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China’s New Housing Security Model: Evaluation of the Job–Housing Balance in Affordable Rental Housing, Shanghai

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  • Peihong Wang

    (College of Environment & Ecology, Xiamen University, Xiamen 361021, China)

  • Kerun Li

    (Faculty of Innovation and Design, City University of Macau, Macau 999078, China)

  • Wenbing Zhang

    (Academy of Arts and Design, Tsinghua University, Beijing 100084, China)

Abstract

The Chinese government’s recent low-income housing scheme aims to tackle housing challenges faced by the urban floating population. A notable shift in this initiative is the focus on the job–housing balance. This study proposes that the spatial interaction between land designated for affordable rental housing and land for commercial facilities serves as a fundamental metric for evaluating this equilibrium, providing insights into the effectiveness of China’s nascent affordable housing efforts. Drawing on post-2021 data, when China’s revamped affordable housing policy took effect, our research examines the spatial distribution of affordable rental housing and commercial service land in Shanghai. By employing coupled coordination models and local entropy metrics, we delve into the supply equilibrium and pragmatic interrelation of these land types. Our findings reveal localized clustering in the spatial arrangement of rental and commercial land within Shanghai. Zones in the urban core exhibit a supply balance, while the peripheries display diminishing accessibility between these land types. Core urban areas have a lower supply balance but higher accessibility, whereas urban fringes face both low supply balance and low accessibility. These study outcomes have significant implications for strategic planning and the construction of affordable rental housing.

Suggested Citation

  • Peihong Wang & Kerun Li & Wenbing Zhang, 2024. "China’s New Housing Security Model: Evaluation of the Job–Housing Balance in Affordable Rental Housing, Shanghai," Land, MDPI, vol. 13(7), pages 1-26, July.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1034-:d:1432350
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    References listed on IDEAS

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    3. Dezhi Li & Wentao Wang & Guanying Huang & Shenghua Zhou & Shiyao Zhu & Haibo Feng, 2023. "How to Enhance Citizens’ Sense of Gain in Smart Cities? A SWOT-AHP-TOWS Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 787-820, February.
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