urban housing deficit (UHD) and CHUs. However, the relationship is negative from a spatial perspective, characterizing such heterogeneity among the states. In addition, bordering regions are subject to mutual spatial influences in terms of contracted units, thereby reinforcing this heterogeneity over time.

show abstract

Harm reduction or amplification? The adverse impact of a supervised injection room on housing prices

Cited by 5 publications

References 38 publications

Evaluating the effects of supervised consumption sites on housing prices in Montreal, Canada using controlled interrupted time series and hedonic price models

Evaluating the effects of supervised consumption sites on housing prices in Montreal, Canada using controlled interrupted time series and hedonic price models

Evaluating the effects of supervised consumption sites on housing prices in Montreal, Canada using interrupted time series and hedonic price models

The Hidden Facets: Uncovering the Influence of Region on Social Housing Unit Distribution in Brazil

Contact Info

Product

Resources

About