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Spatial differentiation of carbon emissions reduction potential for construction and demolition waste recycling

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Abstract

Identifying the regional differences and drivers for carbon reduction of construction and demolition waste (C&DW) recycling is essential to combat climate change. This study aims to calculate the carbon reduction potential for C&DW recycling from 2006 to 2021 in China and investigates the spatial differences and driving factors of carbon reduction potential for C&DW waste by combining the Theil index, Gini coefficient, and geographic detector methods. The carbon reduction potential for C&DW recycling in China was “high in the east and low in the west” overall level, with an average annual growth rate of 6.27%. The overall differences in carbon reduction potential for C&DW recycling are decreasing, mainly due to intraregional differences and inter-provincial differences in Northeast China. The population size, urbanization rate, and technological effect are the key factors influencing carbon reduction potential for C&DW recycling. There are two types of interactions between influencing factor pairs: nonlinear enhancement and two-factor enhancement. This study’s results can guide policymakers to devise relevant, regionally specific policies.

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Data availability

The datasets used and/or analyzed during the current study are available from the first author on request (Zhenshuang Wang).

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Funding

This work was supported by National Social Science Foundation of China (no.22BGL187).

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Zhenshuang Wang: conceptualization, data curation, and methodology. Fei Qin: writing—original draft, data curation. Jingkuang Liu: conceptualization, data curation and visualization. Bo Xia: conceptualization, formal analysis and validation. Nicholas Chileshe: conceptualization, validation.

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Correspondence to Jingkuang Liu.

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Responsible Editor: V.V.S.S. Sarma

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Wang, Z., Qin, F., Liu, J. et al. Spatial differentiation of carbon emissions reduction potential for construction and demolition waste recycling. Environ Sci Pollut Res 30, 122304–122321 (2023). https://doi.org/10.1007/s11356-023-30953-3

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  • DOI: https://doi.org/10.1007/s11356-023-30953-3

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