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International Journal of Housing Markets and Analysis· 2026Q2

Greening the city, shifting the market: a spatial econometric analysis of sustainable urban development and housing prices

Aditi Dahiya, Madhu Bala Kaushik

Short summary

A 10-point increase in a new Green Urban Development Index (GUDI) is linked to an 11.8%-12.7% rise in median housing prices across 120 metropolitan areas in 28 countries, after accounting for spatial dependence and endogeneity.

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Key points

  • A new Green Urban Development Index (GUDI) was developed using PCA across five sustainability dimensions.
  • A 10-point GUDI increase correlates with an 11.8%-12.7% rise in median housing prices, confirmed by spatial lag and 2SLS models.
  • Housing prices exhibit strong spatial dependence (Moran’s I = 0.61, p < 0.01).
  • Geographically Weighted Regression (GWR) indicates stronger effects in denser, higher-income areas.

AI-generated from the title and abstract; the full text is not read.

Abstract

Purpose This study aims to examine the spatial relationship between sustainable urban development and housing prices across 120 metropolitan statistical areas (MSAs) in 28 countries, 2010–2023. Design/methodology/approach Grounded in hedonic pricing, urban land-use and spatial dependence theory, a composite Green Urban Development Index (GUDI) is built via principal component analysis (PCA) across five sustainability dimensions. Spatial lag and spatial error models are estimated by quasi-maximum likelihood within a spatial panel framework, complemented by geographically weighted regression (GWR) on a 42-city subsample and two-stage least squares (2SLS). Findings A ten-point GUDI increase is associated with an 11.8%–12.7% rise in median housing prices (spatial lag model ß = 0.118***; 2SLS ß = 0.118–0.127***), consistent with a causal interpretation once spatial dependence and endogeneity are addressed. Ordinary least squares estimates (0.142***) are 14%–21% higher, consistent with upward endogeneity bias. Housing prices show strong spatial dependence (Moran’s I = 0.61, p < 0.01), with GWR estimates indicating stronger effects in denser, higher-income areas; diagnostics confirm robustness across specifications. Research limitations/implications The analysis relies on available institutional data sets and may not fully capture micro-level heterogeneity within cities; GWR estimates draw on a 42-city subsample rather than the full 120-MSA panel. Practical implications Findings suggest that sustainable urban development investment is associated with higher property values, offering evidence relevant to policymakers, urban planners, and real estate stakeholders, though distributional effects on affordability warrant careful attention. Originality/value This study contributes a PCA-based composite index (GUDI) and integrates spatial econometric and instrumental-variable methods to provide cross-national evidence on the sustainability–housing price relationship.

The authors' abstract, as published at the source. International Journal of Housing Markets and Analysis, 2026 · DOI ↗

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Field: Building and Construction

Building and ConstructionEngineering