Author Information
Xiaohan Wang, Tsinghua University, ChinaHong Zhang, Tsinghua University, China
Abstract
To address China’s dual-carbon goals in rural cold zones, this study proposes a multi-scale classification framework for village redevelopment, with empirical focus on the North China Plain. Provincial housing datasets subjected to machine learning clustering reveal three distinct village prototypes differentiated by infrastructural capacity, policy alignment, and technological adoption levels. Geospatial analysis reveals concentrated technology-adoption hotspots in prosperous eastern zones, exhibiting distinct developmental hierarchies, while infrastructure-deficient villages aggregate in northern ecologically fragile zones with elevated seismic risks and incomplete retrofitting. Transitional zone settlements demonstrating policy alignment show regulatory adherence deficiencies that contradict their partial modernization achievements, revealing institutional inertia in adapting national standards to local contexts. Empirical linkages connect deficient regulation implementation, outdated construction materials, and residential emission profiles through causal analysis, advocating for circular economy integration in advanced zones and blockchain-enabled quality tracking in lagging regions. Spatially differentiated governance strategies target northern bioclimatic upgrades and eastern intelligent energy networks for emission reduction prioritization—this framework bridges rural revitalization with climate resilience. The findings challenge deterministic development models, emphasizing adaptive policy calibration to reconcile ecological thresholds with equitable progress in emerging economies.
Paper Information
Conference: ACSS2025Stream: Urban Studies
This paper is part of the ACSS2025 Conference Proceedings (View)
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To cite this article:
Wang X., & Zhang H. (2025) Spatial Heterogeneity and Village Reclassification for Low-Carbon Transition: A Multi-scale Typology Framework in China ISSN: 2186-2303 – The Asian Conference on the Social Sciences 2025: Official Conference Proceedings (pp. 413-420) https://doi.org/10.22492/issn.2186-2303.2025.34
To link to this article: https://doi.org/10.22492/issn.2186-2303.2025.34
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