The Effect of Housing Prices on Urban Innovation Capability: New Evidence From 246 Chinese Cities

ABSTRACT This study investigates the impact of rising housing prices on urban innovation capabilities from a comprehensive and systemic perspective, using panel data from 246 Chinese cities from 2004 to 2020. The findings challenge traditional views that emphasize only the negative effects of high housing prices on innovation. Instead, the analysis reveals that rising housing prices can enhance urban innovation through specific mechanisms. These include attracting and concentrating talent and generating spatial spillover effects that benefit neighboring cities. The study employs feasible methodological approaches, including the analytic hierarchy process (AHP), to measure urban innovation capability and spatial econometric models to capture spillover effects. The results provide valuable insights for policymakers to promote urban innovation, including stabilizing housing markets, optimizing industrial structures, attracting high‐skilled individuals, and establishing inter‐city innovation coordination mechanisms. This research contributes a novel theoretical framework for understanding the complex relationship between housing prices and urban innovation, enriching the fields of urban economics and innovation studies.

Authors

Institutions

Publication Details

Journal
American Journal of Economics and Sociology
Published
2024-12-27
DOI
https://doi.org/10.1111/ajes.12610
Citations
1
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effect of Housing Prices on Urban Innovation Capability: New Evidence From 246 Chinese Cities

Zuanxu Chen, Marina Yue Zhang, Mingyang Li
1 citations
American Journal of Economics and Sociology
Housing Market and Economics
1.13
article

The Effect of Housing Prices on Urban Innovation Capability: New Evidence From 246 Chinese Cities

Zuanxu Chen, Marina Yue Zhang, Mingyang Li
article en
1 citations

Abstract

ABSTRACT This study investigates the impact of rising housing prices on urban innovation capabilities from a comprehensive and systemic perspective, using panel data from 246 Chinese cities from 2004 to 2020. The findings challenge traditional views that emphasize only the negative effects of high housing prices on innovation. Instead, the analysis reveals that rising housing prices can enhance urban innovation through specific mechanisms. These include attracting and concentrating talent and generating spatial spillover effects that benefit neighboring cities. The study employs feasible methodological approaches, including the analytic hierarchy process (AHP), to measure urban innovation capability and spatial econometric models to capture spillover effects. The results provide valuable insights for policymakers to promote urban innovation, including stabilizing housing markets, optimizing industrial structures, attracting high‐skilled individuals, and establishing inter‐city innovation coordination mechanisms. This research contributes a novel theoretical framework for understanding the complex relationship between housing prices and urban innovation, enriching the fields of urban economics and innovation studies.

American Journal of Economics and SociologyVol. 84(2)
Hebei University of Economics and Business (CN), University of Technology Sydney (AU)
Sustainable cities and communities
Openalex Percentile: Top 10%
Housing Market and Economics
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.