How Does the Spatial Structure of the Furniture Industry Shape Urban Residents’ Health? Evidence from China Labor-Force Dynamics Survey and POI Data

In the context of advancing sustainable urban development, the spatial organization of industries plays a critical role in shaping environmental quality, economic vitality, and public health. This study examines the health effects of furniture enterprises agglomeration in Chinese cities, using a unique dataset combining point-of-interest (POI) big data and micro-level survey responses from 13,217 individuals. The results show that a one-unit increase in furniture enterprises agglomeration intensity is associated with a 0.656-unit improvement in physical health and a 0.060-unit improvement in mental health. These benefits are driven by three synergistic mechanisms: environmental improvement, income growth, and enhanced public health services. However, the health gains are unevenly distributed, with greater benefits observed in less-developed cities and among vulnerable groups such as low-skilled and middle-aged workers. We further reveal divergent effects between specialized and diversified agglomeration patterns, moderated by environmental regulation. Our findings underscore the need for health-oriented industrial policies that align with sustainable urban planning, emphasizing spatial adaptation, targeted support for vulnerable populations, and innovative regulatory approaches to foster both industrial growth and resident well-being.

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Publication Details

Journal
Sustainability
Published
2025-12-29
DOI
https://doi.org/10.3390/su18010345
Primary Topic
Urban Green Space and Health
Type
article
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article

How Does the Spatial Structure of the Furniture Industry Shape Urban Residents’ Health? Evidence from China Labor-Force Dynamics Survey and POI Data

Xiangdong Dai, A. K. L. Wu, C. Chen, Zhenjun Wang et al.
Sustainability
Urban Green Space and Health
article

How Does the Spatial Structure of the Furniture Industry Shape Urban Residents’ Health? Evidence from China Labor-Force Dynamics Survey and POI Data

Xiangdong Dai, A. K. L. Wu, C. Chen, Zhenjun Wang, Yuning Liu, Zigui Chen
article en

Abstract

In the context of advancing sustainable urban development, the spatial organization of industries plays a critical role in shaping environmental quality, economic vitality, and public health. This study examines the health effects of furniture enterprises agglomeration in Chinese cities, using a unique dataset combining point-of-interest (POI) big data and micro-level survey responses from 13,217 individuals. The results show that a one-unit increase in furniture enterprises agglomeration intensity is associated with a 0.656-unit improvement in physical health and a 0.060-unit improvement in mental health. These benefits are driven by three synergistic mechanisms: environmental improvement, income growth, and enhanced public health services. However, the health gains are unevenly distributed, with greater benefits observed in less-developed cities and among vulnerable groups such as low-skilled and middle-aged workers. We further reveal divergent effects between specialized and diversified agglomeration patterns, moderated by environmental regulation. Our findings underscore the need for health-oriented industrial policies that align with sustainable urban planning, emphasizing spatial adaptation, targeted support for vulnerable populations, and innovative regulatory approaches to foster both industrial growth and resident well-being.

SustainabilityVol. 18(1)
Central South University of Forestry and Technology (CN), Central South University (CN), Shanghai University of Finance and Economics (CN), Hang Seng University of Hong Kong (HK), Hunan University of Technology (CN), University of Hong Kong (HK)
Sustainable cities and communities
Openalex Percentile: Top 32%
Urban Green Space and Health
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How Does the Spatial Structure of the Furniture Industry Shape Urban Residents’ Health? Evidence from China Labor-Force Dynamics Survey and POI Data — Xiangdong Dai, A. K. L. Wu, et al. · Sustainability (2025) | TGRS Research Map | TGRS